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European Journal of Education, 2025; 60:e12904
https://doi.org/10.1111/ejed.12904
European Journal of Education
SPECIAL ISSUE Reinventing University: Digital Challenge in Higher Education
ORIGINAL ARTICLE OPEN ACCESS
Teacher Education in the Age of Digitality: Conclusions
From a Design- Based Research Project
AngelikaBernsteiner1 | ClaudiaHaagen- Schützenhöfer1 | ThomasSchubatzky2
1Department of Physics Education Research, Institute of Physics, University of Graz, Graz, Austria | 2Department of Subject- Specific Education and
Institute for E xperimental Physics, University of Innsbruck, Innsbruck, Austria
Correspondence: Angelika Bernsteiner (angelika.bernsteiner@uni-graz.at)
Received: 1 July 2024 | Revised: 4 December 2024 | Accepted: 17 December 2024
Funding: The authors received no specif ic funding for this work.
Keywords: design- based research| digital media| digital transformation| mixed- methods studies| science| teacher education
ABSTRACT
In response to the essential need for digital competences in education, a 3- year Design- Based Research project was conducted to
prepare pre- service mathematics and science teachers for the demands of teaching in the digital age. Over three design cycles, an
evidence- based course design for teaching and learning with and about digital media was developed. The interactions of 37 pre-
service teachers with the course design were examined using a mixed- methods approach. Acceptance surveys, pre- , mid- , post-
surveys and reflection journals informed iterative phases of refinement. This article presents global project findings and derives
contributions to context- specific theories about teaching and learning with and about digital media. From this, key implications
for higher (teacher) education are discussed, such as the use of scaffolds and teaching vignettes to promote self- efficacy expecta-
tions for implementing digital data acquisition and the use of the SAMR model as a scaffold for planning digitally transformed
lessons.
1 | Introduction
Digital tools have become an integral part of our personal and
professional lives. Their widespread integration across different
sectors, coupled with the ongoing digitalisation of processes, is
driving a significant change in society known as digital trans-
formation (Vial 2019). This transformation offers a range of
opportunities, from increased opportunities for social and po-
litical engagement for everybody to streamlined communi-
cation. However, it also presents challenges, such as the fast
spread of disinformation through digital channels that under-
mines trust in science and democracy (German NGO Forum on
Environment and Development2019).
To effectively navigate this new digital landscape, individuals
need digital competences (Vuorkari, Kluzer, and Punie 2022).
Therefore, the digital transformation of society requires
the promotion of digital competences at all educational lev-
els—from primary to higher education (Goulart, Liboni, and
Cezar ino 2022; Irion, Peschel, and Schmeinck 2023; Thyssen
etal.2023). Teacher education can empower cert ain parts of soci-
ety, namely (pre- service) teachers and their students, to actively
engage in our dig ital world. Thus, it is crucial in tea cher education
to promote digital competences at two distinct but interrelated
levels: First, to improve the digital competences of pre- service
teachers (PST) themselves, and second, to equip PSTs with the
necessary skills to effectively foster digital competences among
their students. This dual focus not only prepares PSTs for the
demands of a digital society but also ensures that they are able
to foster digital competences in the next generation of learners
(Brinda etal.2019; Ir ion, Peschel, and Schmeinck2023; Thyssen
etal. 2023). However, there are still gaps in many teacher edu-
cation programs in preparing PSTs to integrate learning oppor-
tunities that foster students' digital competences (OECD2019).
This is a n open access ar ticle under the terms of t he Creative Commons Attr ibution License, which p ermits use, dis tribution and repro duction in any medium, p rovided the orig inal work is
properly cited.
© 2025 T he Author(s). European Jour nal of Educatio n published by John Wi ley & Sons Ltd.
2 of 18 European Journal of Education, 2025
Research shows that PSTs often feel ill- equipped to teach with
and about digital media and rate their digital competences as
low (Ambros, Dolezal, and Motschnig2022).
Recognising this gap, we aimed to address it in a 3- year proj-
ect at the University of Graz. The project, which ran from 2021
to 2024, had two development and research objectives: First, to
iteratively develop a course design that prepares PSTs of mathe-
matics and science subjects for teaching in our digitalised soci-
ety, and second, to investigate PSTs' learning processes within
this course.
This article focuses on the latter and presents the global project
findings and their implications for higher (teacher) educational
practices in our digitalised society (Stalder 2018). Although
we have previously shared some of the outcomes from various
project phases and focal points in papers and in a German-
language PhD- thesis (Bernsteiner 2023), this article seeks to
contextualise these outcomes within the broader context of de-
veloping digital competences in teacher education. Our goal is
to contribute to context- specific theories such as ‘domain the-
ories’ (Edelson2002) on teaching and learning with and about
digital media in teacher education, in other words, to broaden
and deepen the existing literature base (analytic generalisations
according to Firestone1993).
2 | Design- Based Research: A Paradigm for
Research and Development
Our project utilised the Design- Based Research (DBR) para-
digm, a benefit- oriented approach that aims at developing in-
tervention designs to address practical (educational) problems,
while advancing theoretical knowledge within the problem con-
text (The Design- Based Research Collective 2003; McKenney
etal.2012). DBR thus links research and development, bridging
theory and design (The Design- Based Research Collective2003;
Haagen- Schützenhöfer and Hopf 2020; McKenney etal. 2012;
Obczovsky et al. 2024). In DBR projects, intervention designs
are developed guided by desig n conjectures—assumptions about
learning that are grounded in empirical and theoretical insights.
These conjectures are translated into intervention components
through design criteria (Obczovsky etal.2024; Sandoval2014).
Our project addressed the practical educational problem of
limited learning opportunities to develop digital competences
in teacher education (Ambros, Dolezal, and Motschnig 2022;
OECD 2019). Across three design cycles (winter 2021/2022,
summer 2022, winter 2022/2023), we developed and refined a
course design for mathematics and science teacher education,
examining the learning processes of PSTs. Section3 details the
design conjectures and design criteria underlying our approach.
In DBR, each design cycle serves to r efine design c onjectures and
design criteria, advancing theoretical knowledge (Edelson2002;
The Design- Based Research Collective 2003; Haagen-
Schützenhöfer, Obczovsky, and Kislinger 2024; Obczovsky
etal.2024). This article summarises our findings from each de-
sign cycle, synthesising them into global project findings that
contribute to context- specific theories on teaching and learning
with and about digital media (in teacher education).
3 | Development of the Course ‘Facts, Fakes and
Algorithms’
As initial educational problem of our DBR project, we identified
the inadequate preparation of PSTs for teaching i n the digital age
(Ambros, Dolezal, and Motschnig 2022; OECD2019): Locally,
at our university site, lecturers observed that PSTs have diffi-
culties in using digital media in various courses and PSTs ex-
pressed that teaching with digital media is challenging for them.
However, evidence shows that it is crucial to support PSTs in
using digital media and planning lessons with and about digital
media to prepare them to enable their students to participate in
our digitalised society (Drossel and Eickelmann2018; Lorenz,
Heldt, and Eickelmann 2022). Consequently, we pursued the
goal of crafting a course design for the mathematics and science
teacher education programs of our university. In DBR, develop-
ment is typically based on a detailed problem analysis, to narrow
down the complex initial problem for the given local context. To
evaluate the presumed initial educational problem in detail for
the local context of our university, we analysed curricula and
conducted surveys involving university lecturers and PSTs to
map offered and perceived learning opportunities (Bernsteiner,
Haagen- Schützenhöfer etal.2023; Mandl et al. 2022). This en-
abled us to identify those aspects of digital media that are most
relevant to the PSTs at our university site. This is because there
are many aspects of digital media that could be addressed in a
course for PSTs, but not all of them can be covered in just one
course. The results of this research, combined with the results
of a comprehensive literature review, informed the learning ob-
jectives and course design (Bernsteiner, Haagen- Schützenhöfer
et al. 2023). For example, the results of our problem analysis
show that the majority of PSTs state having no experience with
tools for digital data acquisition and with sensors (Bernsteiner,
Haagen- Schützenhöfer et al. 2023). However, working with
such tools is anchored in the Austrian school curriculum
(BMBWF 2024) and in digital competence models for pre-
service science teachers (Thoms et al.2022). This discrepancy
became apparent through the problem analysis and led us to in-
clude the work with sensors and microcontrollers in the course.
3.1 | Learning Objectives of the Course
From the results of the problem analysis and the analysis of dif-
ferent competence models (Brinda etal.2019; Thoms etal.2022;
Thyssen et al.2023), we deduced that the course should cover
several key areas: Learning arrangements to prepare PSTs for (I)
the digitally transformed use of digital media (modification and
redefinition; Puentedura 2006) in the classroom, especially of
microcontrollers and sensors; (II) teaching and learning about
digital media; (III) understanding digitality (Stalder2018) and
digital transformation. To achieve this, we defined the learning
objectives (LO) for the course presented in Table1 (Bernsteiner,
Haagen- Schützenhöfer etal.2023).
3.2 | Design Conjectures and Design Criteria
Starti ng with these learnin g objectives, we developed the specif ic
course design based on theoretically and empirically grounded
design conjectures and criteria. After each design cycle, we
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refined, adapted and extended the initial design conjectures
and criteria based on the research results of these design cycles.
Tables2–4 show the final set of design conjectures and criteria
and indicate adaptations made in response to research results
across the three design cycles.
What sets the course design apart is its foundation on general
teaching- learning theories and digitality- related theories, as
well as empirical findings from various disciplines. These in-
clude, among others, the cognitive theor y of multimedia learn-
ing (Mayer 2009), the ‘Synthesize Qualitative Data Model’
from professionalisation research (Tondeur et al. 2012), the
psychological approach of inoculation (McGuire 1961) and
empirical findings in the context of using Arduino (Chung
and Lou2021).
3.3 | Design of the Course ‘Facts, Fakes
and Algorithms’
The course design, developed according to the presented design
criteria, wa s offered as a free elective for PS Ts of biology, chemistry,
mathematics and physics. This interdisciplinary course consisted
of 11 2- h units divided into two main parts and was framed by
the challenges of the COVID- 19 pandemic (Bernsteiner, Haagen-
Schützenhöfer et al. 2023; Bernsteiner, Schubatzky, et al. 2023;
Bernsteiner, Schubatzky, Haagen- Schützenhöfer, et al. 2024;
Bernsteiner, Schubatzky, Spitzer, etal.2024). What is special about
our course design is that it addresses many different facets of digi-
tal media, as well as teaching and learning with digital media and
teaching and learning about digital media. Figure1 illustrates the
embodiment of the design criteria and learning objectives in form
of the course design. It also provides information on the timing
and type of data collection for formative evaluation, such as sur-
veys and reflection journal entries (see Section5).
4 | General Research Questions
By developing a theoretically and empirically grounded course
design, we aimed to contribute to the preparation of PSTs for
teaching in the digital age. To draw conclusions about the ex-
tent to which the course design could actually contribute to this,
we investigated the interaction of PSTs with the course design.
The distinctiveness of our course lies in its strong interdisci-
plinary theoretical foundations, as detailed in Section3.2, and
its comprehensive treatment of digital media as presented in
Section3.3. Moreover, it stands out in the breadth of its associ-
ated general research questions, which address the professional
development of PSTs in the context of the digital age from mul-
tiple angles. Our inquiry extended beyond PSTs' digital compe-
tences to include their attitudes towards technology. Here, too,
TABLE | Learning objectives of the course (Bernsteiner, Haagen- Schützenhöfer etal.2023).
Learning objectives concerning pre- ser vice teachers' digital competences
The pre- service teachers can…
LO.1 implement physical computing using Arduino.
LO.2 explain computational thinking as a specific type of problem- solving skill.
LO.3 use the structure and functionality of an Arduino board and its software.
LO.4 carry out mathematical and scientific investigations using software (Arduino development environment).
LO.5 analyse results of mathematical and scientific investigations using digital media (e.g., Excel).
LO.6 present results of mathematical and scientific investigations in a targeted way using digital media.
LO.7 explain the concept of a culture of digitality (Stalder2018).
LO.8 explain how algorithms work.
LO.9 reflect on the impact of algorithms on society.
LO.10 evaluate the credibility of information.
LO.11 recognise disinformation and strategies used to spread it.
LO.12 refute disinformation with scientifically sound arguments.
Learning objectives concerning pre- ser vice teachers' competences, to promote digital competences of students
The pre- service teachers can…
LO.13 reflect on the opportunities and challenges of using Arduino
microcontrollers in mathematics and science lessons.
LO.14 describe strategies for teaching the responsible use of information,
including strategies for recognising disinformation.
LO.15 describe options for embedding aspects of digitality in mathematics and science lessons.
LO.16 plan the use of digital media to digitally transform lessons.
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4 of 18 European Journal of Education, 2025
we drew on var ious models and examined b oth attitudes toward s
the expected utility of digital media (cf. Technology acceptance
model; Davis1989) and attitudes towards self- efficacy in using
digital media (cf. Theory of planned behaviour; Fishbein and
Ajzen2010).
The four general research questions of our project are pre-
sented below.
In the digital age, broad digital competences such as tech-
nological knowledge (TK), technological content knowledge
(TCK), technological pedagogical knowledge (TPK) and tech-
nological pedagogical content knowledge (TPACK) (Mishra and
Koehler 2006) are essential for teachers as these competences
can enhance the quality of digital media use in the classroom
(von Kotzebue2022). Teachers with high self- rated digital com-
petences are more likely to incorporate digital media into their
TABLE | Final set of design conjectures of the course.
Design conjecture
Original design conjectures A Design decisions are based on empirical and theoretical
justifications (Haagen- Schützenhöfer and Hopf2020).
B PSTs create an individual, personal construct of meanings and connections with
aspects of their lives for the respective learning content (Widodo and Duit2004).
C Digital competence models and frameworks form the normative
framework for digital competence objectives of prospective teachers.
D The Synthesize Qualitative Data (SQD) model by Tondeur etal.(2012) provides
guidelines for integrating digital media and technologies into teacher training
in a targeted and learning- promoting manner (Weiler etal.2021).
E Flipped- classroom- settings prove effective for learning when designed
carefully and in line with leaners' needs and they can serve to differentiate
tasks for heterogeneous groups of learners (Kim etal.2014; Oppl2018).
F PSTs' working memory has limited capacity. As this facilitates learning new content,
it is important to minimise the effort of the working memory (Mayer2009).
G Teacher education in the age of digitality includes training in teaching and learning
with and about digital media as well as teaching and learning about digital
transformation processes and digitality (Irion, Peschel, and Schmeinck2023).
H Stalder's(2018) concept of digitality provides a good structure
for designing a course in the context of digitality.
I Working with Arduino promotes an understanding of what
algorithms are (Chung and Lou2021; El- Abd2017).
J Active inoculation and logic- based debunking aim to promote a critical approach
to (dis)information and the development of a disinformation resistance (Cook,
Lewandowsky, and Ecker2017; Lewandowsky, Ecker, and Cook2017; McGuire1961).
Adaptions in design- cycle 2 K Using the Substitution- Augmentation- Modification- Redefinition
(SAMR) model (Puentedura2006) following the approach of Blundell,
Mukherjee, and Nykvist(2022) helps PSTs to understand and plan
digitally transformed lessons (Boonmoh and Kulavichian2023).
L Scaffolds support PSTs in inquiry- based learning with
Arduino (Arnold, Kremer, and Mayer2017).
M Teaching vignettes offer a simulation of classroom reality and encourage reflection
on teaching- learning actions in classroom situations (Skilling and Stylianides2020).
Adaptions in design- cycle 3 N Alongside the consideration of cognitive aspects, teacher training for planning and
implementing digitally transformed teaching also requires working with attitudes
and beliefs related to digitally transformed teaching (Backfisch etal.2021).
O In order to prepare PSTs for the implementation of inquiry- based learning
(Blanchard etal.2010), they need to become familiar with this didactic
concept on three levels (Rosa2013): (1) implementation of inquiry- based
learning from the learner's perspective, (2) learning about inquiry- based
learning and (3) reflection on inquiry- based learning in the classroom.
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5 of 18
TABLE | Final set of design criteria of the course—part 1.
Design criterion
Underlying
design
conjec ture(s)
Original
design
criteria
1 Theoretical foundations and empirical findings on learning and teaching with
and about digital media and about digitality are used as a solid basis to make
systematic design decisions for the development of single learning arrangements.
A
2 Due to the framing of the course by the challenges of the COVID- 19 pandemic,
PSTs are presented with problems that are important to them.
B
3 PSTs are explicitly offered opportunities to interact with fellow
students and lecturers in both digital and analog formats.
B, D
4 Digital opportunities for independent learning and self- reflection
are created for PSTs and specifically supported by lecturers.
B, D
5 The “Digitality- Related Pedagogical and Content Knowledge” (DPaCK)
model (Thyssen etal.2023) is used as a normative basis for preparing PSTs
of mathematics and science subjects for teaching in the age of digitality.
C
6 Theoretical instruction on digital media content is linked to practical work with digital
media so that what has been learnt in theory can be practised in a timely manner.
D
7 Alternative strategies are used to assess performance. The
PSTs are given continuous feedback by the lecturers.
D
8 The design of the single learning arrangements of the digital learning arrangement
for the self- learning phase of the flipped- classroom- setting follows the framework
of Kwan Lo and Foon Hew(2017) and the criteria of Kim etal.(2014).
E
9 In the digital learning arrangement, information that is not essential for
processing is avoided. This follows the coherence principle (Mayer2009).
F
10 Following the multimedia principle (Mayer2009), information in the digital
learning arrangement is offered in various, independent formats.
F
11 According to the principle of segmentation (Mayer2009), efforts are made to focus
the attention of the PSTs on only one specific topic at a time during their work
in the digital learning arrangement and when they use Arduino in general.
F
12 PSTs are offered opportunities to learn with digital media and to learn
how to use digital media for teaching and learning in the classroom.
G
13 PSTs are offered opportunities to learn about digital media and to
learn how to use them as a learning object in the classroom.
G
14 PSTs deal with Stalder's(2018) concept of digitality. G
15 PSTs are offered opportunities to engage with various digital tools for communication,
collaboration and design to enhance their understanding that they can participate
in shaping the culture of digitality in terms of community (Stalder2018).
G
16 To promote understanding of the aspect of algorithmicity (Stalder2018),
PSTs are offered learning opportunities to work with Arduino and
Arduino- compatible sensors, as well as complementary discussions on
the opportunities and challenges associated with algorithms.
I
17 To promote understanding of the aspect of referentiality (Stalder2018), PSTs are offered
opportunities to deal with disinformation circulating in digital and analog media.
J
18 PSTs learn about techniques of science denial (Cook, Lewandowsky,
and Ecker2017) and use these techniques in terms of active inoculation
to create disinformation and to debunk disinformation.
J
(Continues)
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6 of 18 European Journal of Education, 2025
teaching practices (Lorenz, Heldt, and Eickelmann2022). The
technology- related competences anchored in the TPACK model
only cover part of the competences required for teaching in the
age of digitality (Thyssen etal. 2023). For example, the digital
age is characterised by an enormous f lood and density of par-
tially unfiltered information and offers new opportunities and
practices for communication (Stalder 2018). These new prac-
tices and opportunities, along with the associated opportunities
and challenges, require competences that go beyond TPACK,
for example, competences in dealing with new communication
possibilities and the challenge of disinformation (Thyssen
etal.2023).
Therefore, we pursued the following research questions, both
relating to digital competences of PSTs:
RQ1. To what extent does the course design, developed
according to the design criteria, affect PSTs' digital
competences?
Design criterion
Underlying
design
conjec ture(s)
Adaptions
in design-
cycle 1
19 The content of the course is based on PSTs' prior knowledge and attitudes towards
the use of digital media as identified in the preliminary surveys. Before working with
various digital media, the PSTs are given information and operating instructions.
B
20 Working with Arduino is implemented using the flipped
classroom setting to differentiate tasks for the heterogeneous
group of PSTs with regard to their prior knowledge.
E
TABLE | (Continued)
TABLE | Final set of design criteria of the course—part 2 .
Design criterion
Underlying design
conjec ture(s)
Adaptions in
design- cycle 2
21 A handout, step- by- step explanations and sample solutions are provided
for working in the flipped- classroom- setting to differentiate tasks for
the heterogeneous group of PSTs with regard to their prior knowledge.
E
22 PSTs use the SAMR model (Puentedura2006) several times
as a scaffold for planning the implementation of digital media
in the classroom. For this, the SAMR model is condensed into
two levels (level 1, enhancement: substitution & augmentation
and level 2, transformation: modification & redefinition).
K
23 Depending to the PSTs' self- assessment of their prior programming
knowledge, the PSTs are either supported by peer tutoring in
the implementation of physical computing with Arduino or
take on a supporting role in the context of peer tutoring.
L
24 Frequently asked questions (FAQs) are integrated into the
digital learning arrangement as a macro- scaffold to support
PSTs in inquiry- based learning with Arduino.
L
25 Step- by- step instructions are integrated into the digital learning
arrangement as a macro scaffold to support PSTs in acquiring
basic knowledge of digital data acquisition with Arduino.
L
26 All program codes for working with Arduino are made available
to the PSTs so that they do not have to program themselves,
but can make adjustments to the code if necessary.
L
27 To reflect on teaching- learning processes in the context of digital
data acquisition with Arduino, teaching vignettes based on Skilling
and Stylianides(2020) are developed and used in the course.
M
Adaption in
design- cycle 3
28 In preparation for the implementation of inquiry- based learning with
Arduino, PSTs are offered learning opportunities to learn about the
didactic concept of inquiry- based learning (Blanchard etal.2010).
O
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7 of 18
a. To what extent does the course design, developed accord-
ing to the design criteria, affect PSTs' assessment of their
TK, TCK, TPK and TPACK?
b. To what extent does the course design, developed accord-
ing to the design criteria, affect PSTs' competence in deal-
ing with digital (dis)information?
Teaching in the digital age requires teachers to plan and im-
plement the use of digital media in a didactically sound way. It
is crucial for teachers to understand that digital media can not
only replace analogue media, but can also digitally transform
teaching, re sulting in positive changes i n teaching and learni ng
processes. Digital transformation occurs when digital media
are used for modification or redefinition (Puentedura2006),
that is, to positively change teaching- learning processes for
better student outcomes (Kramer etal. 2019; Stinken- Rösner
etal.2023).
However, teachers and PSTs predominantly use digital
media for substitution or augmentation (Boonmoh and
Kulavichian 2023; Budiman, Rahmawati, and Ulfa 2018;
Kramer et al. 2019; Puentedura 2006; Stinken- Rösner
etal. 2023). Given this context, we pursued the following re-
search question:
RQ2. To what extent does the course design,
developed according to design criteria, influence
PSTs' understanding of digitally transformed
teaching?
In addition to digital competences, self- efficacy expecta-
tion (Bandura 1986) inf luences motivation (Ertmer and
Ottenbreit- Leftwich2010; Fishbein and Ajzen2010; Vogelsang
etal.2019) and the quality of digital media use in the class-
room (Yotyodying and Lorenz 2023) Therefore, self- efficacy
expectation is an important construct to address in teacher
education. In this context, we pursued the following research
question:
RQ3. To what extent does the course design,
developed according to the design criteria, affect
PSTs' self- efficacy expectations regarding the
aspects of digital media addressed by the course
design?
Other motivational and attitudinal factors, such as the ex-
pected utility value of digital media, also influence whether
teachers integrate digital media into their teaching (Backfisch
FIGUR E | Structure of the course design of ‘Facts, Fakes and Algorithms’.
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8 of 18 European Journal of Education, 2025
etal. 2021; Davis 1989; Ertmer and Ottenbreit- Leftwich 2010;
von Kotzebue2022). To this end, we pursued the following re-
search question:
RQ4. To what extent does the cours e design, developed
according to design criteria, affect the benefits of
digital media as anticipated by PSTs?
5 | Research Design
This project achieved outcomes at two different levels, namely
(1) the level of the individual design cycles and (2) the level of
interpretation of the results of these design cycles.
5.1 | Mixed- Methods Studies Along Three
Design- Cycles
In order to conduct a comprehensive, formative evaluation of the
course design , we used a mixed methods approach (Bry man2006).
In the first design cycle, we implemented a specific segment of
the course design—the digital learning arrangement for the self-
learning phase using Arduino—in a micro- setting with N = 7
PSTs. The learning processes were evaluated by means of accep-
tance surveys (Bernsteiner, Haagen- Schützenhöfer etal. 2023;
Jung1992).
In design cycles 2 and 3, the entire course design was imple-
mented with N = 17 and N = 13 PSTs respectively. For forma-
tive evaluation, we administered pre- , mid- and post- surveys
that included both closed and open- ended questions. Table5
outlines the constructs examined in the surveys. Additionally,
PSTs kept digital reflection journals throughout the course,
with specific prompts to reflect on the course content and their
learning processes. Lecturers' observations provided deeper
insights into ongoing processes. Personal codes were used to
merge data from surveys and ref lection journals for each PST.
Figure1 illustrates the survey instruments integrated into the
course design.
5.2 | Interpretation From a Global Project
Perspective
Each design cycle produced subresults that addressed the gen-
eral research questions of the project. These subresults relate
to a subsample of each design cycle. Tables 6–8 outline the
primary research foci, the main results and the implication
for the refinement of the course design for each of the three
design cycles.
In order to contribute to context- specific theories, we zoomed
out our focus on the individual design cycles and adopted an
overarching view: the global project perspective. From this per-
spective, we have interpreted the main results from the three
design cycles (Tables6–8) and summarised them as global proj-
ect findings along the four general research questions in the fol-
lowing areas:
5.2.1 | Area A: Digital Competences of PSTs
This area includes global project findings about digital compe-
tences of PSTs (general research question 1), distinguishing be-
tween their previous experience, their self- assessment of digital
competences and their preparation for teaching and working
with Arduino.
5.2.2 | Area B: Grasping the Nature of Digitally
Transformed Teaching
This area summarises the global project findings of PSTs' under-
standing of digitally transformed teaching, regarding general re-
search question 2.
5.2.3 | Area C: Self- Efficacy Expectations of PSTs
Global project findings in this area relate to the third general
research question regarding PSTs' self- efficacy expectations for
using digital media and dealing with (dis)information.
5.2.4 | Area D: Expected Utility Value of Digital Media
This area summarises global project findings on the fourth
general research question, which relates to the expected utility
value of digital media by PSTs.
6 | Global Project Findings
The analysis of the main results from the individual design cy-
cles (Tables 6–8) resulted in 11 global project findings. In the
following sections, these findings are clustered in four areas.
6.1 | Area A: Digital Competences of PSTs
6.1.1 | Global Project Findings About
Previous Experience
Global project finding I: While teacher education
programs in mathematics and science often include
opportunities for learning with digital media,
preparation for teaching about digital media remains,
for the most part, insufficiently integrated.
Our curriculum analysis and surveys revealed that PSTs at our
university are provided with learning arrangements for learning
with digital tools, but learning about digital media is underrep-
resented (Bernsteiner, Haagen- Schützenhöfer etal.2023; Mandl
etal.2022).
Global project finding II: Most mathematics and
science PSTs lack basic digital competences.
This project found that mathematics and science PSTs at our
university show a considerable heterogeneity in their prior
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9 of 18
TABLE | Content of the pre- , mid- and post- surveys. The items for the constructs listed were taken from the sources cited and slightly adapted to the content of the course.
Research question Construct PRE MID POST Example item
What prior knowledge regarding
aspects addressed by the course do
PSTs report?
Demographic data • Gender, age, enrolled studies (Bachelor/
Master), enrolled subjects, semester
Previous experience related to digital
media (Vogelsang etal.2019)
• During my teacher education, I used spreadsheet
programs (e.g., Excel) to work on tasks.
Relevant learning opportunities
within teacher education
• Open- ended question: Which relevant learning
opportunities in the course of your teacher
education program do you particularly remember
as positive regarding digital media?
Prior programming knowledge • Open- ended question: To what extend do
you have programming knowledge?
RQ3 Self- efficacy expectation: digital data
acquisition (Vogelsang etal.2019)
• • I am confident that I can conduct sensor-
based experiments in the classroom
RQ4 Expected utility value of using digital media
(van Braak, Tondeur, and Valcke2004)
• • • I believe that it is necessary to integrate
digital media into the classroom
RQ1 TPACK (Mishra and Koehler2006) self-
assessment (Stinken- Rösner2021)
• • • I can easily learn how to use digital media
RQ2 Understanding of digitality • • Open- ended question: The term digitality has
come up a lot in media recently. How would
you explain this term to your grandmother?
Understanding of digitally transformed teaching • • • Open- ended questions:
What competences do teachers need to be able
to design digitally transformed lessons?
RQ1- 4 Achievement of learning objectives • • By participating in the first part of the course, I
can implement physical computing with Arduino
What prior knowledge regarding
aspects addressed by the course do
PSTs report?
COVID- 19- knowledge (Schubatzky
and Haagen- Schützenhöfer2022)
• How do you rate your knowledge about COVID- 19?
RQ3 Self- efficacy expectation: recognising and
debunking disinformation (Schubatzky
and Haagen- Schützenhöfer2022)
• • I am always able to recognise COVID- 19- myths,
for example, on the internet or in social media,
even if they are expressed in scientific language
(Continues)
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10 of 18 European Journal of Education, 2025
knowledge of digital media and often need support with digital
tools and applications such as Microsoft Excel. Lecturers ob-
served, and self- assessments confirmed, greater heterogeneity
in specialised applications, such as digital data acquisition, than
in general applications, such as spreadsheet use (Bernsteiner,
Haagen- Schützenhöfer et al. 2023; Bernsteiner, Schubatzky,
Haagen- Schützenhöfer, et al. 2024; Bernsteiner, Schubatzky,
Spitzer, etal.2024).
Global project finding III: The implementation of
learning arrangements in a f lipped- classroom- setting
can be helpful in preparing PSTs with varying levels
of prior knowledge for using Arduino.
The flipped- classroom- setting used to introduce Arduino and
digital data acquisition (Bernsteiner, Haagen- Schützenhöfer
et al. 2023) supported addressing the varying levels of prior
knowledge and experience of PSTs with digital media and pro-
gramming (Bernsteiner, Haagen- Schützenhöfer et al. 2023).
During the self- learning phase, PSTs worked on Arduino and
digital data acquisition exercises, accessing learning videos and
instructions as needed. Preliminary surveys helped to tailor the
learning arrangements to PSTs' needs (Bernsteiner, Haagen-
Schützenhöfer etal.2023).
6.1.2 | Global Project Findings on Self- Assessment
of Digital Competences
Global project finding IV: Being overwhelmed when
working with A rduino can lead to low sel f- assessment
of TK among PSTs.
This project found that prior programming knowledge in-
fluenced PSTs' ability to work with Arduino and implement
digital data collection (Bernsteiner, Schubatzky, Haagen-
Schützenhöfer, et al. 2024; Bernsteiner, Schubatzky, Spitzer,
et al. 2024). Those with no prior programming knowledge
struggled despite the self- learning phase, felt overwhelmed and
subsequently rated their TK lower (Bernsteiner, Schubatzky,
Haagen- Schützenhöfer, et al. 2024; Bernsteiner, Schubatzky,
Spitzer, etal.2024).
Global project finding V: Inquiry- based learning with
Arduino can improve PSTs' self- assessment of their
TCK.
This project showed that using inquiry- based learning (level 1
according to Blanchard etal.(2010)) with Arduino as part of the
course design increased PSTs' self- assessed TCK (Bernsteiner,
Schubatzky, Haagen- Schützenhöfer, et al. 2024; Bernsteiner,
Schubatzky, Spitzer, etal.2024).
6.1.3 | Global Project Findings About Preparing PSTs
for Working and Teaching With Arduino
Global project finding VI: Scaffolding can support
PSTs in inquiry- based learning with Arduino.
Research question Construct PRE MID POST Example item
RQ1 Debunking competence (Schubatzky
and Haagen- Schützenhöfer2022)
• • Open- ended question based on a debunking
task: Analyse the given two excerpts from
letters to the editor and name all statements
that, in your opinion, are not in line with the
scientific state of the art on COVID- 19
RQ1- 4 Retrospective of the course • Open- ended questions: Which learning
opportunities offered to you do you remember as
particularly positive and conducive to learning?
TABLE | (Continued)
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TABLE | Sample, research foci, results and refinement of the course design: Design cycle 1 (Bernsteiner, Haagen- Schützenhöfer etal.2023).
Design cycle 1
Sample Ntota l = 7
Nmale = 4; Nfemale = 3; Nbachelor = 4; Nmaster = 3
Research foci Digital learning arrangement as a basis for the flipped classroom setting of the course:
Identification of aspects within the digital learning arrangement for working with
Arduino that are conductive to learning and those that are incomprehensible
Main results • Some PSTs have difficulties using the (digital) devices provided (laptop, tablet, cable)
• Most PSTs need additional help to be able to work on the tasks in the digital learning arrangement
independently
• The majority of PSTs have difficulties transferring their theoretical knowledge into the practical
implementation of digital data acquisition
Implications for
refinement of the
course design
We strengthened design criterion 19 (Table3): Before working with various digital
media, the PSTs are given information and operating instructions.
The main results from design cycle 1 suggest that it would be too difficult for the PSTs to
complete all the tasks of the digital learning arrangement independently in preparation
for the course. For this reason, we added design criterion 20 (Table3). Parts of the digital
learning arrangement are implemented in the face- to- face phase of the course.
TABLE | Sample, research foci, results and refinement of the course design: Design cycle 2 (Bernsteiner, Schubatzky, etal.2023; Bernsteiner,
Schubatzky, Haagen- Schützenhöfer, etal.2024; Bernsteiner, Schubatzky, Spitzer, etal.2024).
Design cycle 2
Sample Ntota l = 17
Nmale = 10; Nfemale = 7; Nbachelor = 9; Nmaster = 8
Research foci Investigation of the influence of PSTs' interaction with the course design on their:
a. self- assessment of digital competences (RQ1)
b. self- efficacy expectation (RQ3)
c. expected utility value of using digital media (RQ4)
d. understanding of digitally transformed teaching (RQ2)
e. dealing with disinformation (RQ1)
Main results Self- assessment of digital competences & self- efficacy expectation
• Most PSTs with prior programming knowledge differ from those without in their statements about TK,
TCK and self- efficacy expectations.
• Most PSTs without prior programming knowledge rated their TCK lower after working with Arduino
and felt over whelmed.
• Most PSTs rated their TPK and TPACK higher after working with Arduino but felt they lacked
opportunities to shift from a learners' to a teachers' perspective.
• After working with Arduino, PSTs expressed high self- efficacy expectations for implementing digital
data acquisition in the classroom, though lecturer observations did not fully align with these statements.
Understanding of digitally transformed teaching
• Lecturer observations indicate that while PSTs have ideas for using digital media to replace analog
media, they lack practical ideas for enhancing teaching- learning processes with digital media in digitally
transformed teaching.
Results for research foci (c) and (d) were analysed together with data from design cycle 3.
Implications for
refinement of the
course design
We added design conjecture K (Table2) and design criterion 22 (Table4), which
refer to the SAMR model (Puentedura2006) as supporting tool for PSTs to
build an understanding for and to plan digitally transformed lessons.
We added design conjecture L (Table2) and design criteria 23, 24, 25 and 26 (Table4). They
relate to scaffolding activities to support the PSTs when working with Arduino.
We added design conjecture M (Table2) and design criterion 27 (Table4) related to the use
of teaching vignettes to create opportunities for PSTs to adopt teacher perspectives.
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12 of 18 European Journal of Education, 2025
The implementation of the course design showed that PSTs
without prior programming knowledge need support es-
pecially in inquiry- based learning (Blanchard et al. 2010)
and digital data acquisition with Arduino (Bernsteiner,
Schubatzky, Haagen- Schützenhöfer, etal.2024; Bernsteiner,
Schubatzky, Spitzer, etal.2024). In the context of our course,
peer tutoring, the developed digital learning arrangement,
provided program codes and step- by- step instructions were
effective scaffolds. Lecturers gradually reduced scaffolding
and encouraged independent work. Reflection journals and
lecturer observations indicated that reducing scaffolds grad-
ually was beneficial for the learning processes of the PSTs
(Bernsteiner2023).
Global project finding VII: In order to prepare PSTs
to implement inquiry- based learning scenarios with
Arduino, it is important to be able to consider inquiry-
based lear ning from dif ferent perspectives, namely from
that of learners, teachers and from a meta- perspective.
TABL E | Sa mple, research foci, res ults and refinement of the cours e design: Design c ycle 3 (Bernsteiner2023; Schubatzky etal.2023; Bernsteiner,
Schubatzky, Spitzer, etal.2024).
Design cycle 3
Sample Ntota l = 13
Nmale = 7; Nfemale = 6; Nbachelor = 13; Nmaster = 0
Research foci Investigation of the influence of PSTs' interaction with the course design on their:
a. self- assessment of digital competences (RQ1)
b. self- efficacy expectation (RQ3)
c. expected utility value of using digital media (RQ4)
d. understanding of digitally transformed teaching (RQ2)
e. dealing with disinformation (RQ1)
Main results Self- assessment of digital competences and self- efficacy expectation
• Most PSTs rate their TK slightly higher after working with Arduino supported by scaffolds and teaching
vignettes, showing improvement from design cycle 2
• Peer tutoring and the digital learning. arrangement are perceived as helpful for working with Arduino.
• About half of the PSTs rate their TPK the same or slightly lower after working with Arduino, but their
self- assessments remain high, representing an improvement from design cycle 2.
• Most PSTs feel that teaching vignettes help them understand the teachers' perspective and students'
learning processes.
• PSTs express higher self- efficacy for implementing digital data acquisition after working with Arduino
and lecturers interpret these statements more realistic compared to design cycle 2.
Dealing with disinformation
• After completing active inoculation and debunking learning arrangements, most PSTs have higher self-
efficacy in recognising and debunking COVID- 19 disinformation.
• Debunking competence improves for most PSTs after active inoculation and debunking, though
debunking quality remains unchanged.
• Most PSTs see high relevance in preparing students to critically handle (dis)information.
Understanding of digitally transformed teaching
• Lesson plans reveal difficulties of PSTs in distinguishing between the SAMR model's (Puentedura2006)
four levels, leading to the useful condensation of SAMR into two levels: enhancement (substitution &
augmentation) and transformation (modification & redefinition).
• With the condensed SAMR model, PSTs are able to plan digital media use for improvement and
transformation.
• Without the SAMR model as a scaffold, about half of the PSTs describe digitally transformed lessons that
resemble digitised analogue processes rather than expanded possibilities through digital media.
Expected utility value of using digital media
• PSTs attribute greater utility value to digital media after the second part of the course on active
inoculation and debunking.
• Most PSTs see benefits of digital media in lesson management but less so in teaching- learning processes,
with many noting negative aspects.
Implications for
refinement of the
course design
We strengthened design criterion 22 (Table4) so that the SAMR model
is used in a two- level rather than a four- level form.
We added design conjecture N (Table2) related to the addressing of PSTs' attitudes.
We added design conjecture O (Table2) and design criterion 28 (Table4). Although these
were pursued in the previous design cycles, they have not yet been made explicit.
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13 of 18
In our project, the three- step approach from Rosa (2013)
was helpful in preparing PSTs for implementing inquiry-
based learning (level 1 according to Blanchard et al. 2010)
with Arduino: PSTs experienced inquiry- based learning with
Arduino as learners, explored its didactic features and reflected
on its implementation in the classroom using teaching vignettes
(Bern steiner 2023). Reflection journals and survey results re-
vealed that taking only the learner's perspective was insufficient
to build confidence for classroom implementation (Bernsteiner,
Schubatzky, Haagen- Schützenhöfer, et al. 2024; Bernsteiner,
Schubatzky, Spitzer, etal.2024).
6.1.4 | Area B: Grasping the Nature of Digitally
Transformed Teaching
Global project finding VIII: The two- tiered SAMR
model can serve as a scaffold to help PSTs plan the
use of digital media for digital transformation in
teaching.
In our project, we observed that while many PSTs had ideas for
using digital media to enhance learning processes (Substitution
and Augmentation according to Puentedura 2006), few had
practical ideas for using digital media to transform teaching
and learning processes (Modification and Redefinition accord-
ing to Puentedura2006). Furthermore, the lesson plans created
by PSTs showed that most of them could not clearly distinguish
between the four levels of the SAMR model (Puentedura2006).
Therefore, we condensed the SAMR model into two levels:
Level 1 (enhancement) includes substitution and augmentation,
and level 2 (transformation) includes modification and redefi-
nition. With this two- level model, most PSTs were able to plan
the use of digital media for both enhancement and transforma-
tion situations. However, without support of the SAMR model,
most PSTs' descriptions of digitally transformed teaching were
more aligned with enhancement than with transformation
(Bernsteiner2023).
6.1.5 | Area C: Self- Efficacy Expectations of PSTs
Global project finding IX: Working with teaching
vignettes can contribute to a reflected self- efficacy
expectation of PSTs.
Our main results indicate that integrating teaching vignettes
into the course design helped PSTs to adopt the perspective
of teachers. This facilitated their understanding of learning
processes and challenges faced by students using Arduino.
The main results suggest that this approach led PSTs to re-
flect on their self- efficacy expectations at two levels: im-
plementing digital data acquisition with Arduino and TPK
(Bernsteiner2023).
Global project finding X: Implementing an active
inoculation and debunking approach can lead to
an increase in PSTs' self- efficacy expectations for
identifying and debunking disinformation.
As part of our course design, we implemented active inoculation
(Lewandowsky, Ecker, and Cook2017) and logic- based debunk-
ing (Cook, Lewandowsky, and Ecker2017) at two occasions with
PSTs, adapting the methods tested by Schubatzky and Haagen-
Schützenhöfer (2022) in the context of climate change to the
context of COVID- 19. Our results not only support the findings
of Schubatzky and Haagen- Schützenhöfer (2022) but also extend
them by targeting a broader group and different content. The im-
plemented approach has a positive impact on PSTs' self- efficacy
expectations in identifying and debunking disinformation, as well
as on their debunking skills (Bernsteiner, Schubatzky, etal.2023).
6.1.6 | Area D: Expected Utility Value of Digital Media
Global project finding XI: PSTs perceive benefits
of digital media primarily at the level of classroom
management rather than at the level of teaching-
learning processes.
As part of our preliminary surveys (Bernsteiner, Haagen-
Schützenhöfer etal.2023), PSTs' attitudes and motivational ori-
entations towards using digital media were investigated through
self- assessment (Vogelsang etal.2019). The results show a pos-
itive attitude and high motivational orientation towards dig-
ital media (Bernsteiner, Haagen- Schützenhöfer et al. 2023).
During the formative evaluations of design cycles 2 and 3, we
asked PSTs about the expected utility value of digital media (van
Braak, Tondeur, and Valcke2004). Most of them attributed sig-
nificant utility value to digital media for classroom management
but expressed concerns about its benefits for teaching- learning
processes, often citing potential disadvantages (Bernsteiner,
Schubatzky, Spitzer, etal.2024).
7 | Discussion: Global Project Findings Contribute
to Context- Specific Theories
From our DBR project, we do not derive any generalisations
from the samples of the three design cycles for the total popu-
lation of PSTs in terms of a ‘sample- to- population extrapolation’
(Firestone 1993). However, by analysing the interaction of the
PSTs with the developed course design, we were able to gain
insights into teaching- learning processes and analyse whether,
how and why the course design has a certain impact in the pres-
ent context. With these findings, we can derive analytic gener-
alisations (Firestone1993), which are common generalisations
from DBR projects (Haagen- Schützenhöfer, Obczovsky, and
Kislinger2024): We contribute to broadening and deepening the
literature base regarding PSTs' learning with and about digital
media, by providing empirical evidence of aspects that can pro-
mote PSTs' learning with and about digital media and aspects
that can hinder PSTs' learning with and about digital media. In
the following, we discuss these contributions and draw implica-
tions for higher education in general and for teacher education
in the digital age in particular.
Global project finding I aligns with D. Braun and Huwer(2023),
who report that, for example, digital data acquisition is included
in German physics teacher education curricula, but essential
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14 of 18 European Journal of Education, 2025
background knowledge, such as algorithmic work, is hardly
addressed. To enable PSTs to acquire such background knowl-
edge about digital media, learning opportunities for learning
about digital media are needed alongside learning opportuni-
ties for learning with digital media (Brinda etal.2019; Thyssen
et al. 2023). Our developed course design provides a possible
framework for this.
Global project finding II is consistent with the findings of
Ambros, Dolezal, and Motschnig (2022), Boonmoh and
Kulavichian (2023), Janschitz, Monitzer, and Penker (2021),
Kopp, Gröblinger, and Adams(2019) and Kennedy etal.(2008).
Although PSTs frequently use digital applications and tools such
as smartphones and tablets in their everyday lives, they may not
have mastered basic digital skills such as using spreadsheets.
From this, we conclude that the design of learning arrange-
ments for (teacher) students needs to take into account that there
is no general solid base of digital competences on which to build.
This project provides design knowledge (Tables2–4) on how this
can be achieved.
Global project finding III, showing that the flipped- classroom-
setting supported the preparation of diverse learners for collab-
orative digital data acquisition using Arduino, is in line with
the findings of Altemueller and Lindquist (2017), Oppl (2018)
and Bitzenbauer and Hennig (2023). We recommend the im-
plementation of f lipped- classroom- settings in higher (teacher)
education for courses involving practical work with digital
media, especially when (teacher) students have different prior
knowledge and skills. With the course design we have developed
and, in particular, with the digital learning arrangement for the
self- learning phase of the flipped- classroom- setting, we show
evidence- based ways in which this can be realised.
Global project findings IV, V and IX, coupled with other
empirical findings (Backfisch et al. 2021; Kindermann and
Pohlmann- Rother2022; Lorenz, Heldt, and Eickelmann2022;
Pf itzner- Eden 2016; von Kotzebue 2023) lead to the follow-
ing three conclusions: First, given TK's indirect influence on
TPACK (Mishra and Koehler 2006; von Kotzebue2023) and
TPACK's role in predicting digital media use in classrooms
(Lorenz, Heldt, and Eickelmann 2022), it is essential to pro-
vide PSTs with targeted support and needs- oriented scaffolds
(see global project finding VI) to prevent overwhelming or
overly cautious self- assessments of TK. The scaffolds we have
implemented in the course design we have developed demon-
strate helpful possibilities for PSTs' learning in this respect.
Second, inquiry- based learning with Arduino can be support-
ive in improving PSTs' self- assessed digital competences. We
were able to derive possible prerequisites for success for the
implementation of inquiry- based learning with Arduino from
the analysis of the interaction of PSTs with the first part of the
course design. Third, since self- efficacy and TPK self- efficacy
expectations influence the motivation to use digital media and
its frequency (Backfisch etal.2021; Vogelsang etal.2019), we
recommend providing PSTs with sufficient opportunities to
reflect on their self- efficacy expectations regarding digital
media. Authentic teaching situations, such as teaching vi-
gnettes we have developed based on evidence, are particularly
helpful for this purpose.
Global project finding VI aligns with the findings of DesPortes
and DiSalvo (2019): students without programming knowledge
struggle with Arduino. Additionally, they are aligning with
Hmelo- Silver, Duncan, and Chinn (2007) and Arnold, Kremer,
and Mayer (2017), who show that scaffolding can support
inquiry- based learning. As the gradual reduction of scaffolding
in our case was very rewarding for PSTs' learning, and as it is
also suggested by Arnold, Kremer, and Mayer(2017), we pro-
pose, in order to prepare (teacher) students to work with new
digital tools, implementing a support framework that is gradu-
ally dismantled in order to transfer the learning responsibility to
the (teacher) students.
With global project finding VII, we support Rubach and
Lazarides(2021), who emphasise the need for multi- perspective
learning arrangements regarding digital media in teacher edu-
cation. Our findings extend their conclusions to the context of
inquiry- ba sed learning with Arduino. In our project, we show how
inquiry- based learning can be effectively implemented in teacher
education from a learners', teachers' and meta- perspective.
Global project finding VIII builds on a body of existing research
regarding S AMR model (Blundell, Mukherjee, and Nyk vist2022;
Boonmoh and Kulavichian 2023; Stinken- Rösner et al. 2023;
von Kotzebue 2022) and broadens it. In teacher education, it
is beneficial to provide the condensed two- level SAMR model
(Blundell, Mukherjee, and Nykvist 2022; Puentedura 2006) as
a scaffold for planning lessons that incorporate digital media.
Our project shows how this can be achieved, so that PSTs un-
derstand that digital media can not only enhance but also dig-
itally transform teaching and learning processes. In addition,
our findings are consistent with Obczovsky, Schubatzky, and
Haagen- Schützenhöfer (2023), who suggest that PSTs need
multiple opportunities to use a scaffold in order to internalise
the practice it supports—in our case, planning the use of digi-
tal media. We indicate that removing the scaffold of the SAMR
model too quickly is ineffective in preparing PSTs for planning
the implementation of digital media for both enhancement and
transformation.
Global project finding X follows Cook, Lewandowsky, and
Ecker (2017), Schubatzky and Haagen- Schützenhöfer (2022)
and Lewandowsky, Ecker, and Cook(2017). In (teacher) educa-
tion, active inoculation and debunking prove to be supportive
in building up resistance to (dis)information. With the second
part of the course we have developed, we show how this can be
achieved.
Global project finding X I, that PSTs tend to express negative atti-
tudes towards the use of digital media in the classroom, broaden
the findings of A. Braun, Weiß, and Kiel (2022) and Knüsel
Schäfer (2020). In addition, our findings support Backfisch
etal. (2021), who suggest that it is necessary to address PSTs'
beliefs regarding the use of digital media in the classroom.
8 | Limitations and Further Research
The comprehensive findings presented in this article are not
without limitations. First, the studies' sample consisted only of
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15 of 18
participants who chose a free elective course, which likely bi-
ased the sample towards those with a pre- existing interest in
digital media. As a result, self- assessed digital competences, self-
efficacy expectations and attitudes towards digital media may
not accurately represent all mathematics and science PSTs at
our institution. This self- selection bias, along with the small and
demographically limited sample—as evidenced, for example, by
the participation of only two chemistry PSTs—limits the gener-
alisability of our findings. We do not make sample- to- population
generalisations, but analytical generalisations (Firestone1993).
We conducted formative evaluations in a real course setting with
many uncontrolled variables. This choice was intended to address
real- world challenges, but it limits sample- to- population gener-
alisability. In addition, the formative nature of our evaluations,
without rigorous experimental controls, means that our global
project findings do not imply causality. Future research should
test specific course components in different settings, possibly
under (quasi- )experimental conditions, to provide broader and
deeper insights. For example, our research findings suggest that
teacher vignettes help PSTs to self- as sess their digital competences
and self- efficacy—a global project finding that we consider worth
investigating in more detail in (quasi- )experimental settings.
The use of self- assessment surveys for formative assessment
runs the risk of misrepresenting actual competences (von
Kotzebue 2022). Future research should include performance
testing. We attempted to mitigate this limitation through data tri-
angulation, using multiple sources, including qualitative insights
from reflection journals, to provide a nuanced understanding
(Flick2020).
Finally, our course setting intervenes for the limited period of
a semester, so the transfer of digital competences to authentic
teaching practice remains unknown. Future initiatives should
explore how teacher candidates integrate inquiry- based learn-
ing with digital media, lesson planning using the SAMR model
(Puentedura2006) and approaches to critical thinking and resil-
ience to disinformation into their teaching.
9 | Conclusion
In this article, we have presented learning- enhancing key as-
pects of a multi- faceted course design to prepare PSTs in mathe-
matics and science for teaching in the digital age. These include
promoting self- assessment of digital competences through
inquiry- based learning with Arduino, enhancing critically re-
flected self- efficacy expectations through work with teaching
vignettes and supporting the planning of digitally transformed
lessons using the SAMR model (Puentedura 2006) as a scaf-
fold. Additionally, we uncovered central difficulties that PSTs
face when interacting with the course design. These difficulties
include that being overwhelmed by digital media can lead to a
decrease in self- assessed TK, and that PSTs often lack basic dig-
ital skills. Our findings contribute to context- specific theories
of teaching and learning with and about digital media. In par-
ticular, our findings extend and support findings on scaffolding
in inquiry- based learning (Arnold, Kremer, and Mayer 2017),
the implementation of f lipped- classroom- settings (Altemueller
and Lindquist 2017; Bitzenbauer and Hennig 2023), the use
of the SAMR model (Blundell, Mukherjee, and Nykvist 2022;
Puentedura 2006; Stinken- Rösner et al.2023) and active inoc-
ulation and debunking (Cook, Lewandowsky, and Ecker2 017;
Lewandowsky, Ecker, and Cook2017; Schubatzky and Haagen-
Schützenhöfer 2022). Therefore, our comprehensive findings
on many facets of teaching and learning with and about digital
media broaden and strengthen the empirical basis for course de-
signs promoting digital competences among (teacher) students.
Conflicts of Interest
The authors declare no conflicts of interest.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated
or analysed during the current study.
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