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Tinne De Laet

Tinne De Laet
KU Leuven | ku leuven · Leuven Engineering and Science Education Center

Prof. Dr. Ir.

About

145
Publications
28,034
Reads
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1,699
Citations
Introduction
Tinne De Laet currently works at the Faculty of Engineering Science of KU Leuven and chairs the Leuven Engineering and Science Education Center of the same university. Tinne does research in Engineering Education, Multiple-Choice assessment, and Learning Analytics.
Additional affiliations
October 2013 - present
KU Leuven
Position
  • Tenure track professor, Head of Tutorial Services Engineering Science
June 2010 - September 2013
KU Leuven
Position
  • PostDoc Position
September 2005 - May 2010
KU Leuven
Position
  • PhD

Publications

Publications (145)
Chapter
This paper presents exploratory research regarding the design and evaluation of a dashboard supporting the advising of aspiring university students incorporating a black-box predictive model for student success. While black-box predictive models can provide accurate predictions, incorporating them in dashboards is challenging as the black-box natur...
Book
This book constitutes the proceedings of the 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, held in Bolzano, Italy, in September 2021. The 21 research full papers and 28 short papers presented in this volume were carefully reviewed and selected from 98 submissions. The European Conference on Technology-Enhance Learning, is c...
Chapter
Learning Analytics (LA) dashboards aggregate indicators about student performance and demographics to support academic advising. The majority of existing dashboards are targeted at advisors and professors, but not much attention has been put into students’ need for information for their own academic decision-making. In this study, we identify relev...
Chapter
Full-text available
Learning analytics (LA) can provide useful information for addressing the educational needs in Latin American universities, such as reducing program quality disparities and student dropout rates. Some researchers have suggested to build capacity in this region for institutional adoption of LA tools. Yet, there is still a long way to move from exper...
Article
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under‐explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three cases,...
Article
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption...
Article
Many Latin‐American institutions recognise the potential of learning analytics (LA). However, the number of actual LA implementations at scale remains limited, notwithstanding considerable effort made to formulate guidelines and frameworks to support the LA policy development. Guidance on how to coordinate the interaction between the LA policymakin...
Conference Paper
Learning analytics dashboards are at the core of the LAK vision to involve the human into the decision-making process. The key focus of these dashboards is to support better human sense-making and decision-making by visualising data about learners to a variety of stakeholders. Early research on learning analytics dashboards focused on the use of vi...
Poster
Full-text available
Learning Analytics (LA) enables leaders to improve teaching, learning, organizational efficiency, and decision making. Nonetheless, LA initiatives often have difficulty to move out of prototype into real educational practice. As an emerging multidisciplinary field, we wonder how much its challenges are similar to other more mature related fields. T...
Article
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey ta...
Article
Full-text available
To start medical or dentistry studies in Flanders, prospective students need to pass a central admission test. A blended program with four Small Private Online Courses (SPOCs) was designed to support those students. The logs from the platform provide an opportunity to delve into the learners’ interactions and to develop predictive models to forecas...
Article
Full-text available
In learning by demonstration, the generalization of motion trajectories far away from the set of demonstrations is often limited by the dependency of the learned models on arbitrary coordinate references. Trajectory shape descriptors have the potential to remove these dependencies by representing demonstrated trajectories in a coordinate-free way....
Article
Full-text available
When students enter higher education, they can encounter the feeling of unpreparedness. In fact, students who lack the appropriate prior education are less prepared. Therefore developing and implementing appropriate interventions for incoming students is important. This study examined the effectiveness of two new interventions at the Faculty of Eng...
Article
A plethora of studies have shown that procrastination is associated with deleterious consequences. Recently, some authors argued that for some students, purposefully delaying tasks might be a beneficial strategy that is positively related with desired outcomes. To measure purposeful delay, the Active Procrastination Scale (APS), developed by Choi a...
Article
Single‐best answers to multiple‐choice items are commonly dichotomized into correct and incorrect responses, and modeled using either a dichotomous item response theory (IRT) model or a polytomous one if differences among all response options are to be retained. The current study presents an alternative IRT‐based modeling approach to multiple‐choic...
Article
From the perspective of Learning and Educational Technologies, academic advising has been one of the most overlooked aspects of academic support systems, despite being critical for the learning process and final success of students. The majority of higher education institutions provides simple technical support to academic advisers with basic descr...
Conference Paper
Full-text available
By applying learning analytics on indicators that are predictive for a successful transition and online course completion, students can be provided with feedback on in order to improve their self-regulation, hereby providing support during the first-year and in online courses.
Article
Full-text available
Background and hypotheses This study is the first to offer an in-depth comparison of elimination testing with the scoring rule of Arnold & Arnold (hereafter referred to as elimination testing with adapted scoring) and negative marking. As such, this study is motivated by the search for an alternative for negative marking that still discourages gues...
Data
Survey responses for questions regarding negative marking (NM). (PDF)
Data
Survey responses for questions comparing negative marking (NM) and elimination testing with adapting scoring (ETA). (PDF)
Data
Percentage of students that show different answering patterns on at least one multiple choice question. The answering patterns are defined in Table 3. Doubt is an aggregation of doubt two, doubt three, and doubt four. NM = negative marking, ETA = elimination testing with adapted scoring, T1 = exam moment 1, T2 = exam moment 2 (PDF)
Data
Answering patterns: average number of questions per student in a multiple choice question. Average number of multiple choice questions per student and standard deviation (between brackets) showing different answering patterns. Pediatrics exams have 40 questions and Gynaecology exams have 80 questions. The answering patterns are defined in Table 3....
Data
Preference questionnaire response analyses. (PDF)
Data
Relation between GPA and exam score. The graph shows the strong and approximately linear relation between GPA (%) and exam score. (PDF)
Data
Survey responses for questions regarding elimination testing with adapted scoring. (PDF)
Data
Average number of questions in a particular knowledge level per student in a multiple choice exam. The knowledge levels are defined in Table 3. Partial knowledge (PK) is an aggregation of partial knowledge 1 (PK1), partial knowledge 2 (PK2), and partial knowledge 3 (PK3). PMI is an aggregation of partial misconcept 2 (PM2), partial misconcept 3 (PM...
Data
Survey statements. ETA abbreviates elimination testing with adapted scoring. (PDF)
Data
Percentage of students that show the different knowledge levels on at least one question in a multiple choice exam. The knowledge levels are defined in Table 3. NM abbreviates negative marking. ETA abbreviates elimination testing with negative marking. (PDF)
Conference Paper
Full-text available
First-year student success in Engineering Bachelor programs is well-studied. Both traditional statistical modelling and machine learning approaches have been used to study what makes students successful. While statistical modelling helps to obtain population-wide patterns, they often fail to create accurate predictions for individual students. Pred...
Conference Paper
The demand for engineering graduates is so high that employers struggle to fill the vacancies [1], [2]. The number of engineering students is increasing and due to a more flexible higher education system even more students can gain access to an engineering program. Although it can be applauded that more students can enter higher education, the ques...
Conference Paper
Full-text available
Learning Analytics has been widely developed in European countries. Latin America is also starting to measure and optimize teaching and learning processes through Learning Analytics. However, the existing attempts in this direction are very isolated. Further efforts are needed in order to promote greater sharing of best practices between regions. A...
Conference Paper
Full-text available
This papers focuses on the use of learning dashboards in higher education to foster self-regulated learning and open education. Students in higher education have to evolve to independent and lifelong learners. Actionable feedback during learning that evokes critical self-reflection, helps to set learning goals, and strengthens self-regulation will...
Chapter
Administering multiple-choice questions with correction for guessing fails to take into account partial knowledge and may introduce a bias as examinees may differ in risk-taking to guess the correct answer when not having full knowledge. In the latter case, elimination scoring gives examinees the opportunity to express their partial knowledge as th...
Conference Paper
Full-text available
Our work focuses on a multi-institutional implementation and evaluation of a Learning Analytics Dashboards (LAD) at scale, providing feedback to N=337 aspiring STEM (science, technology, engineering and mathematics) students participating in a region-wide positioning test before entering the study program. Study advisors were closely involved in th...
Conference Paper
Full-text available
This paper presents an evaluation of a learning dashboard that supports the dialogue between a student and a study advisor. The dashboard was designed, developed, and evaluated in collaboration with study advisers. To ensure scalability to other contexts, the dashboard uses data that is commonly available at any higher education institute. It visua...
Conference Paper
Full-text available
This article introduces the goal and activities of the LAK 2018 half-day workshop on the involvement of stakeholders for achieving learning analytics at scale. The goal of the half-day workshop is to gather different stakeholders to discuss at-scale learning analytics interventions. In particular the workshop focuses on learning analytics applicati...
Article
Full-text available
Although the number of engineering students is increasing, dropout rates remain high. This problem is also present in the Faculty of Engineering Technology (FET) at KU Leuven, Belgium, which resulted in the need for an in-depth analysis of the academic achievement of the bridging students there. This study examines the contribution of a range of pr...
Article
Full-text available
To stimulate a flexible lifelong learning system students can enter university via lateral entry. Unlike traditional first-year students, lateral entrance students are not well-studied. Therefore this study focuses on comparing first-year students with a specific group of lateral entrants, namely bridging students at the Faculty of Engineering Tech...
Article
Against the background of the increasing need for skilled scientists and engineers, the heterogeneous inflow of incoming students in science and engineering programs is particularly challenging in universities with an open-admission system. The prime objective of the present study is to determine the main academic and non-academic determinants of s...
Article
Full-text available
We study planning in relational Markov decision processes involving discrete and continuous states and actions, and an unknown number of objects. This combination of hybrid relational domains has so far not received a lot of attention. While both relational and hybrid approaches have been studied separately, planning in such domains is still challe...
Conference Paper
Full-text available
The readySTEMgo project is a collaboration between six European universities: KU Leuven (Finland). The prime objective of the project is to identify students with an increased drop-out risk before the start or throughout the course of the first-year in STEM (Science, Technology, Engineering, and Mathematics) study programmes. Before providing an ov...
Conference Paper
Full-text available
This paper explores the confidence freshman engineering students have in being successful in the first study year and which study-related behaviour they believe to be important to this end. Additionally, this paper studies which feedback these students would like to receive and compares it with the experiences of second-year students regarding feed...
Conference Paper
Learning Analytics Dashboards (LAD) provide a means to leverage data to support learners, teachers, and counselors. This paper reports on an in-depth analysis of how learners interact with a LAD. N=1,406 first-year students in 12 different study programs were invited to use a LAD to support them in their transition from secondary to higher educatio...
Article
Full-text available
Purpose The purpose of this paper is to draw attention to the potential of “small data” to complement research in learning analytics (LA) and to share some of the insights learned from this approach. Design/methodology/approach This study demonstrates an approach inspired by design science research, making a dashboard available to n =1,905 student...
Article
This paper presents LISSA ("Learning dashboard for Insights and Support during Study Advice"), a learning analytics dashboard designed, developed, and evaluated in collaboration with study advisers. The overall objective is to facilitate communication between study advisers and students by visualising grade data that is commonly available in any in...
Article
Full-text available
Background This study aimed to improve the automatic probabilistic classification of joint motion gait patterns in children with cerebral palsy by using the expert knowledge available via a recently developed Delphi-consensus study. To this end, this study applied both Naïve Bayes and Logistic Regression classification with varying degrees of usage...
Data
Classification results for hypothesis 1 (NB1 and LR1). (PDF)
Data
Classification results for hypothesis 2a (NB2a, LR2a, NB2b, LR2b). (PDF)
Data
Classification results for hypothesis 2b (NB3, LR3). (PDF)
Conference Paper
Full-text available
In the transition from secondary to higher education, students are expected to develop a set of learning skills. This paper reports on a dashboard implemented and designed to support this development, hereby bridging the gap between Learning Analytics research and the daily practice of supporting students. To demonstrate the scalability and usefuln...
Article
Full-text available
During a Delphi consensus study, a new joint gait classification system was developed for children with cerebral palsy (CP). This system, whose reliability and content validity have previously been established, identified 49 distinct joint patterns. The present study aims to provide a first insight toward the construct validity and clinical relevan...
Article
Aim: This study aimed to quantify the inter- and intrarater clinician agreement on joint motion patterns in children with spastic cerebral palsy (CP), which were recently specified by a Delphi consensus study. It also examined whether experience with three-dimensional gait analysis (3DGA) is a prerequisite for using the patterns. Method: The exp...
Article
Full-text available
Experts recently identified 49 joint motion patterns in children with cerebral palsy during a Delphi consensus study. Pattern definitions were therefore the result of subjective expert opinion. The present study aims to provide objective, quantitative data supporting the identification of these consensus-based patterns. To do so, statistical parame...
Data
Final overview of joint patterns and their criteria after last Delphi survey. (PDF)
Conference Paper
Full-text available
The economic and financial crisis is having an important socio-economic effect in Europe and is threatening Europe’s economic growth model and employment and the sustainability of Europe’s welfare model. To counter the crisis, Europe should further evolve to a knowledge- driven and technology-based economy. This evolution however causes a rise in t...
Conference Paper
Learning Analytics (LA) dashboards help raise student and teacher awareness regarding learner activities. In blog-supported and inquiry-based learning courses, LA data is not limited to student activities, but also contains an abundance of digital learner artefacts, such as blog posts, hypotheses, and mind-maps. Exploring peer activities and artefa...
Conference Paper
Multiple-choice questions (MPQ) are considered an objective way for testing large groups, and allow for fast feedback. A drawback of MPQ is that students can gain marks by guessing, and that depending on the marking method personality traits such as risk aversion might influence the total score. A variety of marking methods for MPQ are available [1...
Conference Paper
Entering a STEM study programme at university can be an overwhelming experience. Therefore several studies aimed at composing/implementing tests that focus on possible study success predictors. These tests can be a tool to select or help first-year students to position themselves before or at the beginning of the academic year. An optimized, non-bi...
Conference Paper
Large interactive displays and surfaces are useful modalities for visualizing big multi-dimensional data sets. They can offer simultaneous views on different facets of the data which lead to an efficient and effective environment for data exploration and analysis. While every data analyst and enthusiast can benefit from these advantages, large inte...