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Komalasari et al. | JPBI (Jurnal Pendidikan Biologi Indonesia), Vol. 10 Issue 2, 2024, 555-562
RESEARCH ARTICLE
Creativity in biology: The impact of Problem-
Oriented Project Based Learning on high
school students
Ria Novita Ayu Komalasari
a,1,
*, I. Ibrohim
a,2
, Dwi Listyorini
a,3
a
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang,
Jl. Semarang 5, Malang, East Java 65145, Indonesia
1
riakomalasari88@guru.sma.belajar.id *;
2
ibrohim.fmipa@um.ac.id;
3
listyorini.aljabari@um.ac.id
Abstract:
Creativity in biology education is a crucial aspect that enhances students’ understanding of
the subject. It consists of several indicators (fluency, flexibility, originality, and elaboration), which can
also be used as measuring tools for creativity. This study aimed to determine the influence of the
Problem-Oriented Project-Based Learning (POPBL) model in fostering creativity among high school
students. The experiment was conducted in April until June 2023. The participants of this study consisted
of 10th-grade students from State High School 1 Grogol. The cluster random sampling technique
selected X6 as the control and X7 as the experimental classes. This was a quasi-experiment with a
Pretest-Posttest Control Group Design, in which two groups were chosen randomly where the classes
had previously been tested for equality first. The analysis employed was an analysis of the covariance
test. The statistical analysis revealed that students’ creativity in the experimental group was significantly
higher than in the control group. Based on this study, we conclude that the POPBL model significantly
improved student creativity. We suggest that with higher creativity, students will be able to solve the
problems they face in life better.
Keywords: Creativity; POPBL; problem-oriented project-based learning model
Introduction
Quality education is a system in which all students receive learning experiences that enable them to
develop a creative and innovative character, along with the necessary competencies (Fomba et al.,
2023). Creativity is a mental process carried out by individuals in the form of ideas new products, or a
combination of the two, which will ultimately stay with them (Sternberg & Karami, 2022). Developing
students' creativity is necessary for addressing learning problems by utilizing imagination, intelligence,
insight, and ideas, which are then combined into a new concept (Acar et al., 2017; Mevarech & Paz-
Baruch, 2022; Sternberg & Lebuda, 2019). Based on the results of the Global Creativity Index (GCI)
research conducted by the Martin Prosperity Institute, which assesses a country's creativity index based
on three indicators - namely technology, talent, and tolerance in 2015 - it is known that Indonesia is
ranked 115th out of 139 countries. Low creativity in high school students is evidenced by a passive
attitude and a lack of development of creative ideas when responding to teacher questions (McInerney,
2023) Another study revealed that the creativity of high school students was still relatively low (Setiawan
et al., 2017). This was identified based on the results of a questionnaire where only around 40% of
students exhibited creative traits. Fostering creativity in science education is important because it not
only enhances students' understanding of scientific concepts but also equips them with the skills and
mindset needed to navigate an ever-changing world and contribute meaningfully to scientific progress
and societal advancement (Haigh, 2020; Soomro et al., 2023; Vincent-Lancrin, 2021) .
Based on the results of a preliminary study conducted in February 2023 through interviews and
documentation studies with the head of the curriculum at SMAN 1 Grogol, it is known that the creativity
of students on the Education report card at SMAN 1 Grogol for 2021/2022 is still lacking, with a score of
*For correspondence:
riakomalasari88@guru.sma.bela
jar.id
Article history:
Received: 27 February 2024
Revised: 2 May 2024
Accepted: 6 May 2024
Published: 24 July 2024
10.22219/jpbi.v10i2.32497
©
Copyright Komalasari et al.
This article is distributed
under the terms of the
Creative Commons Attribution
License
p-ISSN: 2442-3750
e-ISSN: 2537-6204
Komalasari, R. N. A.,
Ibrohim, I., & Listyorini, D.
(2024).
Creativity in biology:
The impact of Problem-
Oriented Project Based
Learning on high school
students
. JPBI (Jurnal
Pendidikan Biologi Indonesia),
10(2), 555-562.
https://doi.org/10.22219/jpbi.v10
i2.32462
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Komalasari et al. | JPBI (Jurnal Pendidikan Biologi Indonesia), Vol. 10 Issue 2, 2024, 555-562
2 (in the developing category). This score is below average when compared with the education unit value
of 2.23, the district/city average value of 2.31, the provincial average value of 2.3, and the national
average value of 2.25. Based on this data, it can be concluded that student creativity is still below the
district/city and national averages. Innovation and solutions are needed to increase student creativity
because enhancing student creativity will impact student learning outcomes (Adawiyah et al., 2023).
Increasing students' creativity is very important because it equips them with the ability to find solutions
to various problems they encounter in the real world. This skill is essential as students grow up and face
life's challenges. In a world that continues to change rapidly, the ability to adapt and adjust to new
situations is crucial for the new generation. Creativity fosters flexibility and openness to change, thereby
better-preparing students to confront future challenges. To enhance student creativity, it is achieved
through a learning process that nurtures creativity, as exemplified in the Problem-Oriented Project-Based
Learning (POPBL) learning model. Problem-based learning and project-based learning are learning
models with a constructivist approach, reported to effectively foster students' creativity (Dai et al., 2023;
Guaman-Quintanilla et al., 2023). Rongbutsri (2017) integrates project-based learning activities into the
problem-based learning process, creating a collaborative learning model known as Problem-Oriented
Project-Based Learning (POPBL). The main principles of this approach are problem-oriented, project-
based, interdisciplinary, student-centered, and collaborative (Rongbutsri, 2017). The POPBL learning
model, developed by Rongbutsri (2017), comprises eight stages: group formation, problem formulation,
planning, data gathering, analysis, problem-solving, reporting, and preparation for the examination.
However, several weaknesses need to be considered when implementing these stages, particularly
regarding the time required (Mihić et al., 2017; Sumarni, 2013) .
Implementing the POPBL model demands ample time for planning, execution, and evaluation of student
projects, posing a challenge within a busy curriculum and tight time constraints. Thus, Ibrohim, along
with his research team, conducted a study to streamline the POPBL learning steps, making them more
applicable to the curriculum and aligned with the characteristics of Indonesian students. As a result, the
POPBL learning model was condensed into four stages: orientation and problem formulation, organizing
student learning, designing and implementing projects, and presenting results and evaluation. Previous
studies have demonstrated the effectiveness of the POPBL to critical thinking and collaboration skills
(Filmi et al., 2024; Suwistika et al., 2024). The POPBL model can be applied to various learning materials,
enabling students to explore real-world problems and find relevant solutions. Additionally, biology
learning is closely linked to problem-solving processes in the real world. Therefore, it is important to
foster creativity since students must derive solutions from the knowledge acquired through projects
conducted in real-life situations (Goto et al., 2023; de Alencar & de Oliveira, 2016; Strobel & van
Barneveld, 2009). Consequently, the study aims to ascertain the impact of the POPBL model on fostering
creativity among high school students.
Method
The type of research is quasi-experimental, consisting of two classes. The experimental class is taught
using the POPBL learning model, while the control class employs conventional learning methods,
including discussions and lectures. The design utilized is the Pretest-Posttest Control Group Design,
involving two randomly chosen groups, which were previously tested for equality. This research took
place at SMAN 1 Grogol during the 2022/2023 academic year, approximately from April to June 2023.
The population comprised all class X students at SMAN 1 Grogol, Kediri Regency. The Cluster Random
Sampling technique was used, involving the random selection of two classes with similar characteristics.
In the randomization process, class X6 was chosen as the control class, while class X7 was selected as
the experimental class. In experimental classes taught using the POPBL model, students are tasked with
finding solutions to problems provided by the teacher. The steps in the POPBL learning model include
1) Orientation and problem formulation, 2) Organizing student study, 3) Designing and implementing
projects, and 4) Presenting and evaluating project results. Meanwhile, in the control class, which is taught
using the lecture and discussion method, learning activities commence with an explanation of concepts
and materials by the teacher. Subsequently, the teacher distributes worksheets to students, which are
not oriented towards contextual problems and do not necessitate students to find solutions, as the
worksheets contain questions related to concepts. Following this, students in groups discuss the
worksheet answers and then present them sequentially in front of the class. A classic question-and-
answer and discussion process follows, concluding with the teacher providing reinforcement related to
the topics covered and discussed.
The subject matter of this research pertains to ecosystems and environmental change. The instrument
employed in this research was an essay test comprising four questions to assess student creativity.
Additionally, this research utilizes POPBL learning tools, including a learning objectives flow and
teaching modules containing handouts, as well as the use of worksheets and creativity test instruments.
The POPBL learning tools developed were subsequently validated by learning experts, practitioners,
and material experts. Before being administered to the sample group, the research instrument underwent
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validity and reliability testing. The data collected from the pre-test and post-test questions, which
consisted of four essay questions related to student creativity. These data were then subjected to
normality and homogeneity tests as prerequisites before analysis using one-way ANCOVA. If the p-value
is <0.05, Ho is rejected, and the research hypothesis is accepted.
Results and Discussion
The research data measured on the creativity variable has met the prerequisite tests, allowing for the
continuation of hypothesis testing. The prerequisite tests include normality and homogeneity tests. The
normality test results were analyzed using a one-sample analysis Kolmogorov-Smirnov, which yielded
the value of Asymp sig. (2-tailed) = 0.069, indicating that the data is normally distributed since it is greater
than 0.05 for the initial test, and 0.056, which is also greater than 0.05, for the subsequent test. Similarly,
the homogeneity test using Levene's Test of Equality of Error Variances also yielded a p-value greater
than 0.05. Specifically, the pre-test value had a significance value of 0.504, and the post-test value had
a significance value of 0.688, as indicated in Table 1. Subsequently, a hypothesis test was conducted
using the ANCOVA test.
Table 1. Normality and homogeneity test results of creativity
Test
Pretest
Post Test
Sig.
Conclusion
Sig.
Conclusion
Normality
0.069
Normal
0.056
Normal
Homogeneity
0.504
Homogenous
0.688
Homogenous
The results of the covariance analysis indicate significant differences between the two classes in terms
of the impact of learning models on student creativity. The treatment significance value for the learning
model is p = 0.001, which is lower than the significance level α = 0.05, indicating that the research
hypothesis is accepted and H0 is rejected. The class that implemented the POPBL learning model
showed a corrected mean on the pre-test, 45.77, and a post-test mean of 65.07. Meanwhile, the class
that used the discussion and presentation method had a corrected average of 44.34 on the initial and
55.82 on the final tests (Figure 1). Therefore, it can be concluded that there is a significant difference in
student creativity between classes that apply the POPBL learning model and those that use the
discussion and presentation approach. The statistical results also demonstrate that the learning model
has a differential effect on student creativity in the two classes.
Figure 1. The influence of learning models on creativity
This testing is analyzed using the One-Way ANCOVA test with the assistance of SPSS version 26.
Based on the results of the covariance analysis test, it is known that the p-value of level 0.001< the value
of α = 0.05, then H0 is rejected. Thus, there are differences in creativity in the experimental class taught
with the POPBL model and the control class using the conventional model. The summary data from
Table 2 reveals that the class engaged in learning using the POPBL model achieved a corrected mean
creativity score of 64.629. This demonstrates a significant difference compared to the corrected mean
creativity score of the control class, which utilized the conventional learning model, reaching 56.293. The
corrected. The mean for the experimental class falls within the high category, ranging between 61% and
45,77
44,34
65,07
55,83
64,629
56,293
010 20 30 40 50 60 70
Eksperiment
Control
Corrected Mean Posttest Pretest
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80%, whereas the control class falls within the medium category, between 41% and 60%.
Table 2. Corrected Mean Effect of Learning Models on Creativity
Class
Pretest
Posttest
Difference
Corrected
Mean
Improvements
Experiment
45.77
65.07
19.3
64.629
42.17%
Control
44.34
55.82
11.48
56.293
25.89%
Based on the findings by other researches (Muhajir et al., 2019; Supratman et al., 2020; Suwistika et al.,
2024), it is known that POPBL can support students in applying their ideas or concepts to produce
something unique or with their own characteristics. POPBL can influence student creativity through the
steps undertaken by students during the learning process supported by existing learning theories. The
covariance test results indicate a difference in students' mean creativity scores in Biology learning
between the use of the POPBL model and conventional learning. Hero and Lindfors (2019) explain that
students' learning experiences in solving various problems during project-based learning activities can
develop various competencies, including student creativity. In solving these problems and projects,
students must integrate various information and knowledge to develop ideas or solutions to problems
(Furukawa, 2016). Creativity is a skill where students utilize imagination, knowledge, and ideas to face
a problem (Acar et al., 2017; Mevarech & Paz-Baruch, 2022; Sternberg & Lebuda, 2019)
The difference in creativity between the experimental and control classes is also due to differences in
the learning activities conducted. In the control class, learning activities begin with the teacher presenting
concepts and materials. Then, the teacher provides worksheets that are not oriented toward contextual
problems and do not require students to find solutions because the worksheets contain questions related
to concepts. Next, students discuss the worksheet answers in groups and present them in turns in front
of the class. Following this, a classic question-and-answer and discussion process occurs, and the
learning activity concludes with the teacher providing reinforcement related to the topics covered and
discussed. Creativity consists of several indicators that can also be used to measure creativity, namely
fluency, flexibility, elaboration, and originality. The Tabel 3 present the results of the average pre-test
and post-test scores for each indicator in the experimental and control classes.
Table 3. The average creativity score for each indicator
Fluency
Flexibility
Elaboration
Originality
Experiment Class
Pretest
48.53
45.59
46.32
42.65
Posttest
75.00
61.76
65.44
58.09
Control Class
Pretest
39.84
46.88
43.75
46.88
Posttest
56.25
57.81
51.56
49.22
Based on Table 3, it can be observed that the largest average increase in the pretest to the posttest
occurs in both the experimental and control classes, specifically in the fluency indicator. Meanwhile, the
smallest average increase in the pretest to the posttest is observed in both the experimental and control
classes, particularly in the originality indicator. For further details, refer to Figure 2.
Figure 2. The differences average for each indicator
48,53
75
39,84
56,25
45,59
61,76
46,88
57,81
46,32
65,44
43,75
51,56
42,65
58,09
46,88
49,22
010 20 30 40 50 60 70 80
Eksperiment Class - Pre Test
Eksperiment Class - Post Test
Control Class - Pre Test
Control Class - Post Test
Originality Elaboration Flexibility Fluency
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The differences in the average increase from pretest to post-test for each indicator are Influenced by the
stages of learning in each class, which can be identified based on observations during the learning
process. Observations during the learning process show that the learning model influences student
creativity in two different classes. Differences in environmental attitudes between the experimental class
using the POPBL model and the control class adopting the discussion and presentation approach are
observed in each learning phase. In the first phase, orientation and problem formulation, students are
presented with articles related to ecosystem and environmental issues in the Kediri area and its
surroundings. In this activity, students are asked to identify problems presented in the provided articles
in the Student Worksheet (LKPD). Subsequently, students are tasked with formulating several problems
within their groups. From several problem formulations, students will choose one problem they consider
important to find a solution for. This stage supports students in enhancing their creative abilities,
particularly in the fluency indicator, where students are expected to generate their ideas spontaneously.
Fluency as an indicator in the context of creativity refers to a person's ability to generate many ideas,
concepts, or solutions quickly. In assessing creativity, fluency is often measured by counting the number
of ideas or solutions generated within a specific time frame. Generating many ideas is important as it
can lead to discovering more creative or innovative solutions (Robson, 2014).
Based on observations, almost all groups were able to formulate many problems and generate ideas or
solution concepts related to the problems. However, some groups were able to identify problems but
struggled to convey ideas or solutions related to the problems. However, with the teacher's facilitation,
these groups eventually produced their ideas or concepts. This stage is also consistent with the cognitive
learning theory proposed by Jerome Bruner, where students can develop their understanding and
concepts through new experiences and the process of problem identification, as well as using learning
as a way to understand concepts and improve their problem-solving abilities (Nurhadi, 2020)
The second stage of the POPBL learning model is organizing students for learning. In this phase,
students will learn concepts related to the problem theme and then summarize the learning concepts
from various learning sources. Afterward, students write them freely in the form of concept maps or
points understood by students. This stage also aims to enhance the flexibility indicator in creativity since
students are required to connect the concepts learned with the problems previously formulated by
students, thus producing ideas relevant from various perspectives and developing them into a project
theme (Andersen & Heilesen, 2015; Robson, 2014). Based on classroom observations, flexibility
indicators in student creativity are seen when students create concept maps or mind maps and provide
decorations or different colors for each concept they write. This is related to the constructivist learning
theory developed by Piaget where students will build their knowledge after understanding concepts
through various learning sources (Olusegun, 2015; Zhang, 2022).
The third learning stage of the POPBL model is designing and implementing projects, which is also a
phase that empowers student creativity. Here, students design projects in groups and then present their
ideas and imaginations so that the projects they create can be solutions to problems accurately. Here,
the teacher acts as a facilitator who guides and provides directions, resources, and support needed to
facilitate student learning, ensuring that students can successfully complete their projects (Malinić et al.,
2021). This learning activity can enhance the originality indicator in student creativity because it can
improve the ability to create new or innovative ideas or concepts that have never existed before (Acar et
al., 2017). This learning activity also aligns with Vygotsky's sociocultural theory, where there is interaction
between individuals and their environment, especially in the context of learning and student cognitive
development (Pamungka et al., 2020). Based on observations, originality indicators appear when
students come up with new original ideas for their project activities, such as conducting real socialization
actions to residents around the Brantas River regarding illegal sand mining, conducting direct and social
media-based socialization about the importance of using sunscreen among teenagers for self-protection
against the effects of hot weather in the Kediri area, making eco-bricks from inorganic waste in the
surrounding environment, or carrying out real planting actions in villages that are always affected by
floods due to land conversion as an airport.
The last learning stage in the POPBL model is project presentation and evaluation. In this stage, students
present their project works through posters, videos, presentation slides, or tangible objects. This learning
activity certainly can enhance student creativity, especially in the elaboration indicator, where students
can present their ideas or concepts by providing detailed, explanatory, or more in-depth and detailed
arguments to their classmates. Afterward, an evaluation process related to student work is also
conducted for reflection and improvement of the work produced by students (Widarni, 2023). Based on
classroom observations, the elaboration indicator in student creativity is evident when students present
and exhibit their work, where students can provide good explanations when their classmates ask about
the products they have made, accompanied by reasons for choosing or making the product. In addition,
students are also able to evaluate the strengths or weaknesses of the work they have done. This stage
is in accordance with the principles of sociocultural learning theory proposed by Vygotsky, which
emphasizes that the environment and culture around students play a major role in influencing the
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interactions and cognitive development of students (Pamungka et al., 2020).
Increasing students’ creativity is crucial because it empowers them to find solutions to various real-life
problems. Students with high levels of creativity tend to excel in solving problems independently (Lu &
Kaiser, 2022). They are able to expand the scope of their thinking and find unique solutions that others
may not have thought of. In today's rapidly changing world, adapting and responding to new situations
is a crucial skill. Creativity fosters flexibility and openness to change, thus better-preparing students to
tackle future challenges (Fredagsvik, 2023). In the context of a competitive global environment, creativity
can be a determining factor in creating competitive advantage (Maksić & Jošić, 2021). Students who can
think creatively will have an advantage in competing in an increasingly complex job market.
Conclusion
Based on the results of the analysis and discussion that have been described, it can be inferred that the
utilization of the Problem-Oriented Project Based Learning (POPBL) approach proves efficacious in
enhancing creativity at SMAN 1 Grogol. The POPBL methodology fosters student creativity by providing
opportunities for students to engage in hands-on projects, collaborate with peers, and explore innovative
solutions to real-world problems.
Acknowledgment
Respectful appreciation be upon the head of the postgraduate Department of Biology Education
Universitas Negeri Malang (UM) and to the Ministry of Education and Culture through Indonesian
education scholarships for this study and research opportunity
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
Author Contributions
R. N. A. Komalasari: conducting the research, collecting data, writing the original article, revision; I.
Ibrohim: developed the methodology and supervising the research and D. Listyorini: supervising the
research and manuscript draft writing.
References
Acar, S., Burnett, C., & Cabra, J. F. (2017). Ingredients of creativity: Originality and more. Creativity
Research Journal, 29(2). https://doi.org/10.1080/10400419.2017.1302776
Adawiyah, R., Irawan, F., Zubaidah, S., & Arsih, F. (2023). The relationship between creative thinking
skills and learning motivation in improving student learning outcomes. AIP Conference
Proceedings, 020019. https://doi.org/10.1063/5.0112425
Andersen, A. S., & Heilesen, S. B. (2015). The problem-oriented project work (PPL) alternative in self-
directed higher education. https://doi.org/10.1108/s2055-364120150000003019
Dai, Z., Sun, C., Zhao, L., & Zhu, X. (2023). The effect of smart classrooms on project-based learning:
A Study Based on Video Interaction Analysis. Journal of Science Education and Technology,
32(6). https://doi.org/10.1007/s10956-023-10056-x
de Alencar, E. M. L. S, & de Oliveira, Z. M. F. (2016). Creativity in higher education according to
graduate programs’ professors. Universal Journal of Educational Research, 4(3).
https://doi.org/10.13189/ujer.2016.040312
Filmi, R. F., Ibrohim, I., & Prabaningtyas, S. (2024). The effect of the problem-oriented project-based
learning (POPBL) model on high school students’ collaboration skills on metabolic and cell
division materials. BIO-INOVED : Jurnal Biologi-Inovasi Pendidikan, 6(1), 98.
https://doi.org/10.20527/bino.v6i1.18148
Fomba, B. K., Talla, D. N. D. F., & Ningaye, P. (2023). Institutional quality and education quality in
developing countries: Effects and transmission channels. Journal of the Knowledge Economy,
14(1). https://doi.org/10.1007/s13132-021-00869-9
Fredagsvik, M. S. (2023). The challenge of supporting creativity in problem-solving projects in science:
a study of teachers’ conversational practices with students. Research in Science and
561
Komalasari et al. | JPBI (Jurnal Pendidikan Biologi Indonesia), Vol. 10 Issue 2, 2024, 555-562
Technological Education, 41(1). https://doi.org/10.1080/02635143.2021.1898359
Furukawa, C. (2016). Dynamics of a critical problem-solving project team and creativity in a multiple-
project environment. Team Performance Management, 22(1–2). https://doi.org/10.1108/TPM-04-
2015-0021
Goto, S., Makino, H., & Ando, T. (2023). Making the most out of the innovation of meaning: The
importance of inclusion for creativity in inside-out envisioning. Creativity and Innovation
Management, 32(2). https://doi.org/10.1111/caim.12546
Guaman-Quintanilla, S., Everaert, P., Chiluiza, K., & Valcke, M. (2023). Impact of design thinking in
higher education: a multi-actor perspective on problem solving and creativity. International
Journal of Technology and Design Education, 33(1). https://doi.org/10.1007/s10798-021-09724-z
Haigh, M. (2020). Fostering creativity through science education. In Encyclopedia of Creativity,
Invention, Innovation and Entrepreneurship. https://doi.org/10.1007/978-3-319-15347-6_365
Hero, L. M., & Lindfors, E. (2019). Students’ learning experience in a multidisciplinary innovation
project. Education and Training, 61(4). https://doi.org/10.1108/ET-06-2018-0138
Lu, X., & Kaiser, G. (2022). Creativity in students’ modelling competencies: conceptualisation and
measurement. Educational Studies in Mathematics, 109(2). https://doi.org/10.1007/s10649-021-
10055-y
Maksić, S., & Jošić, S. (2021). Scaffolding the development of creativity from the students’ perspective.
Thinking Skills and Creativity, 41. https://doi.org/10.1016/j.tsc.2021.100835
Malinić, D., Stanišić, J., & Đerić, I. (2021). The experience of teachers in realisation of project-based
learning based on interdisciplinary approach. Zbornik Instituta Za Pedagoska Istrazivanja, 53(1).
https://doi.org/10.2298/ZIPI2101067M
McInerney, D. (2023). Insights into product design students’ perception of, and engagement with,
creativity in design education. International Journal of Technology and Design Education, 33(3).
https://doi.org/10.1007/s10798-022-09766-x
Mevarech, Z. R., & Paz-Baruch, N. (2022). Meta-creativity: What is it and how does it relate to
creativity? Metacognition and Learning, 17(2). https://doi.org/10.1007/s11409-022-09290-2
Mihić, M., Mihicánd, M. M., & Završki, I. (2017). Professors’ and students’ perception of the advantages
and disadvantages of project based learning professors’ and students’ perception of the
advantages and disadvantages of project based learning. International Journal of Engineering
Education, 33(6). https://www.researchgate.net/publication/329754724
Muhajir, S. N., Utari, S., & Suwarma, I. R. (2019). How to develop test for measure critical and creative
thinking skills of the 21st century skills in POPBL? Journal of Physics: Conference Series,
1157(3). https://doi.org/10.1088/1742-6596/1157/3/032051
Nurhadi, N. (2020). Transformasi teori kognitivisme dalam belajar dan pembelajaran. Jurnal
Pendidikan dan Sains, 2(1). https://ejournal.stitpn.ac.id/index.php/bintang/article/view/540
Olusegun, S. (2015). Constructivism learning theory: A paradigm for teaching and learning. IOSR
Journal of Research & Method in Education Ver. I, 5(6). https://iosrjournals.org/iosr-
jrme/papers/Vol-5%20Issue-6/Version-1/I05616670.pdf
Pamungka, M. D., Santoso, E., Rochmad, R. & Isnarto, I. (2020). Pendekatan saintifik dalam perspektif
teori belajar Vygotsky. Jurnal Didactical Mathematics, 3(2).
https://jurnal.unma.ac.id/index.php/dm/article/view/2525
Robson, S. (2014). The analysing children’s creative thinking framework: development of an
observation-led approach to identifying and analysing young children’s creative thinking. British
Educational Research Journal, 40(1). https://doi.org/10.1002/berj.3033
Rongbutsri, N. (2017). Students using online collaborative tools in problem-oriented project-based
learning. In Ph.d.-serien for Det Humanistiske Fakultet, Aalborg Universitet.
https://vbn.aau.dk/en/publications/students-using-online-collaborative-tools-in-problem-oriented-
pro
Setiawan, M. A., Suharto, T., & Slamet, R. (2017). Pengaruh pembelajaran kimia dengan pendekatan
inkuri berbasis kegiatan laboratorium terhadap tingkat kreativitas siswa sma pada materi larutan
asam basa (quasi eksperimen di SMA Don Bosco II Jakarta). JRPK: Jurnal Riset Pendidikan
Kimia, 4(1). https://doi.org/10.21009/jrpk.041.08
Soomro, S. A., Casakin, H., Nanjappan, V., & Georgiev, G. V. (2023). Makerspaces fostering creativity:
a systematic literature review. Journal of Science Education and Technology, 32(4).
https://doi.org/10.1007/s10956-023-10041-4
Sternberg, R. J., & Karami, S. (2022). An 8P theoretical framework for understanding creativity and
theories of creativity. Journal of Creative Behavior, 56(1). https://doi.org/10.1002/jocb.516
Sternberg, R. J., & Lebuda, I. (2019). Creativity tempered by wisdom: Interview with Robert J.
Sternberg. Creativity, 6(2), 274–280. https://doi.org/10.1515/ctra-2019-0017
Strobel, J., & van Barneveld, A. (2009). When is PBL more effective? A meta-synthesis of meta-
analyses comparing PBL to conventional classrooms. Interdisciplinary Journal of Problem-Based
Learning, 3(1). https://doi.org/10.7771/1541-5015.1046
Sumarni, W. (2013). The strengths and weaknesses of the implementation of project based learning: A
562
Komalasari et al. | JPBI (Jurnal Pendidikan Biologi Indonesia), Vol. 10 Issue 2, 2024, 555-562
review. International Journal of Science and Research, 4(3).
https://www.ijsr.net/archive/v4i3/SUB152023.pdf
Supratman, S., Zubaidah, S., Corebima, A. D., & Ibrohim, I. (2020). Refining student’s creative thinking
through problem oriented project-based learning and student team achievement division. Journal
of Physics: Conference Series, 1521(4). https://doi.org/10.1088/1742-6596/1521/4/042022
Suwistika, R., Ibrohim, I., & Susanto, H. (2024). Improving critical thinking and creative thinking skills
through popbl learning in high school student. JPBI (Jurnal Pendidikan Biologi Indonesia), 10(1).
https://doi.org/10.22219/jpbi.v10i1.30172
Vincent-Lancrin, S. (2021). Fostering students’ creativity and critical thinking in science education. In
Education in the 21st Century. https://doi.org/10.1007/978-3-030-85300-6_3
Widarni, W. (2023). Analyzing students’ self-reflection on project-based learning and caption text.
Journal of English Education and Teaching (JEET), 7(1). https://doi.org/10.33369/jeet.7.1.78-96
Zhang, J. (2022). The influence of piaget in the field of learning science. Higher Education Studies,
12(3). https://doi.org/10.5539/hes.v12n3p162