Children’s Emotions in Design-Based Learning: A Systematic Review
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Design-based learning (DBL) is gaining increasing acceptance as a motivating and practical approach that can be used to prepare young people for the challenges of the twenty-first century. Emotions are known to influence a student’s academic performance in traditional learning, which raises the question as to what role emotions can play in DBL. This article presents a systematic survey of literature published in the last 20 years (searching from 1998 to 2019) and indexed in the Scopus, ERIC, and PsycINFO databases which contribute to our understanding of children’s emotions in DBL. This review coded a total of 34 papers that met the inclusion criteria. Findings that reported on children’s emotions are structured under three themes: (1) the affective DBL components, (2) the labeled emotions, and (3) the impact of emotions in DBL. Based on this evidence, we make recommendations for future research and compile a set of guidelines for designing DBL activities, taking into account students’ emotions that can aid their learning.
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DBL can also lead to frustration, boredom, and anger, in addition to positive emotions.
“This is also reflected in [39], in which the authors found that DBL can also lead to frustration, boredom, and anger, in addition to the more positive emotions of happiness and excitement.”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [39]
The Achievement Emotions section reports happiness and excitement alongside frustration and boredom in DBL studies. It mentions anger only as a survey item used to measure failure tolerance, not as an observed outcome of DBL. The Recommendations for Future Research section also cautions that evidence of specific negative-emotion incidents is minimal; the claim overstates the evidence for anger. (LLM, conf=0.83)
Experimental — accuracy not yet measuredDBL can contribute to self-regulated learning and improves self-efficacy among learners.
“Zhang, Markopoulos, and Bekker [39] conducted a systematic review and found that DBL can contribute to self-regulated learning and improves self-efficacy among learners.”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [39]
The Quasi-experimental Comparisons section reports that children in a DBL class had higher self-efficacy in science, and the Conclusion lists self-efficacy among the advantages found in the review. The passages do not establish that DBL contributes to self-regulated learning; a reference title mentions that topic, but does not report it as a DBL finding. Page numbers were not available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredDBL has a motivating effect, generates interest, and can arouse curiosity about professional topics.
“Furthermore, DBL has a motivating effect, generates interest, and can arouse curiosity about professional topics.”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [39]
DBL appears to have a particularly positive effect on motivational and affective factors during learning.
“In addition to learning, DBL appears to have a particularly positive effect on motivational and affective factors during learning [38,39].”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [39]
Previous research on the motivational effect of DBL for STEM-learning supports this.
“This is line with previous research on the motivational effect of DBL for STEM-learning [7,39,40].”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [39]
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Cites
What are emotions? And how can they be measured?
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“…DBL approaches, building on earlier definitions of DBL (e.g., Davis et al. 1997; Kolodner et al. 2001; Doppelt et al. 2008; Mehalik et al. 2008; Doppelt 2009; Gerber et al. 2012; Kim et al. 2015; Chen and Chiu 2016) and related frameworks of DBL (e.g., Puente et al. 2013; Bekker et al. 2015).”
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- Authors
- Zhang, F., Markopoulos, P., & Bekker, T.
- Affiliations
- Eindhoven University of Technology (NL)
- Corresponding author
- Zhang, Feiran
- Markopoulos, Panos
- Bekker, Tilde
- Venue
- Journal of Science Education and Technology
- Published
- 2020-05-06
- Volume
- 29
- Issue
- 4
- Pages
- 459-481
- ISSN
- 1059-0145 (ISSN-L)
- 1573-1839
- OpenAlex
- W3020988228
- Cited by
- 68
- References
- 6
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 12 · 2023: 16 · 2022: 10 · 2021: 6 · 2020: 4
- FWCI
- 2.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Science Education and Technology (publishedVersion, cc-by)
- TU/e Research Portal (publishedVersion, cc-by)
- TU/e Research Portal (submittedVersion)
- TU/e Research Portal (submittedVersion, cc-by)
- Funders
- China Scholarship Council
- Topics
- Social Sciences › Education › Problem and Project Based Learning
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- design-based learning, children's emotions, affective learning, student motivation, academic performance
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