Cognitive and Developmental Psychology in STEM Education

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "STEM Education".

Deadline for manuscript submissions: 9 September 2026 | Viewed by 2579

Special Issue Editor


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Guest Editor
School of Engineering Education, Purdue University, West Lafayette, IN 47907, USA
Interests: embodied cognition; metacognition; augmented reality; artificial intelligence; microelectronics

Special Issue Information

Dear Colleagues,

Education Sciences is pleased to announce a Special Issue on the applications of, or implications for, cognitive and/or developmental psychology to STEM education research. Researchers in STEM education have long held an interest in improving STEM education and expanding the pathways for students to study and obtain STEM degrees. Over the past two decades, this interest has driven the development and growth of discipline-based education research (DBER) in several STEM disciplines, such as engineering education, physics education, mathematics education, and more. While DBER began as a grassroots effort of faculty in the respective disciplines, recent calls for the use of evidence-based pedagogies have led to the emergence of research that uses methodologies from cognitive psychology to examine learning. At the same time, cognitive psychologists are increasingly grounding their research and theory in authentic educational contexts and addressing the complexity of research in STEM education. As a result, now is an apt time to examine the current approaches for applying cognitive psychology methods and theories to STEM education research as a way to motivate further discussion between researchers from different traditions and facilitate future research collaborations.

This Special Issue aims to showcase original empirical work where methods or theories from cognitive or developmental psychology are applied to STEM education research, or findings from STEM education research can inform methods or theories from cognitive or developmental psychology. Articles for this Special Issue should aim to emphasize methodological and theoretical advances, as well as results with tangible implications for policy and practice. Notably, this Special Issue will focus on science, engineering, and mathematics learning in classroom settings across primary, secondary and post-secondary levels.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Application of cognitive psychology theories to the study of STEM education;
  • Longitudinal or cross-sectional studies that apply developmental psychology theories to the study of STEM education;
  • Research that applies theories of embodied cognition theory, cognitive dissonance, dual coding, metacognition, social cognitive, theory of mind, or other cognitive or developmental psychology theories to STEM learning;
  • Interdisciplinary research approaches that examine science learning using a combination of methods from discipline-based education, learning science, educational psychology, and cognitive or developmental psychology;
  • Methodological studies that advance the use of cognitive or developmental psychology methods to study learning in authentic STEM education contexts;
  • Rigorous STEM education studies that inform or advance cognitive or developmental psychology theories;
  • Experiences of students in STEM classrooms who identify as members of historically underrepresented groups in STEM and the implications for cognitive or developmental psychology theory;
  • Research-based assessments for measuring cognitive or developmental psychology constructs in authentic STEM education contexts;
  • Augmented reality, virtual reality, or artificial intelligence-based educational technology that apply cognitive or developmental psychology theories for facilitating authentic learning or engagement in STEM education contexts;
  • Design principles for the design of STEM education or educational technologies that apply cognitive or developmental psychology theories.

I look forward to receiving your contributions.

Dr. Jason Morphew
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • engineering education
  • science education
  • mathematics education
  • cognitive science
  • cognitive psychology
  • developmental psychology
  • educational theory
  • evidence-based practice
  • measurement
  • methodology
  • educational technology

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Published Papers (2 papers)

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Research

32 pages, 1308 KB  
Article
The Hidden Burden of Keywords: Cognitive Load and Language Differences in Novice Python Programming
by Raina Mason and Carolyn Seton
Educ. Sci. 2026, 16(4), 657; https://doi.org/10.3390/educsci16040657 - 20 Apr 2026
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Abstract
Keyword recognition represents a fundamental skill in programming, yet little research has examined how novices develop this ability or how language background affects keyword learning. This study investigated cognitive load and keyword recognition accuracy amongst 27 novice programming students (15 English as an [...] Read more.
Keyword recognition represents a fundamental skill in programming, yet little research has examined how novices develop this ability or how language background affects keyword learning. This study investigated cognitive load and keyword recognition accuracy amongst 27 novice programming students (15 English as an additional language [EAL] and 12 English as a native language [ENL]) during an intensive six-week Python course. Students completed a keyword recognition task at Weeks 1 and 6, identifying and classifying 23 Python keywords while reporting cognitive load using the Klepsch instrument. The results revealed no significant improvement in identification accuracy (Week 1: 39.80%; Week 6: 48.16%) or classification accuracy (40% at both time points) despite intensive instruction. The reported extraneous cognitive load significantly increased from Week 1 to Week 6 (p = 0.039, d = 0.99), contradicting Cognitive Load Theory predictions that schema automation reduces extraneous load with experience. EAL students reported a significantly higher intrinsic cognitive load (p = 0.030, d = 0.91) and a marginally lower keyword identification accuracy (p = 0.058, d = −0.54) than ENL students. All students (100%) who identified keywords also missed duplicate instances, indicating universal incomplete processing. These findings challenge assumptions about schema development timelines in programming education and document measurable linguistic barriers that persist even after substantial instruction, with implications for inclusive computing pedagogy. Full article
(This article belongs to the Special Issue Cognitive and Developmental Psychology in STEM Education)
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18 pages, 597 KB  
Article
The Impact of Computational Thinking on Logical-Mathematical Reasoning in High School Education: A Quasi-Experimental Study
by Rubén Pajares Pescador, Luis Jorge Martín-Antón and Miguel Á. Carbonero-Martín
Educ. Sci. 2026, 16(2), 345; https://doi.org/10.3390/educsci16020345 - 21 Feb 2026
Viewed by 1149
Abstract
This article explores what impact a program of IT programming (Scratch and Python) activities has on the logical-mathematical reasoning of high school children. The sample comprised a group of 388 high school students, spanning first-year compulsory education (12 years old) up to second-year [...] Read more.
This article explores what impact a program of IT programming (Scratch and Python) activities has on the logical-mathematical reasoning of high school children. The sample comprised a group of 388 high school students, spanning first-year compulsory education (12 years old) up to second-year upper secondary (17 years old) students who were given the Differential and General Skills Battery (BADyG) before and after intervention through a quasi-experimental design. Statistical analysis of data involved multivariate analysis of variance (MANOVA), taking education level and group as independent variables. Results showed a principal significant effect of the group, with greater gains amongst the experimental group in four factors of BADyG (logical reasoning, numerical reasoning, visual-spatial reasoning, and general intelligence). Significant differences were also found in terms of education level in the numerical, visual-spatial, and general intelligence factors, with higher gains observed in the early years of compulsory secondary education compared to upper secondary education. No significant effects were found in the interaction between level and group, such that the impact of intervention was consistent throughout all the school years. In sum, the results suggest that a program which promotes computational thinking can favor the development of certain skills related to logical-mathematical reasoning in high school education under the conditions of this study. Full article
(This article belongs to the Special Issue Cognitive and Developmental Psychology in STEM Education)
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