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Neslihan Yondemir Çaliskan; Emine Sendurur – Educational Technology Research and Development, 2025
Based on the assumptions of cognitive load theory, this study aims to utilize the eye movement data collected from multiple experts to scaffold novice graphic designers. The study has two main stages. In the first stage, eye tracking was used to record the eye movements of 7 experts, who covered eight topics explaining how to use Photoshop. The…
Descriptors: Eye Movements, Novices, Expertise, Guidance
Soonri Choi; Dongsik Kim; Jihoon Song – Educational Technology Research and Development, 2025
Despite the efforts of instructional design (ID) to solve real-life problems, it remains challenging to adapt and be flexible in such situations. In particular, problems that require simultaneous knowledge of multiple domains and contexts are more challenging to solve because real-life problems do not reconstruct the learned experience. This is…
Descriptors: Expertise, Instructional Design, Problem Solving, Cognitive Processes
Palmer, Russ; Choi, Ikseon – Educational Technology Research and Development, 2023
The goal of this article is to propose a framework for understanding the nature of "how people construct problems" by interacting with situations and subsequently to offer implications for instructional design and future research. We propose that people must interactively frame the components of a situation in order to establish the…
Descriptors: Problem Solving, Epistemology, Models, Cognitive Processes
Machmud, Muhammad Takwin; Wattanachai, Suchat; Samat, Charuni – Educational Technology Research and Development, 2023
This study is focusing on synthesizing the theoretical and designing framework of constructivist gamification environment models to enhance ill-structured problem solving in learning science. The research model used is based on model development (phase 1) proposed by Richey & Klein. This research consists of two phases as follow: (1) to…
Descriptors: Constructivism (Learning), Gamification, Educational Environment, Problem Solving
Xin Li; Yanyan Li; Rui Wang; Jiazhen Li – Educational Technology Research and Development, 2024
Collaborative engagement is a quality that contributes successful learning by examining social interactions among students. In natural contexts, online collaborative learning is an evolving process that is subject to fluctuation in how students engage in social interactions. However, few studies have explored the interplay and intertwining of…
Descriptors: Cooperative Learning, Learner Engagement, Cognitive Processes, Peer Relationship
Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
Chen, Xuqian; Wei, Ziqian; Li, Ziteng; Clariana, Roy B. – Educational Technology Research and Development, 2023
How does conceptual structure of external representations contribute to learning? This investigation considered the influence of generative concept sorting and of external structure information moderated by perceived difficulty. In Study 1, undergraduate students completed a perceived difficulty survey and comprehension pretest, then a sorting…
Descriptors: Undergraduate Students, Comprehension, Concept Formation, Difficulty Level
Parong, Jocelyn; Mayer, Richard E. – Educational Technology Research and Development, 2021
A relatively new technology being used to deliver academic lessons is immersive virtual reality (IVR). This study examined whether IVR is a more effective instructional medium than other multimedia, such as a video on a computer monitor. Additionally, this study explored the underlying affective and cognitive mechanisms of learning in an immersive…
Descriptors: History Instruction, Computer Simulation, Instructional Effectiveness, Cognitive Processes
Cheng, Kun-Hung; Tang, Kai-Yu; Tsai, Chin-Chung – Educational Technology Research and Development, 2022
Previous studies have provided various reviews with either general or specific scopes to understand virtual reality (VR) technologies for learning and teaching. However, a review of the networking structure among VR-supported education research from a citation-based perspective has not as yet been provided. With the inclusion of a total of 49…
Descriptors: Computer Simulation, Educational Research, Citation Analysis, Network Analysis
Tim Kühl; Felicia Teske; Martin Merkt; Christina Sondermann – Educational Technology Research and Development, 2025
The empirical evidence concerning the question whether an instructor should be presented on online lecture slides is equivocal and two lines of theoretical reasoning exist. On the one hand, the instructor may distract from the content, thereby hampering learning; on the other hand, the instructor may function as a social cue that triggers a more…
Descriptors: Lecture Method, Visual Aids, Online Courses, Attention Control
McVaugh, Nathan K.; Robinson, Daniel H. – Educational Technology Research and Development, 2022
Classroom response systems (i.e., clickers) have become increasingly popular to facilitate student learning. Unfortunately, the common practice of pausing a lecture to ask questions takes up precious time to cover content. Asking questions "on the fly" without pausing is a possible solution. But can students both attend to lecture and…
Descriptors: Time Management, Incidence, Notetaking, Retention (Psychology)
Alwafi, Enas Mohammad – Educational Technology Research and Development, 2023
This study investigated the impact of designing an online learning environment based on cognitive apprenticeship on students' critical thinking and interaction in CSCL. The one group pretest-posttest quasi-experimental design was used in this study. A questionnaire was used to measure students' critical thinking and social network analysis (SNA)…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Instructional Design, Electronic Learning
Li, Qiyuan; Sharma, Priya – Educational Technology Research and Development, 2023
This study examined the relationship between an individual learner's background, social network position, and interaction within a Massively Open Online Course (MOOC). Prior research has largely focused on the effects of background and social network position on quantitative features of interaction. This research considered qualitative features…
Descriptors: MOOCs, Students, Social Networks, Social Status
Krieglstein, Felix; Schneider, Sascha; Beege, Maik; Rey, Günter Daniel – Educational Technology Research and Development, 2022
Concept maps are assumed to enhance learning as their inherent structure makes relations between information more salient. Nevertheless, research on how to design concept maps as conducive to learning as possible is still rare. In particular, the salience of spatial arrangement of thematically related concepts within the map as well as the…
Descriptors: Cognitive Processes, Concept Mapping, Instructional Design, Learning Processes
Jingjing Chen; Bing Xu; Dan Zhang – Educational Technology Research and Development, 2024
Learning-related attention is one of the most important factors influencing learning. Although technologies have enabled the automatic detection of students' attention levels, previous studies mainly focused on colleges or high schools, lacking further validations in primary school students. More importantly, the detected attention might fail to…
Descriptors: Elementary School Students, Attention, Attention Span, Learning Strategies