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Marc P. Janson; Oliver Dickhäuser – Journal of Experimental Education, 2025
Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…
Descriptors: Cognitive Processes, Difficulty Level, Feedback (Response), Preferences
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Shiqi Liu; Sannyuya Liu; Xian Peng; Jianwen Sun; Zhi Liu – Journal of Educational Computing Research, 2025
Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…
Descriptors: MOOCs, Difficulty Level, Learner Engagement, Academic Achievement
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Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
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Siregar, Nani Restati – Journal of Education, 2023
Explicit instruction is a teaching strategy that aims to avoid cognitive overload experienced by students which aims to improve academic performance. Previous research has mentioned working memory as a cognitive capacity that processes information and cognitive control and supports the success of explicit teaching on student academic performance.…
Descriptors: Direct Instruction, Executive Function, Capacity Building, Cognitive Processes
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Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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Chi-Cheng Chang; Tseng-Chuan Chen – Interactive Learning Environments, 2024
This study aims to explore how e-textbooks with emotional design affect students' emotion, cognitive load and learning achievement. There were 147 freshman students in total: the experimental group I, II and control group consisted of 49, 47 and 51 students, using e-textbooks with emotional design, without emotional design and traditional paper…
Descriptors: Electronic Books, Technology Uses in Education, Handheld Devices, College Freshmen
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Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
Anita Marie Knox – ProQuest LLC, 2024
This quantitative study examined the effects of stored color knowledge on learning achievement and cognitive load using a randomized pretest-posttest control group design. Social media was used to recruit 60 adult participants, randomized into control and experimental groups. A multimedia lesson was presented where the control group viewed images…
Descriptors: Color, Cognitive Processes, Difficulty Level, Knowledge Level
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Krieglstein, Felix; Meusel, Felicia; Rothenstein, Eva; Scheller, Nadine; Wesenberg, Lukas; Rey, Günter Daniel – Smart Learning Environments, 2023
Whiteboard animations have become very popular in recent years. They are mainly used in distance education, where learners can acquire knowledge individually and without the help of a teacher. However, there is little empirical evidence on how whiteboard animations should be designed to achieve learning-enhancing effects. Since the presentation of…
Descriptors: Visual Aids, Animation, Instructional Effectiveness, Human Body
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Zhao, Fuzheng; Liu, Gi-Zen; Zhou, Juan; Yin, Chengjiu – Educational Technology & Society, 2023
Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to…
Descriptors: Learning Analytics, Man Machine Systems, Artificial Intelligence, Learning Strategies
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Yi Zhang; Jiumin Yang; Chenyan Dai; Zhongling Pi – Educational Technology & Society, 2024
Previous studies have shown that encouraging students to use self-explanation strategies has proven effective in text-focused learning contexts. However, no study to date has focused on how students' strategy preference moderates the effect of self-explanation strategies on learning from video lectures. The current study investigated how students'…
Descriptors: Teaching Methods, Video Technology, Lecture Method, Preferences
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Paul Evans; Maarten Vansteenkiste; Philip Parker; Andrew Kingsford-Smith; Sijing Zhou – Educational Psychology Review, 2024
Although cognitive load theory research has studied factors associated with motivation, these literatures have primarily been developed in isolation from each other. In this contribution, we aimed to advance both fields by examining the effects of instructional strategies on learners' experience of cognitive load, motivation, engagement, and…
Descriptors: Cognitive Processes, Difficulty Level, Learning Motivation, Self Determination
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Genmei Zuo; Lijia Lin – Instructional Science: An International Journal of the Learning Sciences, 2025
The purpose of the study was to investigate (a) whether the effects of hand tracing and whole-body tracing reported in the literature could be extended to adults, and (b) the relative superiority of whole-body tracing over hand tracing. Two experiments were conducted to investigate the potential effects of these two kinesthetic approaches on…
Descriptors: Freehand Drawing, Human Body, Kinesthetic Perception, Adults
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Liu, Yi-Chun; Wang, Wei-Tsong; Huang, Wen-Hsin – Education and Information Technologies, 2023
Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students' learning. However, studies that specifically examine the effects of game quality and different types of cognitive loads on learning effectiveness in MGBL contexts are scarce. Therefore, this study aims to address this…
Descriptors: Video Games, Cognitive Processes, Difficulty Level, Academic Achievement
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