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Alyssa P. Lawson; Richard E. Mayer – Journal of Educational Computing Research, 2024
In multimedia learning, there is a lot of new information that learners are exposed to, making it a cognitively intensive process. Poorly-designed multimedia lessons can introduce distractions that must be dealt with by the learner. However, learners do not all share the same skill at managing incoming information or holding capacity, which could…
Descriptors: Individual Differences, Executive Function, Multimedia Instruction, Attention Control
Libor Juhanák; Vojtech Jurík; Nicol Dostálová; Zuzana Juríková – Australasian Journal of Educational Technology, 2025
The use of metacognitive prompting to support self-regulated learning is a well-established area of research in education. Despite receiving considerable attention, the precise mechanism of prompting and its effects on the learning process remain unclear, especially in the context of multimedia learning. This study employed a controlled laboratory…
Descriptors: Metacognition, Cues, Outcomes of Education, Undergraduate Students
Moore, Monika – Collected Essays on Learning and Teaching, 2023
Multicontext theory offers an approach to designing learning experiences and environments that take into account varied ways of thinking and knowing, are relevant inside and outside of the classroom, and can both enrich and encompass the lives of students on and off campus (Chavez & Longerbeam, 2016; Ibarra, 2001, 2005). Educators can leverage…
Descriptors: Cultural Context, Instructional Design, Cognitive Style, Diversity
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Blazhenkova, Olesya; Dogerlioglu-Demir, Kivilcim; Booth, Robert W. – Cognitive Research: Principles and Implications, 2022
Previous research has shown that face masks impair the ability to perceive social information and the readability of emotions. These studies mostly explored the effect of standard medical, often white, masks on emotion recognition. However, in reality, many individuals prefer masks with different styles. We investigated whether the appearance of…
Descriptors: Emotional Experience, Psychological Patterns, Emotional Disturbances, Design Preferences
Smets, Wouter; De Neve, Debbie; Struyven, Katrien – Educational Action Research, 2022
As student populations in schools become more diverse in many western countries, the urge for teachers to provide instruction that caters for students' needs increases concurrently. Teachers however find it difficult to put differentiated instruction into practice. This study is based on an action research project that documented teachers'…
Descriptors: Secondary School Teachers, Individualized Instruction, Student Needs, Instructional Design
Marc Brysbaert – Cognitive Research: Principles and Implications, 2024
Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose…
Descriptors: Experimental Psychology, Individual Differences, Statistical Analysis, Task Analysis
Lu Kehan; Amrita Kaur; Zhou Yu; He Yuzhen; Huang Yuchong; Zhan Yinuo; Mohammad Noman – Teaching & Learning Inquiry, 2024
Students' seating selection is a significant physical variable that has implications for both teachers and students. These seating preferences have been linked to students' personalities, motivation, and academic performance. However, there is limited knowledge regarding the cultural influences on these preferences. In this exploratory qualitative…
Descriptors: Foreign Countries, Individual Differences, Decision Making, Preferences
Tornqvist, Dominicus; Wen, Lian; Tichon, Jennifer; Bai, Guangdong – Journal of Interactive Learning Research, 2021
There is a healthy research community focused on individual differences to tailor serious games for maximum effect for each person. But there is a comparative lack of research on the scalability of serious games for maximising knowledge saturation in a population. Scalability is critical in many real applications. The authors detail this neglected…
Descriptors: Educational Games, Individual Differences, Learning Processes, Discovery Learning
Hampton, Lauren H.; Chow, Jason C. – Remedial and Special Education, 2022
Special educators serve a diverse population of students with unique strengths and needs, and adaptive interventions that account for individual differences before and during the intervention are an important tool to moving the field toward more individualized practices. The purpose of this article is to detail the conceptualization and…
Descriptors: Special Education, Students with Disabilities, Intervention, Individual Differences
Chaw, Lee Yen; Tang, Chun Meng – International Journal of Educational Management, 2023
Purpose: This study intends to examine whether the reasons learners like or dislike a learning environment can help explain the differences in the characteristics of the learner and whether learner characteristics can influence a learner's preference for a learning environment. Design/methodology/approach: This study adopted an exploratory…
Descriptors: Student Characteristics, Student Attitudes, Educational Environment, Preferences
Liao, Hongjian; Zhang, Qianwei; Yang, Lin; Fei, Yuenong – Education and Information Technologies, 2023
This study explored the relationships among regulated learning, teaching presence and student engagement in blended learning. A two-level model was designed based on contextual factors (teaching presence) and individual factors (regulated learning), and experience sampling method was employed to collect intensive longitudinal data on 139…
Descriptors: Metacognition, Teaching Methods, Learner Engagement, Blended Learning
Marta Maria Poyato-Nunez; Maria del Carmen Olmos-Gomez; Maria Elena Parra-Gonzalez – Journal of Education and e-Learning Research, 2024
A quality learning space provides students with an optimal environment for social relations, collaborative work and participation, thus fostering innovation and incorporating active methodologies. The aim of this study is to analyze whether the design of existing learning environments is suitable for incorporating innovation in classrooms. The…
Descriptors: Teacher Attitudes, Teaching Conditions, Educational Innovation, Foreign Countries
Hamat, Basyarah; Eisenbart, Boris; Badke-Schaub, Petra; Schoormans, Jan – International Journal of Technology and Design Education, 2020
Mind-sets are expected to influence the process of designing, which require designers to successfully integrate complex decision-making processes into good design solutions. The study reported here analyses whether differences in mind-sets shown by design students can influence their design processes and impact the quality of the design solutions…
Descriptors: Design, Creativity, Individual Differences, Undergraduate Students
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences