NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20251
Since 20244
Since 2021 (last 5 years)16
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
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
Peer reviewed Peer reviewed
Direct linkDirect link
Yuanyuan Shi; Weimin Li – SAGE Open, 2024
Project-based learning (PBL) is a transformative approach to college education with the potential to develop comprehensive skills such as critical thinking, problem-solving, and teamwork. This study explores factors influencing the effectiveness of PBL and proposes strategies for its enhancement among Chinese college students. Utilizing the…
Descriptors: Active Learning, Student Projects, Foreign Countries, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Santagata, Rossella; Lee, Jiwon – Journal of Mathematics Teacher Education, 2021
This study examines the association between mathematical knowledge for teaching and instructional quality in a sample of first-year elementary school teachers. Ten teachers completed the mathematical knowledge for teaching (MKT) survey at the end of teacher preparation. Three mathematics lessons taught during their first year of teaching were…
Descriptors: Elementary School Teachers, Beginning Teachers, Knowledge Base for Teaching, Mathematics Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Coskun, Atakan; Cagiltay, Kursat – Journal of Computer Assisted Learning, 2022
Background: The most challenging task in eye-tracking-based multimedia research is to establish a relationship between eye-tracking metrics (or cognitive processes) and learners' performance scores. Additionally, there are current debates about the effectiveness of animations (or simulations) in promoting learning in multimedia settings.…
Descriptors: Eye Movements, Cognitive Processes, Animation, Multimedia Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fiock, Holly; Maeda, Yukiko; Richardson, Jennifer C. – International Review of Research in Open and Distributed Learning, 2021
Using three interdependent constructs: social, cognitive, and teaching presence, the Community of Inquiry framework is a theoretical process model of online learning. Specifically, teaching presence contains three sub-elements: (1) facilitation of discourse; (2) direct instruction; and (3) instructional design and organization--that work together…
Descriptors: Teacher Student Relationship, Online Courses, Instructional Design, Individual Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Ling; Carter, Richard Allen, Jr.; Basham, James D.; Yang, Sohyun – Journal of Computer Assisted Learning, 2022
Background: Personalized learning (PL), conceptualized as an education innovation that tailors learning to meet diverse student needs, has drawn increased attention from different fields of study, such as education, learning sciences, and computer science. Regardless, there is a lack of a comprehensive understanding of PL instructional designs…
Descriptors: Instructional Design, Access to Education, Inclusion, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Sivakorn Malakul; Cheeraporn Sangkawetai – Discover Education, 2024
Evaluating computer science (CS) teacher competencies is crucial for advancing CS education. This study aims to develop and evaluate a self-efficacy assessment tool for CS teaching competence among 1412 CS teachers nationwide in Thailand. Using structural equation modeling, the validity of the tool was examined across four domains: Content…
Descriptors: Computer Science Education, Secondary School Teachers, Elementary School Teachers, Self Efficacy
Previous Page | Next Page »
Pages: 1  |  2