NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Shan; Zheng, Juan; Lajoie, Susanne P.; Wiseman, Jeffrey – Educational Technology Research and Development, 2021
Prior research has focused extensively on how emotion tendencies (e.g., duration, frequency, intensity, and valence) affect students' performance, but little is known about emotion variability (i.e., the fluctuations in emotion states) and how emotion variability affects performance. In this paper, emotion variability was examined among 21 medical…
Descriptors: Correlation, Emotional Response, Self Management, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Myunghwa; Lee, Jeongmin – Educational Technology Research and Development, 2021
The purpose of this study was to explore the teaching-learning process of informatics education in South Korea, where an informatics education initiative was recently announced for K-12 education. Based on this initiative, this study aimed to investigate the effect of academic self-efficacy, teacher support, and a deep approach to learning…
Descriptors: Computer Science Education, Secondary School Students, Academic Achievement, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Yeo, Jun-Hui; Cho, I.-Hsuan; Hwang, Gwo-Haur; Yang, Hsi-Hsun – Educational Technology Research and Development, 2022
Gender and prior knowledge may affect students' performance and motivation when simulations and games are used for learning. Accommodations should be made for students of different genders and with different levels of prior knowledge. A simulation digital game about the food chain concept geared for elementary school students was developed for…
Descriptors: Gender Differences, Prior Learning, Food, Biology
Peer reviewed Peer reviewed
Direct linkDirect link
Ilie, Marian D. – Educational Technology Research and Development, 2014
Gagné's instructional events are more focused on the human internal learning process than on the learning context. This study fills this gap because it presents certain instructional events that are focused on the construction of a positive learning context through the teacher-student relationship. Therefore, it's proposing an adaption of Gagné's…
Descriptors: Models, Correlation, Student Attitudes, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Kinshuk; Liu, Tzu-Chien; Graf, Sabine – Educational Technology Research and Development, 2009
Although learning styles are considered as an important factor in education, students often have to learn in courses that do not support their learning styles. A challenge for technology facilitated learning is therefore to assist and help students to cope with courses that do not match their learning styles by training and developing their less…
Descriptors: Cognitive Style, Online Courses, Student Behavior, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Capelo, Carlos; Dias, Joao Ferreira – Educational Technology Research and Development, 2009
This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term…
Descriptors: Feedback (Response), Models, Decision Making, Learning Processes