NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Pi, Zhongling; Zhang, Yi; Yu, Qi; Yang, Jiumin – Educational Technology Research and Development, 2023
Much effort has been put into the design of video lectures, but little attention has been paid to the social environment in which learning takes place. The present study addressed this gap by assigning Chinese undergraduate and graduate students who had passed the College English Test-4 to learn easy or difficult English vocabulary words in three…
Descriptors: Video Technology, Lecture Method, Social Environment, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Elme, Liisalotte; Jørgensen, Maria L. M.; Dandanell, Gert; Mottelson, Aske; Makransky, Guido – Educational Technology Research and Development, 2022
The goal of the current study was to investigate the effects of an immersive virtual reality (IVR) science simulation on learning in a higher educational setting, and to assess whether using self-explanation has benefits for knowledge gain. A sample of 79 undergraduate biology students (40 females, 37 males, 2 non-binary) learned about…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Yanyan; Gao, Fei – Educational Technology Research and Development, 2020
This study examines the relationships among intrinsic motivation, critical variables related to technology adoption, and students' behavioral intention in mobile-assisted language learning (MALL). To test the hypothesized model through a path analysis, 169 survey responses were collected from undergraduate students who were foreign language…
Descriptors: Student Motivation, Educational Technology, Technology Uses in Education, Intention
Peer reviewed Peer reviewed
Direct linkDirect link
Novak, Elena; Daday, Jerry; McDaniel, Kerrie – Educational Technology Research and Development, 2018
This empirical study used Keller's (Technol Instr Cogn Learn 16:79-104, 2008b) motivation, volition, and performance (MVP) theory to develop and statistically evaluate a mathematical MVP model that can serve as a research and policy tool for evaluating students' learning experiences in digital environments. Specifically, it explored undergraduate…
Descriptors: Mathematical Models, Learning Motivation, Electronic Learning, Learning Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Li; Beal, Carole R. – Educational Technology Research and Development, 2020
The purpose of this study was to examine the effects of student-generated drawing and imagination on learning recall, learning transfer, and cognitive load, and also students' attitudes towards the learning strategies when learning a computer-based science text, compared to learning with provided pictures. The study used three groups: drawing…
Descriptors: Imagination, Freehand Drawing, Recall (Psychology), Transfer of Training
Peer reviewed Peer reviewed
Direct linkDirect link
Reid, Alan J.; Morrison, Gary R.; Bol, Linda – Educational Technology Research and Development, 2017
This paper presents results from an experimental study that examined embedded strategy prompts in digital text and their effects on calibration and metacomprehension accuracies. A sample population of 80 college undergraduates read a digital expository text on the basics of photography. The most robust treatment (mixed) read the text, generated a…
Descriptors: Metacognition, Comprehension, Learning Processes, Accuracy