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Zheng, Xudong; Ma, Yunfei; Yue, Tingyan; Yang, Xianmin – Educational Technology Research and Development, 2023
The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…
Descriptors: Cues, Reflection, Prompting, Video Technology
Lee, Yen-Fen; Hwang, Gwo-Jen; Chen, Pei-Ying – Educational Technology Research and Development, 2022
Review strategies after learning new knowledge are essential for students to consolidate the key points, understand the subject content, analyze aspects of the learning topics, and summarize the knowledge content of learning while mastering new knowledge. However, educators have found that students generally have difficulties seeking help when…
Descriptors: College Students, Control Groups, Foreign Countries, Artificial Intelligence
Zhu, Yue; Zhang, Jia Hua; Au, Wing; Yates, Greg – Educational Technology Research and Development, 2020
Studies have been conducted on university students' continuous intention to learn online from the perspectives of learning motivation and capability, perceptions or attitudes, and online learning experiences. However, few have examined how the above factors will relate to each other and contribute to students' online learning intention. This…
Descriptors: College Students, Student Attitudes, Online Courses, Blended Learning
Makransky, Guido; Lilleholt, Lau – Educational Technology Research and Development, 2018
Virtual reality (VR) is projected to play an important role in education by increasing student engagement and motivation. However, little is known about the impact and utility of immersive VR for administering e-learning tools, or the underlying mechanisms that impact learners' emotional processes while learning. This paper explores whether…
Descriptors: Computer Simulation, Computer Uses in Education, Psychological Patterns, Emotional Response
Broadbent, Jaclyn; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2018
This study examines a person-centered approach to self-regulated learning among 606 University students (140 online, and 466 in blended learning mode). Latent profile analysis revealed five distinct profiles of self-regulated learning: minimal regulators, restrained regulators, calm self-reliant capable regulators, anxious capable collaborators,…
Descriptors: Metacognition, Blended Learning, Online Courses, Profiles
Lin, Hao-Chiang Koong; Chao, Ching-Ju; Huang, Tsu-Ching – Educational Technology Research and Development, 2015
According to Krashen's affective filter hypothesis, students who are highly motivated have their self-consciousness. When they enter a learning context with a low level of anxiety, they are much more likely to become successful language acquirers than those who do not. Affective factors such as motivation, attitude, and anxiety, have a direct…
Descriptors: Anxiety, Tutoring, Second Language Learning, College Students
McNaught, Carmel; Lam, Paul; Cheng, Kin Fai – Educational Technology Research and Development, 2012
This article reports a study of eLearning in 21 courses in Hong Kong universities that had a blended design of face-to-face classes combined with online learning. The main focus of the study was to examine possible relationships between features of online learning designs and student learning outcomes. Data-collection strategies included expert…
Descriptors: Foreign Countries, Electronic Learning, Blended Learning, Internet