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Xin Li; Yanyan Li; Rui Wang; Jiazhen Li – Educational Technology Research and Development, 2024
Collaborative engagement is a quality that contributes successful learning by examining social interactions among students. In natural contexts, online collaborative learning is an evolving process that is subject to fluctuation in how students engage in social interactions. However, few studies have explored the interplay and intertwining of…
Descriptors: Cooperative Learning, Learner Engagement, Cognitive Processes, Peer Relationship
Wang, Huanhuan; Lehman, James D. – Educational Technology Research and Development, 2021
Current online learning approaches are sometimes criticized for a "one-size-fits-all" approach and insufficient feedback, which may result in low levels of satisfaction and high dropout rates. To mitigate these shortcomings, we implemented a set of principles for designing personalized motivational feedback based on students' achievement…
Descriptors: Achievement Need, Goal Orientation, Individualized Instruction, Student Motivation
Katai, Zoltan – Educational Technology Research and Development, 2020
We proposed to investigate whether properly calibrated e-learning environments can efficiently promote computational thinking of both sciences- and humanities-oriented people. We invited two groups of students (sciences- vs. humanities-oriented members) to participate in a six-stage learning session: to watch a folk-dance illustration (s1) and an…
Descriptors: Computation, Thinking Skills, Intellectual Disciplines, Instructional Design
Cho, I-Hsuan; Yeo, Jun-Hui; Hwang, Gwo-Haur; Yang, Hsi-Hsun – Educational Technology Research and Development, 2022
Collaborative learning helps to construct a learning situation in which students solve problems together, and their learning effectiveness is promoted. However, collaborative learning often has the problem of unequal participation of learners. Therefore, this study combines the collaborative learning mode of the virtual environment of digital…
Descriptors: Elementary School Students, Grade 4, Virtual Classrooms, Electronic Learning
Bruso, Jacqueline; Stefaniak, Jill; Bol, Linda – Educational Technology Research and Development, 2020
Each learner brings a unique mix of personality traits, preferences, and talents to the educational setting. These factors can influence the extent to which learners are able to effectively deploy skills and strategies to achieve their academic goals. Gaining a deeper awareness of how specific personality traits play a role in the choice and…
Descriptors: Personality Traits, Predictor Variables, Self Management, Learning Strategies
Broadbent, Jaclyn; Panadero, Ernesto; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2020
Self-regulated learning (SRL) is associated with increased academic achievement and improved learning outcomes for students. Thus, it is import to find ways to improve SRL, such as through training. Face-to-face training, discipline-dependent training, and paper-and-pencil diaries are limited in the number of students they can reach. The current…
Descriptors: Electronic Learning, Handheld Devices, Computer Software, Diaries
Zhao, Qin; Huang, Xiaoxia – Educational Technology Research and Development, 2020
This study investigated how gender and beliefs about ability moderate the effects of attributional praise feedback on college students' task motivation and performance in an online environment. We conducted a 3 (praise type: ability vs. effort vs. none) × 2 (gender: male vs. female) × 2 (belief about ability: entity vs. incremental)…
Descriptors: Positive Reinforcement, Individual Differences, Electronic Learning, Self Efficacy
El-Masri, Mazen; Tarhini, Ali – Educational Technology Research and Development, 2017
This study examines the major factors that may hinder or enable the adoption of e-learning systems by university students in developing (Qatar) as well as developed (USA) countries. To this end, we used extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with Trust as an external variable. By means of an online survey, data were…
Descriptors: Foreign Countries, Barriers, Electronic Learning, Educational Technology
Vandewaetere, Mieke; Vandercruysse, Sylke; Clarebout, Geraldine – Educational Technology Research and Development, 2012
Research on computer-based adaptive learning environments has shown exemplary growth. Although the mechanisms of effective adaptive instruction are unraveled systematically, little is known about the relative effect of learners' perceptions of adaptivity in adaptive learning environments. As previous research has demonstrated that the learners'…
Descriptors: Intelligent Tutoring Systems, Predictor Variables, Student Attitudes, Student Motivation
van Loon, Anne-Marieke; Ros, Anje; Martens, Rob – Educational Technology Research and Development, 2012
In the present study, the ways in which digital learning tasks contribute to students' intrinsic motivation and learning outcomes were examined. In particular, this study explored the relative contributions of autonomy support and the provision of structure in digital learning tasks. Participants were 320 fifth- and sixth-grade students from eight…
Descriptors: Foreign Countries, Student Motivation, Electronic Learning, Outcomes of Education
Kim, ChanMin – Educational Technology Research and Development, 2012
In this paper, guidelines for designing virtual change agents (VCAs) are proposed to support students' affective and motivational needs in order to promote personalized learning in online remedial mathematics courses. Automated, dynamic, and personalized support is emphasized in the guidelines through maximizing "interactions" between VCAs and…
Descriptors: Electronic Learning, Instructional Design, Online Courses, Web Based Instruction
Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily – Educational Technology Research and Development, 2011
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…
Descriptors: Electronic Learning, Student Motivation, Online Courses, Learning Motivation
Arnone, Marilyn P.; Small, Ruth V.; Chauncey, Sarah A.; McKenna, H. Patricia – Educational Technology Research and Development, 2011
This paper identifies the need for developing new ways to study curiosity in the context of today's pervasive technologies and unprecedented information access. Curiosity is defined in this paper in a way which incorporates the concomitant constructs of interest and engagement. A theoretical model for curiosity, interest and engagement in new…
Descriptors: Personality Traits, Research Methodology, Learning Modalities, Learner Engagement
Li, Qing; Moorman, Lynn; Dyjur, Patti – Educational Technology Research and Development, 2010
This research seeks to (1) establish a feasible development and implementation model for an inquiry-based learning environment with e-mentoring using videoconference, and (2) apply the model to examine its impact on rural students' learning. To achieve these goals, we developed a model of inquiry-based learning with e-mentoring (IBLE) based on…
Descriptors: Mentors, Inquiry, Rural Education, Career Awareness