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Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
Jennifer Scianna; Rogers Kaliisa – Educational Technology Research and Development, 2024
Educational researchers have pointed to socioemotional dimensions of learning as important in gaining a more nuanced description of student engagement and learning. However, to date, research focused on the analysis of emotions has been narrow in its focus, centering on affect and sentiment analysis in isolation while neglecting how emotions…
Descriptors: Computer Mediated Communication, Discussion, Discourse Analysis, Asynchronous Communication
Zhao, Fangzheng; Mayer, Richard E. – Educational Technology Research and Development, 2023
How does the emotional tone (happy or sad) and gender (male or female) of the instructor's computer-generated voice in a multimedia lesson affect learning processes and outcomes for female learners (Experiment 1) and male learners (Experiment 2)? In two experiments, college students viewed a 2.5 min narrated slideshow on the formation of lightning…
Descriptors: Emotional Response, Psychological Patterns, Intonation, Gender Differences
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
Ding, Seong Lin; Chew, Esyin – Educational Technology Research and Development, 2019
Theoretical claims about the benefits of online feedback suggest it can facilitate language learning. However, despite the calls for new digital literacies on language education, attitudes of educators have not been encouraging. To delve further into this issue, the present study addresses the following research concerns: (1) learners' metaphoric…
Descriptors: Educational Technology, Figurative Language, Feedback (Response), Student Attitudes
Zheng, Xiao-Li; Gu, Xin-Yan; Lai, Wen-Hua; Tu, Yun-Fang; Hwang, Gwo-Jen; Wang, Feng – Educational Technology Research and Development, 2023
At present, with the rapid development of the internet and the gradual promotion of online collaborative learning, the social regulation of learning is receiving increasing attention, which involves socially shared metacognition, one facet of social metacognition. To date, social regulation of learning or socially shared metacognition have been…
Descriptors: Metacognition, Content Validity, Cooperative Learning, Undergraduate Students
Biasutti, Michele; Frate, Sara – Educational Technology Research and Development, 2018
While a number of studies have considered that metacognition is related to processes at an individual level, the role of metacognition during collaborative learning activities remains unclear. Metacognition has been studied mainly as a process of the individual, neglecting the relevance of group regulated behavior during cooperative activities and…
Descriptors: Metacognition, Cooperative Learning, Validity, Reliability
Zhang, Qing; Peck, Kyle L.; Hristova, Adelina; Jablokow, Kathryn W.; Hoffman, Vicki; Park, Eunsung; Bayeck, Rebecca Yvonne – Educational Technology Research and Development, 2016
Approximately 10% of learners complete Massive Open Online Courses (MOOCs); the absence of peer and professor support contributes to retention issues. MOOC leaders often form groups to supplement in-course forums and Q&A sessions, and students participating in groups find them valuable. Instructors want to assist in the formation of groups,…
Descriptors: Online Courses, College Students, Academic Persistence, Computer Mediated Communication
Çelik, Servet – Educational Technology Research and Development, 2013
Course instructors across a wide range of disciplines have implemented computer-based learning resources such as online discussion boards. While the benefits of implementing an online discussion board in teaching have been well-documented, investigation into the social aspects of online learning environments is still needed in order to develop a…
Descriptors: Graduate Students, Action Research, Student Attitudes, English Instruction
Kuo, Yu-Chun; Belland, Brian R. – Educational Technology Research and Development, 2016
The study was an investigation of online adult learners' perceptions of interaction, satisfaction, and performance within an online course using the Blackboard platform. Interaction included learners' interaction with the instructor, content, and the classmates. The effect of student background variables and course-related variables on interaction…
Descriptors: Adult Learning, Adult Students, Student Attitudes, Electronic Learning
Ertmer, Peggy A.; Newby, Timothy J.; Liu, Wei; Tomory, Annette; Yu, Ji Hyun; Lee, Young Mi – Educational Technology Research and Development, 2011
An international wiki-based collaboration was integrated into a large introductory educational technology course enrolling 346 students, divided into 43 teams. Student teams participated in a 5-week project in which they created wiki chapters about the educational uses of specific Web 2.0 tools. Two to four international students, located in their…
Descriptors: Student Attitudes, Focus Groups, Educational Technology, Web Sites
Whipp, Joan L.; Lorentz, R. A. – Educational Technology Research and Development, 2009
While literature suggests that college students may be less reluctant to seek help in online rather than traditional courses, little is known about how online instructors give help in ways that lead to increased student help seeking and academic success. In this study, we used theories and research on learning assistance and scaffolding, teacher…
Descriptors: Help Seeking, Online Courses, Helping Relationship, Group Dynamics
Peer reviewedUribe, Daniel; Klein, James D.; Sullivan, Howard – Educational Technology Research and Development, 2003
Discusses problem solving, problem-based learning, and collaborative learning, and describes a university study that investigated the effects of individual Web-based learning versus computer-mediated collaborative Web-based learning and ability grouping on learner performance in solving ill-defined problems. Considers time on task, participant…
Descriptors: Ability Grouping, Academic Achievement, Computer Mediated Communication, Higher Education
Brewer, Susan; Klein, James D. – Educational Technology Research and Development, 2006
In this study, we investigated the effect of type of positive interdependence (roles, rewards, roles-plus-rewards, or no structure) and affiliation motives (high vs. low) in an asynchronous, collaborative learning environment. College reentry students worked together in small, fully online discussion groups that lasted for seven days. Results…
Descriptors: Student Attitudes, Discussion Groups, Cooperative Learning, Correlation

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