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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Ba, Shen; Stein, David; Liu, Qingtang; Long, Taotao; Xie, Kui; Wu, Linjing – Journal of Educational Computing Research, 2021
Despite the continuous emphasis on emotion in multimedia learning, it was still unclear how pedagogical agent emotional cues might affect learning. In the present study, a between-subjects experiment was performed to examine the effects of a pedagogical agent with dual-channel emotional cues on learners' emotions, cognitive load, and knowledge…
Descriptors: Cognitive Ability, Transfer of Training, Teaching Methods, Multimedia Instruction
Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
Ho, Tu-Kuang; Lin, Yu-Tzeng – Journal of Educational Computing Research, 2016
Group identity is a critical component in developing effective classroom management. While there have been numerous studies on group identity, they have primarily focused on its effects on the physical classroom entity. Advances in information technology, however, have enabled the creation of virtual communities, which have become a vital channel…
Descriptors: Group Dynamics, Classroom Techniques, Online Courses, Simulated Environment
Guo, Yan Ru; Goh, Dion Hoe-Lian – Journal of Educational Computing Research, 2015
Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning…
Descriptors: Meta Analysis, Affective Behavior, Educational Technology, Instructional Effectiveness
Nakic, Jelena; Granic, Andrina; Glavinic, Vlado – Journal of Educational Computing Research, 2015
This study brings an evidence-based review of user individual characteristics employed as sources of adaptation in recent adaptive learning systems. Twenty-two user individual characteristics were explored in a systematically designed search procedure, while 17 of them were identified as sources of adaptation in final selection. The content…
Descriptors: Individual Characteristics, Cognitive Ability, Educational Technology, Web Based Instruction
Locatelli, Sara M.; Kluwe, Katharina; Bryant, Fred B. – Journal of Educational Computing Research, 2012
Studies have found that general use of Facebook influences subjective well-being. However, fewer studies have explored the impact of specific use behaviors, such as information posted in status updates. The current study uses data collected from 251 Facebook-using undergraduate students through an online survey, and examines the valence and…
Descriptors: College Students, Web 2.0 Technologies, Web Sites, Social Networks

Arthurs, Edna M.; DeFranco, Thomas C.; Young, Michael F. – Journal of Educational Computing Research, 1999
Describes a study of sixth grade middle school students that examined whether tuning students' attention to information in a mathematics problem impacted their problem-solving performance. Discusses use of the Jasper Woodbury Problem-Solving series and results of statistical analyses that showed the importance of creating mathematical problems…
Descriptors: Academic Achievement, Affective Behavior, Analysis of Covariance, Grade 6

Yu, Fu-Yun – Journal of Educational Computing Research, 2001
Examines the effects and implications of embedding the element of competition in computer-assisted cooperative learning situations on student cognitive, affective, and social outcomes. Results of statistical analyses of Taiwanese fifth graders show that cooperation without inter-group competition engendered better attitudes and promoted more…
Descriptors: Affective Behavior, Cognitive Processes, Competition, Computer Assisted Instruction

Jackiw, Nicholas; Sinclair, Nathalie – Journal of Educational Computing Research, 2002
Proposes a whole-class view of microworld design in which the total ecology of students, technology, and teacher is considered by the decisions and choices of the design. Presents a case study analysis of a secondary school classroom implementation with a geometry microworld and discusses student affect, participation, and the role of educational…
Descriptors: Affective Behavior, Case Studies, Classroom Environment, Computer Software Development

Levin, Tamar; Gordon, Claire – Journal of Educational Computing Research, 1989
Describes study of Israeli secondary school students that was conducted to determine the extent to which gender and prior computer exposure affect students' attitudes toward computers prior to computer instruction in school. An attitude questionnaire designed to measure affective and cognitive attitudes toward computers is described, and results…
Descriptors: Affective Behavior, Affective Measures, Cognitive Measurement, Cognitive Style

Mevarech, Zemira R.; And Others – Journal of Educational Computing Research, 1991
Examines the effects of cooperative and individualistic computer-assisted instruction (CAI) programs on cognitive and affective variables in Israeli grade six mathematics classes. Analyses of the data indicate that students who used CAI for drill and practice in pairs performed better than students who used the same program individually. (30…
Descriptors: Academic Achievement, Affective Behavior, Analysis of Covariance, Cognitive Processes

Lehrer, Richard; And Others – Journal of Educational Computing Research, 1986
This study examined the instructional effectiveness of three software learning environments--LOGO, drill and practice, and teacher-directed activities--for preschool special needs children. Cognitive distancing was applied to classify children and child-software interactions; dependent measures included indicators of problem solving, skill…
Descriptors: Affective Behavior, Aptitude Treatment Interaction, Cognitive Development, Comparative Analysis

Repman, Judi – Journal of Educational Computing Research, 1993
Discussion of collaborative learning focuses on a study of seventh-grade social studies students that was conducted to determine whether incorporating structure and training into collaborative, computer-based learning would improve achievement, self-esteem, or increase the number of explanations given. Treatment groups that included regular and…
Descriptors: Academic Achievement, Affective Behavior, Analysis of Variance, Computer Assisted Instruction