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Pérez-López, Raúl; Gurrea-Sarasa, Raquel; Herrando, Carolina; Martín-De Hoyos, María José; Bordonaba-Juste, Victoria; Utrillas-Acerete, Ana – Australasian Journal of Educational Technology, 2020
Twitter is a microblog that allows users to interact about a topic in online discussion. This makes it an interesting interactive tool with possibilities to increase student engagement and learning performance through active collaboration in an informal learning environment. However, few articles take a quantitative approach to investigate the…
Descriptors: Learner Engagement, Cognitive Processes, Affective Behavior, Social Media
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Heather Robinson; Whitney Kilgore; Maha Al-Freih – OTESSA Conference Proceedings, 2021
Researchers in the field of online learning have raised concerns over its lack of focus on the affective/emotional aspect of the online learning experience, despite a strong research base indicating the important role that emotions play in successful and effective learning (Ch'ng, 2019). Utilizing a phenomenological methodological approach, the…
Descriptors: Students, Teachers, Electronic Learning, Online Courses
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Arguedas, Marta; Daradoumis, Thanasis; Xhafa, Fatos – Educational Technology & Society, 2016
Considering social and emotional competence in learning, "emotion awareness" aims to detect the emotions that students show during their learning interactions and make these emotions explicit to them. Being aware of their emotions, students become more conscious of their situation, what may prompt them to behavioral change. The main goal…
Descriptors: Student Motivation, Emotional Response, Self Concept, Consciousness Raising
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Sloan, Fred A.; Koohang, Alex A. – Computers in the Schools, 1991
Discussion of the advantages of local area networks (LANs) focuses on their use for successful cooperative learning. Individual and group assessment of success are discussed, effects on academic and affective achievement are considered, and computer-assisted instruction (CAI) programs to use with networking are suggested. (19 references) (LRW)
Descriptors: Academic Achievement, Affective Behavior, Computer Assisted Instruction, Cooperative Learning
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Dornyei, Zoltan – Modern Language Journal, 1997
Investigates reasons for the success of cooperative learning (CL) from a psychological perspective, focusing on group dynamics and the motivational system generated by peer cooperation. Argues that the affective domain of CL plays a crucial role in the learning process. The paper summarizes the factors contributing to the promotion of learning…
Descriptors: Academic Achievement, Affective Behavior, Cooperative Learning, Group Dynamics
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Bennett, Tom R.; Flores, Margaret S. – Journal of Educational Psychology, 1998
This developmental and cultural study investigates the impact children's attributions and affects have on their willingness to help in achievement contexts. Findings support Weiner's (1980) attribution-emotion-action model, although interesting developmental and cultural differences were revealed. Classroom implications and directions for future…
Descriptors: Academic Achievement, Affective Behavior, Attribution Theory, Chinese Americans
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Chambers, Bette; Abrami, Philip C. – Journal of Educational Psychology, 1991
The relationships among prior achievement, individual outcome, team outcome, and students' achievement and academic perceptions were studied for 190 students (grades 3 through 7) learning mathematics in teams. Subjects' teachers also participated. Team outcome was related to achievement and academic perceptions, but not to prior achievement and…
Descriptors: Academic Achievement, Affective Behavior, Attribution Theory, Causal Models
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Schweinle, Amy; Meyer, Debra K.; Turner, Julianne C. – Journal of Educational Research, 2006
The authors explored the relationship between motivation and affect in upper elementary mathematics classes from the perspective of flow theory. They also investigated the relationship between students' motivation and teachers' instructional practices. Students' reported classroom experiences formed 4 factors--Social Affect, Personal Affect,…
Descriptors: Self Efficacy, Student Motivation, Elementary School Mathematics, Factor Analysis
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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
Necessary, James R.; Wilhite, Stephen C. – 1996
This study was designed to assess the effects of a specific cooperative learning strategy in an introductory college business information systems course. The cooperative approach's impact on student achievement and on a number of personal and social attributes was examined. A total of 117 college sophomores and freshmen enrolled in 3 sections of…
Descriptors: Academic Achievement, Affective Behavior, Business Education, College Freshmen
Yildiran, Guzver; Aydin, Emin – Online Submission, 2005
Motivation for learning is important for positive learning outcomes as well as for measured achievement levels. When students come to our classes, they bring with them learning histories in which we as individual teachers, most likely, did not have an input. Our students do not only bring with them different levels of prerequisite leanings but…
Descriptors: Academic Achievement, Mastery Learning, Cooperative Learning, Competition
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Woodul, Charles E., III; Vitale, Michael R.; Scott, Barbara J. – Journal of Educational Technology Systems, 2000
Discusses results of a study of at-risk eighth grade students that investigated whether a constructivist multimedia learning activity after a social studies unit would show greater social studies knowledge and more positive attitudes toward and self-confidence in learning. Describes instruments used to measure student achievement and the…
Descriptors: Academic Achievement, Affective Behavior, Authoring Aids (Programming), Computer Assisted Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection