Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 9 |
Descriptor
Source
Author
| Abendschein, Bryan | 1 |
| Alyoubi, Bader A. | 1 |
| Avramides, Katerina | 1 |
| Carr, Amanda | 1 |
| Chao, Ching-Ju | 1 |
| Chien, Ming-Kuan | 1 |
| Desmarais, Michel, Ed. | 1 |
| Edwards, Autumn | 1 |
| Edwards, Chad | 1 |
| Essalmi, Fathi | 1 |
| Frasson, Claude | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 6 |
| Reports - Descriptive | 2 |
| Collected Works - Proceedings | 1 |
| Information Analyses | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Adult Education | 1 |
| Elementary Education | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Mejbri, Nesreen; Essalmi, Fathi; Jemni, Mohamed; Alyoubi, Bader A. – Education and Information Technologies, 2022
Considering that emotions have a great impact on motivation, reasoning, and decision making, affective computing methods, that were designed to attempt to understand and respond to human emotional states, have been used in more than one field including e-learning. Thus, a systematic literature review was conducted on 4 search engines resulting in…
Descriptors: Educational Technology, Technology Uses in Education, Emotional Response, Affective Behavior
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Abendschein, Bryan; Edwards, Chad; Edwards, Autumn; Rijhwani, Varun; Stahl, Jasmine – Journal of Communication Pedagogy, 2021
Technology encourages collaboration in creative ways in the classroom. Specifically, social robots may offer new opportunities for greater innovation in teaching. In this study, we combined the established literature on co-teaching teams with the developing field of machine actors used in education to investigate the impressions students had of…
Descriptors: Interpersonal Communication, Robotics, Team Teaching, Student Attitudes
Jraidi, Imene; Frasson, Claude – Educational Technology & Society, 2013
Detecting the student internal state during learning is a key construct in educational environment and particularly in Intelligent Tutoring Systems (ITS). Students' uncertainty is of primary interest as it is deeply rooted in the process of knowledge construction. In this paper we propose a new sensor-based multimodal approach to model…
Descriptors: Intelligent Tutoring Systems, Adults, Student Attitudes, Decision Making
Park, Minsoo – Information Research: An International Electronic Journal, 2013
Introduction: This study aims to understand the interactions of perception, effort, emotion, time and performance during the performance of multiple information tasks using Web information technologies. Method: Twenty volunteers from a university participated in this study. Questionnaires were used to obtain general background information and…
Descriptors: Web 2.0 Technologies, Man Machine Systems, Computer Interfaces, Difficulty Level
du Boulay, Benedict; Avramides, Katerina; Luckin, Rosemary; Martinez-Miron, Erika; Rebolledo-Mendez, Genaro; Carr, Amanda – International Journal of Artificial Intelligence in Education, 2010
This paper describes a Conceptual Framework underpinning "Systems that Care" in terms of educational systems that take account of motivation, metacognition and affect, in addition to cognition. The main focus is on "motivation," as learning requires the student to put in effort and be engaged, in other words to be motivated to learn. But…
Descriptors: Learning Motivation, Metacognition, Affective Behavior, Schemata (Cognition)
Shank, Daniel B. – Current Research in Social Psychology, 2010
Affect control theory is a theory of interaction that takes into account cultural meanings. Affect control research has previously considered interaction with technology, but there remains a lack of theorizing about inclusion of technology within the theory. This paper lays a foundation for an affect control theory of technology by addressing key…
Descriptors: Social Theories, Interpersonal Relationship, Interaction, Cultural Influences
Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan – Turkish Online Journal of Educational Technology - TOJET, 2012
Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Artificial Intelligence, Focus Groups
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

Peer reviewed
Direct link
