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Sriwisathiyakun, Kanyarat; Dhamanitayakul, Chawaporn – Education and Information Technologies, 2022
Intelligent conversational agents have been implemented as virtual assistants in mobile applications to facilitate, engage, and interact with users for optimal learning experiences. With 24/7 availability, providing instant and consistent responses, chatbots, as a type of intelligent conversational agent, will help benefit the learning…
Descriptors: Older Adults, Foreign Countries, Technological Literacy, Discourse Modes
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Gallagher, Shelagh – Gifted Education International, 2022
A sample of 108 highly gifted middle school students participated in a study of the relationships between Big Five factors and overexcitabilities. Students completed the NEO-FFI and Overexcitabilities Questionnaire-II (OEQ-II). A cutoff score applied to the OEQ-II created a threshold for overexcitability, ensuring only extreme responses. Analysis…
Descriptors: Academically Gifted, Middle School Students, Personality Traits, Intelligence
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Méndez-Giménez, Antonio; del Pilar Mahedero-Navarrete, María; Puente-Maxera, Federico; de Ojeda, Diego Martínez – European Physical Education Review, 2022
Research on the impact of the Sport Education model (SEM) in motivational terms is prolific and consistent; however, studies that jointly address the effects of the SEM on adolescents' motivational, emotional, and well-being dimensions are scarce. This study aimed to examine the effect of a multi-season SEM-based program on self-determined…
Descriptors: Physical Education, Student Motivation, Psychological Patterns, Well Being
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Saw, Khin Nyunt Nyunt; Han, Buxin – Journal of Education for Teaching: International Research and Pedagogy, 2022
Studying successful intelligence and personality traits that influence academic achievement helps to realise the underlying abilities of students with high intelligence in teacher education programmes who have low academic achievement. Factors that do not influence academic achievement are probably important factors for life success. The purpose…
Descriptors: Foreign Countries, Preservice Teachers, Intelligence, Personality Traits
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Besbes, Seifeddine; Twala, Bhekisipho; Besbes, Riadh – Journal of Educational Technology Systems, 2022
In this paper, an empirical comparison of three state-of-the-art classifier methods (artificial immune recognition systems, Lazy-K Star, and random tree) to predict teachers' ability to adapt in a classroom environment is carried out. Two educational databases are used for this task. First, measures collected in an academic context, especially…
Descriptors: Instructional Effectiveness, Learning Analytics, Adjustment (to Environment), Classroom Environment
Bui, Ngoc Van P. – ProQuest LLC, 2022
This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…
Descriptors: Artificial Intelligence, At Risk Students, Prediction, Data Science
Smith, Vicki – ProQuest LLC, 2022
The purpose of this study is to conduct an analytical review of the effects of emotional intelligence on burnout syndrome among nurses and to probe potential coping strategies to revitalize the nursing curriculum to improve the performance of healthcare professionals. With nursing burnout on the rise and a nursing shortage already a problem,…
Descriptors: Emotional Intelligence, Burnout, Nurses, Coping
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Beghetto, Ronald A., Ed.; Jaeger, Garrett J., Ed. – Creativity Theory and Action in Education, 2022
This edited volume brings together a group of international researchers and theorists from various intellectual and analytic traditions to explore the role uncertainty plays in creativity, learning, and development. Contributors to this volume draw on existing programs of research as well as introduce new and even speculative directions for…
Descriptors: Creativity, Individual Development, Play, Reflection
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
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Oravec, Jo Ann – Education Policy Analysis Archives, 2022
Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial…
Descriptors: Artificial Intelligence, Bibliometrics, Cheating, Identification
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Al Dhaheri, Ali – Journal for Multicultural Education, 2022
Purpose: The purpose of this paper is to report results of testing and validation of the cultural intelligence (CQ) Scale in a new location, the culturally diverse United Arab Emirates (UAE) and in a new sector: public and private school leaders. Design/methodology/approach: This study surveys 167 school leaders from public and private schools in…
Descriptors: Cultural Awareness, Intelligence, Measures (Individuals), Leadership Qualities
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Pasquier, Aurélie; Ponthieu, Guillaume; Papon, Lola; Bréjard, Vincent; Rezzi, Nathalie – Education 3-13, 2022
The main aim of this study was to test the effect of an emotionally-focused educational program on the language and emotional skills of children aged 9-11. Sixty seven pupils were divided randomly into an experimental group who received teaching on emotions in an oracy context, and into a control group who completed a learning sequence unconnected…
Descriptors: Foreign Countries, Elementary School Students, Emotional Development, Emotional Intelligence
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Chen, Huan; Li, You; Wang, Ye; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Journal of Ethnographic & Qualitative Research, 2022
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited, lacking both breadth and depth. In the present study, we addressed this research gap by exploring students' perception of learning in AI-related courses facilitated by an open experiential AI platform.…
Descriptors: Artificial Intelligence, Technology Integration, Computer Science Education, Communications
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Carruana Martín, Adrián; Alario-Hoyos, Carlos; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2022
COVID-19 has brought new hybrid learning environments with some students in the classroom and some others online, synchronously, due to the needs of social distancing. These new hybrid learning environments pose new challenges, for example for group collaboration. This paper presents Smart Groups, a system aimed at helping teachers to orchestrate…
Descriptors: Blended Learning, Cooperative Learning, Electronic Learning, COVID-19
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May, Richard J.; Tyndall, Ian; McTiernan, Aoife; Roderique-Davies, Gareth; McLoughlin, Shane – British Journal of Educational Technology, 2022
Online interventions promoted to enhance cognitive ability hold great appeal for their potential positive impact in social, employment, and educational domains. Cognitive training programs have, thus far, not been shown to influence performance on tests of general cognitive aptitude. Strengthening Mental Abilities with Relational Training (SMART)…
Descriptors: Program Effectiveness, Meta Analysis, Intervention, Cognitive Ability
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