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Sfetcu, Nicolae – Online Submission, 2023
The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…
Descriptors: Models, Emotional Intelligence, Cognitive Ability, Cognitive Processes
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
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
Zhaomin Yang; Sayam Chuangprakhon; Weerayut Seekhunlio – Asian Journal of Education and Training, 2025
This study examines the impact of integrating Ziyang folk songs into the school music curriculum on students' musical skills and cultural appreciation. It aims to explore how traditional music can enhance student engagement, emotional intelligence, and cognitive abilities while promoting cultural preservation. A qualitative research methodology…
Descriptors: Singing, Music Education, Folk Culture, Asian Culture
Cloe Zeidan – ProQuest LLC, 2024
The present dissertation reports two experiments that examine implicit and explicit language learning methods and their impacts on early vocabulary, grammar, and phonological acquisition, in addition to working memory, proactive/reactive control, and fluid intelligence, as well as learner motivation. Experiment 1 investigated adult L2 acquisition…
Descriptors: Learning Processes, Second Language Learning, Cognitive Ability, Teaching Methods
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Rani, M. Usha; Prakash, Srinivasan – Journal on Educational Psychology, 2015
Intelligence involves the ability to think, solve problems, analyze situations, and understand social values, customs, and norms. Intelligence is a general mental capability that involves the ability to reason, plan, think abstractly, comprehend ideas and language, and learn. Intellectual ability involves comprehension, understanding, and learning…
Descriptors: Intelligence, Intelligence Differences, High School Students, Intellectual Disciplines
Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Thenmozhi, C. – Shanlax International Journal of Education, 2019
Thinking is a common process. Cognitive ability includes knowledge, memory and metacognition. Knowledge requires memory. These two are inextricably linked. Parents and teachers need to encourage children to take an active role in their learning and show them how to use what they know to the best advantage. Cognition is primarily a mental process.…
Descriptors: Metacognition, Cognitive Ability, Knowledge Level, Memory
Indah Werdiningsih; Marzuki; Inda Indrawati; Diyenti Rusdin; Francisca Maria Ivone; Yazid Basthomi; Zulfahreza – Cogent Education, 2024
The primary aim of this study is to delve into the experiences of postgraduate EFL students in using ChatGPT and to uncover the strategic approaches they implement throughout their writing process. This qualitative case study research design engages 16 Master's degree students from four different universities in Indonesia, each with varying levels…
Descriptors: Graduate Students, Student Attitudes, Computer Software, Technology Uses in Education
Amjad Almusaed; Asaad Almssad; Ammar K. Albaaj – International Society for Technology, Education, and Science, 2024
The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating…
Descriptors: Ethics, Lifelong Learning, Artificial Intelligence, Computer Software
Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
Sejun Oh – Journal of Baltic Science Education, 2025
Climate change and sustainability pose abstract, interdisciplinary challenges that demand innovative pedagogy. This study aimed to examine how generative text-to-video (TTV) tools influence pre-service teachers' lesson-planning competencies and what educational values and affordances pre-service teachers attribute to the technology. A convergent…
Descriptors: Preservice Teachers, Teacher Education Programs, Artificial Intelligence, Interdisciplinary Approach