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Yang Shi; Tiffany Barnes; Min Chi; Thomas Price – International Educational Data Mining Society, 2024
Knowledge tracing (KT) models have been a commonly used tool for tracking students' knowledge status. Recent advances in deep knowledge tracing (DKT) have demonstrated increased performance for knowledge tracing tasks in many datasets. However, interpreting students' states on single knowledge components (KCs) from DKT models could be challenging…
Descriptors: Algorithms, Artificial Intelligence, Models, Programming
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Muhammad Fawad Akbar Khan; Max Ramsdell; Erik Falor; Hamid Karimi – International Educational Data Mining Society, 2024
This paper undertakes a thorough evaluation of ChatGPT's code generation capabilities, contrasting them with those of human programmers from both educational and software engineering standpoints. The emphasis is placed on elucidating its importance in these intertwined domains. To facilitate a robust analysis, we curated a novel dataset comprising…
Descriptors: Artificial Intelligence, Automation, Computer Science Education, Programming
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Meng Cao; Philip I. Pavlik Jr.; Wei Chu; Liang Zhang – International Educational Data Mining Society, 2024
In category learning, a growing body of literature has increasingly focused on exploring the impacts of interleaving in contrast to blocking. The sequential attention hypothesis posits that interleaving draws attention to the differences between categories while blocking directs attention toward similarities within categories [4, 5]. Although a…
Descriptors: Attention, Algorithms, Artificial Intelligence, Classification
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Kate M. Xu; Lijia Lin; Margareta Gorter; Sascha Schneider; Joshua Weidlich; Robert O. Davis; Karel Kreijns; Renate de Groot – British Journal of Educational Technology, 2026
Social presence has been hypothesized to facilitate successful learning in digital and online learning environments. Instructor presence in instructional videos is suggested to enhance learners' social presence. However, research is still relatively rare regarding the elementary school learner population. The current experimental study…
Descriptors: Elementary School Students, Student Participation, Electronic Learning, Video Technology
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Józsa, Krisztián; Amukune, Stephen; Zentai, Gabriella; Barrett, Karen Caplovitz – Journal of Intelligence, 2022
Research has shown that the development of cognitive and social skills in preschool predicts school readiness in kindergarten. However, most longitudinal studies are short-term, tracking children's development only through the early elementary school years. This study aims to investigate the long-term impact of preschool predictors, intelligence,…
Descriptors: Foreign Countries, School Readiness, Intelligence Tests, Preschool Children
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Cruz, Sara; Cruz, Raquel; Alcón, Alicia; Sampaio, Adriana; Merchan-Naranjo, Jessica; Rodríguez, Elisa; Parellada, Mara; Carracedo, Ángel; Fernández-Prieto, Montse – Journal of Cognition and Development, 2022
Dysexecutive syndrome has been consistently reported in children and adolescents with autism spectrum disorders (ASD). Particularly, impairments have been documented in working memory, inhibition, and mental flexibility. However, the relationship between executive impairments and intellectual functioning is far from clear in this population. This…
Descriptors: Executive Function, Intelligence, Children, Adolescents
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Acosta-Prado, Julio César; Zárate-Torres, Rodrigo Arturo; Tafur-Mendoza, Arnold Alejandro – Journal of Intelligence, 2022
Within the organizational field, emotional intelligence is linked to socially competent behaviors, which allow the development of labor and organizational abilities necessary for professional development. Thus, in workers, emotional intelligence is related to a wide range of organizational variables. The purpose of the present study was to…
Descriptors: Psychometrics, Emotional Intelligence, Intelligence Tests, Test Reliability
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Fatih Karatas; Bengü Aksu Ataç – Education and Information Technologies, 2025
The integration of AI into TPACK frameworks is crucial for enhancing teacher readiness in an increasingly technology-driven educational environment. However, a significant gap exists in literature regarding assessing preservice teachers' knowledge on the integration of AI into their pedagogical practices based on the TPACK framework. This study…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Artificial Intelligence, Preservice Teachers
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Tinaye Des Kamukapa; Stellah Lubinga; Tyanai Masiya; Lerato Sono – Teaching Public Administration, 2025
There is an increasing call to include Artificial Intelligence (AI) competencies in academic disciplines such as Public Administration, which are not obviously related to Science, Technology, Engineering and Mathematics (STEM). However, the literature on the integration of AI in non-STEM curricula in South African higher education institutions…
Descriptors: Artificial Intelligence, Public Administration Education, College Curriculum, Undergraduate Study
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Philip Uys; Mike Douse – Educational Planning, 2025
Education is undergoing a fundamental transformation, necessitated and made possible by contemporary technology, notably Artificial Intelligence. Central to this transformation is the realisation that the post primary learners will lead in terms of what each will study, how, where, when and to what purpose. This will entail a refocussed and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Role, Curriculum
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Hatice Yildiz Durak; Figen Egin; Aytug Onan – European Journal of Education, 2025
Generative artificial intelligence (GenAI) models, such as ChatGPT, Gemini, and BingAI, have become integral to educational sciences, bringing about significant transformations in the education system and the processes of knowledge production. These advancements have facilitated new methods of teaching, learning, and information dissemination.…
Descriptors: Writing (Composition), Discussion, Artificial Intelligence, Natural Language Processing
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Hui Liu; Wei Guo – European Journal of Education, 2025
In contemporary music education, innovative technologies, particularly artificial intelligence (AI)-based tools, play a crucial role. The objective of this study was to assess the effectiveness of AI-based tools in enhancing students' success and creativity. The study involved 158 students from a leading music institution, who were divided into…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Performance, Creativity
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Vassa Grichko; Betsy Schamber; Kari Termansen; David Barker; Shanice Hall; David Swank; Erin Lehmann – Impacting Education: Journal on Transforming Professional Practice, 2025
Universal guidelines for AI's use in the context of higher education remains unestablished. Despite this, doctoral students utilized AI to help in forming research ideas and with editing manuscripts. Thereby, the socialization of doctoral students into ethical AI use became imperative. This action research study had faculty and EdD students test…
Descriptors: Artificial Intelligence, Ethics, Guidelines, Doctoral Dissertations
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Chukwuemeka Aloysius Metu; José M. Marbán; Estefanía Espina – Journal of Research and Advances in Mathematics Education, 2025
A growth mindset is the belief that one's intellect and abilities may develop through effort. This mindset suggests that intelligence is not fixed but adaptable. With the continuous growth in literature on the growth mindset in mathematics, there is a need to investigate the current trends from a bibliometric perspective. To meet this need, the…
Descriptors: Bibliometrics, Mathematics Instruction, Mathematics Achievement, Achievement Gap
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