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Paz-Baruch, Nurit – High Ability Studies, 2020
The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…
Descriptors: Academic Ability, Predictor Variables, Intelligence, Academic Achievement
Güler, Bahar; Turan, Serhat – Journal of Educational Issues, 2022
The aim of the research is to determine how much peer relationships are explained by emotional intelligence in adolescents. For this purpose, 539 (283 female+256 male) adolescent individuals participated in the study. "Personal Information Form", "Trait Emotional Intelligence-Adolescent Questionnaire Short Form (TEIQue-ASF)"…
Descriptors: Emotional Intelligence, Peer Relationship, Predictor Variables, Adolescents
Cristina de-la-Peña – Journal of New Approaches in Educational Research, 2024
Reading comprehension is a fundamental skill to be developed from the early stages of reading acquisition and it is essential for both formative and personal learning. This study examines eye-tracking as a useful and complementary tool in the assessment and improvement of implicit reading comprehension. The aim is to understand the role of…
Descriptors: Foreign Countries, Verbal Ability, Intelligence Tests, Vocabulary
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Zhengze Li; Hui Chen; Xin Gao – Education and Information Technologies, 2024
Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…
Descriptors: Predictor Variables, Elementary School Students, Electronic Learning, Supplementary Education
Lisa M. Bowers; Samantha Robinson; Madilyn Metcalf – Communication Disorders Quarterly, 2024
Income-based childcare programs provide children access to developmentally appropriate and vocabulary-rich literacy experiences. For this study, participating U.S. Head Start Centers requested families complete a weekly home literacy log to encourage vocabulary-rich shared book reading activities in the home. Using participant characteristics,…
Descriptors: Federal Programs, Low Income Students, Social Services, Preschool Children
Kyosuke Takami; Brendan Flanagan; Yiling Dai; Hiroaki Ogata – International Journal of Distance Education Technologies, 2024
Explainable recommendation, which provides an explanation about why a quiz is recommended, helps to improve transparency, persuasiveness, and trustworthiness. However, little research examined the effectiveness of the explainable recommender, especially on academic performance. To survey its effectiveness, the authors evaluate the math academic…
Descriptors: Bayesian Statistics, Epistemology, Mathematics Achievement, Artificial Intelligence
Anja Strobel; Alexander Strobel; Franzis Preckel; Ricarda Steinmayr – AERA Open, 2024
While intelligence and motivational variables are well-established predictors of academic achievement, Need for Cognition (NFC), the stable intrinsic motivation to engage in and enjoy challenging intellectual activity, has not yet been considered comprehensively in this field, especially not longitudinally. By applying latent change score…
Descriptors: Academic Achievement, Self Concept, Learning Motivation, Cognitive Processes
Wenyi Lu; Joseph Griffin; Troy D. Sadler; James Laffey; Sean P. Goggins – Journal of Learning Analytics, 2025
Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…
Descriptors: Game Based Learning, Predictor Variables, Evaluation Methods, Educational Games
Giulio Marchena Sekli; May Portuguez-Castro – Education and Information Technologies, 2025
This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore…
Descriptors: Entrepreneurship, Success, Artificial Intelligence, Technology Uses in Education
Xiaoming Cao; Zhuo Huang; Junchen Wu; Mingzhu Li; Tao He – Education and Information Technologies, 2025
Cyberbullying has garnered growing attention, yet existing research lacks nuanced insights into the dynamics of students' cyberbullying profiles and the associated risk factors across multiple domains. This study aims to (1) investigate K-12 students' cyberbullying profiles, (2) develop an AI predictive model for cyberbullying roles, and (3)…
Descriptors: Bullying, Computer Mediated Communication, Victims, Artificial Intelligence
Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
Nursalim, Mochamad; Saroinsong, Wulan P.; Boonroungrut, Chinun; Wagino; Costa, Augusto da – Psychology in the Schools, 2023
The global health emergency, COVID-19, significantly influenced schooling in Indonesia. Students employed a variety of coping mechanisms to cope with unusual stress levels during confinement time. Hence, as students' COVID-19 resilience, investigation, and prevention were required for high and chronic stress connected with various disorders. This…
Descriptors: Prediction, COVID-19, Pandemics, Resilience (Psychology)
Zanellati, Andrea; Macauda, Anita; Panciroli, Chiara; Gabbrielli, Maurizio – Research on Education and Media, 2023
Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Algorithms
Wang, Yi; King, Ronnel; Haw, Joseph; Leung, Shing on – Journal for the Study of Education and Development, 2023
Although Macau students have consistently been recognized as top performers in international assessments, little research has been conducted to explore the various factors that are associated with their achievement. This paper aimed to identify factors that could best predict Macau students' reading achievement using PISA 2018 data provided by…
Descriptors: Foreign Countries, High School Students, Reading Achievement, Predictor Variables

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