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Vandana Onker; Krishna Kumar Singh; Hemraj Shobharam Lamkuche; Sunil Kumar; Vijay Shankar Sharma; Chiranji Lal Chowdhary; Vijay Kumar – Education and Information Technologies, 2025
Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…
Descriptors: Foreign Countries, Artificial Intelligence, Academic Achievement, Grades (Scholastic)
Yonggang Gao; Lu Gan; Kaiyuan Wang – Education and Information Technologies, 2025
This investigation sought to discern the impacts of different electronic note-taking strategies--collaborative, individual, and a hybrid of both--on the academic writing skills of Chinese EFL graduate students. The study engaged 185 participants, systematically assigned to one of four groups: those practicing collaborative electronic note-taking,…
Descriptors: Notetaking, Computer Uses in Education, Collaborative Writing, Writing Skills
Reiner Villena Bernabe – Online Submission, 2025
The Present Levels of Academic Achievement and Functional Performance (PLAAFP) section in Individualized Education Programs (IEPs) is critical for aligning educational goals with students' current capabilities and needs. However, inconsistencies and legal deficiencies in PLAAFP statements persist due to inadequate data collection and fragmented…
Descriptors: Individualized Education Programs, Records (Forms), Feedback (Response), Compliance (Legal)
Yu-Hung Chiang; Yu-Chen Su; Wei-Tsong Wang; Tien-Chi Huang – Journal of Educational Computing Research, 2025
As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…
Descriptors: Business Education, College Students, Foreign Countries, Data
Wenqiang Dai; Qiongyao Liu; Yuemin Gao; Wenjing Liu; Shaojuan Ouyang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional curriculum design methods suffer from issues like outdated content and limited instructional approaches. To address these, this article proposes an optimized curriculum design system that integrates CAD and neural network models. This system enables intelligent curriculum content generation, introduces CAD-assisted instructional…
Descriptors: Curriculum Design, Computer Assisted Design, Artificial Intelligence, Computer Uses in Education
Violeta Rosanda; Ivan Bratko; Mateja Gacnik; Vid Podpecan; Andreja Istenic – British Journal of Educational Technology, 2025
Our research aims to examine the effectiveness of introducing social robots as educational technology within authentic classroom activities without modifying them to be designed for a robot. We chose as test subject the fifth-grade curricular topic "The role of technology and its impact on society", meeting the critical stage of moral…
Descriptors: Elementary School Curriculum, Elementary School Students, Elementary School Teachers, Artificial Intelligence
Ajeka Friday; Musibau Shofoluwe – International Journal of Technology in Education and Science, 2025
Social media networking has become an integral part of communication today, with widespread usage across various demographics. This study was conducted to investigate the impact of social media on student academic performance, recognizing its prevalence and influence in educational settings. A random sample of 1,692 students was selected to…
Descriptors: Social Media, Academic Achievement, College Students, Predictor Variables