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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
Joanna Vance – Journal of Faculty Development, 2025
This article explores how Los Angeles Pacific University (LAPU) uses its AI tool, Spark, to enhance student learning. Spark personalizes the learning experience, offers 24/7 tutoring, and fosters collaboration, leading to improved academic performance. The tool complements traditional teaching, providing equitable, accessible support to students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperation, Individualized Instruction
Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Reiss, Michael J. – School Science Review, 2020
School genetics is changing. Nowadays, students are more likely to be introduced to the idea that many characteristics of organisms, including those of humans, are not determined by the actions of just one or two genes but result from interactions between the products of many genes and the environments of each organism. This article asks whether…
Descriptors: Science Instruction, Genetics, Intelligence, Outcomes of Education
William L. Johnson; J. R. Hill; Annabel M. Johnson; Jared W. Johnson – Online Submission, 2025
This presentation was an invited address at the opening session of the 2021 Annual Conference for the Advancement of Science Teaching (CAST) in Ft. Worth, Texas. The presentation will investigate student achievement using three perspectives. The presenters will first ask if one could recognize a great teacher. They will then report research…
Descriptors: Teacher Effectiveness, Teacher Characteristics, Identification, Accuracy
Rick Ginsberg; Yong Zhao – Phi Delta Kappan, 2025
American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…
Descriptors: Literacy, Artificial Intelligence, Computer Software, Academic Achievement
McGrew, Kevin S. – Canadian Journal of School Psychology, 2022
The "Cognitive-Affective-Motivation Model of Learning" (CAMML) is a proposed framework for integrating contemporary motivation, affective (Big 5 personality) and cognitive (CHC theory) constructs in the practice of school psychologists (SPs). The central tenet of this article is that SPs need to integrate motivation alongside affective…
Descriptors: Personality Traits, School Psychology, Student Motivation, Cognitive Ability
Region 17 Comprehensive Center, 2024
The potential of artificial intelligence (AI) is not yet known, but is expected to impact most aspects of our lives and work in the next 20 years. AI will be able to help solve complex problems, help with investment and business development, support medical and health care, and substantially impact the field of education. State education agencies…
Descriptors: Artificial Intelligence, Technology Uses in Education, State Departments of Education, Technology Integration
Hailuo Yu; Bo Wang; Zhifeng Zhang – International Journal of Information and Communication Technology Education, 2023
The quality education goal is a Sustainable Development Goal (SDG) that the United Nations aim to achieve by 2023. While there is still a long way to go to achieve the goal, information and communications technologies (ICT) provide efficient tools to substantially strengthen and accelerate the process. Thus, in this chapter, the authors design an…
Descriptors: Sustainable Development, Information Technology, Internet, Educational Quality
Region 17 Comprehensive Center, 2024
The potential of artificial intelligence (AI) is not yet known, but the technology is expected to impact most aspects of our lives and work in the next 20 years. AI will be able to help solve complex problems, help with investment and business development, support medical and health care, and substantially impact the field of education. State…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, State Departments of Education
Yayoi Watanabe – Journal of Moral Education, 2025
This article introduces current initiatives in moral education and discusses the future direction of its practice. Moral education has recently been designated in the Japanese curriculum as a 'special subject,' prompted by increasing school crises such as bullying. However, practices in moral education instruction lack an evidence-based approach.…
Descriptors: Ethical Instruction, Crisis Management, Prevention, Social Emotional Learning
Wang, Chunpai; Zhao, Siqian; Sahebi, Shaghayegh – International Educational Data Mining Society, 2021
The state of the art knowledge tracing approaches mostly model student knowledge using their performance in assessed learning resource types, such as quizzes, assignments, and exercises, and ignore the non-assessed learning resources. However, many student activities are non-assessed, such as watching video lectures, participating in a discussion…
Descriptors: Models, Knowledge Level, Artificial Intelligence, Computer Uses in Education
Sternberg, Robert J. – Phi Delta Kappan, 2017
IQs increased by about 30 points in the 20th century. Part of this increase may have been the result of increased standardized testing because testing improves the skills on which students are tested. But although these practices may increase general intelligence, they may impede the development of creativity and wisdom. As a result, our society…
Descriptors: Intelligence Quotient, Intelligence Differences, Academic Achievement, Creativity
Region 17 Comprehensive Center, 2024
Goals and policy related to artificial intelligence (AI) will focus on improving learning for each learner. State Education Agencies (SEAs) must determine how to begin the journey to this outcome. The steps in this report outline in depth the first steps SEAs can take to begin development of an AI-related vision and strategic objectives that will…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Policy
Daniel W. J. Anson – Higher Education Research and Development, 2024
Large Language Models have already begun to affect the higher education landscape. However, there is currently a lack of work investigating how these models interface -- and possibly interfere -- with literacy development. Considering literacy is critical because student learning is only made possible through language. This paper considers…
Descriptors: Academic Language, Computational Linguistics, Guidelines, Risk

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