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Suthinanth Rattanachotithavorn; Pattarawat Jeerapattanatorn – Journal of Education and Learning, 2025
This review article examines the emerging trends in business education to address the rapidly evolving demands of a global, technology-driven economy. The study systematically analyzed 64 research articles from academic databases, of which 28 high-quality studies met the inclusion criteria based on their direct relevance to business education and…
Descriptors: Business Education, Educational Trends, Educational Research, Artificial Intelligence
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Li, Kam Cheong; Wong, Billy Tak-ming – Journal of Computing in Higher Education, 2023
This paper reports a comprehensive review of literature on personalised learning in STEM and STEAM (or STE(A)M) education, which involves the disciplinary integration of Science, Technology, Engineering, and Mathematics, as well as Arts. The review covered the contexts of STE(A)M education where personalised learning was adopted, the objectives of…
Descriptors: Individualized Instruction, STEM Education, Art Education, Educational Objectives
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Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Luan, Hui; Tsai, Chin-Chung – Educational Technology & Society, 2021
In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI technique, machine learning is viewed as an important means to realize it. In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed…
Descriptors: Artificial Intelligence, Individualized Instruction, Individual Differences, Educational Trends
Tai Trong Bui; Son Truong Nguyen – Online Submission, 2023
This study addresses a gap in the literature regarding the implementation of digital strategies in educational institutions, particularly universities. Despite significant advancements in the development of digital strategies, there remains a lack of commitment and vision for their effective implementation. This study systematically reviewed the…
Descriptors: Meta Analysis, Educational Change, Teaching Methods, Learning Processes
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Van Laer, Stijn; Elen, Jan – Education and Information Technologies, 2017
Blended forms of learning have become increasingly popular. Learning activities within these environments are supported by a large variety of online and face-to-face interventions. However, it remains unclear whether these blended environments are successful, and if they are, what makes them successful. Studies suggest that blended learning…
Descriptors: Blended Learning, Self Management, Educational Research, Individualized Instruction
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Brodersen, R. Marc; Melluzzo, Daniel – Regional Educational Laboratory Central, 2017
This report summarizes the methodology, measures, and findings of research on the influence on student achievement outcomes of K-12 online and blended face-to-face and online learning programs that offer differentiated learning options. The report also describes the characteristics of the learning programs. Most of the examined programs used…
Descriptors: Educational Research, Electronic Learning, Blended Learning, Individualized Instruction