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Hao Zhang; Shihan Chen; Sen Zheng – Education and Information Technologies, 2025
Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…
Descriptors: Personality Traits, Assertiveness, Interaction, Distance Education
Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
Jennifer Spiegel; Joshua Clements – Critical Questions in Education, 2024
Personalized learning (PL) is not new, but it has morphed and re-emerged as an approach that might re-engage today's students in the classroom and better prepare them for college and careers in the 21st century. Amid this re-emergence of personalization is the implementation of new technologies in the classroom. While technology may offer…
Descriptors: Individualized Instruction, Service Learning, Educational Technology, Classroom Environment
Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills
Huaiya Liu; Yuyue Zhang; Jiyou Jia – IEEE Transactions on Learning Technologies, 2024
Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…
Descriptors: Intelligent Tutoring Systems, Mathematics Achievement, Individualized Instruction, Foreign Countries
Ishmatul Maula; Toto Nusantara; I Made Sulandra; Sisworo – Mathematics Teaching Research Journal, 2024
This research aims to describe the mathematical problems posed by prospective elementary school pre-service teachers in differentiated learning. This research uses a qualitative approach and uses problem-posing tasks and interviews as tools for collecting data. In the problem-posing task, information on learning conditions is provided, which…
Descriptors: Mathematics Skills, Problem Solving, Individualized Instruction, Mathematics Instruction
Kangwa Daniel; Msafiri Mgambi Msambwa; Zhang Wen – European Journal of Education, 2025
This systematic review investigates the impact of generative artificial intelligence (GenAI) tools on developing academic skills in higher education. Analysing 158 studies published between 2021 and 2024, it focuses on the impact of GenAI tools on the development of cognitive, technical and interpersonal skills. The results reveal that 94% of the…
Descriptors: Artificial Intelligence, Academic Ability, Academic Achievement, Skill Development
Georgina Maria Tinungki; Powell Gian Hartono; Budi Nurwahyu; Anna Islamiyati; Robiyanto Robiyanto; Agus Budi Hartono; Muhammad Yaasiin Raya – Cogent Education, 2024
Self-proficiency, distinct from self-efficacy, is a more comprehensive dimension in assessing students' abilities. Moreover, the TAI cooperative learning model is believed to be relevant in enhancing self-proficiency, as well as other mathematical ability dimensions, particularly in Statistics course. Therefore, this study aimed to assess the…
Descriptors: Foreign Countries, Undergraduate Students, Statistics Education, Mathematics Instruction
Aimee Lintner – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of the case study was to understand the use of technology, particularly AI, for public middle school teachers in Michigan for critical thinking and problem-solving skills among students. The theory that guided this study was the constructivist theory. The constructivist learning theory involves people learning from their experiences…
Descriptors: Critical Thinking, Artificial Intelligence, Middle School Students, Public Schools
Mingyu Feng; Natalie Brezack; Chunwei Huang; Melissa Lee; Megan Schneider; Kelly Collins; Wynnie Chan – Society for Research on Educational Effectiveness, 2024
Background/Context: Math education remains a critical focus for national education improvement. As a solution, districts in the U.S. are investing in math education technologies. Research has demonstrated the potential of these technologies to close achievement gaps (e.g., Pape et al., 2012; Roschelle et al., 2016). Student math achievement is…
Descriptors: Mathematics Education, Problem Solving, Educational Technology, Technology Uses in Education
Nachamma Sockalingam; Kenneth Lo; Judy Teo; Cheah Chin Wei; Danny Chow Jiun Jiet; Dorien Herremans; Melvin Lee Ming Jun; Oka Kurniawan; Yixiao Wang; Pey Kin Leong – Discover Education, 2025
Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…
Descriptors: Educational Trends, Educational Innovation, Educational Practices, Teaching Methods
Viktor Wang, Editor – IGI Global, 2025
Artificial Intelligence (AI) integration in andragogical education offers significant enhancements to the learning experience for adult learners. By utilizing AI-powered platforms, instructors can provide personalized learning paths that adapt to the unique needs, interests, and goals of each individual. These systems can analyze performance data…
Descriptors: Andragogy, Artificial Intelligence, Computer Software, Technology Integration
Amr M. Mohamed; Tahany S. Shaaban; Hassen Alazhar Jmaiel – Journal of Attention Disorders, 2024
Objective: The purpose of this study was to examine the perspectives of English as a Foreign Language Special Education teachers (EFLSE) regarding game-based learning approaches for addressing behavioral disorders in ADHD patients. Method: The study involved a sample (n = 131) of EFLSE teachers who completed a questionnaire to determine how…
Descriptors: Special Education Teachers, English (Second Language), Teacher Attitudes, Game Based Learning