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Showing 1 to 15 of 39 results Save | Export
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Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
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Rafael Alé-Ruiz; Fernando Martínez-Abad; María Teresa del Moral-Marcos – Education and Information Technologies, 2024
The flexible, changing, and uncertain nature of present-day society requires its citizens have new personal, professional, and social competences which exceed the traditional knowledge-based, academic skills imparted in higher education. This study aims to identify those factors associated with active methodologies that predict university…
Descriptors: Learner Engagement, Individualized Instruction, Active Learning, Higher Education
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Okubo, Fumiya; Shiino, Tetsuya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – IEEE Transactions on Learning Technologies, 2023
In this study, we propose an integrated system to support learners' reviews. In the proposed system, the review dashboard is used to recommend review contents that are adaptive to the individual learner's level of understanding and to present other information that is useful for review. The pages of the digital learning materials that are…
Descriptors: Learning Management Systems, Student Evaluation, Automation, Artificial Intelligence
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Alez Lagos-Castillo; Andrés Chiappe; María-Soledad Ramirez-Montoya; Diego Fernando Becerra Rodríguez – Contemporary Educational Technology, 2025
It may seem that learning platforms and systems are a tired topic for the academic community; however, with the recent advancements in artificial intelligence, they have become relevant to both current and future educational discourse. This systematic literature review explored platforms and software supporting personalized learning processes in…
Descriptors: Technology Uses in Education, Classroom Environment, Individualized Instruction, Technological Advancement
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Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
Language learners' engagement with a specific task is crucial to improving their academic achievement. To enhance student engagement and academic achievement in language learning, personalized language learning (PLL) can be employed to consider individual learning needs. Personalized review learning has emerged to facilitate PLL as a promising…
Descriptors: Individualized Instruction, Second Language Learning, Academic Achievement, Electronic Publishing
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Sarah M. Johnson – Journal of Teaching and Learning with Technology, 2024
Large-enrollment, asynchronous, online courses present significant teaching and learning challenges, particularly in implementing evidence-based practices such as building connections with students and offering personalized support. This Quick Hit explores the use of module conditional release, a feature in learning management systems, which can…
Descriptors: Learner Engagement, Individualized Instruction, Electronic Learning, Asynchronous Communication
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Esmail Mohebbi – Decision Sciences Journal of Innovative Education, 2025
Microsoft Excel and Access are widely used in introductory courses designed to teach the fundamentals of spreadsheet and relational database modeling skills in various disciplines. To achieve the targeted learning outcomes, instructors of these courses strive to provide students with guided, frequent, and incrementally fruitful practice with the…
Descriptors: Teaching Methods, Instructional Effectiveness, Spreadsheets, Computer Simulation
Ethan Prihar; Adam Sales; Neil Heffernan – Grantee Submission, 2023
This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…
Descriptors: Trust (Psychology), Learning Management Systems, Learning Processes, Algorithms
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Claudia M. König; Christin Karrenbauer; Michael H. Breitner – International Journal of Educational Technology in Higher Education, 2024
Increasing student numbers, heterogeneity and individual biographies lead to a growing need for personalized support. To meet these challenges, an Individual Digital Study Assistant (IDSA) provides features to help students improve their self-regulation and organizational skills to achieve individual study goals. Based on qualitative expert…
Descriptors: Foreign Countries, College Students, Individualized Instruction, Learning Management Systems
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Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
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Angelica Sanchez; Kenyetta Martin; Kelly Brown – School Leadership Review, 2025
The purpose of this phenomenological study was to explore the experiences of Early College High School (ECHS) adjunct instructors teaching dual enrollment college courses in a southern region school district. Through interviews with ten ECHS adjunct instructors, the study examined the factors contributing to their success, their professional…
Descriptors: Faculty Development, Beginning Teachers, College Faculty, Adjunct Faculty
Shengyu Jiang; Jiaying Xiao; Chun Wang – Grantee Submission, 2022
An online learning system has the capacity to offer customized content that caters to individual learner's need and has seen growing interest from industry and academia alike in recent years. Different from traditional computerized adaptive testing setting which has a well-calibrated item bank with new items periodically added, online learning…
Descriptors: Item Response Theory, Item Banks, Bayesian Statistics, Learning Management Systems
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Jay Fie Paler Luzano – International Journal of Technology in Education, 2025
Integrating artificial intelligence (AI) technologies into various educational domains has garnered significant attention. Among these technologies, ChatGPT stands out as a powerful tool that holds the potential to revolutionize the landscape of mathematics education. This study aims to explore the emerging trends and critical issues surrounding…
Descriptors: Mathematics Education, Educational Trends, Artificial Intelligence, Technology Uses in Education
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Haruna Abe; Kay Colthorpe; Pedro Isaias – Discover Education, 2025
To improve the online learning experience, adaptive learning technologies are being used to personalise learning content to suit individual learning needs, with learning analytics being integrated to collect data about the student usage behaviour on the platform. Research indicates that the adaptive learning platforms promote a supportive learning…
Descriptors: Physiology, Science Instruction, Instructional Design, Learning Management Systems
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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