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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
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
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
Brizard, Jean-Claude – Digital Promise, 2023
Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…
Descriptors: Educational Innovation, Educational Technology, Scaling, Student Centered Learning
Caster, Tia – ProQuest LLC, 2022
This mixed-method study seeks to determine the perceptions of teachers and parents of students in personalized learning classes that utilize a learning management system (LMS). The perceptions of student self-efficacy are evaluated based on the teacher and parent interactions and experiences with the students over the course of an academic year.…
Descriptors: Middle School Students, Teacher Attitudes, Middle School Teachers, Parent Attitudes
Janna Pistiner Ostroff – ProQuest LLC, 2021
The study explored the variation in personalized learning within and between Long Island districts. Timely insight into the relationships between technology resources and personalized learning can inform critical fiscal investments throughout the COVID-19 global pandemic and beyond. An electronic survey based on a 2017 RAND Corporation study was…
Descriptors: Individualized Instruction, Educational Technology, Access to Internet, Access to Computers