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Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Paquette, Gilbert; Marino, Olga; Bejaoui, Rim – Smart Learning Environments, 2021
Competency is a central concept for human resource management, training and education. We define a competency as the capacity of a person to display a generic skill with a certain level of performance when applied to one or more knowledge entities. Competencies, and competency referentials grouping competencies, are essential elements for user…
Descriptors: Competence, Individualized Instruction, Technology Uses in Education, Philosophy
Baginda Anggun Nan Cenka; Harry B. Santoso; Kasiyah Junus – Interactive Learning Environments, 2023
Presently, learning is more flexible, personal and has richer learning resources. In the digital era, students use digital tools in almost all aspects of learning, such as seeking information, note-taking, discussion and communication, which is in line with personal learning environments. Therefore, this study proposes a conceptual model of the…
Descriptors: Educational Environment, Lifelong Learning, Educational Resources, Electronic Learning
Gilson, Cindy M.; Lee, Lindsay E. – Gifted Child Today, 2023
Educators have the responsibility to meet the academic, social, and emotional needs of every child in their care, including students who are gifted or high-achieving from diverse backgrounds. For gifted students to thrive in the differentiated classroom, teachers can consider the ways in which they establish and promote positive affective,…
Descriptors: Gifted, Academically Gifted, Student Diversity, Educational Environment
Tracy Bobko; Mikiko Corsette; Minjuan Wang; Erin Springer – IEEE Transactions on Learning Technologies, 2024
This article discusses the transformative impact of technology on knowledge acquisition and sharing, focusing on the emergence of the metaverse as a virtual community with vast potential for virtual learning. Learning in the metaverse is found to enhance engagement, motivation, and retention, while fostering 21st-century skills. It also offers…
Descriptors: Educational Innovation, Computer Simulation, Technology Uses in Education, Models
Nahum, Jacob – Journal of Education and Learning, 2022
The social, economic and technological changes of the 21st century have increased the awareness of teachers and educational researchers of the importance of a relevant and interesting learning environment, collaborative learning, personalization and values in education. However, most of the currently available programs focus on only one of these…
Descriptors: 21st Century Skills, Cooperative Learning, Educational Environment, Models
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
Thapliyal, Monika; Ahuja, Neelu Jyothi; Shankar, Achyut; Cheng, Xiaochun; Kumar, Manoj – Journal of Computing in Higher Education, 2022
This paper presents the ontological design and implementation of the differentiated learning environment in the domain model of an intelligent tutoring system for children with specific learning disabilities. It addresses the learners need for differentiated instruction in a preferential learning environment. The proposed model helps to identify…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Students with Disabilities, Learning Disabilities
Jennifer L. Kassimer – ProQuest LLC, 2022
Using a learning management system (LMS) to deliver robust content for K-12 students became an essential part of the discussion of technology's place in K-12 education when teachers were forced to teach online at the start of the COVID-19 pandemic. Teachers used an LMS to deliver content in various ways and as part of different instructional…
Descriptors: Coaching (Performance), Models, Active Learning, Educational Environment
Babette Moeller; Teresa Duncan; Jason Schoeneberger; John Hitchcock; Matthew McLeod – Grantee Submission, 2022
Teacher quality, along with the school context, classroom practice, and student mathematics achievement, are the key components in Clarke and Hollingsworth's (2002) model that depicts teachers' professional growth as an ongoing, dynamic, and interactive enterprise. Comfort and preparedness are dispositions that, along with teacher knowledge, are…
Descriptors: Equal Education, Access to Education, Mathematics Instruction, Faculty Development
Tomlinson, Carol Ann – Educational Leadership, 2017
The concept of personalization in learning appeals to many K-12 teachers and students weary of regimented, one-size-fits-all instruction. The in-vogue term personalization is used to refer to many different learning strategies and structures--from personal learning plans to greater student voice. Differentiation expert Carol Ann Tomlinson is…
Descriptors: Individualized Instruction, Program Implementation, Educational Change, Educational Benefits
Çetinkaya, Murat – International Journal of Evaluation and Research in Education, 2016
Positive results of science teaching studies supported with the means provided by technology require the enrichment of the content of blended learning environments to provide more benefits. Within this context, it is thought that preparing a web-assisted model-based teaching, which is frequently used in science teaching, based on the "Matter…
Descriptors: Instructional Design, Individualized Instruction, Blended Learning, Web Based Instruction
Waldrip, Bruce; Yu, Jeong Jin; Prain, Vaughan – Learning Environments Research, 2016
This article focuses on a Personalised Learning model which has 19 scales that were used to evaluate regional students' perceptions of their readiness to learn, assessment processes, engagement, extent to which their learning is personalised and their associations with academic efficacy, academic achievement and student well-being. The data came…
Descriptors: Individualized Instruction, Student Attitudes, Well Being, Academic Achievement
Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring