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Huang, Tao; Hu, Shengze; Yang, Huali; Geng, Jing; Liu, Sannyuya; Zhang, Hao; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…
Descriptors: Educational Technology, Prediction, Electronic Learning, Intelligent Tutoring Systems
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
Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Smart Learning Environments, 2022
Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…
Descriptors: Individualized Instruction, Technology Uses in Education, Electronic Learning, Mathematics
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Linlin Hu – Asia Pacific Education Review, 2024
Differentiated instruction (DI) is a beneficial approach to addressing students' diverse learning needs, abilities, and interests to ensure that each student has the opportunity to make academic progress. To answer the question of how teachers utilize DI in K-12 classrooms, this systematic review was based on 61 empirical studies on DI published…
Descriptors: Individualized Instruction, Elementary Secondary Education, Educational Trends, Elementary School Mathematics
Elizabeth B. Harkey; Angela T. Barlow; Victoria Groves-Scott – Mathematics Teacher: Learning and Teaching PK-12, 2023
Many teachers reported improved skills in using technology as a direct result of teaching virtually during the pandemic (Bushweller, 2020). The authors wondered which uses of technology would continue as teachers transitioned back into face-to-face classrooms. Recognizing that mere incorporation of technology into instruction does not guarantee…
Descriptors: Educational Technology, Mathematics Instruction, Technology Uses in Education, Models
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
Hernandez Cardenas, Lizette Susana; Castano, Leticia; Cruz Guzman, Cristina; Nigenda Alvarez, Juan Pablo – Australasian Journal of Educational Technology, 2022
This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…
Descriptors: Foreign Countries, Knowledge Level, Medical Schools, Health Sciences
Maussumbayev, Rysbek; Toleubekova, Rymshash; Kaziyev, Karas; Baibaktina, Axaule; Bekbauova, Altynshash – Education and Information Technologies, 2022
The aim of this article is to theoretically and practically justify the development of a future social pedagogue's research capacity in the context of digital technologies. Practical implementation of a model for building social pedagogues' research capacity within the framework of an online educational course can provide effective training of…
Descriptors: Educational Research, Educational Technology, Capacity Building, Online Courses
Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing – Education and Information Technologies, 2018
Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…
Descriptors: Electronic Learning, Educational Technology, Context Effect, Models
Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
Buch, Bettina; Christiansen, Rene B.; Hansen, Dorrit; Petersen, Anne Kristine; Sørensen, Randi Skovbjerg – Universal Journal of Educational Research, 2018
Designing teaching in an era of educational technology calls for new models for designing learning opportunities. The 7Cs framework developed by Professor Gráinne Conole and her colleagues provides a tool for discussing learning designs for online learning environments. In this paper, we introduce the 7Cs framework put forward by Conole and…
Descriptors: Online Courses, Blended Learning, Educational Technology, Individualized Instruction
Ottenbreit-Leftwich, Anne; Liao, Yin-Chan; Karlin, Michael; Lu, Ya-Huei; Ding, Ai-Chu Elisha; Guo, Meize – Journal of Digital Learning in Teacher Education, 2020
This multiple case study describes a year-long implementation of a research-based coaching model designed to support changes in elementary teachers' technology integration practices. We examined coaches' perceptions of the model through the use of coaches' questionnaires, reflection notes, and meeting notes. Teachers' coaching experiences were…
Descriptors: Coaching (Performance), Faculty Development, Elementary School Teachers, Evidence Based Practice