Publication Date
In 2025 | 0 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 14 |
Descriptor
Source
IEEE Transactions on Learning… | 14 |
Author
Baowen Zou | 1 |
Bosnic, I. | 1 |
Cabielles-Hernandez, David | 1 |
Celeda, Pavel | 1 |
Changqin Huang | 1 |
Chen, Xiao | 1 |
Cohen, Anat | 1 |
Cortes, Marta | 1 |
Drachsler, H. | 1 |
Duval, E. | 1 |
Enhong Chen | 1 |
More ▼ |
Publication Type
Journal Articles | 14 |
Reports - Research | 10 |
Reports - Evaluative | 3 |
Reports - Descriptive | 1 |
Education Level
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 4 | 1 |
Grade 6 | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Location
Netherlands | 1 |
Spain | 1 |
Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Sohum M. Bhatt; Wim Van Den Noortgate; Katrien Verbert – IEEE Transactions on Learning Technologies, 2024
Recommender systems are increasingly being used in university or online education. However, recommender systems still have not found major usage in K12 education. This may be because of the unique challenges that recommender systems face when used by a young and diverse population. However, recommender systems for K12 education could provide many…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Educational Technology, Learning
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
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
Lixiang Xu; Zhanlong Wang; Suojuan Zhang; Xin Yuan; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive learning environments for personalized education. Despite utilizing deep learning models in KT, current approaches often oversimplify students' exercise records into knowledge sequences, which fail to explore the rich…
Descriptors: Knowledge Level, Educational Technology, Intelligent Tutoring Systems, Individualized Instruction
Vykopal, Jan; Seda, Pavel; Svabensky, Valdemar; Celeda, Pavel – IEEE Transactions on Learning Technologies, 2023
Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical laboratories, provide students with real-world computer systems but rarely adapt the learning environment to individual students of various proficiency and…
Descriptors: Students, Educational Technology, Computer Assisted Instruction, Media Adaptation
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
Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
Keuning, Trynke; van Geel, Marieke – IEEE Transactions on Learning Technologies, 2021
Although many schools in the Netherlands have purchased adaptive learning systems (ALSs) to reduce workload and improve differentiated instruction, the use of ALSs with teacher dashboards in the classroom does not in itself necessarily improve differentiated instruction. The question is, what skills and knowledge do teachers need to provide…
Descriptors: Foreign Countries, Individualized Instruction, Integrated Learning Systems, Educational Technology
Xizhe Wang; Yihua Zhong; Changqin Huang; Xiaodi Huang – IEEE Transactions on Learning Technologies, 2024
Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Synchronous Communication
Hu, Jie; Peng, Yi; Chen, Xiao – IEEE Transactions on Learning Technologies, 2023
The prevalence of information and communication technologies (ICTs) has brought about profound changes in the field of reading, resulting in a large and rapidly growing number of young digital readers. The article intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and…
Descriptors: Decoding (Reading), Educational Technology, Information Technology, Reading Skills
Gilman, Ekaterina; Milara, Iván Sánchez; Cortes, Marta; Riekki, Jukka – IEEE Transactions on Learning Technologies, 2015
New technologies enable novel types of learning activities that differ radically from traditional approach of visiting lectures and doing homework assignments. Namely, these technologies support transforming our everyday environments into learning environments. This concept is referred to in the literature as ubiquitous learning. Enriching…
Descriptors: Electronic Learning, Educational Technology, State of the Art Reviews, Learning Activities
Yao, Ching-Bang – IEEE Transactions on Learning Technologies, 2017
Although m-learning applications have been widely researched, few studies have investigated applying adaptive learning content to various learning environments and efficient input interfaces. This study combined a context-aware mechanism, which can be used to provide suitable learning information anytime and anyplace by using GPS technology, with…
Descriptors: Electronic Learning, Educational Technology, Usability, Individualized Instruction
Cabielles-Hernandez, David; Pérez-Pérez, Juan-Ramón; Paule-Ruiz, MPuerto; Fernández-Fernández, Samuel – IEEE Transactions on Learning Technologies, 2017
New possibilities offered by mobile devices for special education students have led to the design of skill acquisition software applications. Advances in mobile technologies development have made progress possible in helping teachers with autistic students modelling and evaluation. "Chain of Words" theoretical basis is the autism…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Communication Strategies
Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E. – IEEE Transactions on Learning Technologies, 2012
Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…
Descriptors: Technology Uses in Education, Individualized Instruction, Electronic Learning, Educational Technology