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Showing 1 to 15 of 124 results Save | Export
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Emily Theophilou; Rene Lobo-Quintero; Davinia Hernandez-Leo; Roberto Sanchez-Reina; Dimitri Ognibene – IEEE Transactions on Learning Technologies, 2024
The impact of social media on teens' mental health and development raises the need for educational interventions that equip them with the knowledge and skills to cope with dangerous situations. In spite of the growing effort to expand social media literacy among youngsters, social media interventions still rely on conventional methods that tend to…
Descriptors: Social Media, Social Emotional Learning, Longitudinal Studies, High School Students
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Shadiev, Rustam; Liu, Jiawen; Cheng, Pei-Yu – IEEE Transactions on Learning Technologies, 2023
In traditional English as a foreign language (EFL) speaking classes, students have insufficient time and opportunities to practice (Zhan et al., 2015). In addition, they lack cultural and communicative contexts (Ko et al., 2021) to improve their speaking skills. Furthermore, a large number of students, especially in Asian countries, have low…
Descriptors: Electronic Learning, Handheld Devices, Second Language Learning, English (Second Language)
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Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
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Lee, Sangmin-Michelle – IEEE Transactions on Learning Technologies, 2023
EFL students often struggle with second language (L2) learning, particularly because they learn L2 out of context, which they find unmeaningful and demotivating. To provide a meaningful context for L2 learning and make learning more interesting, the present study utilized a customizable metaverse platform. First, we developed a scenario of a rose…
Descriptors: Second Language Learning, English (Second Language), Computer Simulation, Technology Uses in Education
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Marc Burchart; Joerg M. Haake – IEEE Transactions on Learning Technologies, 2024
In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for…
Descriptors: Writing Instruction, Distance Education, Large Group Instruction, Learning Management Systems
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Han, Feifei; Ellis, Robert A.; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2022
This article uses digital traces to help identify students' online learning strategies by making a clear distinction between the descriptive features (the proportional distribution of students' different online learning actions) and quantitative aspects (the total number of the online learning sessions), a distinction that has not been properly…
Descriptors: Electronic Learning, Learning Strategies, Student Behavior, Educational Environment
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Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
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Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
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Reyssier, Stephanie; Hallifax, Stuart; Serna, Audrey; Marty, Jean-Charles; Simonian, Stephane; Lavoue, Elise – IEEE Transactions on Learning Technologies, 2022
Several studies have been conducted in recent years into the effects of gamification on learner motivation. However, little is known about how learner profiles affect the impact of specific game elements. This article analyzes the effect of a gamified mathematic learning environment on the motivation and the motivated behaviors of 258 learners in…
Descriptors: Game Based Learning, Learning Motivation, Profiles, Mathematics Education
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Ka-Yan Fung; Kwong-Chiu Fung; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2025
Mastering the visually complex characters of the Chinese language poses significant challenges for students. The situation is even worse in Hong Kong, where students with different backgrounds, including students with/without dyslexia and non-Chinese speaking (NCS) students, are placed in the same class. Interactive design has been proven…
Descriptors: Foreign Countries, Learning Motivation, Native Language Instruction, Mandarin Chinese
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Elizabeth Koh; Lishan Zhang; Alwyn Vwen Yen Lee; Hongye Wang – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning applications. This article examines the word cloud, a toolkit often used to scaffold teaching and learning for reflection, critical thinking, and content learning. Addressing the issues in traditional word clouds, semantic word clouds have been…
Descriptors: Vocabulary, Visual Aids, Electronic Publishing, Word Frequency
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Abdallah Al-Zoubi; Elio San Cristobal; Fadi R. Shahroury; Manuel Castro – IEEE Transactions on Learning Technologies, 2024
In the ever-evolving landscape of technology, Industry 4.0 stands as a monumental revolution that intertwines man and machine, reshaping the dynamics of labor and work environments. This paradigm shift demands a new outlook and necessitates a fresh set of skills and competencies to navigate the intricate web of advancements. From engineers to…
Descriptors: Foreign Countries, Job Skills, Technological Literacy, Distance Education
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Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2019
Collaboration is an increasingly important and difficult skill for graduate engineers to develop. While universities provide some measures of collaboration ability of students on graduation, there is still some dissatisfaction with the level of preparedness of students for collaborative activity in the workplace. This paper presents a case study…
Descriptors: Engineering Education, College Freshmen, Blended Learning, Cooperation
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Lien, Wan-Ching; Lin, Phone; Chen, Hong-Wun; Chang, Herman Chih-Heng; Lee, Chia-Peng – IEEE Transactions on Learning Technologies, 2020
Recently, ultrasound has been increasingly used in emergency departments (EDs) due to its promising noninvasive and portable characteristics. Traditional ultrasound training is a complex process that requires knowledge gain, development of psychomotor skills, and visual perception. However, it usually takes a long time for a novice sonographer to…
Descriptors: Electronic Learning, Handheld Devices, Allied Health Occupations Education, Foreign Countries
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Fincham, Ed; Gasevic, Dragan; Jovanovic, Jelena; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2019
Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature that has extracted invaluable information from such sources, it suffers from a number of shortcomings. For instance, it has been shown that surveys often provide insight into students' perceptions about learning rather…
Descriptors: Study Habits, Learning Strategies, Independent Study, Educational Research
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