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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
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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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Pardo, Abelardo; Gasevic, Dragan; Jovanovic, Jelena; Dawson, Shane; Mirriahi, Negin – IEEE Transactions on Learning Technologies, 2019
The success of the flipped classroom (FC) is effectively reliant on the level of student engagement with the preparatory activities prior to attending face-to-face teaching sessions. Information about the nature and level of student engagement with these activities can help instructors make informed decisions regarding how to best support student…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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Antonio Perez-Alvarez, Ronald; Maldonado-Mahauad, Jorge; Sharma, Kshitij; Sapunar-Opazo, Diego; Perez-Sanagustin, Mar – IEEE Transactions on Learning Technologies, 2020
Recent research shows that learners who are able to self-regulate their learning show greater levels of engagement with massive open online course (MOOC) content. To improve support for learners in their self-regulatory processes, researchers have proposed technological solutions to transform recorded MOOC data into actionable knowledge. However,…
Descriptors: Self Management, Online Courses, Large Group Instruction, Educational Technology
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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Ibáñez, Maria-Blanca; Di-Serio, Ángela; Delgado-Kloos, Carlos – IEEE Transactions on Learning Technologies, 2014
Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a gamified learning…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Computer Science Education
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Riojas, M.; Lysecky, S.; Rozenblit, J. – IEEE Transactions on Learning Technologies, 2012
Numerous efforts seek to increase awareness, interest, and participation in scientific and technological fields at the precollege level. Studies have shown these students are at a critical age where exposure to engineering and other related fields such as science, mathematics, and technology greatly impact their career goals. A variety of advanced…
Descriptors: Educational Technology, Engineering Education, Engineering, High Schools
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Ruiz-Martinez, A.; Pereniguez-Garcia, F.; Marin-Lopez, R.; Ruiz-Martinez, P. M.; Skarmeta-Gomez, A. F. – IEEE Transactions on Learning Technologies, 2013
In the teaching of computer networks the main problem that arises is the high price and limited number of network devices the students can work with in the laboratories. Nowadays, with virtualization we can overcome this limitation. In this paper, we present a methodology that allows students to learn advanced computer network concepts through…
Descriptors: Computer Networks, Concept Teaching, Science Process Skills, Teaching Methods
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Martinez-Garcia, A.; Morris, S.; Tscholl, M.; Tracy, F.; Carmichael, P. – IEEE Transactions on Learning Technologies, 2012
This paper explores the potential of Semantic Web technologies to support teaching and learning in a variety of higher education settings in which some form of case-based learning is the pedagogy of choice. It draws on the empirical work of a major three year research and development project in the United Kingdom: "Ensemble: Semantic…
Descriptors: Foreign Countries, Program Descriptions, Teaching Methods, Instructional Innovation