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Alvarez, Ronald Perez; Jivet, Ioana; Perez-Sanagustin, Mar; Scheffel, Maren; Verbert, Katrien – IEEE Transactions on Learning Technologies, 2022
Self-regulated learning (SRL) is a crucial higher-order skill required by learners of the 21st century, who will need to become lifelong learners to adapt to the continually changing environments. Literature provides examples of tools for scaffolding SRL in online environments. In this article, we provide the state-of-the-art concerning tools that…
Descriptors: Metacognition, Teaching Methods, Research Reports, Goal Orientation
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
Siu-Cheung Kong; Yin Yang – IEEE Transactions on Learning Technologies, 2024
The advent of generative artificial intelligence (AI) has ignited an increase in discussions about generative AI tools in education. In this study, a human-centered learning and teaching framework that uses generative AI tools for self-regulated learning development through domain knowledge learning was proposed to catalyze changes in educational…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Elementary Secondary Education
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
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Liang, Yuxin; Liu, Guo-Ping – IEEE Transactions on Learning Technologies, 2018
This paper presents a method to design high-quality 3D equipment for virtual laboratories. A virtual control laboratory is designed on large-scale educational purpose with merits of saving expenses for universities and can provide more opportunities for students. The proposed laboratory with more than 30 virtual instruments aims at offering…
Descriptors: Computer Simulation, Computer Software, Laboratory Experiments, Student Attitudes
Ueno, Maomi; Miyazawa, Yoshimitsu – IEEE Transactions on Learning Technologies, 2018
Over the past few decades, many studies conducted in the field of learning science have described that scaffolding plays an important role in human learning. To scaffold a learner efficiently, a teacher should predict how much support a learner must have to complete tasks and then decide the optimal degree of assistance to support the learner's…
Descriptors: Scaffolding (Teaching Technique), Prediction, Probability, Comparative Analysis
Yang, Yang; Leung, Howard; Shum, Hubert P. H.; Li, Jiao; Zeng, Lanling; Aslam, Nauman; Pan, Zhigeng – IEEE Transactions on Learning Technologies, 2018
In this paper, a Chinese character educational system based on Kinect is proposed for guiding beginners to learn the basics of Chinese characters in a more intuitive way. It extracts 19 common components, denoted as alphabets, from Chinese characters. Nineteen postures were designed according to the shapes of these alphabets. Instead of memorizing…
Descriptors: Chinese, Orthographic Symbols, Second Language Learning, Second Language Instruction
Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon – IEEE Transactions on Learning Technologies, 2017
Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…
Descriptors: Clinical Diagnosis, Dyslexia, Visualization, Metacognition
Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu – IEEE Transactions on Learning Technologies, 2017
For this study, we designed learning activities in which students applied newly acquired knowledge to solve meaningful daily life problems in their local community--a real, familiar, and relevant environment for students. For example, students learned about signs and rules in class and then applied this new knowledge to create their own rules for…
Descriptors: English (Second Language), Second Language Learning, Junior High School Students, Dictionaries
Gomez, Jorge E.; Huete, Juan F.; Hernandez, Velssy L. – IEEE Transactions on Learning Technologies, 2016
The dynamics of the world today demands a change in traditional education paradigms to enable the creation of more efficient learning environments, where students will learn more effectively and will play a more active role in their education. They should interact with the knowledge at anytime-anywhere. In order to tackle this problem we should…
Descriptors: Active Learning, Telecommunications, Handheld Devices, Intelligent Tutoring Systems