NotesFAQContact Us
Collection
Advanced
Search Tips
Source
IEEE Transactions on Learning…31
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 31 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Seunghan Lee; Amar Sadanand Shetty; Lora A. Cavuoto – IEEE Transactions on Learning Technologies, 2024
Recent usage of virtual reality (VR) technology in surgical training has emerged because of its cost-effectiveness, time savings, and cognition-based feedback generation. However, the quantitative evaluation of its effectiveness in training is still not thoroughly studied. This article demonstrates the effectiveness of a VR-based surgical training…
Descriptors: Markov Processes, Computer Simulation, Teaching Methods, Surgery
Peer reviewed Peer reviewed
Direct linkDirect link
Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jian-Wei; Koong Lin, Hao-Chiang; Chen, Hong-Ren – IEEE Transactions on Learning Technologies, 2022
Conventional e-learning platforms require a high self-regulatory learning (SRL) ability to ensure learning effectiveness. However, because not everyone has high autonomy and a high SRL ability, many students quit during the online learning period. To enhance the SRL ability, many studies have developed e-learning platforms based on Zimmerman's SRL…
Descriptors: Metacognition, Role Models, Learning Strategies, Personal Autonomy
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Che, Xiaoyin; Yang, Haojin; Meinel, Christoph – IEEE Transactions on Learning Technologies, 2018
Textbook highlighting is widely considered to be beneficial for students. In this paper, we propose a comprehensive solution to highlight the online lecture videos in both sentence- and segment-level, just as is done with paper books. The solution is based on automatic analysis of multimedia lecture materials, such as speeches, transcripts, and…
Descriptors: Online Courses, Comparative Analysis, Lecture Method, Multimedia Materials
Peer reviewed Peer reviewed
Direct linkDirect link
Ting-Chia Hsu; Ching Chang; Yi-Sian Liang – IEEE Transactions on Learning Technologies, 2024
The study explored the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment was conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…
Descriptors: Game Based Learning, Elementary School Students, Comparative Analysis, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Albo, Laia; Hernandez-Leo, Davinia – IEEE Transactions on Learning Technologies, 2021
This article presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using Usability Metric for User Experience questionnaire, analyses of participant…
Descriptors: Programming, Blended Learning, Teaching Methods, Instructional Design
Peer reviewed Peer reviewed
Direct linkDirect link
Cárdenas-Cobo, Jesennia; Puris, Amilkar; Novoa-Hernández, Pavel; Galindo, José Angel; Benavides, David – IEEE Transactions on Learning Technologies, 2020
Learning computer programming is a challenging process. Among the current approaches for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have shown very promising results for beginners. Interestingly, some higher education institutions have started to use VPLs to introduce basic programming concepts, mainly in CS1…
Descriptors: Computer Science Education, Programming, Programming Languages, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Whitehill, Jacob; Movellan, Javier – IEEE Transactions on Learning Technologies, 2018
We propose a method of generating teaching policies for use in intelligent tutoring systems (ITS) for concept learning tasks [1], e.g., teaching students the meanings of words by showing images that exemplify their meanings à la Rosetta Stone [2] and Duo Lingo [3]. The approach is grounded in control theory and capitalizes on recent work by [4],…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Educational Policy, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Shimada, Atsushi; Okubo, Fumiya; Yin, Chengjiu; Ogata, Hiroaki – IEEE Transactions on Learning Technologies, 2018
This paper is an extension of research originally reported in [1]. Here, we propose a novel method for summarizing lecture slides to enhance students' preview efficiency and understanding of the content. Students are often asked to prepare for a class by reading lecture materials. However, because the attention span of students is limited, this is…
Descriptors: Lecture Method, Student Surveys, Tests, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Hwang, Wu-Yuin; Purba, Siska Wati Dewi; Liu, Yi-Fan; Zhang, Yun-Yuan; Chen, Nian-Shing – IEEE Transactions on Learning Technologies, 2019
Geometry students have few opportunities to apply geometric concepts and solve geometry problems in authentic contexts. We developed a Ubiquitous Geometry (UG) system to teach geometry to elementary students by using it to measure common objects in authentic contexts. The instant study investigates the effects of UG on student geometry estimation…
Descriptors: Geometry, Geometric Concepts, Comparative Analysis, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ming; Rus, Vasile; Liu, Li – IEEE Transactions on Learning Technologies, 2018
Automatic question generation can help teachers to save the time necessary for constructing examination papers. Several approaches were proposed to automatically generate multiple-choice questions for vocabulary assessment or grammar exercises. However, most of these studies focused on generating questions in English with a certain similarity…
Descriptors: Multiple Choice Tests, Regression (Statistics), Test Items, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Looi, Chee-Kit; Sun, Daner; Xie, Wenting – IEEE Transactions on Learning Technologies, 2015
The research literature reports on designs of ubiquitous and seamless learning environments enabled by the integration of mobile technology into learning. However, the lack of good pedagogical designs that provide for sustainability and the inadequate investigation of learning outcomes remain major gaps in the current studies on mobile learning.…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Previous Page | Next Page »
Pages: 1  |  2  |  3