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Ilkou, Eleni; Tolmachova, Tetiana; Fisichella, Marco; Taibi, Davide – IEEE Transactions on Learning Technologies, 2023
Currently, the search history in search engines is presented in a list view of some combination of enumerated results by title, URL, or search query. However, this classical list view is not ideal in collaborative search environments as it does not always assist users in understanding collaborators' search history results and the project's status.…
Descriptors: Graphs, Cooperative Learning, Search Strategies, Active Learning
Qiyun Wang; Qian Huang – IEEE Transactions on Learning Technologies, 2024
Blended synchronous learning enables online learners to participate in class activities from geographically separated sites. Due to various challenges, however, online learners are often harder to be engaged and their engagement levels are lower than that of classroom counterparts. This review summarized and synthesized the challenges that led to…
Descriptors: Journal Articles, Blended Learning, Synchronous Communication, Barriers
Sohail Ahmed Soomro; Halar Haleem; Bertrand Schneider; Georgi V. Georgiev – IEEE Transactions on Learning Technologies, 2025
This study presents a monocular approach for capturing students' prototyping activities and interactions in digital-fabrication-based makerspaces. The proposed method uses images from a single camera and applies object reidentification, tracking, and depth estimation algorithms to track and uniquely label participants in the space, extracting both…
Descriptors: Learning Activities, Shared Resources and Services, Manufacturing, Photography
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
Maiti, Ananda; Raza, Ali; Kang, Byeong Ho – IEEE Transactions on Learning Technologies, 2021
The Internet-of-Things (IoT) is a collection of technologies to bring the Internet to physically embedded devices and to embed them deeply into human activities to aid in a variety of activities. IoT gained traction with developers and consumers in recent years, driven by low-cost open-source hardware that enables easy prototyping and testing. IoT…
Descriptors: Internet, Active Learning, Student Projects, College Students
Kroeze, Karel A.; van den Berg, Stephanie M.; Veldkamp, Bernard P.; de Jong, Ton – IEEE Transactions on Learning Technologies, 2021
A tool is presented that can automatically assess the quality of students' concept maps and provide feedback based on a reference concept map. It is shown that this tool can effectively assess the quality of concept maps, and that it can provide accurate and helpful feedback on a number of specific shortcomings often evident in students' concept…
Descriptors: Feedback (Response), Concept Mapping, Student Evaluation, Teaching Methods
De Santo, Alessio; Farah, Juan Carlos; Martinez, Marc Lafuente; Moro, Arielle; Bergram, Kristoffer; Purohit, Aditya Kumar; Felber, Pascal; Gillet, Denis; Holzer, Adrian – IEEE Transactions on Learning Technologies, 2022
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive…
Descriptors: Computation, Thinking Skills, Computer Science, Higher Education
Wagner, Meghan; Bothner, Cameron L.; Rau, Emily; Zeng, Pearl Zhu; Waisanen, Edward H.; Czerwinski, Megan A.; Fickes, Bret; Eastin, Ivan; Hardin, Rebecca D. – IEEE Transactions on Learning Technologies, 2021
Sustainability science has been gaining traction within academic research and teaching over the past few decades, and it is now entering a phase of greater maturity as a discipline, with links to sectors beyond the academy including energy, finance, advocacy, development, design, construction, agriculture, and healthcare. Concurrently, the growth…
Descriptors: Sustainability, Sciences, Technology Uses in Education, Active Learning
de Lange, Peter; Goschlberger, Bernhard; Farrell, Tracie; Neumann, Alexander Tobias; Klamma, Ralf – IEEE Transactions on Learning Technologies, 2020
Learning in communities of practice (CoPs) makes up a significant portion of today's knowledge gain. However, only little technological support is tailored specifically toward CoPs and their particular strengths and challenges. Even worse, CoPs often do not possess the resources to host or develop a software ecosystem to support their activities.…
Descriptors: Communities of Practice, Computer Uses in Education, Learning, Computer System Design
Ruiperez-Valiente, Jose A.; Gaydos, Matthew; Rosenheck, Louisa; Kim, Yoon Jeon; Klopfer, Eric – IEEE Transactions on Learning Technologies, 2020
Learning games have great potential to become an integral part of new classrooms of the future. One of the key reported benefits is the capacity to keep students deeply engaged during their learning process. Therefore, it is necessary to develop models that can measure quantitatively how learners are engaging with learning games to inform game…
Descriptors: Behavior Patterns, Learner Engagement, Learning Analytics, Computer Games
Auerbach, Joshua E.; Concordel, Alice; Kornatowski, Przemyslaw M.; Floreano, Dario – IEEE Transactions on Learning Technologies, 2019
It has often been found that students appreciate hands-on work, and find that they learn more with courses that include a project than those relying solely on conventional lectures and tests. This type of project driven learning is a key component of "Inquiry-based learning" (IBL), which aims at teaching methodology as well as content by…
Descriptors: Active Learning, Inquiry, Robotics, Artificial Intelligence
Burleson, Winslow S.; Harlow, Danielle B.; Nilsen, Katherine J.; Perlin, Ken; Freed, Natalie; Jensen, Camilla Nørgaard; Lahey, Byron; Lu, Patrick; Muldner, Kasia – IEEE Transactions on Learning Technologies, 2018
As computational thinking becomes increasingly important for children to learn, we must develop interfaces that leverage the ways that young children learn to provide opportunities for them to develop these skills. Active Learning Environments with Robotic Tangibles (ALERT) and Robopad, an analogous on-screen virtual spatial programming…
Descriptors: Robotics, Active Learning, Programming, Spatial Ability
Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
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
Castellanos, Jorge; Haya, Pablo A.; Urquiza-Fuentes, Jaime – IEEE Transactions on Learning Technologies, 2017
STEM (Science, Technology, Engineering, and Math) education is currently receiving much attention from governments and educational institutions. Our work is based on active learning and video-based learning approaches to support STEM education. Here, we aimed to increase students' engagement through reflective processes that embrace video…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Video Technology
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