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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
So, Joseph Chi-Ho; Ho, Yik Him; Wong, Adam Ka-Lok; Chan, Henry C. B.; Tsang, Kia Ho-Yin; Chan, Ada Pui-Ling; Wong, Simon Chi-Wang – IEEE Transactions on Learning Technologies, 2023
Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…
Descriptors: Predictor Variables, Higher Education, Online Courses, Correlation
Gupta, Anika; Garg, Deepak; Kumar, Parteek – IEEE Transactions on Learning Technologies, 2022
With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…
Descriptors: Markov Processes, Online Courses, Learning Management Systems, Learning Analytics
Andriamiseza, Rialy; Silvestre, Franck; Parmentier, Jean-Francois; Broisin, Julien – IEEE Transactions on Learning Technologies, 2023
Formative assessment provides teachers with feedback to help them adapt their behavior. To manage the increasing number of students in higher education, technology-enhanced formative assessment tools can be used to maintain and hopefully improve teaching and learning quality, thanks to the high amount of data that are generated by their usage.…
Descriptors: Learning Analytics, Formative Evaluation, Evidence Based Practice, Peer Evaluation
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
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
Villalonga-Gomez, Cristina; Ortega-Fernandez, Eglee; Borau-Boira, Elena – IEEE Transactions on Learning Technologies, 2023
The application of the metaverse poses important challenges for the field of education. The aim of this article is to analyze the evolution of the development of the metaverse experiences in Higher Education and thus identify the key aspects of its application as a virtual environment for teaching and learning. To this end, a systematic literature…
Descriptors: Higher Education, Electronic Learning, Educational Environment, Second Language Instruction
Gomez, Manuel J.; Ruipérez-Valiente, Jose A.; Clemente, Félix J. Garcia – IEEE Transactions on Learning Technologies, 2023
Technology has become an essential part of our everyday life, and its use in educational environments keeps growing. In addition, games are one of the most popular activities across cultures and ages, and there is ample evidence that supports the benefits of using games for assessment. This field is commonly known as game-based assessment (GBA),…
Descriptors: Literature Reviews, Game Based Learning, Evaluation Methods, Elementary Secondary Education
Sin, Zackary P. T.; Jia, Ye; Wu, Astin C. H.; Zhao, Isaac Dan; Li, Richard Chen; Ng, Peter H. F.; Huang, Xiao; Baciu, George; Cao, Jiannong; Li, Qing – IEEE Transactions on Learning Technologies, 2023
Metaverse, an alternative universe for play, work, and interaction, has become a captivating topic for academia and industry in recent times. This opens the question on what a metaverse for education, or edu-metaverse, should look like. It is believed that this metaverse for learning should be grounded by a pedagogical theory. Particularly, we…
Descriptors: Computer Simulation, Simulated Environment, Constructivism (Learning), Technology Uses in Education
Srikanth Allamsetty; M. V. S. S. Chandra; Neelima Madugula; Byamakesh Nayak – IEEE Transactions on Learning Technologies, 2024
The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…
Descriptors: Computer Assisted Testing, Accountability, Higher Education, Comparative Analysis
Nikola M. Luburic; Luka Z. Doric; Jelena J. Slivka; Dragan Lj. Vidakovic; Katarina-Glorija G. Grujic; Aleksandar D. Kovacevic; Simona B. Prokic – IEEE Transactions on Learning Technologies, 2025
Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…
Descriptors: Intelligent Tutoring Systems, Coding, Computer Software, Technical Occupations
Moonen-van Loon, Joyce M. W.; Govaerts, Marjan; Donkers, Jeroen; van Rosmalen, Peter – IEEE Transactions on Learning Technologies, 2022
Self-directed learning is generally considered a key competence in higher education. To enable self-directed learning, assessment practices increasingly embrace assessment for learning rather than the assessment of learning, shifting the focus from grades and scores to provision of rich, narrative, and personalized feedback. Students are expected…
Descriptors: Competency Based Education, Portfolios (Background Materials), Feedback (Response), Independent Study
Celdran, Alberto Huertas; Clemente, Felix J. Garcia; Saenz, Jacobo; de la Torre, Luis; Salzmann, Christophe; Gillet, Denis – IEEE Transactions on Learning Technologies, 2020
A smart campus provides students who are geographically scattered with online tools to get access to learning resources and laboratories. Although these remote laboratories have the potential and capabilities to implement different learning experiments, most of them are configured in a static fashion, being able to serve only one experiment for a…
Descriptors: Educational Technology, Technology Uses in Education, Virtual Classrooms, Laboratories
Sun, Geng; Shen, Jun – IEEE Transactions on Learning Technologies, 2014
Mobile learning is an emerging trend that brings many advantages to distributed learners, enabling them to achieve collaborative learning, in which the virtual teams are usually built to engage multiple learners working together towards the same pedagogical goals in online courses. However, the socio-technical mechanisms to enhance teamwork…
Descriptors: Teamwork, Computer Software, Online Courses, Teaching Methods
Yang, Tzu Chi; Chen, Sherry Y.; Chen, Meng Chang – IEEE Transactions on Learning Technologies, 2016
Online tests have been identified as a core learning activity in higher education. Unlike conventional online tests, which cannot completely reflect students' learning status, two-tier tests not only consider students' answers, but also take into account reasons for their answers. Due to such significance, research into the two-tier tests had…
Descriptors: Higher Education, Calculus, Mathematics Instruction, Mathematics Tests
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