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Giacomo Cassano; Nicoletta Di Blas – IEEE Transactions on Learning Technologies, 2024
In recent years, the world of education has become increasingly hybrid (online/on location) and flexible (synchronous/asynchronous), frequently referred to as HyFlex. One of the risks of these mixed environments is the distance between teacher and students that can make interaction, a crucial component of the teaching/learning process, more…
Descriptors: Electronic Learning, Asynchronous Communication, Teacher Student Relationship, Feedback (Response)
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – IEEE Transactions on Learning Technologies, 2024
This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…
Descriptors: Artificial Intelligence, Synchronous Communication, Feedback (Response), Longitudinal Studies
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Jin, Sung-Hee – IEEE Transactions on Learning Technologies, 2021
Participation dashboards in online discussions are learning support tools that can have a positive effect on learners' learning outcomes and satisfaction levels, but their effectiveness differs according to how learners recognize and interpret them. However, there is a lack of research investigating the effectiveness of visualization methods…
Descriptors: Asynchronous Communication, Discussion, Computer Mediated Communication, Peer Relationship
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Charleer, Sven; Moere, Andrew Vande; Klerkx, Joris; Verbert, Katrien; De Laet, Tinne – IEEE Transactions on Learning Technologies, 2018
This paper presents LISSA ("Learning dashboard for Insights and Support during Study Advice"), a learning analytics dashboard designed, developed, and evaluated in collaboration with study advisers. The overall objective is to facilitate communication between study advisers and students by visualizing grade data that is commonly…
Descriptors: Data Analysis, Academic Advising, Peer Groups, Grades (Scholastic)
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Claros, Iván; Cobos, Ruth; Collazos, César A. – IEEE Transactions on Learning Technologies, 2016
The Social Network Analysis (SNA) techniques allow modelling and analysing the interaction among individuals based on their attributes and relationships. This approach has been used by several researchers in order to measure the social processes in collaborative learning experiences. But oftentimes such measures were calculated at the final state…
Descriptors: Social Networks, Network Analysis, Cooperative Learning, Learning Experience
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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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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Yu, Yuan-Chih – IEEE Transactions on Learning Technologies, 2017
Teaching with a classroom feedback system can benefit both teaching and learning practices of interactivity. In this paper, we propose a dual-channel classroom feedback system integrated with a back-end e-Learning system. The system consists of learning agents running on the students' computers and a teaching agent running on the instructor's…
Descriptors: Feedback (Response), Teaching Methods, Educational Technology, Technology Uses in Education
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Alario-Hoyos, Carlos; Pérez-Sanagustin, Mar; Delgado-Kloos, Carlos; Parada G., Hugo A.; Muñoz-Organero, Mario – IEEE Transactions on Learning Technologies, 2014
This paper presents an in-depth empirical analysis of a nine-week MOOC. This analysis provides novel results regarding participants' profiles and use of built-in and external social tools. The results served to detect seven participants' patterns and conclude that the forum was the social tool preferred to contribute to the MOOC.
Descriptors: Profiles, Online Courses, Computer Science Education, Distance Education
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Brinton, Christopher G.; Chiang, Mung; Jain, Shaili; Lam, Henry; Liu, Zhenming; Wong, Felix Ming Fai – IEEE Transactions on Learning Technologies, 2014
We study user behavior in the courses offered by a major massive online open course (MOOC) provider during the summer of 2013. Since social learning is a key element of scalable education on MOOC and is done via online discussion forums, our main focus is on understanding forum activities. Two salient features of these activities drive our…
Descriptors: Online Courses, Large Group Instruction, Statistical Analysis, Group Discussion
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Liu, Ming; Li, Yi; Xu, Weiwei; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Writing an essay is a very important skill for students to master, but a difficult task for them to overcome. It is particularly true for English as Second Language (ESL) students in China. It would be very useful if students could receive timely and effective feedback about their writing. Automatic essay feedback generation is a challenging task,…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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López Garcia, Diego A.; Mateo Sanguino, Tomás de J.; Cortés Ancos, Estefania; Fernández de Viana González, Iñaki – IEEE Transactions on Learning Technologies, 2016
Debates have been used to develop critical thinking within teaching environments. Many learning activities are configured as working groups, which use debates to make decisions. Nevertheless, in a classroom debate, only a few students can participate; large work groups are similarly limited. Whilst the use of web tools would appear to offer a…
Descriptors: Debate, Web 2.0 Technologies, Internet, Cooperative Learning
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Srba, Ivan; Bielikova, Maria – IEEE Transactions on Learning Technologies, 2015
In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…
Descriptors: Cooperative Learning, Online Courses, Group Dynamics, Feedback (Response)
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Ney, Muriel; Gonçalves, Celso; Balacheff, Nicolas – IEEE Transactions on Learning Technologies, 2014
Simulation games are games for learning based on a reference in the real world. We propose a model for authenticity in this context as a result of a compromise among learning, playing and realism. In the health game used to apply this model, students interact with characters in the game through phone messages, mail messages, SMS and video.…
Descriptors: Heuristics, Computer Simulation, Video Games, Models
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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
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