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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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Geller, Shay A.; Gal, Kobi; Segal, Avi; Sripathi, Kamali; Kim, Hyunsoo G.; Facciotti, Marc T.; Igo, Michele; Hoernle, Nicholas; Karger, David – IEEE Transactions on Learning Technologies, 2021
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…
Descriptors: Identification, Misconceptions, Student Attitudes, Computer Mediated Communication
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Bioglio, Livio; Capecchi, Sara; Peiretti, Federico; Sayed, Dennis; Torasso, Antonella; Pensa, Ruggero G. – IEEE Transactions on Learning Technologies, 2019
In this paper, we address the problem of enhancing young people's awareness of the mechanisms involving privacy in online social networks by presenting an innovative approach based on gamification. In particular, we propose a web application that allows kids and teenagers to experience the typical dynamics of information spread through a realistic…
Descriptors: Privacy, Social Media, Children, Adolescents
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Govaerts, Sten; Holzer, Adrian; Kocher, Bruno; Vozniuk, Andrii; Garbinato, Benoit; Gillet, Denis – IEEE Transactions on Learning Technologies, 2018
Improving face-to-face (f2f) interaction in large classrooms is a challenging task as student participation can be hard to initiate. Thanks to the wide adoption of personal mobile devices, it is possible to blend digital and face-to-face interaction and integrate co-located social media applications in the classroom. To better understand how such…
Descriptors: Blended Learning, Social Media, Computer Oriented Programs, Technology Uses in Education
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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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Lehman, Blair A.; Zapata-Rivera, Diego – IEEE Transactions on Learning Technologies, 2018
Students can experience a variety of emotions while completing assessments. Some emotions can get in the way of students performing their best (e.g., anxiety, frustration), whereas other emotions can facilitate student performance (e.g., engagement). Many new, non-traditional assessments, such as automated conversation-based assessments (CBA), are…
Descriptors: Emotional Response, Student Evaluation, Alternative Assessment, Computer Mediated Communication
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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