Abstract:
Recommending educational resources to groups of students is a common task in collaborative learning contexts. However, differences in within-group motivational factors mi...Show MoreMetadata
Abstract:
Recommending educational resources to groups of students is a common task in collaborative learning contexts. However, differences in within-group motivational factors might lead to conflicts in students' intention to use the resources. Previous methods fail to achieve high goodness of recommendation for the majority of students in heterogeneous groups. This study demonstrates a game-theoretic solution for recommending educational resources to homogeneous and heterogeneous groups. The group members are the players, the resources comprise the set of possible actions, and selecting those items that will maximize all students' motivation in the collaborative activity is a problem of finding the Nash Equilibrium (NE). In case the NE is Pareto efficient, none of the players can get more payoff (motivation) without decreasing the payoff of any other player, indicating an optimal benefit for the group as a whole. The suggested approach was empirically evaluated in a controlled experiment with a real dataset. The relevance of each delivered item to its corresponding students was explored both from the perspective of the group and its the individual students. The accuracy of the predicted group/individual motivation, the goodness of the ranked list of recommendations, and the problem-solving performance for the treatment group were significantly higher compared to the control groups. Limitations of the approach, as well as future work plans conclude the paper.
Published in: IEEE Transactions on Learning Technologies ( Volume: 13, Issue: 2, 01 April-June 2020)
Information Systems Program, University of Macedonia, Thessaloniki, Greece
Zacharoula Papamitsiou (Member, IEEE) received the M.Sc. degree in educational technologies from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2011. She is currently working toward the Ph.D. degree in learning analytics and educational data mining for adaptive assessment at the interdepartmental program of postgraduate studies in information systems from the University of Macedonia, Thessaloniki, Gree...Show More
Zacharoula Papamitsiou (Member, IEEE) received the M.Sc. degree in educational technologies from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2011. She is currently working toward the Ph.D. degree in learning analytics and educational data mining for adaptive assessment at the interdepartmental program of postgraduate studies in information systems from the University of Macedonia, Thessaloniki, Gree...View more
Information Systems Program, University of Macedonia, Thessaloniki, Greece
Anastasios A. Economides received the M.Sc. and Ph.D. degrees in computer engineering, from the University of Southern California, Los Angeles, CA, USA, in 1987 and 1990, respectively.
He is with the University of Macedonia (UoM), Thessaloniki, Greece. He is a Member of the Quality Assurance Unit of the UoM and Deputy representative of UoM at EL.ID.E.K. (the official administration for the National/Greek Research Policy). ...Show More
Anastasios A. Economides received the M.Sc. and Ph.D. degrees in computer engineering, from the University of Southern California, Los Angeles, CA, USA, in 1987 and 1990, respectively.
He is with the University of Macedonia (UoM), Thessaloniki, Greece. He is a Member of the Quality Assurance Unit of the UoM and Deputy representative of UoM at EL.ID.E.K. (the official administration for the National/Greek Research Policy). ...View more
Contents Information Systems Program, University of Macedonia, Thessaloniki, Greece
Zacharoula Papamitsiou (Member, IEEE) received the M.Sc. degree in educational technologies from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2011. She is currently working toward the Ph.D. degree in learning analytics and educational data mining for adaptive assessment at the interdepartmental program of postgraduate studies in information systems from the University of Macedonia, Thessaloniki, Greece.
She has published more than 15 peer-reviewed papers. Her current research interests include learning analytics, educational data mining, data-driven decision making, educational recommender systems, and adaptive feedback and assessment.
Dr. Papamitsiou has received the Martin Wolpers Award for the research project of the most promising young researcher (2017). She is a Reviewer in more than five high ranked journals. She is a Member of the IEEE and the IEEE Computer Society, Society for Learning Analytics Research, and the ACM.
Zacharoula Papamitsiou (Member, IEEE) received the M.Sc. degree in educational technologies from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2011. She is currently working toward the Ph.D. degree in learning analytics and educational data mining for adaptive assessment at the interdepartmental program of postgraduate studies in information systems from the University of Macedonia, Thessaloniki, Greece.
She has published more than 15 peer-reviewed papers. Her current research interests include learning analytics, educational data mining, data-driven decision making, educational recommender systems, and adaptive feedback and assessment.
Dr. Papamitsiou has received the Martin Wolpers Award for the research project of the most promising young researcher (2017). She is a Reviewer in more than five high ranked journals. She is a Member of the IEEE and the IEEE Computer Society, Society for Learning Analytics Research, and the ACM.View more
Information Systems Program, University of Macedonia, Thessaloniki, Greece
Anastasios A. Economides received the M.Sc. and Ph.D. degrees in computer engineering, from the University of Southern California, Los Angeles, CA, USA, in 1987 and 1990, respectively.
He is with the University of Macedonia (UoM), Thessaloniki, Greece. He is a Member of the Quality Assurance Unit of the UoM and Deputy representative of UoM at EL.ID.E.K. (the official administration for the National/Greek Research Policy). He is the Director of of the Smart & Mobile Interactive Learning Environments lab. He has published 2 books, more than 100 peer-reviewed journal papers, more than 150 peer-reviewed conference papers and, more than 20 peer-reviewed chapter books. He has received around 3500 citations. His current research interests include e-learning, networking technologies and techno-economics, and competition in telecommunication networks. Also, he was the keynote speaker in international conferences, in the program committees of dozens of conferences and in the editorial committee boards of many journals.
Anastasios A. Economides received the M.Sc. and Ph.D. degrees in computer engineering, from the University of Southern California, Los Angeles, CA, USA, in 1987 and 1990, respectively.
He is with the University of Macedonia (UoM), Thessaloniki, Greece. He is a Member of the Quality Assurance Unit of the UoM and Deputy representative of UoM at EL.ID.E.K. (the official administration for the National/Greek Research Policy). He is the Director of of the Smart & Mobile Interactive Learning Environments lab. He has published 2 books, more than 100 peer-reviewed journal papers, more than 150 peer-reviewed conference papers and, more than 20 peer-reviewed chapter books. He has received around 3500 citations. His current research interests include e-learning, networking technologies and techno-economics, and competition in telecommunication networks. Also, he was the keynote speaker in international conferences, in the program committees of dozens of conferences and in the editorial committee boards of many journals.View more
