Towards Adaptive Social Comparison for Education

Autor: Sosnovsky, S.A., Fang, Q., de Vries, Ben, Luehof, Sven, Wiegant, F.A.C., Alario-Hoyos, Carlos, Rodríguez-Triana, María Jesús, Scheffel, Maren, Arnedillo-Sánchez, Inmaculada, Dennerlein, Sebastian Maximilian, Sub Softw.Techn. for Learning and Teach., Methodology and statistics for the behavioural and social sciences, Leerstoel Klugkist, Sub Onderwijsinstituut Biologie, Software Technology for Learning and Teaching, Afd Biologie Algemeen
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Addressing Global Challenges and Quality Education, 421. Springer Cham
STARTPAGE=421;ISSN=0302-9743;TITLE=Addressing Global Challenges and Quality Education
Addressing Global Challenges and Quality Education ISBN: 9783030577162
EC-TEL
ISSN: 0302-9743
Popis: Informing students about their progress in comparison to their peers has been widely used in educational research as a strong motivational factor, effective gamification technique and means for adaptive guidance to learning material. A typical social comparison interface helps students weight their individual levels against the average levels of other students. However, such uniform approach may not be effective for every category of students and every learning situation. Underachieving students might find the displayed social goal impossible, while overachieving students might decide that the learning goal has been attained and stop investing time and efforts. An alternative approach is an adaptive social comparison strategy that chooses different levels of the social goal for different categories of students. This paper presents one of the first steps towards developing such a strategy.
Databáze: OpenAIRE