Rahmenprogramm des BMBF zur Förderung der empirischen Bildungsforschung

Literaturdatenbank

Vollanzeige

    Pfeil auf den Link... Verfügbarkeit 
Autoren Kerres, Michael; Buntins, Katja  
Titel Recommender in AI-enhanced learning. An assessment from the perspective of instructional design.  
URL https://doi.org/10.1515/edu-2020-0119  
Erscheinungsjahr 2020, Jg. 2, H. 1  
Seitenzahl S. 101-111  
Zeitschrift Open education studies  
ISSN 2544-7831  
Dokumenttyp Zeitschriftenaufsatz; online  
Beigaben Literaturangaben; Tabellen; Abbildungen  
Sprache englisch  
Forschungsschwerpunkt Digitalisierung im Bildungsbereich  
Schlagwörter Soziale Interaktion; Digitale Medien; Digitale Revolution; Künstliche Intelligenz; Lernbedingungen; Lernberatung; Lernen; Lernerfahrung; Computerunterstützter Unterricht; Lernmaterial; Technologieunterstütztes Lernen; Digitalisierung; E-Learning; Lernangebot; Lernberater  
Abstract As tools for AI-enhanced human learning, recommender systems support learners in finding materials and sequencing learning paths. The paper explores how these recommenders improve the learning experience from a perspective of instructional design. It analyzes mechanisms underlying current recommender systems, and it derives concrete examples of how they operate: Recommenders are either expert-, criteria-, behavior-, or profile-based or rely on social comparisons. To verify this classification of five different mechanisms, we analyze a set of current publications on recommenders and find all the identified mechanisms with profile-based approaches as the most common. Social recommenders, though highly attractive in other sectors, reveal some drawbacks in the context of learning. In comparison, expert-based recommendations are easy to implement and often stand out as simple but effective ways for suggesting learning materials and learning paths to learners. They can be combined with other approaches based on social comparisons and individual profiles. The paper points out challenges in studying recommenders for learning and provides suggestions for future research. (Orig.).  
Projekt Metavorhaben "Digitalisierung im Bildungsbereich"
 
Förderkennzeichen 01JD1800B