Authors:
Klaus P. Jantke
1
;
Bernd Schmidt
2
and
Rosalie Schnappauf
3
Affiliations:
1
Fraunhofer Institute for Digital Media Technology, Germany
;
2
Fachhochschule Erfurt, Germany
;
3
University of Rostock, Germany
Keyword(s):
Technology-enhanced Learning, User Modeling, Learner Modeling, Player Modeling, Theory of Mind, Learner Model Induction, Inductive Inference, ToMMI Technology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Mentoring and Tutoring
Abstract:
Learning is a spectrum of involved processes requiring the learner’s engagement and building upon the learner’s prior knowledge and other prerequisites. Educators know how to adapt to their learners’ needs and desires. User modeling is a key technology to enable digital systems such as e-learning environments and serious games to adapt to their users’s peculiarities. There is a huge corpus of scientific research on user modeling, on implementation of user modeling and related system adaptivity, and on the impact on teaching and learning. The aim of the present contribution is to go even further. The concept of theories of mind is adopted and adapted from animal behavioral research. Theory of mind user models allow for the identification and representation of user/learner/player peculiarities beyond the limits of all other preceding approaches to user modeling. Theory of mind learner models allow for the representation of higher quality profiles describing, for instances, intention, m
isconceptions, or even fear. The acquisition of suchlike expressive profiles is an inductive learning process of the digital system. The inductive inference of learner profiles requires particular concepts and algorithms. An implementation serves as proof of concept.
(More)