Planning and design of industrial engineering education quality
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Fuzzy Inference for Student Diagnosis in Adaptive Educational Hypermedia
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
From Web to Social Web: Discovering and Deploying User and Content Profiles
Multivariate preference models and decision making with the MAUT machine
UM'03 Proceedings of the 9th international conference on User modeling
Context-dependent feedback prioritisation in exploratory learning revisited
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
| Hi-index | 0.00 |
In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises when multiple types of feedback are required in order to address different types of conceptual difficulties, accommodate particular learning behaviours identified during exploration, and provide appropriate support depending on the learning mode (e.g. individual or collaborative learning) and/or the stage of the exploratory learning process. We propose an approach that integrates learners' characteristics and context-related information through a Multicriteria Decision-Making formalism. The outcome is a context-aware mechanism for prioritising personalised feedback that is tested in an exploratory learning environment for mathematical generalisation.