An empirical study about calibration of adaptive hints in web-based adaptive testing environments

Authors:
Ricardo Conejo;Eduardo Guzmán;José-Luis Pérez de-la Cruz;Eva Millán
Affiliations:
Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain;Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain;Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain;Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain
Venue:
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2006

Citing 4
Cited 3

Procedural help in Andes: generating hints using a Bayesian network student model

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Macroadapting Animalwatch to Gender and Cognitive Differnces with Respect to Hint Interactivity and Symbolism

ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Getting to Know Me: Helping Learners Understand Their Own Learning Needs through Metacognitive Scaffolding

ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
SIETTE: A Web-Based Tool for Adaptive Testing

International Journal of Artificial Intelligence in Education

Towards Computerized Adaptive Assessment Based on Structured Tasks

AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Towards the prediction of user actions on exercises with hints based on survey results

EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Behavior effect of hint selection penalties and availability in an intelligent tutoring system

ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a proposal for introducing hint adaptive selection in an adaptive web-based testing environment. To this end, a discussion of some aspects concerning the adaptive selection mechanism for hints is presented, which results in the statement of two axioms that such hints must fulfil. Then, an empirical study with real students is presented, whose goal is to evaluate a tentative bank of items with their associated hints to determine the usefulness of such hints for different knowledge levels and to calibrate both test items and hints.