Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Some principles of intelligent tutoring
Artificial intelligence and education; vol. 1: learning environments and tutoring systems
Experimental design and analysis in software engineering: Part 2: how to set up and experiment
ACM SIGSOFT Software Engineering Notes
Designing Process Replication and Activation: A Quantitative Approach
IEEE Transactions on Software Engineering
A Review of Experimental Investigations into Object-Oriented Technology
Empirical Software Engineering
A Classification of Evaluation Methods for Intelligent Tutoring Systems
Software-Ergonomie '99, Design von Informationswelten, Gemeinsame Fachtagung des German Chapter of the ACM, der Gesellschaft für Informatik (GI) und der SAP AG
Having It All, Maybe: Design Tradeoffs in ITS Authoring Tools
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
TEx-Sys model for building intelligent tutoring systems
Computers & Education
Towards metrics for the assessment of web-based education
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
IEEE Transactions on Education
Semantic networks -based teachable agents in an educational game
WSEAS Transactions on Computers
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This paper presents the methodology for conducting controlled experiment replication, as well as, the results of a controlled experiment and an internal replication that investigated the effectiveness of an intelligent tutoring system. Since, there doesn't seem to be a common ground on guidelines for the replication of experiments in intelligent tutoring system's educational influence evaluation, this scientific method has just started to be applied to this propulsive research field. We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate an evaluated e-learning system's advantages or disadvantages. On the grounds of experiment replication, a meta-analysis can be conducted in order to calculate overall intelligent tutoring system effectiveness.