Artificial intelligence tools for student learning assessment in professional schools

Proceedings of the 7th European Conference on e-Learning, ECEL 2008

Volumn 1, Issue , 2008, Pages 17-28

  Almeida, Paulo ^a   Novais, Paulo ^b   Costa, Eduardo ^a   Rodrigues, Manuel ^c   Neves, José ^b  

^a Centro de Formação Profissional da Indústria de Calçado   (Portugal)

^b UNIVERSITY OF MINHO   (Portugal)

^c Escola Secundária Martins Sarmento   (Portugal)

Author keywords

Artificial intelligence; MOODLE; Multi valued extended logic programming; Quality ofinformation; Rule based programming

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL STORAGE; E-LEARNING; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; LOGIC PROGRAMMING; PROBLEM ORIENTED LANGUAGES; PROBLEM SOLVING; TOOLS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL INTELLIGENCE TOOLS; EXTENDED LOGIC PROGRAMMING; MARKET REQUIREMENTS; MOODLE; PROFESSIONAL SCHOOLS; QUALITY-OFINFORMATION; STUDENTS' LEARNING EXPERIENCES;

STUDENTS;

EID: 84896303330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Agrawal R., Imielinski T., Swami A. (1993) "Mining association rules between sets of items in large databases", Buneman and Jajodia, editors, Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 207-216, Washington, D.C., USA
2. Agrawal R., Srikant R. (1994) 'Fast algorithms for mining association rules', Bocca, Jarke, and Zaniolo, editors, Procedures of the 20th International Conference on Very Large Data Bases, VLDB, pp. 487-499, Morgan Kaufmann Publishers, Los Altos, California, USA.
3. Almeida, P. (2008) Tools for Student Learning Assessment in Professional Schools, Technical Report, University of Minho, Braga, Portugal.
4. Analide C., Novais P., Machado J., Neves J. (2006) "Quality of Knowledge in Virtual Entities", Encyclopaedia of Communities of Practice in Information and Knowledge Management, Coakes and Clarke, editors, Idea Group Reference, 436-442.
5. Arroyo, I., Murray, T., Woolf, B. and Beal C. (2004) "Inferring unobservable learning variables from students' help seeking behaviour", Workshop Proceedings of International Conference on Intelligent Tutoring Systems, 782-784.
6. Gelfond, M. and Lifschitz V. (1990) "Logic Programs with Classical Negation", in Proceedings of the International Conference on Logic Programming.
7. Ginsberg, M.L. (1991) Readings in Non-monotonic Reasoning, Morgan Kauffman Publishers, Los Altos, California, EUA.
8. Hustadt, U. (1994) "Do we need the closed-world assumption in knowledge representation?" in Working Notes of the KI'94 Workshop, Saarbrüken, Germany.
9. Jennings, N.R. (1999) "Agent-Oriented Software Engineering", Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent System Engineering, Vol. 1647, pp.1-7.
10. Jennings, N.R. (2001) "An agent-based approach for building complex software systems", Communications of the ACM, Vol. 44, No. 4, 35-41.
11. Jonsson, A., Johns, J., Mehranian, H., Arroyo, I., Woolf, B., Barto, A., Fisher, D. and Mahadevan, S. (2005) "Evaluating the feasibility of learning student models from data", Proceedings of the Workshop on Educational Data Mining at Association for the Advancement of Artificial Intelligence (AAAI).
12. Kowalski, T. and Levy, L. (1996) Rule-Based Programming, Springer.
13. Lukichev S., Diaconescu M. and Giurca A. (2007) "Empowering Moodle with Rules and Semantics", Proceedings of the European Semantic Web Conference, Innsbruck, Austria, May 30.
14. Mislevy, R.J., Almond, R.G., Yan, D., and Steinberg, L.S. (1999) "Bayes nets in educational assessment: Where do the numbers come from?", Laskey and Prade, editors, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, 437-446.
15. Moodle - A Free, Open Source Course Management System for Online Learning, [Online], Available: http://moodle.org/ [10 Jul 2008].
16. Neves, J. (1984) "A Logic Interpreter to Handle Time and Negation in Logic Data Bases", in Proceedings of the ACM'84, The Fifth Generation Challenge.
17. Neves, J., Machado, J., Analide, C., Abelha, A., and Brito, L. (2007) "The Halt Condition in Genetic Programming", in Proceedings of the 13th Portuguese Conference on Artificial Intelligence, EPIA, Guimarães, Portugal, 160-169.
18. Parsons, S. (1996) "Current approaches to handling imperfect information in data and knowledge bases", IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No. 3, 353-372.
19. Self, J. (1994) Formal Approaches to Student Modelling, AAI/AI-ED Technical Report No. 92.
20. VanLehn K. (2006) "The behaviour of tutoring systems", International Journal of Artificial Intelligence in Education, Vol. 16, No. 3, 227-265.
21. Way, E.C. (1991) Knowledge Representation and Metaphor, Kluwer Academic Publishers, Dordrecht, Holland.
22. Wooldridge, M. and Jennings, N.R. (1995) "Intelligent Agents: Theory and Practice", Knowledge Engineering Review, Vol. 10, No. 2, 115-152.