Abstract
The subject of this paper is the design of a computer-based educational advisory system called LOLA (Leeds On-Line Advisor). Implemented in SMALLTALK-80, LOLA attempts to address some of the problems which arise when students are required to manage their own learning, a decision-making process of importance particularly in tertiary education. LOLA demonstrates how Artificial Intelligence (AI) techniques can be incorporated in the design of instructional systems. LOLA provides advice to students about what to study, how and when to study topics.
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References
Arshad, F.N. (1990).The design of knowledge based advisors for learning. Ph.D. Thesis, University of Leeds, UK.
Arshad, F.N. (1989).Knowledge based learning advisors. Proceedings of the Sixth International Conference on Technology in Education, Volume 1, CEP, Edinburgh, UK.
Arshad, F.N., & Kelleher, G. (1989). Planning in LOLA (Leeds On-line Advisor).Proceedings of the PEG’89 Conference. Uppsala, Sweden.
Fikes, R.E., & Nilsson, N.J. (1971). STRIPS: a new approach to the application of theorem proving to problem solving.Artificial Intelligence, Volume 2.
Hartley, J.R., & Tait, K. (1986). Learner control and educational advice in computer based learning: The study station concept.Computers in Education, Vol. 10, No. 2.
MacMillan, S.A., & Sleeman, D.H., (1987). An architecture for a self-improving instructional planner for intelligent tutoring systems.Computational Intelligence, Vol. 3, No. 1.
Pask, G. (1976). Styles and strategies of learning.British Journal of Educational Psychology, Vol. 46.
Peachey, D.R., & McCalla, G.I. (1986). Using planning techniques in intelligent tutoring systems.International Journal of Man Machine Studies, Vol. 24.
Sacerdoti, E.D. (1974). Planning in a hierarchy of abstraction spaces.Artificial Intelligence, Vol. 5.
Tate, A. (1976). Project planning using a hierarchic non linear planner. (Report Number 25). AI Research Dept., University of Edinburgh.
Wilkins, D.E. (1988).Practical planning: extending the classical AI planning paradigm. Morgan Kaufman.
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The work was supervised by J.R. Hartley and benefited from many helpful discussions with K. Tait and Professor N. Sheehy.
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Arshad, F.N., Kelleher, G. Learning with a computer-based advisor. Current Psychology 9, 131–140 (1990). https://doi.org/10.1007/BF02686742
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DOI: https://doi.org/10.1007/BF02686742