Computer Assisted Learning

Selected papers: Preface. International Programme Committee. Reasoning supported by computational tools, J. Bliss et al. Object-lessons from self-explanatory objects, D. Clark. How can intelligent CAL better adapt to learners? G.M. Boyd & P.D. Mitchell. Modelling domain knowledge for Intelligent Simulation Learning Environments, W.R. van Joolingen & T. de Jong. Pedagogical decisions within an ITS-shell, J. Vassileva. A differential diagnostic skills assessment and tutorial tool, F.J. Papa et al. Educational and research utilization of a dynamic knowledge base, A. Fernandez-Valmayor & C. Fernandez-Chamizo. Intelligent tutoring systems on scientific subjects: are prototypes ready for broad experimentation? M. Grandbastien. CASCADE: introducing AI into CBT, R.J. Hendley & N. Jurascheck. Writing and the computer: an intelligent tutoring systems solution, C. Bowerman. An environment for physical geography teaching, P.L. Brusilovsky & T.B. Gorskaya-Belova. Learning by building rule-based models, M. Webb. The Artificial Intelligence Applications to Learning Programme, N. Williams. Implementing CAL at a university, M.D. Leiblum. Some problems of mathematical CAL, C.E. Beevers et al. The CORE guided discovery approach to acquiring programming skills, T. Boyle & S. Margetts. A computer-based laboratory course in mathematical sciences, N. Pitcher. Developing the use of IT within mathematics through action research, H. Tanner. Who's in the driving seat? Technology, the arts and education, J.D. Burnett. Hypercourseware, D. Siviter & K. Brown. Authoring and evaluation of hypermedia for education, G.A. Hutchings et al. Technology and music: an intertwining dance, R. Upitis. Author index. Subject index.