Ulteriori informazioni
Aims to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as graphical and mathematical representations, knowledge at different levels of abstraction. This book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning.
Sommario
Introduction (M.W. van Someren et al.). Multiple Representations in Learning Concepts from Physics and Mathematics. Acquiring knowledge in science and mathematics: the use of multiple representations in technology-based learning environments (T. de Jong et al.). Reasoning with multiple representations when acquiring the particulate model of matter (M. Rohr, P. Reinmann). How beginning students use graphs of motion (E. Scanlon). Toward decision support for multiple representations in teaching early logic (M. Dobson). The role of prior qualitative knowledge in inductive learning (M.W. van Someren, H. Tabbers). Analysing the costs and benefits of multi-representational learning environments (S.E. Ainsworth et al.). Problem Solving and Learning with Multiple Representations. Problem solving with multiple representations by multiple and single agents: an analysis of the issues involved (H.P.A. Boshuizen, H.J.M. (Tabachneck-) Schiff). Accidentology: an example of problem solving by multiple agents with multiple representations (L. Alpay et al.). Perspective-taking between medical doctors and nurses: a study of multiple representations of different experts with common tasks (R. Bromme, M. Nuckles). One person, multiple representations: an analysis of a simple, realistic multiple representation learning task (H.J.M. (Tabachneck-) Schiff, H.A. Simon). Using multiple representations in medicine: how students struggle with them (H.P.A. Boshuizen, M.W.J. van de Wiel). Competence-related differences in problem representations: a study in physics problem solving (E.R. Savelsbergh et al.). A utility-based approach to speedup learning with multiple representations (M.W. van Someren et al.). General Issues and Implications for Education. Multiple representations and their implications for learning (A. Lesgold). Representation and conceptualisation in educational communication (K. Stenning).
Riassunto
Aims to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as graphical and mathematical representations, knowledge at different levels of abstraction. This book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning.
