arranging learning objects into bigger learning items representing courses or learning paths according to an automated sequencing scenario.
Published in Chapter:
Culturally Aware Mathematics Education Technology
Erica Melis (German Research Center in Artificial Intelligence (DFKI GmbH), Germany), Giorgi Goguadze (University of Saarland, Germany), Paul Libbrecht (German Research Center in Artificial Intelligence (DFKI GmbH), Germany), and Carsten Ullrich (Shanghai Jiao Tong University, China)
Copyright: © 2011
|Pages: 15
DOI: 10.4018/978-1-61520-883-8.ch025
Abstract
Education and learning take place in a situation that is heavily influenced by the culture. The learners’ cultural context affects cognitive processes in learning. Hence, to improve the conditions for learning, e-learning environments and their contents have to interact with the learner in a culturally appropriate way. Therefore, an e-learning system intended for cross-cultural usage has to adapt to the students’ diverse cultural background. For the enculturation of the European platform for mathematics learning, ActiveMath, a number of dimensions are adapted culturally. These are: presentation of system and learning material, terminology, selection and sequencing of learning objects, interaction, and learning scenarios. This chapter describes ActiveMath’ enculturation: computational model, computational techniques, and the empirical basis for the cultural adaptation.