%0 Conference Proceedings
%T Adaptation Strategies: A Comparison between E-Learning and E-Commerce Techniques
%+ Educational Content, Methodology and Technology Laboratory (e-CoMeT Lab)
%+ Department Of Administration of Cooperative Organisations [Messolonghi]
%A Vassiliadis, Bill
%A Stefani, Antonia
%Z Part 2: First AI in Education Workshop: Innovations and Applications (AIeIA 2012)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Halkidiki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%Y Kostas Karatzas
%Y Spyros Sioutas
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-382
%N Part II
%P 115-124
%8 2012-09-27
%D 2012
%R 10.1007/978-3-642-33412-2_12
%K Adaptation strategies
%K comparison study
%K E-learning
%K E-commerce
%Z Computer Science [cs]Conference papers
%X The importance of e-learning and e-commerce applications has significantly increased in the past few years. Seeking better design and implementation principles is a research goal with, potentially, a significant impact. One of the commonalities of both applications is user-centricity. Understanding user behavior is critical especially in user-centered applications such as e-commerce and e-learning. In this work we discuss some of the fundamental similarities and differences in e-commerce and formal e-learning adaptation and discuss lessons that could be learned. We argue that current user pattern mining techniques should take into account behavioral and educational theories for distance learning in order to be efficient.
%G English
%Z TC 12
%Z WG 12.5
%2 https://hal.science/hal-01523035/document
%2 https://hal.science/hal-01523035/file/978-3-642-33412-2_12_Chapter.pdf
%L hal-01523035
%U https://hal.science/hal-01523035
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-382