The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…

The increasingly evolving context in manufacturing and service industries calls for more active learning approaches to easily grasp new business strategies, such as customer-centric operations management. The authors report on case-based courses about a specific customer-centric strategy namely mass customization. The courses echo the Kolb model…

In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP--Collaboration--Evaluation--Critical thinking--Individual assessment--learner Profile) evolved originating from Vygotsky's theory and based on the (C) collaborative construction of student's knowledge, (E) developing…

The paper composes a framework for learning design, using Web 2.0 technologies in teacher training, transferring the advancement in technology to become an affordance in the teaching/learning process, based on Bloom's Extended Digital Taxonomy in order to enhance the Technological Pedagogical and Content Knowledge of teachers. As a case study, it…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…