Touch Screen Avatar English Learning System For University Students Learning Simplicity

This paper discusses on touch screen avatar for an English language learning application system. The system would be a combination of avatar as Animated Pedagogical Agent (APA) and a touch screen application that adapt the up to date gesture-based computing which is found as having potential to change the way how we learn as it could reduce the amount of Information Communication Technology (ICT) devices used during teaching and learning process. The key here is interaction between university students and touch screen avatar intelligent application system as well as learning resources that could be learned anytime anywhere twenty four hours in seven days 24/7 based on their study time preference where they could learn at their own comfort out of the tradition. The students would be provided with a learning tool that could help them learn interactively with the current trend which they might be interested with based on their own personalization. Apart from that, their performance shall be monitored from a distance and evaluated to avoid disturbing their learning process from working smoothly and getting rid of feeling of being controlled. Thus, the students are expected to have lower affective filter level that may enhance the way they learn unconsciously. Keywords: Gesture-Based Computing, Avatar, Portable Learning Tool, Interactivity, Language Learnin

Learning Style in a Personalized Collaborative Learning Framework

AbstractThis paper aims to discuss learning style implementation into an e-learning environment. The relationship between learning style and adaptive system is identified and connected. Elements gained from traditional learning style researches are adapted into e-learning system to support Personalized Collaborative Learning (PCL) online learning environment. PCL embed Human Computer Interaction (HCI) elements in its environment. Learner model in terms of learning style, learners’ needs and references are smaller, hence it should be broadened to integrate more personalized features into an adaptive system. Therefore, knowledge/materials sharing, question well formation and freedom option support the design of depth personalization into adaptive system like iYu to balance between Personalized Learning Environment (PLE) and collaborative learning. Apart from that, theories overlapping, generalization and time constraits are among the factors that may cause failure to e-learning system effectiveness. In addition, learners’ learning style is found to be dynamic during a learning process or self-reflection occurence in PCL framework. Results showed that learners were able to reflect and discover themselves with the presentation of iYu user interface