Most of e-learning and m-learning systems are course-centric. These systems provided services that concentrated on course material and pedagogical. They did not take into account varieties of student levels, skills, interests or preferences. This paper provides a design of an approach for personalized and self-adapted agent-based learning systems for enhancing e-learning and mobile learning (m-...

This paper describes adaptive e-learning systems with learning portfolio for IT education. Our project is one of Modern Good Practice (MGP) which is supported by Ministry of Education, Culture, Sports, Science and Technology in Japan. We have developed the framework of adaptive e-learning systems which is called POLITE. POLITE has a curriculum-based learning environment based on SCORM2004 and e...

Generating adapted learning contents is one of the most important activity that can give the best progression of a learner. This is why research on personalization of learning is growing to get learning environments able to adapt the learning activities and contents to the learner’s profile. This last contains information about knowledge, skills, behavior, of the learner, at a given time of the...

Crowdsourcing [5] methods are quickly changing the landscape for the quantity, quality, and type of labeled data available to supervised learning. While such data can now be obtained more quickly and cheaply than ever before, the generated labels also tend to be far noisier due to limitations of current quality control mechanisms and processes. Given such noisy labels and a supervised learner, ...

The purpose of this study was to analysis the relationship between elearners‟ circumstance, e-learners‟ factors, e-learning satisfaction in university e-learning classes. The basis of the selected data which was gathered from elearning attendants in H & W universities, Structural Equation Modeling was used to examine the relationship between factors. The main results of the research were as fol...

As students are engaged in sustained inquiry supported by technology various challenges arise. One particular challenge is how to introduce learning technologies within a currently enacted curriculum. To meet this challenge student supports must both be imbedded within the technology itself (intrinsic supports) as well as within the classroom (extrinsic supports). Learner centered design resear...

Constraint programming is used to model and solve complex combinatorial problems. The modeling task requires some expertise in constraint programming. This requirement is a bottleneck to the broader uptake of constraint technology. Several approaches have been proposed to assist the non-expert user in the modelling task. This paper presents the basic architecture for acquiring constraint networ...

This paper presents a novel recommendation methodology for learners who are doing tasks in ubiquitous learning environments. The main concept is to deal with a learning task as a set of real objects and to orient the recommendation methodology towards these objects. These objects can be detected using ubiquitous technologies. An intelligent agent can propose diverse recommendations for the lear...

Case: Kim v. Villanova University