Abstract:

The paper is aimed to present an original method of identifying students preferring to actively use Project-Based Learning (PBL) activities in personalised learning process. In the paper, the author uses learning personalisation approach based on identifying students’ learning needs (namely, learning styles), suitability of learning components (namely, learning activities) to learning styles, probabilistic indexes of learning components’ suitability to particular students, and on applying intelligent technologies. Proposed method is aimed to personalise learning by applying Felder-Silverman learning styles model and intelligent technologies, i.e. expert evaluation, ontologies and recommender system and thus to improve learning motivation and to create conditions to improve learning quality and effectiveness.

PBL is a model that organises learning around projects. Projects are complex tasks, based on challenging questions or problems, that involve students in design, problem-solving, decision making, or investigative activities; give students the opportunity to work relatively autonomously over extended periods of time; and culminate in realistic products or presentations.

The method of identifying students preferring to actively use PBL activities is based on identifying those activities’ indexes of probabilistic suitability to particular students according to their learning styles. Proposed method includes expert evaluation techniques and the method of identifying probabilistic suitability indexes to particular students. Thus, we could easily identify which students prefer to use PBL in their learning process mostly. After that, corresponding ontologies and recommender system should be created to propose the most suitable PBL activities to particular students. These new elements make the given work distinct from all the other earlier works in the area.

Keywords:

Personalised learning, learning styles, project-based learning, linking, learning activities.