On the Development of Successful Adaptive Blended Learning Trajectories for Higher Education

The rapid development of internet-based technologies have enabled the scaffolding of learning experiences in- and outside the classroom. Learning Management environments have become indispensable platforms in higher education and MOOCs have substituted distance education. In this context, blended or hybrid learning formats have been developed and cited as the 'new normal’. Adaptive blended learning is substantially dealing with personalisation, recommendation-based learning, and inquire-based learning. The architecture of an adaptive learning approach comprises learning and reasoning instruments and rules to acquire or infer knowledge about the student, a priori or through interactions, to dynamically alter the flow or content of learning activities in a learning trajectory. Although research efforts to create adaptive systems can be found, there remain numerous challenges to understand how increased availability and timeliness of learners’ information can contribute to improved students’ learning processes and learning outcomes. One of the challenges that deserves special attention is the role of students' self-regulatory abilities. The project aims at developing and validating an architecture for adaptive learning trajectories, incorporating self-regulation attributes, and targeting software engineering related problem solving skills.

Keywords:higher education

Disciplines:Educational technology