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Learner-centred, self-regulated learning approaches such as flipped classrooms or personalised learning environments are popular. This paper analyses personalised learning in collaborative, self-regulated e-learning approaches applying the theory of cognitive fit to explain the personalisation of learning tasks and learning tools. The personalised learning framework (PLF) is presented defining the core constructs of such learning processes as well as a method of personalisation. The feasibility of the framework is demonstrated using a thought experiment describing its possible application to a university course on electronic negotiations as part of an IS curriculum. Current learning methods used in the course and new learning methods matching the PLF are compared and discussed critically, identifying potentials to improve personalised learning as well as avenues for personalised learning research.

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Incorporating the student's preferences regarding pace, methods, and contents into teaching is particularly hard in today's higher education, providing courses to large numbers of students often over electronic media. Such personalised learning can be implemented via self-regulated learning approaches using the method of the flipped classroom. However, literature on the design and evaluation of such courses is scarce. Evaluation models and instruments are not adapted to the specific nature of the flipped classroom yet, combining presence and online teaching. The present paper aims at conceptualising a holistic approach towards an evaluation concept for personalised learning. Based on an overview of evaluation models in the learning sciences and information systems domains an evaluation concept is presented and applied to a course instantiation focusing on the topics of (1) fulfilment of general requirements and effects on (2) learning outcomes, (3) adoption, and (4) individual factors of the students.

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