Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle

Panorama of Recommender Systems to Support Learning

“…Throughout more recent development cycles of TEL recommender systems it has been demanded that TEL recommender should be evaluated not only according to technical criteria, but rather by a combination of technical and educational criteria (see a review of 59 papers in [88]). Here, 12 papers compile works in this direction.…”

“…Additionally, in [RS69-2013] learning effectiveness, learning efficiency, course engagement and knowledge acquisition were measured to evaluate recommendations impact in a MOOC [88]. The study on learners perception as reported in [RS61-2012] suggests that recommenders can significantly enhance virtual learning communities and put the power of determining what constitutes a quality contribution in the hands of the community members [55].…”

“…Recommendation opportunities in educational scenarios that go beyond recommending learning resources need to be further explored. For this, user centered design approaches [87] can be of value, such as to consider recommending learning activities that, for instance, foster communication [1] and metacognition [124][77] [88]. At the same time, the potential of semantic technologies is being considered to describe the educational domain and therefore enrich the recommendation process In this sense, the application of affective computing in TEL recommender systems can provide added value to the recommendations when emotional and sentiment information is taken into account in the recommendation process [51] [92] and can provide interactive recommendations through sensorial actuators [91].…”

“…New evaluation methods that cover technical and educational criteria. Recommender systems can be analysed to measure the effect on effectiveness (completion rates and amount of progress) and efficiency (time taken to complete) in learning [48] [88], towards an ascending learning curve and better grades [111], including mash-up environments that combine sources of users from different Web2.0 services [22] and mobile learning approaches [46]. For the RecSysTEL field it is important that upcoming developments on TEL RecSys should follow a standardised evaluation method as suggested in [66].…”

Evaluating an Interactive Electronic Lecture System

“…The IELS system consists of three components lectures, video clips and interactive interface. To build an e-learning environment, it has to be taken in consideration the learner 'needs during the whole e-learning life cycle [6]. Also the development of e-learning system should consider the alignment of individual and organizational learning needs, the integration of learning and communication between individuals [7].…”