A Systematic Review of Recommender Systems in Education

Abstract

Recommender system (RS)s are widely used in different walks of life. This research work is to explore the usage of RS in the field of education. This review is performed in five dimensions which includes, Purpose of RS in Education, various techniques to build RS, input parameters used in design of RS, type of students involved in design of RS and Modelling strategies for RS to represent the data. The outcome of the research work is to facilitate the efficient design of the recommender system in education which will help the students by generating the appropriate recommendations.

Resource Optimisation in Cloud Computing: Comparative Study of Algorithms Applied to Recommendations in a Big Data Analysis Architecture

“…Hybrid systems combine two or more techniques to achieve better performance, such as content-based filtering and collaborative filtering. The limitations of one technique can be overcome by another technique Today, recommender systems have been studied in several areas such as smart cities [14], education [15], e-commerce [16], e-learning [17].…”

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Educational Recommender System based on Learner’s Annotative Activity

“…These advanced technologies are increasingly being used in educational practice and as convenient platforms for rigorous educational research [16]. In this context, many educational recommender systems are designed with different functionalities and recommendation services [33].…”

“…In fact, the educational recommender systems deal with information about students and learning activities which means that it should be personalized with consideration to learner's characteristics (level of knowledge, learning activities, learning achievement, learning goals, learning style, personality traits, etc.). Thus, the posed issue concerns the data to be gathered from the user side, how to be acquired and how to be analyzed to extract the needed knowledge for recommendation purposes [33].…”

“…These systems play a key role in assisting learners to find educational resources relevant and pertinent to their profiles and context [16]. So, it is necessary to identify information that helps learner's profile definition and in identifying requests and interests [33].…”