Providing Feedback for Students in E-Learning Systems: a Literature Review, based on IEEE Explore Digital Library

Autor: Kristina Murtazin, Oleg Shvets, Gunnar Piho
Rok vydání: 2020
Předmět:
Zdroj: EDUCON
DOI: 10.1109/educon45650.2020.9125344
Popis: It is clear that along with increasing the use of modern information and communication technologies in education, something has changed and will change in the classical “teacherstudent” or “lecturer-student” relations. Influence of technology on learning and teaching is an important subject of contemporary educational research. One of the most interesting and important topics in educational research is providing feedback for students. Feedback for students, an integral part of any learning process, cannot be provided and scaled up by technology in a simple way. The research, reported in this paper, is a systematic literature review of feedback methods and issues in modern e-learning systems. Based on the selection criteria, 25 papers published from 2008 to 2019 were selected for the final review. The most challenging e-learning issue, reported in these selected papers, was personalised feedback. Personalised feedback, which is widespread in systems providing mass education, still presents many open issues in the realisation. The main contribution of this paper is to give a preliminary report highlighting the state-of-the-art personalised feedback in e-learning systems and to propose possible future research directions for automatisation of personalised feedback systems.
Databáze: OpenAIRE