Serendipitous Recommenders for Teachers in Higher Education

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Author(s): Ahmad Hassan Afridi (Institute of Management Sciences, Pakistan)
Copyright: 2019
Pages: 21
Source title: Handbook of Research on Faculty Development for Digital Teaching and Learning
Source Author(s)/Editor(s): Alev Elçi (Aksaray University, Turkey), Linda L. Beith (Roger Williams University, USA)and Atilla Elçi (Hasan Kalyoncu University, Turkey)
DOI: 10.4018/978-1-5225-8476-6.ch017

Keywords: Business & Management / Business Science Reference / Educational Administration and Leadership / Professional Development

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Abstract

Currently, most of the recommender systems that are in a prototype or deployed stage are primarily accuracy oriented. This chapter focuses on teacher preferences for designing serendipity-oriented recommender systems for academic activities. Reports on relevant literature about serendipitous recommenders and fac ulty empowerment with such tools, a focus group study of teachers for some industrial recommender system platforms, and a use case on instructor use of recommenders to inform and support recommendations for lectures are covered. Further, a survey of students to explore the feasibility of student-teacher serendipitous activities and operations are also reported. The results from all three studies show that serendipity has a major role to play in the future. The author surveyed the literature on standard digital libraries and used questionnaire-based data collection and standard statistical methods to evaluate the responses.

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