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Moving from assumptions to evidence: Assessing quality in online courses in a master of information program
Author(s) -
Stoerger Sharon,
Pavlovsky Lilia
Publication year - 2019
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.167
Subject(s) - quality (philosophy) , key (lock) , value (mathematics) , medical education , degree program , computer science , psychology , mathematics education , medicine , philosophy , epistemology , computer security , machine learning
Creating opportunities that encourage and support student learning is at the heart of what instructors do. At the same time, LIS programs are attempting to keep up with and navigate a rapidly changing educational landscape. The types of students who enroll in and graduate from our programs are becoming more diverse, as are their needs. This also is true of the employers who are hiring our graduates. Further, concerns have been raised about student debt and the value of the degree. Linking these issues to the quality of the program and more specifically the courses themselves is key. This poster discusses an attempt to develop a proactive structure to formally assess the quality of the online courses in the Master of Information program at Rutgers, The State University of New Jersey.