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ERIC Number: EJ1178734
Record Type: Journal
Publication Date: 2018-May
Pages: 16
Abstractor: As Provided
ISSN: ISSN-2327-5324
Quantitative Model for Choosing Programming Language for Online Instruction
Sherman, Steven J.; Shehane, Ronald F.; Todd, Dewey W.
Journal of Instructional Pedagogies, v20 May 2018
Colleges are increasingly offering online courses, including computer programming courses for business school students. Programming languages that are most useful to students are those that are widely used in the job market. However, the most popular computer languages change at least every three years. Therefore, the language used for instruction in a business programming course must be re-evaluated regularly. This paper establishes a quantitative model for choosing the best language for an online business programming course. Factors considered in the quantitative model include platform compatibility, marketability of the language, object-oriented programming support, availability of an interactive development environment, and the availability of interactive online teaching tools and videos. The paper next presented an example of the quantitative model used for selecting a language for a new online business programming course at a selected university. The final section of the paper presents the results and conclusions of the analysis. [Note: The volume number (19) shown on the PDF is incorrect. The correct citation is v20 May 2018.]
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A