ESS/R completion UI. Hello, R provides a relatively sophisticated completion mechanism through its "utils" package, functions ".guessTokenFromLine",...
P. Adamopoulos. ICIS, Association for Information Systems, (2013)The findings of our analysis illustrate that Professor(s) is the most important factor in online course retention and has the largest positive effect on the probability of a student to successfully complete a course. The sentiment of students for Assignments and Course Material also has positive effects on the successful completeness of a course whereas the Discussion Forum has a positive effect on the probability to partially complete a course. Furthermore, self-paced courses have a negative effect, compared to courses that follow a specific timetable. In addition, the difficulty, the workload, and the duration of a course have a negative effect. On the other hand, for the more difficult courses, self-paced timetable, longer duration in weeks, and more workload have a positive effect on the probability to successfully complete a course. Besides, final exams and projects, open textbooks, and peer assessment have also positive effects. Moreover, whether a certificate is awarded upon the successful completion of a course also affects retention. Additionally, the better a university is considered (i.e. higher ranking), the more likely that a student will successfully complete a course. Further, our results illustrate that the courses which belong to the academic disciplines of Business and Management, Computer Science, and Science have a positive significant effect in contrast to courses in other disciplines (i.e. Engineering, Humanities, and Mathematics). Finally, attrition was not found to be related with student characteristics (i.e. gender, formal education)..
A. Heydarnoori, K. Czarnecki, und T. Bartolomei. ECOOP 2009 – Object-Oriented Programming, Volume 5653 von Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2009)
D. Hou, und D. Pletcher. Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering, Seite 26--30. New York, NY, USA, ACM, (2010)
B. Ganter, und S. Kuznetsov. Conceptual Structures: Theory, Tools and Applications, Volume 1453 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (1998)