Abdulaziz Aborujilah
ABSTRACT
Reputation of higher education institutes are significantly affected by the degree of the students' satisfactions. Therefore, considering students opinions about the quality of education is very important in order to maintain the academic institutes' reputation. Thus, the use of social media in the assessment of course quality enhances the education outcomes. Most universities explore their students' views about the quality of the offered courses using online and paper based questionnaires. However, the students' opinions in social media such as Facebook and twitters are not considered in the courses assessment of universities. This paper conduct a study on how university lectures react toward the students views throughout the social media. The contain analysis approach has been used to accomplish this study. The results showed that involving social media in courses assessments strengthen truthfulness of the courses evaluations results.
- A. Benetoli, T. F. Chen, and P. Aslani, "The use of social media in pharmacy practice and education," Research in Social and Administrative Pharmacy, vol. 11, no. 1, pp. 1--46, 2015.Google Scholar
Cross Ref
- V. S. Ban, B. Lega, and H. H. Batjer, "Maximizing the potential of social media and social networks in neurosurgery," World neurosurgery, 2016.Google Scholar
- L. N. Tobey and M. M. Manore, "Social media and nutrition education: the food hero experience," Journal of nutrition education and behavior, vol. 46, no. 2, pp. 128--133, 2014.Google ScholarCross Ref
- P. Dorta-González and M. I. Dorta-González, "Student evaluation of teaching," Proceedings in ARSA-Advanced Research in Scientific Areas, no. 1, 2012.Google Scholar
- N. M. Alotaibi, D. Guha, A. Fallah, A. Aldakkan, F. Nassiri, J. H. Badhiwala, G. M. Ibrahim, M. F. Shamji, R. L. Macdonald, and A. M. Lozano, "Social media metrics and bibliometric profiles of neurosurgical departments and journals: Is there a relationship?" World neurosurgery, 2016.Google Scholar
- W. Sinclair, M. McLoughlin, and T. Warne, "To twitter to woo: Harnessing the power of social media (some) in nurse education to enhance the student's experience," Nurse education in practice, vol. 15, no. 6, pp. 507--511, 2015.Google ScholarCross Ref
- Y. Cheong Cheng and W. Ming Tam, "Multi-models of quality in education," Quality assurance in Education, vol. 5, no. 1, pp. 22--31, 1997.Google ScholarCross Ref
- B. M. Oldfield and S. Baron, "Student perceptions of service quality in a uk university business and management faculty," Quality Assurance in education, vol. 8, no. 2, pp. 85--95, 2000.Google ScholarCross Ref
- P. Sultan and H. Yin Wong, "Antecedents and consequences of service quality in a higher education context: a qualitative research approach," Quality assurance in education, vol. 21, no. 1, pp. 70--95, 2013.Google ScholarCross Ref
- P. Sultan and H. Yin Wong, "An integrated-process model of service quality, institutional brand and behavioural intentions: The case of a university," Managing Service Quality, vol. 24, no. 5, pp. 487--521, 2014.Google ScholarCross Ref
- C. Abad, J. Taylor, C. Sengul, W. Yurcik, Y. Zhou, and K. Rowe, "Log correlation for intrusion detection: A proof of concept," in Computer Security Applications Conference, 2003. Proceedings. 19th Annual. IEEE, 2003, pp. 255--264. Google ScholarDigital Library
- A. Parasuraman, V. A. Zeithaml, and L. L. Berry, "A conceptual model of service quality and its implications for future research," the Journal of Marketing, pp. 41--50, 1985.Google Scholar
- S. F. Slater, "Developing a customer value-based theory of the firm," Journal of the Academy of marketing Science, vol. 25, no. 2, pp. 162--167, 1997.Google ScholarCross Ref
- P. Altbach, "Knowledge and education as international commodities," International higher education, no. 28, 2015.Google Scholar
- D. S. Fike, D. J. Doyle, and R. J. Connelly, "Online vs. paper evaluations of faculty: When less is just as good." Journal of Effective Teaching, vol. 10, no. 2, pp. 42--54, 2010.Google Scholar
- C. J. Dommeyer*, P. Baum, R. W. Hanna, and K. S. Chapman, "Gathering faculty teaching evaluations by in-class and online surveys: their effects on response rates and evaluations," assessment & Evaluation in Higher Education, vol. 29, no. 5, pp. 611--623, 2004.Google Scholar
- S. L. Annan, S. Tratnack, C. Rubenstein, E. Metzler-Sawin, and L. Hulton, "An integrative review of student evaluations of teaching: Implications for evaluation of nursing faculty," Journal of Professional Nursing, vol. 29, no. 5, pp. e10--e24, 2013.Google ScholarCross Ref
- K. Alok, "Student evaluation of teaching: An instrument and a development process." International Journal of Teaching and Learning in Higher Education, vol. 23, no. 2, pp. 226--235, 2011.Google Scholar
- T. Beran and C. Violato, "Ratings of university teacher instruction: How much do student and course characteristics really matter?" Assessment & Evaluation in Higher Education, vol. 30, no. 6, pp. 593--601, 2005.Google ScholarCross Ref
- T. Beran and C. Violato, "Student ratings of teaching effectiveness: Student engagement and course characteristics," The Canadian Journal of Higher Education, vol. 39, no. 1, p. 1, 2009.Google Scholar
- N. Ghatasheh, "Knowledge level assessment in e-learning systems using machine learning and user activity analysis," INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, vol. 6, no. 4, pp. 107--113, 2015.Google ScholarCross Ref
- R. Popping, "Analyzing open-ended questions by means of text analysis procedures," Bulletin of Sociological Methodology/Bulletin de Methodologies Sociologies, vol. 128, no. 1, pp. 23--39, 2015.Google ScholarCross Ref
- H.-F. Hsieh and S. E. Shannon, "Three approaches to qualitative content analysis," Qualitative health research, vol. 15, no. 9, pp. 1277--1288, 2005.Google ScholarCross Ref
Index Terms
- Lecturers' perception on social media networks uses in education
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