Assuring Academic Integrity of Supervisor Appointment in Post-Graduate Program with Data-Driven Decision Making Strategy: A Proposal
DOI:
https://doi.org/10.15282/jgi.5.1.2021.6619Keywords:
Supervisor selection, Academic integrity, Quality assurance, Data analyticsAbstract
Research supervision is one of the important aspect in academic quality assurance and the sustainbility of the science itself. However, there is lack of attention based on research literature and evidence of good practice on research supervision from the context of academic integrity in higher education. This study aims to develop a data-driven decision making strategy in supervisor selection for post-graduate program based using research projects data. Apart of that, the researchers reviewed the indicator of academic integrity in research supervisory from program standards in masters and doctoral degree by Malaysia Qualification Agency (MQA), international recommendation by UNESCO and Islamic principles according to the roles of the supervisor, administrator and student in the context of research supervisory. This study adopted data analytics and visualization technique using cloud-based collaborative platform as a research method for data acqusition, processing and analyzing the data. The researchers acquired the research projects profile data registered in the institutional database in Universiti Malaysia Pahang from Department of Research and Innovation as a case study. We categorized and mapped the research profile according to Malaysian Research and Development Classification System (MRDCS) code. The combined data was been analyzed and visualized to specific online dashboard to indicate the research experience in fraction of years as a metric. The researchers evaluate the characteristics of the dashboard based on the academic integrity indicators from MQA, UNESCO and Islamic principles as our measures. The result shows that there is a potential usefulness of the proposed strategy in assuring academic integrity for supervisor selection in post-graduate programmes. This novel approach has a potential impact on academic integrity in higher education which can be adopted at larger scale by higher education institution in Malaysia.
References
Abdullah, A., & Abdul Karim, A. (2019). Academic Integrity in Higher Education: Analysis of Research Publication and Web Citation. KnE Social Sciences, 3(22), 1046–1056. https://doi.org/10.18502/kss.v3i22.5110
Almache Granda, G. K., & Ramirez-Avila, M. R. (2020). Classifying vocabulary in Google Sheets to improve word recognition and reading comprehension in EFL learners: an action research study. AtoZ: Novas Práticas Em Informação e Conhecimento, 9(2), 24. https://doi.org/10.5380/atoz.v9i2.73526
Almusaed, A., & Almssad, A. (2020). The Role of the Supervisor on Developing PhD Students’ Skills. International Conference on Humanities, Social and Education Sciences.
Aoun, S. G., Bendok, B. R., Rahme, R. J., Dacey, R. G., & Batjer, H. H. (2013). Standardizing the Evaluation of Scientific and Academic Performance in Neurosurgery—Critical Review of the “h” Index and its Variants. World Neurosurgery, 80(5), e85–e90. https://doi.org/10.1016/j.wneu.2012.01.052
Archibong, I. A. (2013). Forms of Dishonesty Amongst Academic Staff and the Way Forward. Canadian Social Science, 9(1), 39–43. Retrieved from 10.3968/j.css.1923669720120806.1057%5Cnhttp://ezproxy.umsl.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=afh&AN=87289649&site=ehost-live&scope=site
Cardilini, A. P. A., Risely, A., & Richardson, M. F. (2021). Supervising the PhD: identifying common mismatches in expectations between candidate and supervisor to improve research training outcomes. Higher Education Research and Development. https://doi.org/10.1080/07294360.2021.1874887
Dehnad, A., Abdekhoda, M., & Atatalab, F. F. (2019). H-index and promotion decisions. Annals of Library and Information Studies, 66(4), 171–175.
Gray, P. W., & Jordan, S. R. (2012). Supervisors and Academic Integrity: Supervisors as Exemplars and Mentors. Journal of Academic Ethics. https://doi.org/10.1007/s10805-012-9155-6
James, H. W. (1933). Honesty as a character trait among young people. Journal of Educational Research. https://doi.org/10.1080/00220671.1933.10880346
Jensen, E. T., Hansen, M., Eika, E., & Sandnes, F. E. (2020). Country Selection on Web Forms: A Comparison of Dropdown Menus, Radio Buttons and Text Field with Autocomplete. 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), 1–4. IEEE. https://doi.org/10.1109/IMCOM48794.2020.9001795
Kinne, J., & Axenbeck, J. (2020). Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study. Scientometrics, 125(3), 2011–2041. https://doi.org/10.1007/s11192-020-03726-9
Kunicki, Z. J., Zambrotta, N. S., Tate, M. C., Surrusco, A. R., Risi, M. M., & Harlow, L. L. (2019). Keep Your Stats in the Cloud! Evaluating the Use of Google Sheets to Teach Quantitative Methods. Journal of Statistics Education, 27(3), 188–197. https://doi.org/10.1080/10691898.2019.1665485
Lewellyn, P. G., & Rodriguez, L. C. (2015). Does Academic Dishonesty Relate to Fraud Theory? A Comparative Analysis. American International Journal of Contemporary Research.
Mattar, M. Y. (2021). Combating Academic Corruption and Enhancing Academic Integrity through International Accreditation Standards: The Model of Qatar University. Journal of Academic Ethics. https://doi.org/10.1007/s10805-021-09392-7
MOSTI. (2021). Malaysian Research and Development Classification System. Retrieved June 20, 2021, from https://mastic.mosti.gov.my/malaysian-research-and-development-classification-system
MQA. (2021). Program Standards: Master’s and Doctoral Degree. Retrieved from https://www2.mqa.gov.my/qad/v2/2021/new/Final MDD 2021 - upload v2.pdf
Nabaho, L., & Turyasingura, W. (2019). Battling academic corruption in higher education: Does external quality assurance offer a ray of hope? Higher Learning Research Communications. https://doi.org/10.18870/hlrc.v9i1.449
Orellana, M. L., Darder, A., Pérez, A., & Salinas, J. (2016). Improving doctoral success by matching PhD students with supervisors. International Journal of Doctoral Studies. https://doi.org/10.28945/3404
Poisson, M. (2016). Overcoming corruption and academic fraud in higher education. Retrieved June 22, 2021, from IIEP-UNESCO website: http://www.iiep.unesco.org/en/overcoming-corruption-and-academic-fraud-higher-education
Rideout, J. R., Chase, J. H., Bolyen, E., Ackermann, G., González, A., Knight, R., & Caporaso, J. G. (2016). Keemei: cloud-based validation of tabular bioinformatics file formats in Google Sheets. GigaScience, 5(1), 27. https://doi.org/10.1186/s13742-016-0133-6
Rizal, S., Puruhito, Elfindri, Nugroho, W. S., Ahza, A. B., Subekti, A., … Ikhwan, M. (2020). The correlation between supervisor’s h-index and the number of PMDSU student’s publications. Journal of Physics: Conference Series, 1460, 012048. https://doi.org/10.1088/1742-6596/1460/1/012048
Robishaw, J. D., DeMets, D. L., Wood, S. K., Boiselle, P. M., & Hennekens, C. H. (2020). Establishing and Maintaining Research Integrity at Academic Institutions: Challenges and Opportunities. American Journal of Medicine. https://doi.org/10.1016/j.amjmed.2019.08.036
Tiong, J. J. L., Kho, H. L., Mai, C. W., Lau, H. L., & Hasan, S. S. (2018). Academic dishonesty among academics in Malaysia: a comparison between healthcare and non-healthcare academics. BMC Medical Education. https://doi.org/10.1186/s12909-018-1274-3
UNESCO. (2021). Academic fraud in higher education. Retrieved from https://etico.iiep.unesco.org/en/academic-fraud-higher-education
Ward, D., Hahn, J., & Feist, K. (2012). Autocomplete as Research Tool: A Study on Providing Search Suggestions. Information Technology and Libraries, 31(4), 6. https://doi.org/10.6017/ital.v31i4.1930
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