Abstract
Students who enter Universities, came from different demographics, cultural and socio-economic backgrounds. These factors contribute to the students’ adjustment in the new environment and academic success. Institutions of higher education need automated systems to predict manage and monitor students’ behaviours to aid academic success. However, students’ behaviours in higher education institution environments have not yet been formalized to enable machine understanding for automated processing. To address this shortcoming, this study has developed an ontology of students’ behaviours at institutions of higher learning, namely, OntoSBehaviour. Data was collected from secondary sources including websites, published research articles and reports, related taxonomies and ontologies, and various theories that describe human behavior. The collected data was used to formalized the OntoSBehaviour ontology in logic-based syntaxes. The OntoSBehaviour ontology was further implemented in a machine readable form in Web Ontology Language (OWL) and successfully evaluated for consistency and competency with the HermiT reasoner and SPARQL queries within Protégé. The resulting OntoSBehaviour ontology is a formal machine readable representation of students’ behaviours that can be leveraged in web-based applications to provide higher education institutions with relevant data for the automatic prediction, planning, management and monitoring of students’ academic activities and performance to aid their academic success.
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References
Fransworth, B.: Human Behavior: The Complete Pocket Guide (2022). https://imotions.com/blog/learning/research-fundamentals/human-behavior/. Accessed 03 Jan 2023
Huber, B.: The Role of Universities in Society. In: Liu, N.C., Cheng, Y., Wang, Q. (eds.) Matching Visibility and Performance. Global Perspectives on Higher Education. SensePublishers, Rotterdam (2016)
Bertolini, K., Stremmel, A., Thorngren, J.: Student Achievement Factors (2012). https://files.eric.ed.gov/fulltext/ED568687.pdf. Accessed 03 Jan 2023
Troisi, O., Grimaldi, M., Loia, F., Maione, G.: Big data and sentiment analysis to highlight decision behaviours: a case study for student population. Behav. Inf. Technol. 37(4), 1–18 (2018)
Ramesh, V., Parkav, P., Ramar, K.: Predicting student performance: a statistical and data mining approach. Int. J. Comput. Appl. 63(8), 35–39 (2013)
Alyahyan, E., Duştegor, D.: Predicting academic success in higher education: literature review and best practices. Int. J. Educ. Technol. High. Educ. 17(3), 1–21 (2020)
Busse, J., et al.: Actually, what does “ontology’’ mean? a term coined by philosophy in the light of different scientific disciplines. J. Comput. Inf. Technol. 3(1), 29–41 (2015)
Antoniou, G., Franconi, F., van Harmelen, F.: Introduction to semantic web ontology languages. In: Reasoning Web, First International Summer School 2005, pp. 1–21 (2005)
Domingue, J., Fensel, D., Hendler, J.A.: Introduction to the semantic web technologies. In: Domingue, J., Fensel, D., Hendler, J.A. (eds) Handbook of Semantic Web Technologies. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-540-92913-0_1. Accessed 06 Jan 2023
Shadbolt, N., Hall, W., Berners-Lee, T.: The semantic web revisited. IEEE Intell. Syst., 96–101 (2006). https://eprints.soton.ac.uk/262614/1/Semantic_Web_Revisted.pdf. Accessed 06 Jan 2023
Taye, M.M.: The state of the art: ontology web-based languages: XML based. J. Comput. 2(6), 166–176 (2010)
Abaalkhail, R., Guthier, B., Alharthi, R., El Saddik, A.: Survey on ontologies for affective states and their influences. Semant. Web 9(4), 441–458 (2018)
Norris, E., Finnerty, A.N., Hastings, S.G., Michie, S.: A scoping review of ontologies related to human behaviour change. Nat. Hum. Behav. 3(2), 164–172 (2019)
Wright, A.J., et al.: Ontologies relevant to behaviour change interventions: a method for their development. Wellcome Open Res. 5(126), 1–32 (2020)
Hastings, J., Michie, S., Johnston, M.: Theory and ontology in behavioural science. Nat. Hum. Behav. 4, 226 (2020)
Leslie, J.C.: The ontology of behaviour. Eur. J. Behav. Anal. 20(2), 160–165 (2019)
Bronfenbrenner: Bronfenbrenner’s Bioecological Model of Development (2017). https://learning-theories.com/bronfenbrenners-bioecological-model-bronfenbrenner.html. Accessed 07 Jan 2023
McLeod, S.: Lev Vygotsky’s Sociocultural Theory (2018). https://www.simplypsychology.org/vygotsky.html. Accessed 07 Jan 2023
Walinga, J.: Behaviourist Psychology (2014). https://opentextbc.ca/introductiontopsychology/chapter/2-3-behaviourist-psychology/. Accessed 07 Jan 2023
Spielman, R.S., Jenkins, W.J., Lovett, M.D., Dumper, K., Lacombe, A.: Psychology. OpenStax (2020). https://opentextbc.ca/psychologyopenstax/. Accessed 07 Jan 2023
Lu, Z., Dosher, B.A.: Cognitive psychology. Scholarpedia 2(8), 2769 (2007)
Noy, N.F., McGuinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology (2001). https://protege.stanford.edu/publications/ontology_development/ontology101.pdf. Accessed 13 Jan 2023
Ye-lu, Z., Qi-yun, H., Ping, Q., Ze, L.: Construction of the ontology-based agricultural knowledge management system. J. Integrat. Agric. 11(5), 700–709 (2012)
Fonou-Dombeu, J.V., Naidoo, N., Ramnanan, M., Gowda, R., Lawton, S.R.: OntoCSA: a climate-smart agriculture ontology. Int. J. Agric. Environ. Inf. Syst. 12(4), 1–20 (2021)
Panawong, J., Kaewboonma, N., Chansanam, W.: Building an ontology of flora of Thailand for developing semantic electronic dictionary. In: 3rd International Conference on Applied Science Technology (ICAST 2018), pp. 1–7 (2016)
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Ramnanan, M., Fonou-Dombeu, J.V. (2023). OntoSBehaviour: An Ontology of Students’ Behaviours at Institutions of Higher Learning. In: Kö, A., Francesconi, E., Asemi, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2023. Lecture Notes in Computer Science, vol 14149. Springer, Cham. https://doi.org/10.1007/978-3-031-39841-4_3
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