Abstract
With a notion to create a knowledge centric environment, this paper substantiates the inclusion of data mining technique of decision tree for supplementing Hypothetico-Deductive methodology. Presently tacit knowledge plays an important role in the formulation of testable hypothesis from a theoretical framework of dependent and independent variables, identified for the system. The introduction of decision tree in Hypothetico-Deductive methodology concretizes a path towards knowledge creation. The case of a higher education institution is considered in particular.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bresfelean VP (2009). Data mining applications in higher education and academic intelligence management. In: Er MJ, Zhou Y (eds) Theory and Novel Applications of Machine Learning, Intech, pp 376–397
Cranfield DJ, Taylor J (2008) Knowledge management and higher education: a UK case study. Electron J Knowl Manag 6(2):85–100
Gerard JG (2003) Measuring knowledge source tacitness and explicitness: a comparison of paired items. In: Proceeding of the 5th annual organizational learning and knowledge conference, Greece, pp 1–49
Goodwin L, VanDyne M, Lin S, Talbert S (2003) Data mining issues and opportunities for building nursing knowledge. J Biomed Inf 36(4–5):379–388
Gupta P, Mehrotra D (2013) Effective curriculum development through rule induction in knowledge centric higher education organization. In: Confluence 2013: The Next Generation Information Technology Summit (4th International Conference), Noida. IET Digital Library, vol 2013, issue 647 CP, pp 475–480
Gupta P, Mehrotra D, Singh R (2012) Achieving excellence through knowledge mapping in higher education institution. Int J Comput Appl iRAFIT(8):5–10
Gupta P, Mehrotra D, Sharma T (2015) Genetic based weighted aggregation model for optimization of student’s performance in higher education. In: Proceeding of 5th international conference on soft computing for problem solving SocProS 2015, India
Han J, Kamber M (2000) Data mining: concepts and techniques. Morgan Kaufmann Publishers, Canada
Harlow H (2008) The effect of tacit knowledge on firm performance. J Knowl Manag 12(12):148–163
Jong T, Ferguson-Hesseler MGM (1996) Types and qualities of knowledge. Educ Psychol 31(2):105–113
Kabakchieva D (2012) Student performance prediction by using data mining classification algorithms. Int J Comput Sci Manag Res 1(4):686–690
Kumar SA, Vijayalakshmi MN (2011) Efficiency of decision trees in predicting student’s academic performance. Int J Comput Sci Inf Technol 2:335–343
Kumar SP, Kumar A, Sisodia V (2013) Clinical reasoning and sports medicine-application of hypothetico-deductive model. Sports Med Doping Stud 3(1):1–3
Laal M (2011) Knowledge management in higher education. WCIT 2010:544–549
Langley D, Ronen M (2010) Designing a self-assessment item repository: an authentic project in higher education. Interdiscip J Inf Knowl Manag 5:261–275
Lindnera F, Waldb A (2011) Success factors of knowledge management in temporary organizations. Int J Proj Manag 9(7):877–888
Petersson G (2005) Medical and nursing students: development of conceptions of science during three years of studies in higher education. Scand J Educ Res 49(3):281–296
Puusa A, Eerikäinen M (2010) Is tacit knowledge really tacit? Electron J Knowl Manag 8(3):307–318
Rahimi H, Arbabisarjou A, Allameh SM, Aghababaei R (2011) Relationship between knowledge management process and creativity among faculty members in the university. Interdiscip J Inf Knowl Manag 6:17–33
Ramanathan L, Dhanda S, Suresh Kumar D (2013) Predicting students’ performance using modified ID3 algorithm. Int J Eng Technol (IJET) 5(3):2491–2497
Rusli A, Selamat MH, Shahibudin S, Alias RA (2005) A framework for knowledge management system implementation in collaborative environment for higher learning institution. J Knowl Manag Pract 6. http://www.tlainc.com/articl83.htm
Rusli A, Selamat MH, Jaafar A, Abdullah S, Sura S (2008) An empirical study of knowledge management system implementation in public higher learning institution. Int J Comput Sci Netw Secur 8:281–290
Sagsan M (2009) Knowledge management discipline: test for an undergraduate program in Turkey. Electron J Knowl Manag 7(5):627–636
Sahay A, Mehta K (2010) Assisting higher education in assessing, predicting, and managing issues related to student success: a web-based software using data mining and quality function deployment. In: Academic and business research institute conference, Las Vegas, 1–12
Sekaran U, Bougie R (2010) Research method for business: a skill building approach. Willy, West Sussex
Sembiring S, Zarlis M, Hartama D, Ramliana S, Wani E (2011) Prediction of student academic performance by an application of data mining techniques. Int Conf Manag Artif Intell 6:110–114
Shawkat ABM, Ali SA, Wasimi SA (2009) Data mining method and techniques. Cengage Learning, Boston
Turner G, Minonne C (2010) Measuring the effects of knowledge management practices. Electron J Knowl Manag 8(1):161–170
Wright H (2008) Tacit knowledge and pedagogy at UK universities; challenges for effective management. Electron J Knowl Manag 6(1):49–62
Yıldırım M (2014) Effects of privatization on education quality and equity: Comparison of a public and a private primary school in Turkey. Eur J Res Educ Spec Issue Contemp Stud Educ 2:40–46
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gupta, P., Mehrotra, D. & Sharma, T.K. Role of decision tree in supplementing tacit knowledge for Hypothetico-Deduction in higher education. Int J Syst Assur Eng Manag 9, 82–90 (2018). https://doi.org/10.1007/s13198-016-0483-6
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13198-016-0483-6