Sequence Matching Analysis for Curriculum Development

Liem Yenny Bendatu, Bernardo Nugroho Yahya




Abstract


Many organizations apply information technologies to support their business processes. Using the information technologies, the actual events are recorded and utilized to conform with predefined model. Conformance checking is an approach to measure the fitness and appropriateness between process model and actual events. However, when there are multiple events with the same timestamp, the traditional approach unfit to result such measures. This study attempts to develop a sequence matching analysis. Considering conformance checking as the basis of this approach, this proposed approach utilizes the current control flow technique in process mining domain. A case study in the field of educational process has been conducted. This study also proposes a curriculum analysis framework to test the proposed approach. By considering the learning sequence of students, it results some measurements for curriculum development. Finally, the result of the proposed approach has been verified by relevant instructors for further development.


Keywords


Sequence matching analysis, process mining, curriculum analysis, learning sequence

References


  1. Rozinat, A., and Aalst, W.M.P., Conformance Checking of Processes Based on Monitoring Real Behaviour, Information System 33, 2008, pp 64-95.
  2. Aalst, W.M.P., Business Alignment: Using Process Mining as a Tool for Delta Analysis and Conformance Testing, Springer 2005.
  3. Shao-Wen, Su., The Various Concepts of Curriculum and the Factors Involved in Curricula-making, Journal of Language Teaching and Research, 3(1), 2012, pp. 153-158.
  4. Pratt, D., Curriculum Planning: A handbook for professionals. Fort Worth: Harcourt Brace College Publishers, 1994.
  5. Barrow, R., and Milburn, G., A Critical Dictionary of Educational Concepts. New York: Harves¬ter Wheatsheaf, 1990.
  6. Goodson, I. F., Studying Curriculum. New York: Teachers College Press, 1994.
  7. Longstreet, W.S. and Shane, H.G., Curriculum for a New Millennium. Boston: Allyn and Bacon, 1993.
  8. Pechenizkiy, M., Trcka, N., De. Bra, P., CurriM: Curriculum Mining, EDM 2012, pp. 216-217.
  9. Witten, I.H., and Frank, E., Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Fransisco, 2000.
  10. Chandra, E., and Nandhini, K., Knowledge Mining from Student Data. European Journal of Scientific Research, 47(1), 2010, pp. 156-163.
  11. Aalst, W.M.P., Process Mining: Discovery, Conformance and Enhancement of Business Processes, Berlin: Springer-Verlag, 2011.
  12. Aalst, W.M.P., Weijters, A., and Maruster, L., Workflow Mining: Discovering Process Models from Eveng Logs, IEEE Transactions on Knowledge and Data Engineering, 16(9), 2014, pp. 1128-1142
  13. Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., Aalves de Mediros, A.K., Song, M.S., and Verbeek, H.M.W., Business Process Mining: An Industrial Application, Information System 32, 2007, pp. 713-732.
  14. Pro M, Process Mining Tools, Available: http:// www.processmining.org, retrieved on April 2014


Full Text: PDF

Instructions for Preparing Papers for JTI.docx
Panduan untuk Menulis di JTI.docx

The Journal is published by The Institute of Research & Community Outreach - Petra Christian University. It available online supported by Directorate General of Higher Education - Ministry of National Education - Republic of Indonesia.

©All right reserved 2016.Jurnal Teknik Industri, ISSN: 1411-2485, e-ISSN: 2087-7439

shopify traffic stats
View My Stats




Copyright © Research Center Web-Dev Team