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USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION

Year 2014, Volume: 15 Issue: 1, 1 - 14, 05.05.2015
https://doi.org/10.18038/btd-a.99663

Abstract

Today, there's a wide variety of open and distance learning (ODL) systems around the world. Herein, for lifelong learning how to select an ODL program becomes a critic question for a learner who wants to extent abilities on his/her career path. This is a complex decision problem with interdependent criteria. The Analytic Network Process (ANP) is a multicriteria decision making methodology  that  reflects  these  interdependencies.  Within  the  ANP  networks  of  influence  one includes all the factors and criteria, tangible and intangible, which have bearing on making a best decision. In this paper, an ANP model is constructed to search out and prioritize the criteria affecting these ODL systems and to help learners in selecting a program. It's concluded that the Bachelor's degree programs are the most preferred ones. In addition, this model will help the institutions in the regard of which criteria are prominent in terms of different programs. Therefore, this study will support the institutions in regard to ODL policy development

References

  • Chao, R. J., Chen, Y. H. 2009. Evaluation of The Criteria and Effectiveness of Distance E- Learning with Consistent Fuzzy Preference Relations, Expert Systems with Applications 36: 10657– 10662. http://dx.doi.org/10.1016/j.eswa.2009.02. 047
  • Chen, J. K., Chen, I. S. 2010. Using a Novel Conjunctive MCDM Approach Based on DEMATEL, Fuzzy ANP, and TOPSIS as an Innovation Support System for Taiwanese Higher Education, Expert Systems with Applications 37: 1981–1990. http://dx.doi.org/10.1016/j.eswa.2009.06. 079
  • Daniel, S. J. 1995. Preface. In F. Lockwood, Open and Distance Learning Today. London. Routledge.
  • Ertuğrul, İ., Karakaşoğlu, N. 2007. Fuzzy TOPSIS Method for Academic Member Selection in Engineering Faculty. In M. Iskender, Innovations in E-Learning, Instruction Technology, Assessment and Engineering Education. Springer.
  • Gaba, A. K., Dash, N. K. 2004. Course Evaluation in Open and Distance Learning: A Case Study from Indira Gandhi National Open University, Open Learning 192: 213-221. http://dx.doi.org/10.1080/0268051042000 224806
  • Govindasamy, T. 2002. Successful Implementation of E-Learning; Pedagogical Considerations, The Internet and Higher Education 43(4): 287–299. http://dx.doi.org/10.1016/S1096- 7516(01)00071-9
  • Girginer, N., Ozturk, Z. K., Ozturk, G., Ozkul, A. E. 2007. Using ANP for Courseware Development Platform Selection, in Proc. of The 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning (AAOU- 2007), 29-31 October, 2006, Kuala Lumpur, Malaysia, 87.
  • Janssen, J., Tattersall, C.; Waterink, W.; Van den Berg, B.; Van Es, R., Bolman, C., Koper, R. 2007. Self-organising Navigational Support in Lifelong Learning: How Predecessors Can Lead The Way, Computers & Education 493: 781-793. http://dx.doi.org/10.1016/j.compedu.2005. 11.022
  • Lesmes, D., Castillo, M., Zarama, R. 2009. Application of The Analytic Network Process ANP to Establish Weights in Order to Re-accredit a Program of a University, in Proc. of The 10th International Symposium on The Analytic Hierarchy Process, 29 July – 1 August, 2006, Pittsburgh, USA. Available from Internet: http://www.isahp.org/2009Proceedings/Fi nal_Papers/44_LesmesCastilloZarama_A NPinWeightingUniversityPrograms_REV _FIN.pdf
  • Meade, L. M., Sarkis, J. 1999. Analyzing Organizational Project Alternatives for Agile Manufacturing Processes: An Analytic network approach, International Journal of Production Research 372: 241–261. http://dx.doi.org/10.1080/0020754991917 51
  • Milheim, W. 2001. Faculty and Administrative Strategies for The Effective Implementation of Distance Education, British Journal of Educational Technology 325: 535-542. http://dx.doi.org/10.1111/1467-8535.00223 Ong, C. S., Lai, J. Y., Wang, Y. S. 2004.
  • Factors Affecting Engineers’ Acceptance of Asynchronous E-Learning Systems in High-tech Companies, Information & Management 41: 795–804. http://dx.doi.org/10.1016/j.im.2003.08.012 Ozkul, A. E., Girginer, N., Ozturk, Z. K. 2007.
  • Multi Criteria Evaluation of Distance Education Implementation Models using Analytic Hierarchy Process, in Proc. of The 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning (AAOU-2007), 29-31 October, 2006, Kuala Lumpur, Malaysia, 87.
  • Perçin, S. 2010. Use of Analytic Network Process in Selecting Knowledge Management Strategies, Management Research Review 335: 452-471. http://dx.doi.org/10.1108/0140917101104 1893
  • Pirraqlia, W. 2009. How to Evaluate Online Colleges: All Colleges and Universities Are Not Created Equal. [online], [cited 11.10.2013]. Available from Internet: http://www.suite101.com/content/how-toevaluate-online-collegesa168215#ixzz1AiH6leVe
  • Poonikom, K., O’Brien, C., Chansa-ngavej, C. 2004. An Application of The Analytic Network Process ANP for University Selection Decisions, Science Asia 30: 317-326.
  • Saaty, T. L. 2001. Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh, PA.
  • Saaty, T. L., Vargas, L. G. 1998. Diagnosis with Dependent Symptoms: Bayes Theorem and The Analytic Hierarchy Process, Operations Research 464: 491–502. http://dx.doi.org/10.1287/opre.46.4.491
  • Saaty, T. L., Vargas, L. G. 2006. Decision Making with The Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. Springer.
  • Sadi-Nezhad, S.; Etaati, L.; Makui, A. 2010. A Fuzzy ANP Model for Evaluating Elearning Platform, Lecture Notes in Computer Science, 6096: 254-263. http://dx.doi.org/10.1007/978-3-642- 13022-9_26
  • Sağır Ö., M. 2003. Beyond Inconsistency in The AHP/ANP, in Proc. of The 7 th International Symposium on The Analytic Hierarchy Process (ISAHP2003), 7-9 August, Bali, Indonesia, 2003, 381-388.
  • Sagir, M., Ozturk, Z. K. 2010. Exam Scheduling: Mathematical Modeling and Parameter Estimation with The Analytic Network Process Approach, Mathematical and Computer Modelling 525(6):930-941.
  • http://dx.doi.org/10.1016/j.mcm.2010.05.029 Selim, H. M. 2007. Critical Success Factors for E-learning Acceptance: Confirmatory Factor Models, Computers & Education 49:396413. http://dx.doi.org/10.1016/j.compedu.2005.09 .004
  • Shee, D. Y., Wang, Y. 2008. Multi-criteria Evaluation of The Web-based E-Learning System: a Methodology Based on Learner Satisfaction and Its Applications, Computers & Education 50: 894-905. http://dx.doi.org/10.1016/j.compedu.2006. 09.005
  • Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y.; Yeh, D. 2008. What Drives a Successful E-Learning? an Empirical Investigation of The Critical Factors Influencing Learner Satisfaction, Computers & Education 50: 1183–1202. http://dx.doi.org/10.1016/j.compedu.2006. 11.007
  • Tzeng, G. H., Chiang, C. H., Li, C. W. 2007. Evaluating Intertwined Effects in ELearning Programs: a Novel Hybrid MCDM Model Based on Factor Analysis and DEMATEL, Expert Systems with Applications 324: 1028–1044. http://dx.doi.org/10.1016/j.eswa.2006.02.004
  • Wang, Y. –S. 2003. Assessment of Learner Satisfaction with Asynchronous Electronic Learning Systems, Information & Management 411: 75–86. http://dx.doi.org/10.1016/S0378- 7206(03)00028-4
  • Wang, Y. S., Wang, H. Y., Shee, D. Y. 2007. Measuring E-learning Systems Success in an Organizational Context: Scale Development and Validation, Computers in Human Behaviour 23: 1792-1808. http://dx.doi.org/10.1016/j.chb.2005.10.0 06 Wang, R., Hsu, S. L. 2010. Assessment on Effectiveness of E-learning in Uncertainty, in Proc. of The IEEE International Conference on Advanced Management Science (ICAMS), 9-11 July, 2010, Chengdu, China, 65-71.
  • Zhao, Y., Shao, C. 2010. The Application of The Analytic Network Process in Evaluating Assets Management of The Institution of Higher Education, International Journal of Business and Management 511: 236-243.

AÇIK VE UZAKTAN EĞİTİM SİSTEMİ SEÇİMİ İÇİN ÇOK ÖLÇÜTLÜ BİR KARAR VERME YAKLAŞIMININ KULLANILMASI

Year 2014, Volume: 15 Issue: 1, 1 - 14, 05.05.2015
https://doi.org/10.18038/btd-a.99663

Abstract

Bugün, dünya çapında çeşitli açık ve uzaktan eğitim (ODL) sistemleri bulunmaktadır. Bu noktada, yaşam boyu öğrenme kapsamında kariyer yolundaki yeteneklerini geliştirmek isteyen bir öğrenen için bir ODL programını nasıl seçeceği önemli bir soru haline gelmektedir. Bu ise birbirine bağlı ölçütlerden oluşan karmaşık bir karar problemidir. Analitik Serim Süreci (ANP) , bu bağlılıkları ele alan çok ölçütlü bir karar verme yöntemidir. ANP’deki serimler en iyi kararı vermek için hem nitel hem de nicel tüm faktör ve ölçütleri içermektedir. Bu çalışmada, ODL sistemlerini etkileyen ölçütleri araştırmak ve önceliklendirmek ile öğrenenlere bir ODL programı seçiminde yardımcı olmak amacıyla bir ANP modeli kurulmuştur. Çalışma sonucunda, lisans programları en çok tercih edilen ODL programı olmuştur. Ayrıca önerilen ANP modeli, her bir program türünün yürütülmesi için hangi ölçüt ve/veya ölçütlere dikkat edilmesi konusunda da uzaktan eğitim kurumlarına yardımcı olacaktır. Bu nedenle bu çalışma, ODL politikası geliştirme açısından da kurumlara destek verecektir.

References

  • Chao, R. J., Chen, Y. H. 2009. Evaluation of The Criteria and Effectiveness of Distance E- Learning with Consistent Fuzzy Preference Relations, Expert Systems with Applications 36: 10657– 10662. http://dx.doi.org/10.1016/j.eswa.2009.02. 047
  • Chen, J. K., Chen, I. S. 2010. Using a Novel Conjunctive MCDM Approach Based on DEMATEL, Fuzzy ANP, and TOPSIS as an Innovation Support System for Taiwanese Higher Education, Expert Systems with Applications 37: 1981–1990. http://dx.doi.org/10.1016/j.eswa.2009.06. 079
  • Daniel, S. J. 1995. Preface. In F. Lockwood, Open and Distance Learning Today. London. Routledge.
  • Ertuğrul, İ., Karakaşoğlu, N. 2007. Fuzzy TOPSIS Method for Academic Member Selection in Engineering Faculty. In M. Iskender, Innovations in E-Learning, Instruction Technology, Assessment and Engineering Education. Springer.
  • Gaba, A. K., Dash, N. K. 2004. Course Evaluation in Open and Distance Learning: A Case Study from Indira Gandhi National Open University, Open Learning 192: 213-221. http://dx.doi.org/10.1080/0268051042000 224806
  • Govindasamy, T. 2002. Successful Implementation of E-Learning; Pedagogical Considerations, The Internet and Higher Education 43(4): 287–299. http://dx.doi.org/10.1016/S1096- 7516(01)00071-9
  • Girginer, N., Ozturk, Z. K., Ozturk, G., Ozkul, A. E. 2007. Using ANP for Courseware Development Platform Selection, in Proc. of The 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning (AAOU- 2007), 29-31 October, 2006, Kuala Lumpur, Malaysia, 87.
  • Janssen, J., Tattersall, C.; Waterink, W.; Van den Berg, B.; Van Es, R., Bolman, C., Koper, R. 2007. Self-organising Navigational Support in Lifelong Learning: How Predecessors Can Lead The Way, Computers & Education 493: 781-793. http://dx.doi.org/10.1016/j.compedu.2005. 11.022
  • Lesmes, D., Castillo, M., Zarama, R. 2009. Application of The Analytic Network Process ANP to Establish Weights in Order to Re-accredit a Program of a University, in Proc. of The 10th International Symposium on The Analytic Hierarchy Process, 29 July – 1 August, 2006, Pittsburgh, USA. Available from Internet: http://www.isahp.org/2009Proceedings/Fi nal_Papers/44_LesmesCastilloZarama_A NPinWeightingUniversityPrograms_REV _FIN.pdf
  • Meade, L. M., Sarkis, J. 1999. Analyzing Organizational Project Alternatives for Agile Manufacturing Processes: An Analytic network approach, International Journal of Production Research 372: 241–261. http://dx.doi.org/10.1080/0020754991917 51
  • Milheim, W. 2001. Faculty and Administrative Strategies for The Effective Implementation of Distance Education, British Journal of Educational Technology 325: 535-542. http://dx.doi.org/10.1111/1467-8535.00223 Ong, C. S., Lai, J. Y., Wang, Y. S. 2004.
  • Factors Affecting Engineers’ Acceptance of Asynchronous E-Learning Systems in High-tech Companies, Information & Management 41: 795–804. http://dx.doi.org/10.1016/j.im.2003.08.012 Ozkul, A. E., Girginer, N., Ozturk, Z. K. 2007.
  • Multi Criteria Evaluation of Distance Education Implementation Models using Analytic Hierarchy Process, in Proc. of The 21st Annual Conference Empowering Asia through Partnership in Open and Distance Learning (AAOU-2007), 29-31 October, 2006, Kuala Lumpur, Malaysia, 87.
  • Perçin, S. 2010. Use of Analytic Network Process in Selecting Knowledge Management Strategies, Management Research Review 335: 452-471. http://dx.doi.org/10.1108/0140917101104 1893
  • Pirraqlia, W. 2009. How to Evaluate Online Colleges: All Colleges and Universities Are Not Created Equal. [online], [cited 11.10.2013]. Available from Internet: http://www.suite101.com/content/how-toevaluate-online-collegesa168215#ixzz1AiH6leVe
  • Poonikom, K., O’Brien, C., Chansa-ngavej, C. 2004. An Application of The Analytic Network Process ANP for University Selection Decisions, Science Asia 30: 317-326.
  • Saaty, T. L. 2001. Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh, PA.
  • Saaty, T. L., Vargas, L. G. 1998. Diagnosis with Dependent Symptoms: Bayes Theorem and The Analytic Hierarchy Process, Operations Research 464: 491–502. http://dx.doi.org/10.1287/opre.46.4.491
  • Saaty, T. L., Vargas, L. G. 2006. Decision Making with The Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. Springer.
  • Sadi-Nezhad, S.; Etaati, L.; Makui, A. 2010. A Fuzzy ANP Model for Evaluating Elearning Platform, Lecture Notes in Computer Science, 6096: 254-263. http://dx.doi.org/10.1007/978-3-642- 13022-9_26
  • Sağır Ö., M. 2003. Beyond Inconsistency in The AHP/ANP, in Proc. of The 7 th International Symposium on The Analytic Hierarchy Process (ISAHP2003), 7-9 August, Bali, Indonesia, 2003, 381-388.
  • Sagir, M., Ozturk, Z. K. 2010. Exam Scheduling: Mathematical Modeling and Parameter Estimation with The Analytic Network Process Approach, Mathematical and Computer Modelling 525(6):930-941.
  • http://dx.doi.org/10.1016/j.mcm.2010.05.029 Selim, H. M. 2007. Critical Success Factors for E-learning Acceptance: Confirmatory Factor Models, Computers & Education 49:396413. http://dx.doi.org/10.1016/j.compedu.2005.09 .004
  • Shee, D. Y., Wang, Y. 2008. Multi-criteria Evaluation of The Web-based E-Learning System: a Methodology Based on Learner Satisfaction and Its Applications, Computers & Education 50: 894-905. http://dx.doi.org/10.1016/j.compedu.2006. 09.005
  • Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y.; Yeh, D. 2008. What Drives a Successful E-Learning? an Empirical Investigation of The Critical Factors Influencing Learner Satisfaction, Computers & Education 50: 1183–1202. http://dx.doi.org/10.1016/j.compedu.2006. 11.007
  • Tzeng, G. H., Chiang, C. H., Li, C. W. 2007. Evaluating Intertwined Effects in ELearning Programs: a Novel Hybrid MCDM Model Based on Factor Analysis and DEMATEL, Expert Systems with Applications 324: 1028–1044. http://dx.doi.org/10.1016/j.eswa.2006.02.004
  • Wang, Y. –S. 2003. Assessment of Learner Satisfaction with Asynchronous Electronic Learning Systems, Information & Management 411: 75–86. http://dx.doi.org/10.1016/S0378- 7206(03)00028-4
  • Wang, Y. S., Wang, H. Y., Shee, D. Y. 2007. Measuring E-learning Systems Success in an Organizational Context: Scale Development and Validation, Computers in Human Behaviour 23: 1792-1808. http://dx.doi.org/10.1016/j.chb.2005.10.0 06 Wang, R., Hsu, S. L. 2010. Assessment on Effectiveness of E-learning in Uncertainty, in Proc. of The IEEE International Conference on Advanced Management Science (ICAMS), 9-11 July, 2010, Chengdu, China, 65-71.
  • Zhao, Y., Shao, C. 2010. The Application of The Analytic Network Process in Evaluating Assets Management of The Institution of Higher Education, International Journal of Business and Management 511: 236-243.
There are 29 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Zehra Kamışlı Öztürk

Publication Date May 5, 2015
Published in Issue Year 2014 Volume: 15 Issue: 1

Cite

APA Kamışlı Öztürk, Z. (2015). USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 15(1), 1-14. https://doi.org/10.18038/btd-a.99663
AMA Kamışlı Öztürk Z. USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. AUJST-A. May 2015;15(1):1-14. doi:10.18038/btd-a.99663
Chicago Kamışlı Öztürk, Zehra. “USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15, no. 1 (May 2015): 1-14. https://doi.org/10.18038/btd-a.99663.
EndNote Kamışlı Öztürk Z (May 1, 2015) USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15 1 1–14.
IEEE Z. Kamışlı Öztürk, “USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION”, AUJST-A, vol. 15, no. 1, pp. 1–14, 2015, doi: 10.18038/btd-a.99663.
ISNAD Kamışlı Öztürk, Zehra. “USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15/1 (May 2015), 1-14. https://doi.org/10.18038/btd-a.99663.
JAMA Kamışlı Öztürk Z. USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. AUJST-A. 2015;15:1–14.
MLA Kamışlı Öztürk, Zehra. “USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 15, no. 1, 2015, pp. 1-14, doi:10.18038/btd-a.99663.
Vancouver Kamışlı Öztürk Z. USING A MULTI CRITERIA DECISION MAKING APPROACH FOR OPEN AND DISTANCE LEARNING SYSTEM SELECTION. AUJST-A. 2015;15(1):1-14.