رویکرد مبتنی داده‌کاوی در طراحی مدل خودبهسازی رهبری مدیران مدارس

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد تمام، عضو هیأت علمی دانشکده علوم تربیتی و روانشناسی دانشگاه اصفهان، اصفهان، ایران

2 دانشجوی دکتری مدیریت آموزشی، دانشکده علوم تربیتی و روانشناسی دانشگاه اصفهان، اصفهان،‌ ایران

چکیده

این مطالعه با هدف ارائه مدل و اولویت­بندی عوامل کلیدی موفقیت یادگیری الکترونیک انجام شده است. جامعه­ی آماری این تحقیق را دانشجویان دانشکده آموزش­های الکترونیکی دانشگاه شیراز تشکیل می­دادند که تعداد آنها برابر با 715 نفر می­باشد؛ مطابق با جدول مورگان حجم نمونه برابر با 250 تعیین گردید؛ که به شیوه نمونه­گیری غیرتصادفی در دسترس انتخاب شدند. با استفاده از تکنیک توزیع دوجمله­ای، از بین 21 عوامل کلیدی موفقیت یادگیری الکترونیک که از پیشینه تحقیق برگرفته شده بود، 4 شاخص حذف و 17 شاخص انتخاب شدند. این 17 عامل بر اساس تکنیک تحلیل عاملی اکتشافی در 5 دسته کلی " کیفیت سیستم، شایستگی اساتید و دستیاران آموزشی، اثربخشی محتوا، تعامل اساتید و دانشجویان، و شایستگی دانشجویان"قرار گرفتند. با استفاده از تکنیک تحلیل عاملی تاییدی مرتبه اول و دوم (نرم­افزار لیزرل)، برازش مدل پیشنهادی مورد تایید قرار گرفت. نتایج اولویت­بندی عوامل کلیدی موفقیت یادگیری الکترونیک که بر اساس تکنیک فرایند تحلیل سلسله مراتبی گروهی به دست آمد، نشان داد که کیفیت برنامه­ سیستم یادگیری الکترونیک، کیفیت محتوای ارائه شده، کاربر پسند بودن سیستم یادگیری الکترونیک و سواد اطلاعاتی استاد، مهمترین عوامل موفقیت یادگیری الکترونیک بودند.

کلیدواژه‌ها


عنوان مقاله [English]

Data mining-based approach to designing a model for self-evolving leadership of school principals

نویسندگان [English]

  • S.A Siadat 1
  • M Taji 2
1 Full professor ,Faculty member Isfahan of University
2 PhD student Isfahan of University
چکیده [English]

The importance and need to evaluate the self-development of leadership among managers for the conscious development of skills, self-direction, guidance and control of leadership by many researchers. There are a lot of data and information related to the self-assessment of the leadership of the schools in schools that are unused. In this paper, in order to design a model for leadership development of school principals using the decision tree technology, firstly, the factors of tendency to self-control of leadership in school principals were surveyed by experts from two motivational perspectives and self-regulatory skills, and weights of criteria were calculated. Then, the degree of self-development was calculated for 335 school principals in Isfahan province. Finally, using the QUEST, CHAID, C5.0 and CART algorithms, there are some rules for the self-improvement of the leadership of school principals. Findings of this research show that the tendency to self-development of leadership in school principals is a priority in terms of motivation. The results of this research provide a field of knowledge that can be applied to them.

کلیدواژه‌ها [English]

  • leadership self-orientation
  • school administrators
  • Data mining
  • decision tree
Alizadeh, S., Ghazanfari, M., Teimorpour, B. (2011). Data Mining and Knowledge Discovery, Publication of Iran University of Science and Technology. 2nd ed. 2011 [Persian].
Ameri, H., Alizade, S. & Barzegari, A. (2013). Knowledge Extraction of Diabetics' Data by Decision Tree Method, Journal of health management, Vol. 16, No. 53, pages 58-72.
Ansar Fomani, G. (2015). Relationship between Job Motivation, Job Involvement and Organizational Commitment of Teachers and Managers΄ Productivity in Education Administration of Zanjan, Quarterly journal of Productivity Management, 9(32): 171-190.
Azar, A., Shafiee Tikabadi, M., Moghadam, A. & Sangi, H. (2016). Designing an Intelligent Model for talent-based person–job fit by Data Mining Approach, Journal of research in Human resources management, Vol. 8, No. 4, pages 1-33.
Boyce, L. A. (2004). Propensity for Self-Development of Leadership Attributes: Understanding, Predicting, and Supporting Performance of Leader Self-Development. Leadership Quarterly, 84-104.
Boyce, L. A., Zaccaro, S. J., & Wisecarver, M. (2010). Propensity for self-development of leadership attributes: Understanding, predicting, and supporting performance of leader self-development. Leadership Quarterly, 21(1): 159-178.
Burgoyne, J. G. (1977). Self-development, managerial success and effectiveness: some empirical evidence. Management Education and Development, 8(1): 16-20.
Chattamvelli, R. (2011). Data mining Algorithm, Alpha science.
Cropanzono, R. (1997), the relationship of organizational politics and support to work behavior, and behavior. Journal of organizational behavior, Vol. 18.
Ellinger, A. D. (2004). The concept of self-directed learning and its implications for human resource development. Advances in Developing Human Resources, 6(2): 158-177.
Emami, F. and Talebpour, M. (2013). Investigating the degree of job attachment of managers, staff and faculty members and its relationship with organizational climate in colleges of physical education and sports science all over the country, Research in academic sport, 1(2): 113-128.
Hische, M., Larhlimi, A., Schwarz, F., Fischerrosinsky, A., Bobbert, T., & Assmann, A. (2012). A distinct metabolic signature predicts development of fasting plasma glucose. J Clin Bioinfo;2:2-3.
Judge, T.A. & Bono, J.E. (2001). Relationship of core self-evaluations traits – Self-esteem, generalized self-efficacy, locus of control, and emotional stability – with job satisfaction and job performance: A meta-analysis. Journal of Applied Psychology, 86, 80-92.
Mathieu, J.E. (1991). "Across – Level Non-recursive Model of the Antecedents of Organizational Commitment and Satisfaction''. Journal of Applied psychology, V. 76. V. 5
Mathieu, John and Zajac, Dennis. (1990). "A Review and Meta – Analysis of the Antecedents. Correlates and Consequences of Organizational Commitment". Psychological Bulletin Vol. 108.
McLean, K.C., Pasupathi, M., & Pals J. L. (2007). Selves creating stories creating selves: a process model of self-development. Personality and Social Psychology Review. 11: 262-276
Meng, X. H., Huang, Y. X., Rao, D. P., Zhang, Q., & Liu, Q. (2013). Comparison of three data mining models for predicting diabetes or prediabetes by risk factors. Kaohsiung J Med Sci;29:93-9.
Murphy, S. E. (2002). Leader self-regulation: The role of self-efficacy and multiple intelligences. In R. Riggio (Ed.), multiple intelligences and leadership. Mahwah, NJ: Lawrence Erlbaum.
Nesbit, P. L., & King, E. (2013). Self-development capacity of leaders: its nature and measurement. UFHRD Conference 2013 (5 -7 June), Brighton, United 262-263.
Orvis, K A., & Leffler, G. P. (2011). Individual and contextual factors: An interactionist approach to understanding employee self-development. Personality and Individual Differences. 51. 172–177.
Rafeh, R. & Arbabi, M. (2015). Data Mining Techniques to Diagnose Diabetes Using Blood Lipids, Journal of Ilam University of Medical Science, Vol. 23, No. 4, pages 239-247.
Reichard, R. J., & Johnson, S. K. (2011). Leader self-development as organizational strategy. The Leadership Quarterly, 22, 33–42.
Sepah Mansour, M., Memar, E., Azmoudeh, M. (2012). Relationship between self-esteem and self-efficacy with persuasion in educational managers, bi-quarterly journal of social cognition, 1(2): 92-100.
Shirbagi N., Amjad Zebardast M.  & Amani S. (2016). The Study of Self-development of Principals, Leadership and its Relationship with Motivational Factors and Self-regulatory Skills, Journal of Management and Planning in Educational Systems, 2017, Vol. 9 (17), 111-130.
Snow, J. (2003). Self-Development: An Important Aspect of Leader Development. A Strategy Research Project, USAWC strategy research project.
Talebpour, M. and Emami, F. (2016). The Relationship between organizational commitment and job attachment and its comparison among male physical education instructors in the schools of the seven areas of Mashhad, Research in Sport Sciences, 4(12): 15-32.
Yoneyama, Y., Suzuki, S., Sawa, R., Yoneyama, K., Power, G. G., & Araki, T. (2002). Increased plasma adenosine concentrations and the severity of preeclampsia. Obstet Gynecol, 100(6):1266-70.
Ren, S., Collins, N., & Zhu, Y. (2014). Leadership self-development in China and Vietnam. Asia Pacific Journal of Human Resources. 52, 42–59.
Veisi, H. & Ghoravi, E. (2014). Data mining-based approach in customer relationship management and marketing, Journal of Business Management, Vol. 1, No. 2, pages 25-44.