فصلنامه پژوهش و برنامه ریزی در آموزش عالی

ساخت و اعتبارسنجی مقیاس سنجش مهارت‌های خودرهیابی دانشجویان در دوره‌های یادگیری الکترونیکی دوران کرونا

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه بوعلی سینا

2 دانشگاه محقق اردبیلی

10.61838/irphe.29.1.6

چکیده

پژوهش حاضر با هدف ساخت و اعتبار سنجی مقیاس سنجش مهارت­های خودرهیابی دانشجویان در دوره­های یادگیری الکترونیکی دوران کرونا انجام شد. روش­شناسی پژوهش از نوع پیمایشی و توصیفی- همبستگی بود. جامعۀ آماری پژوهش را دانشجویان دانشگاه­های کشور در سال تحصیلی 1399-1400 تشکیل می‌دادند. روش نمونه‌گیری از نوعِ در دسترس بود. حجم نمونه با توجه به مدل کرجسی- مورگان و با در نظر گرفتن خطای 05/0 =α، 620 نفر تعیین شد. برای جمع‌آوری داده‌ها از پرسشنامه‌ محقق ساخته­ خودرهیابی استفاده شد. روایی ابزار، با استفاده از نظر استادان صاحب نظر، تأیید و پایایی ابزار در ضریب آلفای کرونباخ 95/0 محاسبه گردید. نتایج تحلیل عاملی اکتشافی به روش عامل­یابی عناصر اصلی و با در نظر گرفتن بار عاملی بیش از 40/0 نشان داد که سه عامل خودانگیختگی، تشخیص نیازهای یادگیری، مسئولیت­پذیری در یادگیری الکترونیکی قابل استخراج است و 285/55 درصد از واریانس کل را تبیین می­کند. به طور کلی، عامل­های پرسشنامه خودرهیابی تدوین شده تا حدود زیادی ابعاد مستقل و مجزای مقیاس خودرهیابی را اندازه­گیری می­کنند و ابزاری روا و مناسب هستند.

کلیدواژه‌ها

عنوان مقاله [English]

Making and Validating of a Scale for Measuring Students' Self- Directed Skills in E-learning Courses at the Corona Virus Era

نویسندگان [English]

  • Farhad Seraji 1
  • Ebrahim Aryani Gizgapan 2

1 Bu- Ali Sina University

2 haggeg Ardebili

چکیده [English]

This study aimed for making and validating of a scale to measure students' self- directed skills in E-learning courses during Corona virus. The research methodology was survey and cross-correlation research. The statistical population of the study consisted of students of the country's universities in the academic year of 2020-21. A random convenience sampling method was chosen for this study. The sample size was determined to be 620 people according to the Krejci-Morgan model (α=0.05). A researcher-made self-administered questionnaire was used to collect data.  The validity of the tool was calculated by using the opinion of expert professors, and the reliability of the instrument was calculated with Cronbach's alpha coefficient of 0.95. The results of exploratory factor analysis, using the main elements factorization method and considering the factor load more than 0.40, showed that three factors of spontaneity, recognition of learning needs, and responsibility in learning can be extracted and explain 55.285% of the total variance. In general, the factors of the self-administrated questionnaire measure the independent and separate dimensions of the Self-directed learning scale to a large extent, and it is a valid and appropriate tool.

کلیدواژه‌ها [English]

  • Validation
  • Self- directed learning
  • Students
  • E-learning
  • Corona virus era
  1. Aboagye, E., Yawson, J. A., & Appiah, K. N. (2021). “COVID-19 and E-learning: The challenges of students in tertiary institutions”. Social Education Research, 2(1) 1-18.
  2. Al-Adwan, A. S., & Khdour, N. (2020). “Exploring student readiness to MOOCs in Jordan: A structural equation modelling approach”. Journal of Information Technology Education: Research, 19, 223-242.
  3. Atkinson, J. K., & Blankenship, R. (2009). “Online learning readiness of undergraduate college students: A comparison between male and female learners”. Learning in Higher Education, 49. 14-29.
  4. Ausbum, L. J. (2002). “The freedom versus focus dilemma in a customized self-directed learning environment: a comparison of the perceptions of adult and younger students”. Community College. Journal of Research and Practice, 26, 3, 225–235.
  5. Biehler, R. F. & Snowman, T. (1990). Psychology applied to teaching.
    Sixth edition, Boston, Houghton Mifflin Company. Available in: Ferdosy
    University.
  6. Bonk, C. J., Lee, M. M., Kou, X., Xu, S., & Sheu, F.-R. (2015). “Understanding the Self-Directed Online Learning Preferences, Goals, Achievements, and Challenges of MIT OpenCourseWare Subscribers”. Educational Technology & Society, 18 (2), 349–368.
  7. Chu, R. J., Chu, A. Z., Weng, C., Tsai, Ch. Ch., Lin, Ch. (2012). “Transformation for adults in an Internet-based learning environment—is it necessary to be self-directed?”. British Journal of Educational Technology.42 (2):205-216.
  8. R. J. C & Tsai. C. C. (2009). “Self-directed learning readiness, Internet self-efficacy and preference towards constructivist Internet based learning environments among higher-aged adults”. Journal of Computer Assisted Learning. 25. 489–501.
  9. Chung, E., Noor, N. M., & Mathew, V. N. (2020). “Are you ready? An assessment of online learning readiness among university students”. International Journal of Academic Research in Progressive Education and Development, 9(1), 301-317.
  10. Cigdem, H. (2014). “Effects of students’ characteristics on online learning readiness: A vocational college example”. Turkish Online Journal of Distance Education, 15(3), 80-93.
  11. H., Hummel. H., Vanden Berg. B., Eshuis. J., Waterink. W., Nadolski. R., Berlanga. A., Boers. N., & Koper. R. (2009). “Effects of the ISIS Recommender System for navigation support in self-organized Learning Networks”. Educational Technology &Society, 12 (3), 115–126.
  12. R. (2009).1000/0 online student success. Delmar: Cengage Learning.
  13. Dynan, L., Cate, T., & Rhee, K. (2008). “The impact of learning structure on students’ readiness for self-directed learning”. Journal of Education for Business, 84(2), 96-100.
  14. Fisher, M., King, J., Tague, G. (2001). “Development of a self-directed learning readiness scale for nursing education”. Nurse Education Today, 21(7), 516–525.
  15. Garrison, D.R. (1997). “Self-Directed learning Toward a Comprehensive
    model”. Adult Education Quarterly, 48 (1), 16-18.
  16. Geng, S., Law, K. M., & Niu, B. (2019). “Investigating self-directed learning and technology readiness in blending learning environment”. International Journal of Educational Technology in Higher Education, 16(1), 1-22.
  17. Guglielmino, L. M. (1977). Development of the self-directed learning readiness scale (Doctoral dissertation). Retrieved from ProQuest database. (Accession no. 302856217).
  18. Hasani, L. M., Adnan, H. R., Sensuse, D. I., & Suryono, R. R. (2020, September). Factors Affecting Student’s Perceived Readiness on Abrupt Distance Learning Adoption: Indonesian Higher-Education Perspectives. In 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)(pp. 286-292). IEEE.
  19. Jaleel, S., Anuroofa, O. M. (2017). “A Study on the Relationship between Self- Directed Learning and Achievement in Information Technology of Students at Secondary Level”. Universal Journal of Educational Research. 5(10), 1849-1852.
  20. Jung, I., & Lee, J. (2020). “The effects of learner factors on MOOC learning outcomes and their pathways”. Innovations in Education and Teaching International, 57(5), 565-576.
  21. Karatas, K., & Arpaci, I. (2021). “The Role of Self-directed Learning, Metacognition, and 21st Century Skills Predicting the Readiness for Online Learning”. Contemporary Educational Technology, 13(3), 283-300.
  22. Lounsbury, J. W., Levy, J. J., Park, S. H., Gibson, L. W., & Smith, R. (2009). “An investigation of the construct validity of the personality trait of self-directed learning”. Learning and Individual Differences. 19(4), 411-18.
  23. Loyens, S. M., Magda, J., Rikers, R. J. P. (2008). “Self-directed learning in problem-based learning and itsrelationships with self-regulated learning”. Educational Psychology Review, 20(4), 411–427.
  24. Luciane V. Mello (2016). “Fostering postgraduate student engagement: online resources supporting self-directed learning in a diverse cohort”. Research in Learning Technology, 24(1), 231-245.
  25. Muilenburg, L. Y., & Berge, Z. L. (2005). “Student barriers to online learning: A factor analytic study”. Distance education, 26(1), 29-48.
  26. Merriam, S. B., Bierema, L. L. (2014). Adult learning: Linking theory and practice. San Francisco, CA: Jossey-Bass.
  27. Merriam, S., Caffarella, R., & Baumgartner, L. (2007). Learning in adulthood: a comprehensive guide (3rd ed.)San Francisco: John Wiley.
  28. Pan, X. (2020). “Technology Acceptance, Technological Self-Efficacy, and Attitude toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator”. Frontiers in Psychology, 11(1), 78-99.
  29. Park, H. (2013). “Effect of self-directed learning readiness by learner’s interaction on social network games”. Journal of Cases on Information Technology, 15(3), 47–60.
  30. Parkes, M., Stein, S., & Reading, C. (2015). “Student preparedness for university e-learning environments”. The Internet and Higher Education, 25, 1-10.
  31. (2009). “Modeling spaces for self-directed learning at university courses”. Educational Technology & Society, 12 (3), 23–43.
  32. Piskurich,G.M.(Ed.)(2004). Getting the Most from Online Learning. SanFrancisco, USA: Pfeiffer.
  33. Rajagopal, K., Firssova, O., de Beeck, I. O., Van der Stappen, E., Stoyanov, S., Henderikx, P., & Buchem, I. (2020). “Learner skills in open virtual mobility”. Research in Learning Technology, 28(2), 23-39.
  34. Rashid, T., & Asghar, H. M. (2016). “Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations”. Computers in Human Behavior, 63, 604-612.
  35. F(2011). “Virtual learning environment as an opportunity for improving learning culture”. Rahbord Farhang, 17, 37-51.
  36. Snell, L. (2000). The link between self-directed learning and continuing medical education. Almanac/Alliance for CME, 22(8), 1-3.
  37. Song, L., Hill, J. R. (2007). “A conceptual model for understanding self-directed learning in online environments”. Journal of Interactive Online Learning, 6(1), 27–41.
  38. Suh, H. N., Wang, K. T., & Arterberry, B. J. (2015). “Development and initial validation of the Self-Directed Learning Inventory with Korean college students”. Journal of Psychoeducational Assessment,33(7), 687–697
  39. Sumuer, E. (2018). “Factors related to college students’ self-directed learning with technology”. Australasian Journal of Educational Technology, 34(4):29-43.
  40. Timothy, T., Chee, T. S., Beng, L. C., Sing, C. C., Ling, K. J. H., Li, C. W., & Mun, C. H. (2010). “The self-directed learning with technology scale (SDLTS) for young students: An initial development and validation”. Computers & Education, 55(4), 1764-1771.
  41. Teo, T., Tan, S., Lee, C., Chai, C., Koh, J., Chen, W., & Cheah, H. (2010). “The self-directed learning with technology scale (SDLTS) for young students: An intial development and validation”. Computers and Education, 55, 1764-1771.
  42. A., Ubuz, B. (2008). “The Effects of Metacognitive Knowledge on the Preservice Teachers’ Participation in the Asynchronous Online Forum”. Educational Technology & Society, 11 (3), 1-12.
  43. Tough, A. (1971). The adult’s learning projects: A fresh approach to theory and practice in adult learning. Toronto: Ontario Institute for Studies in Education.
  44. Yang, H., Su, J., & Bradley, K. D. (2020). “Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students”. International Review of Research in Open and Distributed Learning, 21(3), 99-120.
  45. Yu, Taeho(2014). “An exploratory factor analysis and reliability analysis of the student online learning readiness (SOLR) instrument”. Open Access Dissertations. 397.
  46. Watkins, R., Leigh, D., & Triner, D. (2004). “Assessing readiness for e‐learning”. Performance Improvement Quarterly, 17(4), 66-79.
  47. Williams, B. (2004). “Self - direction in problem based learning program”. Nurse education today. 24, 277-285.
  48. Williamson, S. N. (2007). “Development of a self-rating scale of self-directed learning”. Nurse Researcher, 14(2), 66- 83.
  49. Zhu, M., & Bonk, C. J. (2019). “Designing MOOCs to Facilitate Participant Self-Monitoring for Self-Directed Learning”. Online Learning, 23(4), 106-134.

Zhu, M., Bonk, C. J., & Doo, M. Y. (2020). “Self-directed learning in MOOCs: Exploring the relationships among motivation, self-monitoring, and self-management”. Education and information Technologies. 25(2), 1-21.

فصلنامه پژوهش و برنامه ریزی در آموزش عالی
دوره 29، شماره 1 - شماره پیاپی 107
خرداد 1402
صفحه 139-159