Research Article

Effectiveness of In-Service Elementary School Teacher Professional Development MOOC: An Experimental Research

Eirini Tzovla 1 * , Katerina Kedraka 1 , Thanassis Karalis 2 , Marina Kougiourouki 3 , Konstantinos Lavidas 2
More Detail
1 Department of Molecular Biology & Genetics, Democritus University of Thrace, Evros, Greece2 Department of Educational Sciences & Early Childhood Education, University of Patras, Achaia, Greece3 Department of Primary Education, Democritus University of Thrace, Evros, Greece* Corresponding Author
Contemporary Educational Technology, 13(4), October 2021, ep324, https://doi.org/10.30935/cedtech/11144
OPEN ACCESS   2807 Views   1487 Downloads
Download Full Text (PDF)

ABSTRACT

Teachers’ Professional Development Massive Open Online Courses (TPD-MOOCs) are a new form of MOOCs and have influenced an intense research interest. This study reports on the design and implementation of a TPD-MOOC which utilizes digital educational content and Open Educational Recourses (OER) and supports in-service elementary school teachers to enhance their self-efficacy beliefs. In the design framework we take into consideration the findings of previous research and the educational needs of the participants. We conducted an experimental design research and compared the teachers’ self-efficacy beliefs before and after their participation in a TPD-MOOC. A total of 251 teachers enrolled in this course and 142 of them completed it. We used quantitative data to measure the enhancement of teachers’ self-efficacy beliefs and the effectiveness of the course. The results provide evidence that our TPD-MOOC improved in service elementary school teachers’ self-efficacy beliefs in teaching biological concepts. Recommendations are made for future research.

CITATION (APA)

Tzovla, E., Kedraka, K., Karalis, T., Kougiourouki, M., & Lavidas, K. (2021). Effectiveness of In-Service Elementary School Teacher Professional Development MOOC: An Experimental Research. Contemporary Educational Technology, 13(4), ep324. https://doi.org/10.30935/cedtech/11144

REFERENCES

  1. Aji, C., & Khan, M. (2019). A Flight Simulator-Based Active Learning Environment. Open Journal of Social Sciences, 7, 192-203. https://doi.org/10.4236/jss.2019.73016
  2. Aldowah, H., Al-Samarraie, H., Alzahrani, A. I., & Alalwan, N. (2019). Factors affecting student dropout in MOOCs: a cause-and-effect decision‐making model. Journal of Computing in Higher Education, 1-26. https://doi.org/10.1007/s12528-019-09241-y
  3. Angle, J., & Moseley, C. (2009). Science teacher efficacy and outcome expectancy as predictors of students’ end‐of‐instruction (EOI) biology I test scores. School Science and Mathematics, 109(8), 473-483. https://doi.org/10.1111/j.1949-8594.2009.tb18294.x
  4. Bandura, A. (1997). Self-efficacy: The exercise of control. W H Freeman/Times Books/ Henry Holt & Co.
  5. Bolam, R. (2000). Emerging policy trends: Some implications for continuing professional development. Journal of In-Service Education, 26(2), 267-280. https://doi.org/10.1080/13674580000200113
  6. Bonate P. L. (2000). Analysis of Pretest-Posttest Designs. Chapman and Hall/CRC Press. https://doi.org/10.1201/9781420035926
  7. Bruff, D. O., Fisher, D. H., McEwen, K. E., & Smith, B. E. (2013). Wrapping a MOOC: Student perceptions of an experiment in blended learning. Journal of Online Learning and Teaching, 9(2), 187-199.
  8. Cober, R., Tan, E., Slotta, J., So, H. J., & Könings, K. D. (2015). Teachers as participatory designers: Two case studies with technology-enhanced learning environments. Instructional Science, 43(2), 203-228. https://doi.org/10.1007/s11251-014-9339-0
  9. Conole, G. (2014). A new classification schema for MOOCs. The International Journal for Innovation and Quality in Learning, 2(3), 65-77.
  10. Depover, C., Karsenti, T., & Komis, V. (2017). Pour comprendre les MOOCs - Nature, enjeux et perspectives. Presses de l’Universite du Quebec.
  11. Dimitriadou, S., Lavidas, K., Karalis, T., Ravanis, K. (2021). Study engagement in university students: A confirmatory factor analysis of the Utrecht work engagement scale with Greek students. Journal of Weil-Being Assessment. https://doi.org/10.1007/s41543-021-00035-7
  12. Evans, L. (2014). Leadership for professional development and learning: Enhancing our understanding of how teachers develop. Cambridge Journal of Education, 44, 179-198. https://doi.org/10.1080/0305764X.2013.860083
  13. Field, A. (2009). Discovering statistics using IBM SPSS statistics (3rd ed.). SAGE.
  14. Firmin, R., Schiorring, E., Whitmer, J., Willett, T., Collins, E. D., & Sujitparapitaya, S. (2014). Case study: Using MOOCs for conventional college coursework. Distance Education, 35(2), 178-201. https://doi.org/10.1080/01587919.2014.917707
  15. Fishman, B., Konstantopoulos, S., Kubitskey, B. W., Vath, R., Park, G., Johnson, H., & Edelson, D. C. (2013). Comparing the impact of online and face-to-face professional development in the context of curriculum implementation. Journal of Teacher Education, 64(5), 426-438. https://doi.org/10.1177/0022487113494413
  16. Gamage, D., Perera, I., & Fernando, S. (2016). Evaluating effectiveness of MOOCs using empirical tools: Learners’ perspective. In The 10th International Technology, Education and Development Conference (pp. 8276-8284). Valencia, Spain 2016. https://doi.org/10.21125/inted.2016.0937
  17. Goh, W. W., Wong, S. Y., & Ayub, E. (2018). The effectiveness of MOOC among learners based on kirkpatrick’s model. In Redesigning learning for greater social impact (pp. 313-323). Springer, Singapore. https://doi.org/10.1007/978-981-10-4223-2_29
  18. Goodyear, P., Banks, S., Hodgson, V., & McConnell, D. (2004). Advances in research on networked learning. Kluwer Academic.
  19. Gordillo, A., López-Pernas, S., & Barra, E. (2019). Efectividad de los MOOC para docentes en el uso seguro de las TIC [Effectiveness of MOOCs for teachers in safe ICT use training]. Comunicar, 61, 103-112. https://doi.org/10.3916/C61-2019-09
  20. Gosselin, D. C., Thomas, J., Redmond, A., Larson-Miller, C., Yendra, S., Bonnstetter, R. J., & Slater, T. F. (2010). Laboratory earth: A model of online K-12 teacher coursework. Journal of Geoscience Education, 58(4), 203-213. https://doi.org/10.5408/1.3534859
  21. Greene, J. A., Oswald, C. A., & Pomerantz, J. (2015). Predictors of retention and achievement in a massive open online course. American Educational Research Journal, 52(5), 925-955. https://doi.org/10.3102/0002831215584621
  22. Haney, J. J., Wang, J., Keil, C., & Zoffel, J. (2007). Enhancing teachers’ beliefs and practices through problem-based learning focused on pertinent issues of environmental health science. The Journal of Environmental Education, 38(4), 25-33. https://doi.org/10.3200/JOEE.38.4.25-33
  23. Kaplan, A. M., & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the cookie monster. Business Horizons, 59(4), 441-450. https://doi.org/10.1016/j.bushor.2016.03.008
  24. Karalis, T., & Koutsonikos, G. (2003). Issues and challenges in organizing web-based 518 courses for adults. Themes in Education, 4(2), 177-188.
  25. Karlsson, N., Godhe, A., Bradley, L., & Lindström, B. (2014). Professional development of teachers in a MOOC. Proceedings of the 22nd International Conference on Computers in Education, 868-877. Asia-Pacific Society for Computers in Education, Japan. http://docplayer.net/139059
  26. Kedraka, K. (2008). Supporting the professional development of teachers in a school unit: 523 principles, prerequisites, and suggestions. Ta Ekpaideutika, 87-88, 111-124. [in Greek]
  27. Keefer, J. M. (2009). The critical incident questionnaire (CIQ): From research to practice and back again. In Proceedings of the 50th Annual Adult Education Research Conference (pp. 177-180). https://newprairiepress.org/aerc/2009/papers/31/
  28. Khalil, H., & Ebner, M. (2014). MOOCs completion rates and possible methods to improve retention - A literature review. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2014 (pp. 1236-1244). AACE.
  29. Koukis, N., & Jimoyiannis, A. (2017). Designing MOOCs for teacher professional development: Analysis of participants’ engagement. In A. Mesquita & P. Peres (Eds.), Proceedings of the 16th European Conference on e-Learning, ECEL 2017 (pp. 271-280). ACPI.
  30. Koukis, N., & Jimoyiannis, A. (2019). MOOCS for teacher professional development: exploring teachers’ perceptions and achievements. Interactive Technology and Smart Education, 16(1), 74-91. https://doi.org/10.1108/ITSE-10-2018-0081
  31. Lavidas, K., & Gialamas, V. (2019). Adaption and psychometric properties of the short forms Marlowe-Crowne social desirability scale with a sample of Greek university students. European Journal of Education Studies, 6(8), 230-239. https://doi.org/10.5281/zenodo.3552531
  32. Mavrikaki, E., & Athanasiou, K. (2011). Development and application of an instrument to measure Greek primary education teachers’ biology teaching self-efficacy beliefs. EURASIA Journal of Mathematics, Science and Technology Education, 7(3), 203-213. https://doi.org/10.12973/ejmste/75197
  33. Menon, S., & Banerjee, G. (2019). Evaluating effectiveness of a teacher training MOOC: Industry perspective. In 2019 IEEE Tenth International Conference on Technology for Education (T4E) (pp. 102-105). IEEE. https://doi.org/10.1109/T4E.2019.00-42
  34. Mertasari, N. M. S., & Candiasa, I. M. (2020). Improving self-efficacy in the teaching of prospective mathematics teachers by involving them in the online teacher community. Journal of Physics: Conference Series, 1516(1), 012038. https://doi.org/10.1088/1742-6596/1516/1/012038
  35. Moreno-Marcos, P. M., Muñoz-Merino, P. J., Maldonado-Mahauad, J., Pérez-Sanagustín, M., Alario-Hoyos, C., & Kloos, C. D. (2020). Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. Computers & Education, 145, 103728. https://doi.org/10.1016/j.compedu.2019.103728
  36. Oh, E. G., Chang, Y., & Park, S. W. (2019). Design review of MOOCs: Application of e-learning design principles. Journal of Computing in Higher Education, 1-21. https://doi.org/10.1007/s12528-019-09243-w
  37. Onah, D. F., Sinclair, J., & Boyatt, R. (2014). Dropout rates of massive open online courses: behavioural patterns. EDULEARN14 Proceedings, 1, 5825-5834.
  38. Ostashewski, N. (2018). MOOCs for Teachers: Understanding Learning in Networked Teacher Professional Development. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 230-233). Association for the Advancement of Computing in Education (AACE).
  39. Pavlis-Korres, M., Karalis, T., Leftheriotou, P., & Barriocanal, E.G. (2009). Integrating adults’ 568 characteristics and the requirements for their effective learning in an e-learning 569 environment, 2nd World Summit on the Knowledge Society, Chania, Greece, 16-18 570 September 2009. In M. D. Lytras, P.O. de Pablos, E. Damiani, D. Avison, A. Neave, & 571 D.G. Horner (Eds.), Best practices for the knowledge society: Knowledge, 572 learning, development and technology for all (pp. 570-584). Springer.
  40. Rahimi, E., Henze, I., Hermans, F., & Barendsen, E. (2018). Investigating the pedagogical content knowledge of teachers attending a MOOC on Scratch programming. In S. Pozdniakov & V. Dagienė (Eds.), Informatics in Schools. Fundamentals of Computer Science and Software Engineering. ISSEP 2018. Lecture Notes in Computer Science (vol. 11169, pp. 180-193). Springer, Cham. https://doi.org/10.1007/978-3-030-02750-6-14
  41. Reddy, K. R., & Pabolu, V. K. R. (2019). Case study on effectiveness of MOOCs lessons for the rural technical education. In Proceedings of International Conference on Digital Pedagogies (ICDP). https://doi.org/10.2139/ssrn.3377627
  42. Riggs, I. M., & Enochs, L. G. (1990). Toward the development of an elementary teacher’s science teaching efficacy belief instrument. Science Education, 74(6), 625-637. https://doi.org/10.1002/sce.3730740605
  43. Ross, J., Sinclair, C., Knox, J., Bayne, S., & Macleod, H. (2014). Teacher experiences and academic identity: The missing components of MOOC pedagogy. Journal of Online Learning and Teaching, 10(1), 57-69.
  44. Rozimela, Y. (2020). Developing teachers’ professionalism through school initiative-based lesson study. European Journal of Educational Research, 9(4), 1513-1526. https://doi.org/10.12973/eu-jer.9.4.1513
  45. Schroeder, A. (2019). Examining the moderating impacts of classroom experience on the relationship between elementary teachers’ beliefs and science instruction (Doctoral dissertation), Texas Tech University.
  46. Siemens, G. (2013). Massive open online courses: Innovation in education? Open Educational Resources: Innovation, Research and Practice, 5, 5-15.
  47. Swart, F., Knezic, D., Onstenk, J., & de Graaff, R. (2019). Evaluating and improving teacher educators’ languageoriented performance in content-based teaching. International Journal of Educational Methodology, 5(1), 71-86. https://doi.org/10.12973/ijem.5.1.71
  48. Sykes, G. (1996). Reform of and as professional development. Phi Delta Kappan, 77(7), 464-467.
  49. Tzovla, E., & Kedraka, K. (2020). Personal biology teaching efficacy beliefs and biology teaching outcome expectancy of in-service elementary teachers. European Journal of Education Studies, 7(10), 143-159. https://doi.org/10.46827/ejes.v7i10.3286
  50. Tzovla, E., Kedraka, K., & Kaltsidis, C. (2021). Investigating in-service elementary school teachersʼ satisfaction with participating in MOOC for teaching biological concepts. Eurasia Journal of Mathematics, Science and Technology Education, 17(3), em1946. https://doi.org/10.29333/ejmste/9729
  51. Wang, K., & Zhu, C. (2019). MOOC-based flipped learning in higher education: students’ participation, experience and learning performance. International Journal of Educational Technology in Higher Education, 16(1), 1-18. https://doi.org/10.1186/s41239-019-0163-0
  52. Yoo, J. H. (2016). The effect of professional development on teacher efficacy and teachers’ self-analysis of their efficacy change. Journal of Teacher Education for Sustainability, 18(1), 84-94. https://doi.org/10.1515/jtes-2016-0007
  53. Zhu, M., Sari, A. R., & Lee, M. M. (2020). A comprehensive systematic review of MOOC research: Research techniques, topics, and trends from 2009 to 2019. Educational Technology Research and Development, 68(4), 1685-1710. https://doi.org/10.1007/s11423-020-09798-x