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Journal of Science Education and Technology

Erschienen in:

28.03.2022

Transitioning to Online Teaching During the COVID-19 Pandemic: an Exploration of STEM Teachers’ Views, Successes, and Challenges

verfasst von: Isha DeCoito, Mohammed Estaiteyeh

Erschienen in: Journal of Science Education and Technology | Ausgabe 3/2022

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Abstract

Due to the COVID-19 pandemic, school closures were mandated by governments across the globe. This necessitated an abrupt shift to online/distance teaching. Through a mixed-methods study, the authors explored STEM teachers’ transition to online teaching and learning in a Canadian context. This subset of the larger study investigated (i) teachers’ views of and attitude toward online teaching and (ii) successes and challenges encountered with online teaching. Data were collected through an online questionnaire administered to 70 Grade 1–12 science/STEM subject teachers in a Canadian province between May and July 2020. Findings are discussed through the lens of self-efficacy theory and the technological pedagogical content knowledge (TPACK) framework. Results indicate that despite few successes, teachers faced a wide array of challenges that negatively affected their attitudes and views toward online teaching, and that the support received did not parallel their expectations. Teachers’ experiences, self-efficacy, and technological competency slightly enhanced their views of online teaching but were not sufficient to shift their mindset. Recommendations include effective professional development initiatives and support for teachers to facilitate teachers’ transition and enhance their personal views toward online teaching.

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Aldunate, R., & Nussbaum, M. (2013). Teacher adoption of technology. Computers in Human Behavior, 29(3), 519–524. https://doi.org/10.1016/j.chb.2012.10.017CrossRef

Álvarez, I., Guasch, T., & Espasa, A. (2009). University teacher roles and competencies in online learning environments: A theoretical analysis of teaching and learning practices. European Journal of Teacher Education, 32(3), 321–336.CrossRef

Amasha, M. A., Abougalala, R. A., Reeves, A. J., & Alkhalaf, S. (2018). Combining online learning & assessment in synchronization form. Education and Information Technologies, 23(6), 2517–2529. https://doi.org/10.1007/s10639-018-9728-0CrossRef

Anderson, I. (2019, March 15). Education that works for you—Modernizing classrooms. News.Ontario.Ca. https://news.ontario.ca/en/backgrounder/51531/education-that-works-for-you-modernizing-classrooms

Angelides, P. (2004). Generation division in Cyprus education? Different attitudes to education from younger and older teachers. Educational Review, 56(1), 65–76. https://doi.org/10.1080/0013191032000152282CrossRef

Arnesen, K. T., Hveem, J., Short, C. R., West, R. E., & Barbour, M. K. (2019). K-12 online learning journal articles: Trends from two decades of scholarship. Distance Education, 40(1), 32–53.CrossRef

Badia, A., Garcia, C., & Meneses, J. (2017). Approaches to teaching online: Exploring factors influencing teachers in a fully online university: Factors influencing approaches to teaching online. British Journal of Educational Technology, 48(6), 1193–1207. https://doi.org/10.1111/bjet.12475CrossRef

Bandura, A. (1995). Self-efficacy in changing societies. Cambridge University Press.CrossRef

Barberà, E., Gómez-Rey, P., & Fernández-Navarro, F. (2016). A cross-national study of teacher’s perceptions of online learning success. Open Learning: THe Journal of Open, Distance and e-Learning, 31(1), 25–41.CrossRef

Barnes, J. K., Guin, A., & Allen, K. (2018). Training needs and online learning preferences of early childhood professionals. Journal of Early Childhood Teacher Education, 39(2), 114–130.CrossRef

Barron Rodriguez, M. R., Cobo Romani, J. C., Munoz-Najar, A., & Sanchez Ciarrusta, I. A. (2021). Remote Learning During the Global School Lockdown : Multi-Country Lessons (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/668741627975171644/Remote-Learning-During-the-Global-School-Lockdown-Multi-Country-Lessons

Baturay, M. H., Gökçearslan, S., & Sahin, S. (2017). Associations among teachers’ attitudes towards computer-assisted education and TPACK competencies. Informatics in Education, 16(1), 1–23.CrossRef

Bekele, T. A., & Menchaca, M. P. (2008). Research on internet-supported learning: A review. Quarterly Review of Distance Education, 9(4), 373.

Birk, A., Dineva, E., Maurelli, F., & Nabor, A. (2020). A robotics course during COVID-19: Lessons learned and best practices for online teaching beyond the pandemic. Robotics, 10(1), 5. https://doi.org/10.3390/robotics10010005CrossRef

Bray-Clark, N., & Bates, R. (2003). Self-efficacy beliefs and teacher effectiveness: Implications for professional development. Professional Educator, 26(1), 13–22.

Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32. https://doi.org/10.1016/j.iheduc.2017.01.004CrossRef

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007CrossRef

Connolly, P. (2007). Quantitative data analysis in education: A critical introduction using SPSS. Routledge.

Cook, D. A., & Steinert, Y. (2013). Online learning for faculty development: A review of the literature. Medical Teacher, 35(11), 930–937.CrossRef

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications, Inc.

Davis, E. A., Petish, D., & Smithey, J. (2006). Challenges new science teachers face. Review of Educational Research, 76(4), 607–651.CrossRef

Davis, J., Lennox, S., Walker, S., & Walsh, K. (2007). Exploring staff perceptions: Early childhood teacher educators examine online teaching and learning challenges and dilemmas. International Journal for the Scholarship of Teaching and Learning, 1(2), n2.

DeCoito, I. (2016). STEM education in canada: A knowledge synthesis. Canadian Journal of Science, Mathematics and Technology Education, 16(2), 114–128. https://doi.org/10.1080/14926156.2016.1166297.CrossRef

DeCoito, I., & Richardson, T. (2018). Teachers and technology: Present practice and future directions. Contemporary Issues in Technology and Teacher Education, 18(2), 362–378.

De Paepe, L., Zhu, C., & Depryck, K. (2018). Online Dutch L2 learning in adult education: Educators’ and providers’ viewpoints on needs, advantages and disadvantages. Open Learning: THe Journal of Open, Distance and e-Learning, 33(1), 18–33.CrossRef

Dietrich, J., Greiner, F., Weber-Liel, D., Berweger, B., Kämpfe, N., & Kracke, B. (2021). Does an individualized learning design improve university student online learning? A randomized field experiment. Computers in Human Behavior, 122, 106819. https://doi.org/10.1016/j.chb.2021.106819CrossRef

Dipietro, M. (2010). Virtual school pedagogy: The instructional practices of K-12 virtual school teachers. Journal of Educational Computing Research, 42(3), 327–354. https://doi.org/10.2190/EC.42.3.eCrossRef

Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: Exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30(3), 452–465.CrossRef

Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Psychology Press.

Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich college publishers.

Eberle, J., & Hobrecht, J. (2021). The lonely struggle with autonomy: A case study of first-year university students’ experiences during emergency online teaching. Computers in Human Behavior, 121, 106804. https://doi.org/10.1016/j.chb.2021.106804CrossRef

Eichler, J. F., & Peeples, J. (2013). Online homework put to the test: A report on the impact of two online learning systems on student performance in general chemistry. Journal of Chemical Education, 90(9), 1137–1143.CrossRef

Faber, J. M., Luyten, H., & Visscher, A. J. (2017). The effects of a digital formative assessment tool on mathematics achievement and student motivation: Results of a randomized experiment. Computers & Education, 106, 83–96.CrossRef

Gaytan, J., & McEwen, B. C. (2007). Effective online instructional and assessment strategies. American Journal of Distance Education, 21(3), 117–132. https://doi.org/10.1080/08923640701341653CrossRef

Geeraerts, K., Tynjälä, P., & Heikkinen, H. L. T. (2018). Inter-generational learning of teachers: What and how do teachers learn from older and younger colleagues? European Journal of Teacher Education, 41(4), 479–495. https://doi.org/10.1080/02619768.2018.1448781CrossRef

Gemino, A., Roche, B., & Lubik, S. (2018). Mindset matters: Encouraging an entrepreneurial mindset in K-12 curriculum. SFU Beedie School of Business. beedie.sfu.ca/ccie

Goldstein, S., Brooks, R., & DeVries, M. (2013). Translating resilience theory for application with children and adolescents by parents, teachers, and mental health professionals. In Resilience in children, adolescents, and adults (pp. 73–90). Springer.

Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis. Journal of Educational Computing Research, 57(2), 283–319. https://doi.org/10.1177/0735633117748416CrossRef

Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., & Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153, 103897. https://doi.org/10.1016/j.compedu.2020.103897CrossRef

Hodges, C. B., & Fowler, D. J. (2020). The COVID-19 crisis and faculty members in higher education: From emergency remote teaching to better teaching through reflection. International Journal of Multidisciplinary Perspectives in Higher Education, 5(1), 118–122.CrossRef

Hodges, C. B., Moore, S., Lockee, B. B., Trust, T., & Bond, M. A. (2020). The difference between emergency remote teaching and online learning. Educase Review, 27. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning

Hofer, S. I., Nistor, N., & Scheibenzuber, C. (2021). Online teaching and learning in higher education: Lessons learned in crisis situations. Computers in Human Behavior, 121, 106789. https://doi.org/10.1016/j.chb.2021.106789CrossRef

Hoffman, E. B. (2018). Untangling the talk: A new multimodal discourse analysis method to investigate synchronous online learning. Journal of Digital Learning in Teacher Education, 34(3), 179–195. https://doi.org/10.1080/21532974.2018.1453895CrossRef

Hung, W.-C., & Jeng, I. (2013). Factors influencing future educational technologists’ intentions to participate in online teaching. British Journal of Educational Technology, 44(2), 255–272. https://doi.org/10.1111/j.1467-8535.2012.01294.xCrossRef

Johnson, N. (2020). Tracking online education in Canadian universities and colleges: National survey of online and digital learning 2019 Ontario report. Canadian Digital Learning Research Association. http://www.cdlra-acrfl.ca/wpcontent/uploads/2020/07/2019_regional_ontario_en.pdf

Jung, I. (2005). ICT-pedagogy integration in teacher training: Application cases worldwide. Journal of Educational Technology & Society, 8(2), 94–101.

Kennedy, K., & Archambault, L. (2012). Offering preservice teachers field experiences in K-12 online learning: A national survey of teacher education programs. Journal of Teacher Education, 63(3), 185–200. https://doi.org/10.1177/0022487111433651CrossRef

Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70.

Lao, T., & Gonzales, C. (2005). Understanding online learning through a qualitative description of profesors and students’ experiences. Journal of Technology and Teacher Education, 13(3), 459–474.

Leire, C., McCormick, K., Richter, J. L., Arnfalk, P., & Rodhe, H. (2016). Online teaching going massive: Input and outcomes. Journal of Cleaner Production, 123, 230–233. https://doi.org/10.1016/j.jclepro.2015.12.014CrossRef

Lohr, A., Stadler, M., Schultz-Pernice, F., Chernikova, O., Sailer, M., Fischer, F., & Sailer, M. (2021). On powerpointers, clickerers, and digital pros: Investigating the initiation of digital learning activities by teachers in higher education. Computers in Human Behavior, 119, 106715. https://doi.org/10.1016/j.chb.2021.106715CrossRef

Lowenthal, P., Snelson, C., & Perkins, R. (2018). Teaching massive, open, online, courses (MOOCs): Tales from the front line. International Review of Research in Open and Distributed Learning, 19(3).

McVey, M. (2016). Preservice teachers’ perception of assessment strategies in online teaching. Journal of Digital Learning in Teacher Education, 32(4), 119–127. https://doi.org/10.1080/21532974.2016.1205460CrossRef

Merriam-Webster. (n.d.). Dictionary. In Merriam-Webster.com dictionary. Retrieved February 16, 2021, from https://www.merriam-webster.com/dictionary/dictionary

Mouza, C. (2016). Developing and assessing TPACK among pre-service teachers: A synthesis of research. In Handbook of technological pedagogical content knowledge (TPACK) for educators (pp. 179–200). Routledge.

Pangrazio, L. (2018). Young people’s literacies in the digital age: Continuities, conflicts and contradictions. Routledge.CrossRef

Parker, C., Scott, S., & Geddes, A. (2019). Snowball sampling. SAGE Research Methods Foundations.

Pringle, R. M., Dawson, K., & Ritzhaupt, A. D. (2015). Integrating science and technology: Using technological pedagogical content knowledge as a framework to study the practices of science teachers. Journal of Science Education and Technology, 24(5), 648–662. https://doi.org/10.1007/s10956-015-9553-9CrossRef

Recker, M., Sellers, L., & Ye, L. (2013). Teacher design using online learning resources: A comparative case study of science and mathematics teachers. Education Research International, 2013, 1–11. https://doi.org/10.1155/2013/243248CrossRef

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.3730740605CrossRef

Rohleder, P., Bozalek, V., Carolissen, R., Leibowitz, B., & Swartz, L. (2008). Students’ evaluations of the use of e-learning in a collaborative project between two South African universities. Higher Education, 56(1), 95–107. https://doi.org/10.1007/s10734-007-9091-3CrossRef

Saadé, R. G., He, X., & Kira, D. (2007). Exploring dimensions to online learning. Computers in Human Behavior, 23(4), 1721–1739. https://doi.org/10.1016/j.chb.2005.10.002CrossRef

Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26(3–4), 207–231.CrossRef

Selvaraj, A., Radhin, V., Nithin, K. A., Benson, N., & Mathew, A. J. (2021). Effect of pandemic based online education on teaching and learning system. International Journal of Educational Development, 85, 102444. https://doi.org/10.1016/j.ijedudev.2021.102444

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.CrossRef

Smith, A. C., Warren, J. M., & Ting, S. M. R. (2018). Developing online learning in the helping professions: Online, blended, and hybrid models. Springer Publishing Company.

Smith, S. J., Basham, J., Rice, M. F., & Carter, R. A. (2016). Preparing special educators for the K–12 online learning environment: A survey of teacher educators. Journal of Special Education Technology, 31(3), 170–178. https://doi.org/10.1177/0162643416660834CrossRef

Stake, R. (2020). Case studies. In Handbook of qualitative research (pp. 435–454). Sage.

Stoetzel, L., & Shedrow, S. (2020). Coaching our coaches: How online learning can address the gap in preparing K-12 instructional coaches. Teaching and Teacher Education, 88, 102959. https://doi.org/10.1016/j.tate.2019.102959

Tallent-Runnels, M. K., Thomas, J. A., & Lan, W. Y. (2006). Teaching courses online: A review of the research. Review of Educational Research, 76(1), 93–135. https://doi.org/10.3102/00346543076001093CrossRef

Thoms, B., & Eryilmaz, E. (2014). How media choice affects learner interactions in distance learning classes. Computers and Education, 75, 112–126. https://doi.org/10.1016/j.compedu.2014.02.002CrossRef

Tinoca, L., & Oliveira, I. (2013). Formative assessment of teachers in the context of an online learning environment. Teachers and Teaching, 19(2), 214–227. https://doi.org/10.1080/13540602.2013.741836CrossRef

Tschannen-Moran, M., & Hoy, A. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783–805. https://doi.org/10.1016/S0742-051X(01)00036-1CrossRef

van Ginkel, S., Gulikers, J., Biemans, H., Noroozi, O., Roozen, M., Bos, T., van Tilborg, R., van Halteren, M., & Mulder, M. (2019). Fostering oral presentation competence through a virtual reality-based task for delivering feedback. Computers & Education, 134, 78–97. https://doi.org/10.1016/j.compedu.2019.02.006CrossRef

Vivolo, J. (2019). Overview of online learning and an (un)official history. In Managing online learning: The lifecycle of successful programs (pp. 7–17). Routledge.

Vonderwell, S., Liang, X., & Alderman, K. (2007). Asynchronous discussions and assessment in online learning. Journal of Research on Technology in Education, 39(3), 309–328. https://doi.org/10.1080/15391523.2007.10782485CrossRef

Voogt, J., Fisser, P., Pareja Roblin, N., Tondeur, J., & van Braak, J. (2013). Technological pedagogical content knowledge–A review of the literature. Journal of Computer Assisted Learning, 29(2), 109–121.CrossRef

Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.CrossRef

Woolfolk, A. E., Winne, P. H., Perry, N. E., & Shapka, J. (2009). Educational psychology (4th Canadian ed.).

Yeung, A. H., Chu, C. B., Chu, S.K.-W., & Fung, C. K. (2018). Exploring junior secondary students’ plagiarism behavior. Journal of Librarianship and Information Science, 50(4), 361–373.CrossRef

Zhang, Y., & Lin, C.-H. (2020). Student interaction and the role of the teacher in a state virtual high school: What predicts online learning satisfaction? Technology, Pedagogy and Education, 29(1), 57–71. https://doi.org/10.1080/1475939X.2019.1694061CrossRef

Titel: Transitioning to Online Teaching During the COVID-19 Pandemic: an Exploration of STEM Teachers’ Views, Successes, and Challenges
verfasst von: Isha DeCoito
Mohammed Estaiteyeh
Publikationsdatum: 28.03.2022
Verlag: Springer Netherlands
Erschienen in: Journal of Science Education and Technology / Ausgabe 3/2022
Print ISSN: 1059-0145
Elektronische ISSN: 1573-1839
DOI: https://doi.org/10.1007/s10956-022-09958-z

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