Digital Leadership for Online and Hybrid Student Engagement: A Duoethnography With Edtech |
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Alvaro Brito Dr. Devery RodgersAudience: | Coaches, Technology coordinators/facilitators |
Attendee devices: | Devices not needed |
Topic: | Leadership |
Grade level: | PK-12 |
ISTE Standards: | For Education Leaders: Visionary Planner
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With engagement as the manifested behavior of being motivated, a few technology integration models were considered, due to their attention to behavioral attitudes in technology usage. Davis’ (1989) Technology Acceptance Model (TAM) decodes how users come to accept and use technology. The model suggests that when users are presented with a new technology, two major factors influence their decision about how and when they will use it, perceived usefulness and perceived ease-of-use. There have been two modifications of this model. The first modification (Davis, Bogozzi and Warshaw, 1989) allows for users’ intent to match actual use. The second modification (Venkatesh & Davis, 1996) as shown in Figure 1, found that external variables (i.e., multiplicity of variables from pandemic life) affect both perceived usefulness (i.e., “Can this help re-engage my learners?”) and perceived ease of use (e.g., “On top of every other pandemic balance, can I learn and maintain this systems use?”) and were found to have a direct influence on behavior intention (i.e., engagement), thus improving upon the first modification of TAM and eliminating the need for the attitude construct.
Methods for the study include a duoethnography between two K12 Education Technology Specialists of their support over the pandemic school year. Rather than framing the study within normative and oppressive discourses, the two EdTech Specialists engaged in a contextual collaboration (Lei, et al., 2004) of their support for student engagement during ERE. During a duoethnography, abilities, knowledge and experiences are recalled and explored in conversation with another (Sawyer & Norris, 2012). The foundational principles of this method are its polyvocal nature, the examination of life history as curriculum, and the intent not to profess but rather to learn from differences (Sawyer & Norris, 2015).
Discussion of results will surface themes which reveal strategies and digital tools adopted for online student engagement. Through dialogic engagement, we discover answers to the research question, “How can technology help facilitate student engagement in online and hybrid environments?” We will also answer four subquestions:
What resources were provided to educators to help pivot to online and hybrid teaching?
What type of leadership was needed to help educators re-engage their school populations in online and hybrid environments?
What strategies assisted most with student engagement?
Which digital tools assisted most in online and hybrid student engagement?
This study provides research-based and practitioner-focused promising practice techniques and real-world solutions to educators in building and maintaining a positive digital culture.
Banathy, B. H., & Jenlink, P. M. (2004). Systems inquiry and its application in education. In D. Jonassen (Ed.), Handbook of research for educational communications and technology (2nd ed., pp. 37-58). Lawrence Erlbaum Associates.
Breault, R. (2016). Emerging issues in duoethnography. International Journal of Qualitative Studies in Education, 29(6), 777-794, doi:10.1080/09518398.
Chambers, D., Scala, J. & English, D. (2020). Promising practices brief: Improving student engagement and attendance during COVID-19 school closures. U.S. Department of Education. https://insightpolicyresearch.com/wp-content/uploads/2020/08/NSAES_COVID19_Whitepaper_Final_508.pdf
D’Angelo, C. (2018). The impact of technology: Student engagement and success. Technology and the Curriculum, Summer 2018. https://techandcurriculum.pressbooks.com/chapter/engagement-and-success/
Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. http://doi.org/10.2307/249008
Davis, F.D., Bogozzi, R. & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8):982-1003. http://doi.org/10.1287/mnsc.35.8.982
Edmondson, A. C. (2012). Teaming: How organizations learn, innovate, and compete in the knowledge economy. San Francisco: Jossey-Bass.
Edmondson, A., 2018. How To Turn A Group Of Strangers Into A Team. [Video filer]
YouTube. https://youtu.be/3boKz0Exros [Accessed 15 March 2020].
Fabre, P. (2019, June 3). A duoethnography study: How people’s life histories shape their current academic beliefs. Espacios, 40(8), http://www.revistaespacios.com/a19v40n08/a19v40n08p29.pdf
Hodges, C., Moore, S., Lockee, B., Trust, T. & Bond, A. (2020, March 27). The difference between emergency remote teaching and online learning. EduCause Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
Joy, S. (2021, July 13). Students lag in learning as Covid-19 pandemic widens digital gap. Deccan Herald. https://www.deccanherald.com/national/students-lag-in-learning-as-covid-19-pandemic-widens-digital-gap-1008227.html
Khlaif, Z.N., Salha, S. & Kouraichi, B. (2021). Emergency remote learning during COVID-19 crisis: Students’ engagement. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10566-4
Klann, G. (2003). Crisis leadership: Using military lessons, organizational experiences, and the power of influence to lessen the impact of chaos on the people you lead. Greensboro, NC.: Center for Creative Leadership.
Korman, H.T.N., O’Keefe, B. & Repka, F. (2020). Missing in the margins: Estimating the scale of the COVID-19 attendance crisis. Bellwether Education Partners. https://bellwethereducation.org/publication/missing-margins-estimating-scale-covid-19-attendance-crisis#How%20did%20you%20estimate%201-3%20million%20missing%20students?
Lei, H. et al. (2004). Contextual collaboration: Platform and applications. IEEE International Conference onServices Computing. (SCC 2004). Proceedings. 2004, 2004, pp. 197-206, http://doi.org/10.1109/SCC.2004.1358007
Liberman, M. (2020, Nov 11). How hybrid learning is (and is not) working during COVID-19: 6 case studies. Education Week. https://www.edweek.org/leadership/how-hybrid-learning-is-and-is-not-working-during-covid-19-6-case-studies/2020/11
Linnenbrink, E. A. & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading & Writing Quarterly: Overcoming Learning Difficulties, 19(2), 119–137. https://doi.org/10.1080/10573560308223
Mo, S. (2011). Evidence on instructional technology and student engagement in an auditing course. Academy of Educational Leadership Journal, 15(4), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.727.5418&rep=rep1&type=pdf#page=157
Office of Civil Rights. (2021). Education in a pandemic: The disparate impacts of COVID-19 on America’s students. United States Department of Education. https://www2.ed.gov/about/offices/list/ocr/docs/20210608-impacts-of-covid19.pdf
Richards, E. (2020, Dec 12). Students are falling behind in online school. Where's the COVID-19 'disaster plan' to catch them up? USA Today. https://www.usatoday.com/in-depth/news/education/2020/12/13/covid-online-school-tutoring-plan/6334907002/
Sawyer, R. D., & Norris, J. (2012). Understanding qualitative research: Duoethnography. Cary, NC: Oxford University Press.
Sawyer, R. & Norris, J. (2015, Spr). Duoethnography: A retrospective 10 years after. International Review of Qualitative Research, 8(1), 1-4, https://doi-org.csulb.idm.oclc.org/10.1525/irqr.2015.8.1.1
Schindler, L.A., Burkholder, G.J., Morad, O.A. et al. (2017). Computer-based technology and student engagement: a critical review of the literature. International Journal of Education Technology in Higher Education, 14(25), https://doi.org/10.1186/s41239-017-0063-0
Shaked, H. (2021, May). Instructional Leadership in Times of Crises and the Goal of Schooling. In Crisis and Pandemic Leadership: Implications for Meeting the Needs of Students, Teachers, and Parents (p. 71). Rowman & Littlefield.
Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. http://doi.org/10.1287/mnsc.46.2.186.11926
As a 21st Century Learning Specialist, my role is to support students and teachers in the implementation of STEAM initiatives and innovation in the classroom. This position challenges me to assist educators in developing engaging lessons using educational technology tools and shift their pedagogy to student-centered learning. In this role I also have the great opportunity to support our Compton Unified Esports League (CUEL) and FIRST LEGO League Challenge initiatives working alongside talented and amazing coaches & partners who support friendly competition to support our STEAM initiatives.
Dr. Dev has been impacting education for over 20 years. She is engaged in a deep and long-term exploration of the application of the tenets, tools, and methods towards performance improvement in education. She is currently serving her community as a professor of Educational Leadership at California State University, Long Beach. Having taught at all levels of education, her experiences build on her goal to promote a quality education for all students.
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