Humanizing Online Discussions by remixing AI and #DigitalPowerups

Authors

DOI:

https://doi.org/10.70617/pjesgb87

Abstract

This article explores the need to humanize online learning environments while simultaneously developing students' AI literacies and essential academic skills. Fostering meaningful student engagement by integrating AI tools within the #DigitalPowerups strategy for online discussions, educators can enhance both social presence and collaborative knowledge co-construction, creating a more dynamic and interactive learning experience for students. This approach not only supports creativity, critical thinking, and interdependent thinking, but also ensures that students are equipped with the technological competencies required for success in this digital-age. Remixing these elements—humanized learning, AI literacy, and #DigitalPowerups—provides a comprehensive strategy for engaging students more deeply with course content while preparing them to navigate and thrive in modern educational and professional contexts.

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Author Biography

  • Travis N Thurston, Utah State University

    Dr. Travis N Thurston is the founding Executive Director for the Center for Empowering Teaching Excellence at Utah State University. He holds a Master of Educational Technology degree with graduate certificate in online teaching from Boise State University, and a PhD in Curriculum and Instruction from Utah State University with his dissertation focused on autonomy-supportive leadership. With expertise and experience in instructional design and higher education leadership, Dr. Thurston presents and publishes on instructional design, digital pedagogy, and the scholarship of teaching and learning (SoTL).

References

Buyserie, B., & Thurston, T.N. (2024). Teaching and generative AI: Pedagogical possibilities and productive tensions. Utah State University. https://doi.org/10.26079/7799-5bc7

Chen, B., deNoyelles, A., Patton, K., & Zydney, J. M. (2017). Creating a community of inquiry in large-enrollment online courses: An exploratory study on the effect of protocols within discussion forums. The Internet and Higher Education, 35, 58-67.

Flowerday, T., & Schraw, G. (2000). Teacher beliefs about instructional choice: A phenomenological study. Journal of Educational Psychology, 92(4), 634-645.

Garrison, D. R., Anderson, T., & Archer, W. (1999). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87-105.

Garrison, D. R., Anderson, T., & Archer, W. (2010). The first decade of the community of inquiry framework: A retrospective. The Internet and Higher Education, 13(1-2), 5-9.

Gilbert, P. K., & Dabbagh, N. (2005). How to structure online discussions for meaningful discourse: A case study. British Journal of Educational Technology, 36(1), 5-18.

Henderson, L.A., Thurston, T.N., Soyer, M., Soyer, G., & Tollefson, J. (2023). #DigitalPowerups: Creating safe and brave spaces in online discussions to support student choice and voice. In Gossard, J. & Babits, C. (Eds.), Habits of Mind: Designing Courses for Student Success. Utah State University.

Jones, S. (2017). Humanizing online teaching and learning: The impact on student success. Online Learning Journal.

Kilgore, W., Bartoletti, R., & Al Freih, M. (2018). Humanizing the online classroom: The role of teacher presence. The Online Journal of Distance Education and e-Learning.

Ferguson, K. (2023, March 21). Everything is a remix [Video]. YouTube. https://youtu.be/X9RYuvPCQUA?si=8F2DvFwKayBD2O4u

Lee, S. J., Pate, W. R., & Cozart, D. M. (2015). Autonomy support for online students. TechTrends, 59(4), 54-61.

Mardi, F. (2020). Using think alouds and digital powerups to embed computational thinking concepts while in-service teachers reflect on a math solution design project. Journal of Digital Learning in Teacher Education, 36(4), 237–249.

Mardi, F. (2022). Providing rigour, differentiation, and sense of community using a three-pronged VoiceThread discussion strategy during the pandemic. Technology, Pedagogy and Education, 31(5), 637–654.

Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2014). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1-47.

Pacansky-Brock, M. (2012). Best practices for teaching with emerging technologies. Routledge.

Patall, E. A., Cooper, H., & Wynn, S. R. (2010). The effectiveness and relative importance of choice in the classroom. Journal of Educational Psychology, 102(4), 896-915.

Reeve, J., & Jang, H. (2006). What teachers say and do to support students’ autonomy during a learning activity. Journal of Educational Psychology, 98(1), 209-218.

Salhab, R. (2024). AI literacy across curriculum design: Investigating college instructors’ perspectives. Online Learning, 28(2), 22-47. https://doi.org/10.24059/olj.v28i2.4426

Southworth, J., Marks, R., & Newman, S. (2023). Developing a model for AI across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence.

Soyer, M., Yigit, M. F., Ziyanak, S., Kasu, B. B., Thurston, T., & Suggs, J. (2024). Enhancing student learning through #DigitalPowerups: “Pushed me to be Creative”: Student discussions in environmental sociology course. Research in Social Sciences and Technology, 9(1), 1-30.

Stanford Teaching Commons (2024). Creating your course policy on AI. Stanford University. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/creating-your-course-policy-ai

Whiteside, A. L., Dikkers, A. G., & Swan, K. (2023). Social presence in online learning: Multiple perspectives on practice and research. Taylor & Francis.

Xia, Q., Chiu, T.K.F., Lee, M., Sanusi, I.T., Dai, Y., & Chai, C.S. (2022). A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Computers and Education: Artificial Intelligence, 3(1), 100-115.

Xie, K., & Ke, F. (2011). The role of students’ motivation in peer-moderated asynchronous online discussions. British Journal of Educational Technology, 42(6), 916-930.

Yang, D., Yeh, H. C., & Won, S. (2010). The effects of instructional and peer feedback on student cognitive load and performance in multimedia task-based learning. Educational Technology Research and Development, 58(5), 507-528.

Yi, Y. (2021). Establishing the concept of AI literacy: Focusing on competence and purpose. Journal of Educational Technology & Society, 24(3), 100-110.

Published

2024-10-23

How to Cite

Thurston, T. (2024). Humanizing Online Discussions by remixing AI and #DigitalPowerups. Journal of Educational Impact, 1(1), 3-12. https://doi.org/10.70617/pjesgb87