Academic Publications
Selected Publications
Topics:
Online Learning and Teaching
Teacher Education and Professional Development
Artificial Intelligence (AI)
Immersive Learning and Teaching (XR)
Upskilling, Reskilling, and Lifelong Learning
Online Learning and Teaching
These two articles articulate opportunities for next-generation online learning created by the pandemic.
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Dede, C., & Lidwell, W. (2023). Developing a next-generation model for massive digital learning. Education Sciences 13, no. 8: 845. https://doi.org/10.3390/educsci13080845
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Dede, C. (2022). The Coming Sea-Change in Teacher Education. Journal of Technology and Teacher Education, 30(2), 117-125. Waynesville, NC USA: Society for Information Technology & Teacher Education. https://www.learntechlib.org/primary/p/221170/
This article describes the unique role in advancing online learning played by the Silver Lining for Learning podcast
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Dede, C., Zhao, Y., Mishra, P., and Bonk. C. (2021). The Silver Lining for Learning webcasts as a bottom-up driver of global educational innovation. Journal of Digital Politics 1(3), 523-542. doi: 10.53227/103803
This article about online communities of practice is one of several describing the outcomes of NSF-funded research on how Advanced Placement Science teachers accomplished the capacity building challenges created by shifts in the AP exams.
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Frumin, K., Dede, C., Fischer, C., Foster, B., Lawrenz, F., Eisenkraft, A., Fishman, B., Levy, A.J. & McCoy, A. (2018) Adapting to large-scale changes in Advanced Placement Biology, Chemistry, and Physics: The Impact of Online Teacher Communities, International Journal of Science Education, 40:4, 397-420, DOI:10.1080/09500693.2018.1424962
Teacher Education and Professional Development
These two articles describe research on using “digital puppeteering” can aid teachers in practicing complex instructional skills.
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Bondie, R., Zushko, A., Wiseman, E. Dede, C., & Rich, D. (2023). Can differentiated and personalized mixed reality simulations transform teacher learning? Technology Mind Behavior
doi.org/10.1037/tmb0000098
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Bondie, R., & Dede, C. (2021). Redefining and Transforming Field Experiences in Teacher Preparation through Personalized Mixed-Reality Simulations. In R.E. Ferdig & K.E. Pytash (Eds.), What teacher educators should have learned from 2020, pp. 229-242. Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/219088/.
This article is one of several describing the outcomes of NSF-funded research on how Advanced Placement Science teachers accomplished the capacity building challenges created by shifts in the AP exams.
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Fischer, C., Fishman, B., Dede, C., Eisenkraft, E., Foster, B., Frumin, K., Lawrenz, F., Levy, A., & McCoy, A. (2018). Investigating relationships between school context, teacher professional development, teaching practices, and student achievement in response to a nationwide science reform. Teaching and Teacher Education, 72, 107-121. https://doi.org/10.1016/j.tate.2018.02.011
This Handbook chapter, closer in length to a short book, synthesizes research on the use of technology in teaching.
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Fishman, B., & Dede, C. (2016). Teaching and technology: New tools for new times. In D. Gitomer & C. Bell (Eds.), Handbook of Research on Teaching, 5th Edition (American Educational Research Association), pp. 1269-1334. New York, NY: Springer.
Artificial Intelligence (AI)
This article provides an overview of the National AI Institute on Adult Learning and Online Education.
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Goel, A., Dede, C., Garn, M., & Ou, C. (2024). AI-ALOE: AI for Reskilling, Upskilling, and Workforce Development. AI Magazine 45: 77–82. https://doi.org/10.1002/aaai.12157
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These two articles highlight the ethical challenges posed by artificial intelligence and Big Data in education.
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Dieterle, E, Dede, D., & Walker, M. (2022). The Cyclical Ethical Effects of Using Artificial Intelligence in Education. AI & Society DOI: 10.1007/s00146-022-01497-w
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Dede. C., Ho, A., & Mitros. P. (2016) Big Data analysis in higher education: Promises and Pitfalls. EDUCAUSE Review, 51, 5 (September/October 2016), 22-34.
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This article describes ways “digital puppeteering” can empower the learning and practice of negotiation skills.
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Dinnar, S., Dede, C., Johnson, E., Straub, C., & Korjus, K. (2021). Artificial intelligence and technology in teaching negotiation. Negotiation Journal, 37(1), 65-82. https://doi.org/10.1111/nejo.12351
Immersive Learning and Teaching (XR)
This article highlights how immersive experiences can help caregivers to learn socioemotional skills.
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Radu, I., Dede, C., Seyam, M. R., Feng, T., & Chung, M. (2021). Using 360-Video Virtual Reality to Influence Caregiver Emotions and Behaviors for Childhood Literacy. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 13(1), 12-33. doi: 10.4018/IJGCMS.20210101.oa2
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This article highlights how immersive experiences can enhance second language learning.
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Mills N., Courtney M., Dede C., Dressen A., & Gant R. (2020). Culture and Vision in Virtual Reality Narratives. Foreign Language Annals 53(4), 733-760. https://doi.org/10.1111/flan.12494
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These two articles describe research on the advantages of immersive learning in ecosystems science education.
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Reilly, J.M., McGivney, E., Dede, C., & Grotzer, T. (2020). Assessing science identity exploration in immersive virtual environments: A mixed methods approach, The Journal of Experimental Education, DOI: 10.1080/00220973.2020.1712313
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Dede, C., Grotzer, T., Kamarainen, A., & Metcalf, S. (2019). Designing Immersive Authentic Simulations that Enhance Motivation and Learning: EcoLearn. In R. Feldman (Ed.), Learning science: Theory, research, practice, pp. 229-259. New York: McGraw Hill.
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These two articles discuss and synthesize research on various media for immersive learning.
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Reilly, J. & Dede, C. (2019). Augmented Reality in Education. In A. Zhang & D. Cristol (Eds.), Handbook of Mobile Teaching and Learning (pp. 1337 – 1351). Singapore: Springer.
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Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Science, 323(5910), 66-69.
Upskilling, Reskilling, and Lifelong Learning
These four articles describe various ways in which self-directed continuous lifelong learning is essential for workforce upskilling and reskilling.
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Dede, C., & McGivney, E. (2021). Lifelong learning for careers that don’t yet exist. In S. Jagannathan (Ed.), Educational Technologies for Sustainable Development: How Upskilling, Data Analysis, and Digital Innovations Foster Lifelong Learning, pp. 36-44. New York: Taylor & Francis.
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Dede, C. (2021). Supporting Unlearning to Enable Upskilling. In J. Wingard & C. Farrugia, The Great Skills Gap: Optimizing Talent for the Future of Work, pp. 79-84. Menlo Park, CA: Stanford University Press.
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Dede, C. & Etemadi, A. (2021). Why Dispositions Matter for the Workforce in Turbulent, Uncertain Times. The Next Level Lab at the Harvard Graduate School of Education. President and Fellows of Harvard College: Cambridge, MA. https://nextlevellab.gse.harvard.edu/publications/
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Richards, J., & Dede, C. (2020). The 60 year Curriculum: A Strategic Response to a Crisis. EDUCAUSE Review 55(4), 24-38.
This article explains how digital technologies can enhance “deeper learning” in pre-college settings.
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Dede, C. (2014). The Role of Digital Technologies in Deeper Learning. New York, NY: Jobs for the Future. http://www.jff.org/publications/role-digital-technologies-deeper-learning