My research focuses on digital learning, AI, and sustainable development. Key areas include enhancing computer science education for young learners, personalized learning, and improving reading literacy globally. I also explore sustainable environmental education through innovative technology.
Vornberger, R., Alrawashdeh, G. S., & Alexander, D. (In press). Transforming early literacy with AI-driven personalized content assessment and feedback: A review of six tools. In S. Papadakis (Ed.), Teaching with Artificial Intelligence: A Guide for Primary and Elementary Educators. Routledge.
Alrawashdeh, G. S., Castillo, N.M. (In press). Responsible AI in personalized adaptive learning: A global review of 40 products. In S. Papadakis (Eds.), AI Roles and Responsibilities in Education. IGI Global.
Blake-West, J. C., Alrawashdeh, G. S., & Bers, M. U. (2024). Validating a Creative Coding Rubric for Elementary Grades: Assessing Programming Proficiency through Expressive Activities. Journal of Research on Technology in Education.
Alrawashdeh, G. S., Nadler, E. C., & Bers, M. U. (2024). Virtual Professional Development Enhances Elementary Teacher’ Coding Skills and Self-Efficacy: A Comparison of Three Models. In S. Papadakis & M. Kalogiannakis (Eds.), New Approaches in Mobile Learning for Early Childhood Education (pp. 114-137). IGI Global.
Alrawashdeh, G. S., Fyffe, S., Azevedo, R. F. L., & Castillo, N. M. (2024). Exploring the impact of personalized and adaptive learning technologies on reading literacy: A global meta-analysis. Educational Research Review, 42, 100587.
Alrawashdeh, G. S. (2023). A mixed-methods approach to exploring university students’ perspectives of emergency remote teaching in resource-challenged contexts: The case of Jordan. Technology, Pedagogy and Education Journal, 32.
Castillo, N. M., Wagner, D. A., Alrawashdeh, G. S., & Moog, C. (2023) EdTech and marginalization: Scaling for learning equity [Report]. (ED/GEMR/MRT/2023/P1/17, 10.54676/ZKZT2998, Global Education Monitoring (GEM)). UNESCO.
Adam, T., Alam, A., Alrawashdeh, G.S., Castillo, N. M., El-Serafy, Y., Sivanandan, M.S., & Tiwari, P. (2023). Trends in digital personalized learning in low and middle-income countries [Report]. Office of Global Insight and Policy, UNICEF, New York.
Jones, M, Lindgren, S., Alrawashdeh, G. S. & Mozumdar, L (2023). Scaling mechanization in a gender responsive manner in Bangladesh [Blog]. AgriLinks.
Lindgren, S., Alrawashdeh, G. S. & Maria Jones (2023). Toward women and youth’s adoption of and access to postharvest mechanization and entrepreneurial models in Bangladesh [Blog]. ADMI.
Lindgren, S., Alrawashdeh, G. S., Vaughn-Guy, C., & Keding, V. (2022). Youth environmental sustainability education and practices at home: Longitudinal evidence from Namibia. International Conference on Sustainable Development.
Alrawashdeh, G. S., Lindgren, S., Reyes, M., & Pisey, S. (2022). Engaging youth at school to advance sustainable agriculture and inspire future farming: Evidence from Cambodia. The Journal of Agricultural Education and Extension.
Alrawashdeh, G. S., Lindgren, S., Reyes, M., & Pisey, S. (2022). Developing youth’s capacities as active partners in achieving sustainable global food security through education. Environmental Sciences Proceedings, 15(1), 28.
Castillo, N. M., Wagner, D. A., Alrawashdeh, G. S., & Gidra, A. (2022). Language choice, technology and international education. In R. J. Tierney, F. Rizvi, & K. Erkican (Eds.), International Encyclopedia of Education (Fourth Edition) (pp. 817–824). Elsevier [Chapter].
Alrawashdeh, G. S. (2022). Approaches to technology-enabled personalized and adaptive learning: A brief overview. OSF [Preprint for Exploring the impact of personalized and adaptive learning technologies on reading literacy: A global meta-analysis paper].
Alrawashdeh, G. (2020). Jordan’s high-stakes educational testing challenges during COVID-19 [Blog]. ICTworks.
Al Barghouthi, S., Rehman, I. U., & Rawashdeh, G. (2016). Testing the efficiency of ASE by the two step regression based technique, the johansen multivariate technique cointegration, and granger causality. Electronic Journal of Applied Statistical Analysis, 9(3), 572–586.
GS Alrawashdeh (2010). The Neo-slave Narrative: Re-presenting Black Women [Thesis]. Brunel University, UK.
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