Publications

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Schwartz, Matt and Bean, Nathan H. and Weese, Joshua Levi and Feldhausen, Russell. 2024. Bringing a Visual Memory Model to VS Code.  Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery. 
conference
Friend, Michelle and Rosato, Jennifer and Bean, Nathan and Feldhausen, Russell and Weese, Joshua Levi. 2024. Creating University CS Teacher Preparation Programs.  Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery. 
conference
Bean, Nathan H. and Feldhausen, Russell and Weese, Joshua L. and Friend, Michelle. 2024. Engaging Rural Populations in Computer Science.  Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery. 
conference
Friend, M., Bean, N. H., Feldhausen, R, Weese, J.. 2024. Increasing Access to Computer Science for Students by Increasing Access for Teachers.  Poster Presented at American Educational Research Association Annual Meeting. AERA Conferences. 
conference
Malallah, Safia and Weese, Joshua Levi and Alsalmi, Khaled Nasser . 2023. The 'besTech' Technology Practice Framework for Early Childhood Education.  Proceedings of the 2023 ASEE Annual Conference & Exposition. ASEE Conferences. 
conference
Malallah, Safia and Shamir, Lior and Hsu, William H. and Weese, Joshua Levi and Alfailakawi, Salah. 2023. Computational Thinking Pedagogical + Framework for Early Childhood Education.  Proceedings of the 2023 ASEE Annual Conference & Exposition. ASEE Conferences. 
conference
Malallah, Safia A. and Shamir, Lior and Hsu, William H. and Weese, Joshua Levi and Alfailakawi, Salah. 2023. Data Science (Dataying) for Early Childhood.  Proceedings of the 2023 ASEE Annual Conference & Exposition. ASEE Conferences. 
conference
James, Friday and Weese, Joshua Levi. 2022. Neural Network-Based Forecasting of Student Enrollment With Exponential Smoothing Baseline and Performance Analysis.  Proceedings of the 2022 ASEE Annual Conference & Exposition. ASEE Conferences. 
conference

Talks, Panels, and Workshops

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Alsalmi, Kahled Nasser. 2023. Demographic effects on Kuwait's elections results.  Kansas State University. 
masters thesis
Bland, Joel G.. 2023. UCAT: the Unified Codio Autograding Tool.  Kansas State University. 
masters thesis
Malallah, Safia. 2022. Developing computational thinking best practices for early childhood education in Kuwait and United States.  Kansas State University. 
phd thesis
James, Friday. 2021. Neural network-based time series forecasting of student enrollment with exponential smoothing baseline and statistical analysis of performance.  Kansas State University. 
masters thesis
Prough, Logan M.. 2020. Education theories applied to a cyber security bootcamp.  Kansas State University. 
masters thesis
Raddadd, Faqihi. 2019. Teaching young people computational thinking using MIT App Inventor.  Kansas State University. 
masters thesis

Dissertations And Theses Completed Under My Supervision

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Alsalmi, Kahled Nasser. 2023. Demographic effects on Kuwait's elections results.  Kansas State University. 
masters thesis
Bland, Joel G.. 2023. UCAT: the Unified Codio Autograding Tool.  Kansas State University. 
masters thesis
Malallah, Safia. 2022. Developing computational thinking best practices for early childhood education in Kuwait and United States.  Kansas State University. 
phd thesis
James, Friday. 2021. Neural network-based time series forecasting of student enrollment with exponential smoothing baseline and statistical analysis of performance.  Kansas State University. 
masters thesis
Prough, Logan M.. 2020. Education theories applied to a cyber security bootcamp.  Kansas State University. 
masters thesis
Raddadd, Faqihi. 2019. Teaching young people computational thinking using MIT App Inventor.  Kansas State University. 
masters thesis

Served Graduate Committees

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Mortensen, Lara. 2024. Coursework in Computer Science Education / Curriculum and Instruction.  Kansas State University-Curriculum and Instruction. 
misc
Hennessey, Ryan. 2022. Using machine learning to detect hanging errors in canine thoracic radiographs.  Kansas State University-Computer Science. 
masters thesis
Changstrom, Jessy. 2022. Where women of color thrive in STEM: institutional factors and how departmental practices indicate shared values.  Kansas State University-Physics. 
phd thesis
Gray, Cortez. 2021. Shoot'em up game 'Zenith of Lead'.  Kansas State University-Computer Science. 
masters thesis
Compton, Caleb. 2020. Evolving locomotion for virtual quadrupeds.  Kansas State University-Computer Science. 
masters thesis
Behzadan, Vahid. 2019. Security of deep reinforcement learning.  Kansas State University-Computer Science. 
phd thesis
Waliser, Richard. 2018. Software Engineering.  Kansas State University-Computer Science. 
misc