Daniel Zingaro

Selected Publications:

• Zingaro, D. (2021). Learn to code by solving problems: A python programming primer. No Starch Press. 
• Zingaro, D. (2021). Algorithmic thinking: A problem-based introduction. No Starch Press. (Translations: Simplified Chinese, Korean, Russian, Polish) 
• Liao, S., Zingaro, D., Thai, K., Alvarado, C., Griswold, W., & Porter, L. (2019). A robust machine learning technique to predict low performing students. Transactions on Computing Education, 19(3).
• Porter, L., Zingaro, D., Liao, S., Taylor, C., Webb, K., Lee, C., & Clancy, M. (2019). BDSI: A validated concept inventory for basic data structures. In Proceedings of the 15th ACM conference on international computing education research (ICER) (pp. 111-119).
• Zingaro, D., Taylor, C., Porter, L., Clancy, M., Lee, C., Liao, S., & Webb, K. (2018). Identifying student difficulties with basic data structures. In Proceedings of the 14th ACM conference on international computing education research (ICER) (pp. 169-177).
• Zingaro, D., Craig, M., Porter, L., Becker, B., Cao, Y., Conrad, P., . . . Thota, N. (2018). Achievement goals in CS1: Replication and extension. In Proceedings of the 49th ACM technical symposium on computer science education (SIGCSE) (pp. 687-692). https://dl.acm.org/doi/10.1145/3159450.3159452
• Zingaro, D. (2015). Examining interest and performance in computer science 1: A study of pedagogy and achievement goals. Transactions on Computing Education, 15(3).
• Zingaro, D., & Porter, L. (2014). Peer instruction in computing: The value of instructor intervention. Computers & Education, 71(1), 87-96. 
• Zingaro, D. (2014). Peer instruction contributes to self-efficacy in CS1. In Proceedings of the 45th ACM technical symposium on computer science education (SIGCSE) (pp. 373-378).
• Zingaro, D. (2012). Student moderators in asynchronous online discussion: a question of questions. Journal of Online Learning and Teaching (JOLT), 8, 159-173. (Best Paper Award)