2024 Annual Meeting of the American Educational Research Association
NSF, Division of Research on Learning in Formal and Informal Settings (DRL) 2031382 and 2031404
Collaborative Research: Supporting Rural Paraprofessional Educators and their Students with Computer Science Professional Learning and Expansively Framed Curriculum
National Science Foundation, Division of Research on Learning in Formal and Informal Settings (DRL)
This paper presents a novel approach for predicting the outcomes of elementary students’ participation in computer science (CS) instruction by using exit tickets, a type of practical measure, where students provide rapid feedback on their instructional experiences. Such feedback can help teachers to inform ongoing teaching and instructional practices. We fit a Structural Equation Model to examine whether students' perceptions of enjoyment, ease, and connections between mathematics and CS in an integrated lesson predicted their affective outcomes in self-efficacy, interest, and CS identity, collected in a pre- post- survey. We found that practical measures can validly measure student experiences.
Shehzad, U., Recker, M.M., Clarke-Midura, J.E. (2024, April). Exploring Practical Measures as an Approach for Measuring Elementary Students’ Attitudes Towards Computer Science. Proceedings of the 2024 Annual Meeting of the American Educational Research Association. AERA 2024, Philadelphia, Pennsylvania.