TY - GEN
T1 - Comparing Programming Self-Esteem of Upper Secondary School Teachers to CS1 Students
AU - Faherty, Roisin
AU - Quille, Keith
AU - Vivian, Rebecca
AU - McGill, Monica M.
AU - Becker, Brett A.
AU - Nolan, Karen
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/6/26
Y1 - 2021/6/26
N2 - Teacher self-esteem has been found to impact student learning in a number of non-computing fields. As computing slowly becomes a part of the upper secondary school (high school) curriculum in many countries, instruments designed to measure teachers' programming self-esteem can help inform classroom practice and processes such as teacher professional development needs. This study examines if there are differences in programming self-esteem (using the Bergin Programming Self-Esteem Instrument) between upper secondary school teachers and CS1 students in Ireland. In addition this study provides evidence of validity when using this instrument(originally developed for CS1 students) to measure upper secondary school teacher programming self-esteem. To test for evidence of validity, we compared the results of the programming self-esteem construct given to upper secondary school teachers (n=130) to a recent study of programming self-esteem among CS1 students (n=693). We found evidence of both reliability and validity with teachers that aligns with the evidence found for the CS1 students, demonstrating utility for use with teacher cohorts. Comparing these findings, teachers reported statistically significantly lower programming self-esteem compared to CS1 students. Interestingly CS1 students identifying as male had a statistically significant higher programming self-esteem than those identifying as female. However, we found no statistically significant difference for teacher gender, unlike previous work. Our results indicate that teacher programming self-esteem should be given consideration in the design and implementation of professional development.
AB - Teacher self-esteem has been found to impact student learning in a number of non-computing fields. As computing slowly becomes a part of the upper secondary school (high school) curriculum in many countries, instruments designed to measure teachers' programming self-esteem can help inform classroom practice and processes such as teacher professional development needs. This study examines if there are differences in programming self-esteem (using the Bergin Programming Self-Esteem Instrument) between upper secondary school teachers and CS1 students in Ireland. In addition this study provides evidence of validity when using this instrument(originally developed for CS1 students) to measure upper secondary school teacher programming self-esteem. To test for evidence of validity, we compared the results of the programming self-esteem construct given to upper secondary school teachers (n=130) to a recent study of programming self-esteem among CS1 students (n=693). We found evidence of both reliability and validity with teachers that aligns with the evidence found for the CS1 students, demonstrating utility for use with teacher cohorts. Comparing these findings, teachers reported statistically significantly lower programming self-esteem compared to CS1 students. Interestingly CS1 students identifying as male had a statistically significant higher programming self-esteem than those identifying as female. However, we found no statistically significant difference for teacher gender, unlike previous work. Our results indicate that teacher programming self-esteem should be given consideration in the design and implementation of professional development.
KW - CS1
KW - K-12 teachers
KW - introductory programming
KW - professional development
KW - self-esteem
UR - http://www.scopus.com/inward/record.url?scp=85109045045&partnerID=8YFLogxK
U2 - 10.1145/3430665.3456372
DO - 10.1145/3430665.3456372
M3 - Conference contribution
AN - SCOPUS:85109045045
T3 - Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
SP - 554
EP - 560
BT - ITiCSE 2021 - Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education
PB - Association for Computing Machinery
T2 - 26th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2021
Y2 - 26 June 2021 through 1 July 2021
ER -