TY - JOUR
T1 - Using Structural Equation Modeling to Examine the Relationship Between Preservice Teachers' Computational Thinking Attitudes and Skills
AU - Cutumisu, Maria
AU - Adams, Catherine
AU - Glanfield, Florence
AU - Yuen, Connie
AU - Lu, Chang
N1 - Funding Information:
This work was supported in part by CanCode Callysto under Grant RES0047202; in part by the Social Sciences and Humanities Research Council of Canada Insight under Grant RES0048110; and in part by the Natural Sciences and Engineering Research Council under Discovery Grant RES0043209
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The Callysto CT test (CCTt) for Teachers was administered to $n\,\,=$ 105 PSTs to measure their CT attitudes and skills. Structural equation modeling was used to examine the relationship of participants' CT and problem-solving skills with their attitudes toward CT, technology, coding, and data. Findings revealed that CT attitudes predicted CT skills and provided the first step in exploring the validity and reliability of the CCTt instrument.
AB - The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The Callysto CT test (CCTt) for Teachers was administered to $n\,\,=$ 105 PSTs to measure their CT attitudes and skills. Structural equation modeling was used to examine the relationship of participants' CT and problem-solving skills with their attitudes toward CT, technology, coding, and data. Findings revealed that CT attitudes predicted CT skills and provided the first step in exploring the validity and reliability of the CCTt instrument.
KW - Attitudes
KW - computational thinking (CT)
KW - educational assessment
KW - skills
KW - structural equation modeling (SEM)
UR - http://www.scopus.com/inward/record.url?scp=85117357624&partnerID=8YFLogxK
U2 - 10.1109/TE.2021.3105938
DO - 10.1109/TE.2021.3105938
M3 - Journal Article
AN - SCOPUS:85117357624
SN - 0018-9359
VL - 65
SP - 177
EP - 183
JO - IEEE Transactions on Education
JF - IEEE Transactions on Education
IS - 2
ER -