Abstract
Computational thinking – the ability to solve problems using concepts from computer science – has been widely discussed in the computer science education field. However, the relationship of computational thinking to intelligence – seen as the general ability to understand and solve complex problems – is contestable and has not been extensively explored. The present study addressed the question of how computational thinking is related to intelligence. To find an answer to this question, 71 pre-service teacher students completed a survey with 20 Bebras tasks as a measure of computational thinking and a non-verbal intelligence test (TONI-3) to assess their general problem-solving ability. The large and significant correlation of r(70) = .53, p < .001, indicates that both concepts are highly related. Implications of the findings are discussed, including the meaning of the relationship between computational thinking and intelligence during teaching and assessment, and the possibility of more holistic measures of computational thinking that incorporate procedural aspects.
| Language | English |
|---|---|
| Title of host publication | ITiCSE 2018 |
| Subtitle of host publication | proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery |
| Pages | 206-211 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450357074 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | Annual ACM Conference on Innovation and Technology in Computer Science Education (23rd : 2018) - Larnaca, Cyprus Duration: 2 Jul 2018 → 4 Jul 2018 |
Conference
| Conference | Annual ACM Conference on Innovation and Technology in Computer Science Education (23rd : 2018) |
|---|---|
| Abbreviated title | ITiCSE 2018 |
| Country | Cyprus |
| City | Larnaca |
| Period | 2/07/18 → 4/07/18 |
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Relationship between computational thinking and a measure of intelligence as a general problem-solving ability. / Boom, Kay Dennis; Bower, Matt; Arguel, Amaël; Siemon, Jens; Scholkmann, Antonia.
ITiCSE 2018: proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. New York, NY : Association for Computing Machinery, 2018. p. 206-211.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
TY - GEN
T1 - Relationship between computational thinking and a measure of intelligence as a general problem-solving ability
AU - Boom,Kay Dennis
AU - Bower,Matt
AU - Arguel,Amaël
AU - Siemon,Jens
AU - Scholkmann,Antonia
PY - 2018
Y1 - 2018
N2 - Computational thinking – the ability to solve problems using concepts from computer science – has been widely discussed in the computer science education field. However, the relationship of computational thinking to intelligence – seen as the general ability to understand and solve complex problems – is contestable and has not been extensively explored. The present study addressed the question of how computational thinking is related to intelligence. To find an answer to this question, 71 pre-service teacher students completed a survey with 20 Bebras tasks as a measure of computational thinking and a non-verbal intelligence test (TONI-3) to assess their general problem-solving ability. The large and significant correlation of r(70) = .53, p < .001, indicates that both concepts are highly related. Implications of the findings are discussed, including the meaning of the relationship between computational thinking and intelligence during teaching and assessment, and the possibility of more holistic measures of computational thinking that incorporate procedural aspects.
AB - Computational thinking – the ability to solve problems using concepts from computer science – has been widely discussed in the computer science education field. However, the relationship of computational thinking to intelligence – seen as the general ability to understand and solve complex problems – is contestable and has not been extensively explored. The present study addressed the question of how computational thinking is related to intelligence. To find an answer to this question, 71 pre-service teacher students completed a survey with 20 Bebras tasks as a measure of computational thinking and a non-verbal intelligence test (TONI-3) to assess their general problem-solving ability. The large and significant correlation of r(70) = .53, p < .001, indicates that both concepts are highly related. Implications of the findings are discussed, including the meaning of the relationship between computational thinking and intelligence during teaching and assessment, and the possibility of more holistic measures of computational thinking that incorporate procedural aspects.
KW - computational thinking
KW - non-verbal intelligence
KW - Bebras Challenge
KW - problem-solving
KW - discriminate validity
UR - http://www.scopus.com/inward/record.url?scp=85052022964&partnerID=8YFLogxK
U2 - 10.1145/3197091.3197104
DO - 10.1145/3197091.3197104
M3 - Conference proceeding contribution
SP - 206
EP - 211
BT - ITiCSE 2018
PB - Association for Computing Machinery
CY - New York, NY
ER -