Using Kintsch's Text Comprehension Model to Identify CS Students’ Conceptions and Misconceptions

Christina Kyriakou, Agoritsa Gogoulou, Maria Grigoriadou

2022

Abstract

Recent research attempts to figure out the hard points of Computer Science (CS) discipline curricula that seem to trouble students. The presented work focuses on assessing first-year CS students’ knowledge on issues related to fundamental computer architecture concerning main memory organization, operation, and role on program execution. Formulating questions based on Kintsch's text comprehension model theory is a promising diagnostic tool to identify students’ conceptions and misconceptions. The paper discusses the Kintsch model as the basis for formulating meaningful questions, analyzes students’ answers, and attempts to categorize and explain the revealed misconceptions. The emerging misconceptions may be helpful for effective learning design and appropriate educational material.

Paper Citation

in Harvard Style

Kyriakou C., Gogoulou A. and Grigoriadou M. (2022). Using Kintsch's Text Comprehension Model to Identify CS Students’ Conceptions and Misconceptions. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-562-3, pages 384-394. DOI: 10.5220/0011084000003182

in Bibtex Style

@conference{csedu22,
author={Christina Kyriakou and Agoritsa Gogoulou and Maria Grigoriadou},
title={Using Kintsch's Text Comprehension Model to Identify CS Students’ Conceptions and Misconceptions},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2022},
pages={384-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084000003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Using Kintsch's Text Comprehension Model to Identify CS Students’ Conceptions and Misconceptions
SN - 978-989-758-562-3
AU - Kyriakou C.
AU - Gogoulou A.
AU - Grigoriadou M.
PY - 2022
SP - 384
EP - 394
DO - 10.5220/0011084000003182