CS1 student grade prediction: unconscious optimism vs insecurity?
Date
2020-07
Embargo
2020-07
Authors
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Coadvisor
Journal Title
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Volume Title
Publisher
ICEDL
Language
English
Alternative Title
Abstract
The difficulties of many students in introductory
programming courses and the consequent failure and drop out
make it necessary to look for motivation strategies for them to
be successful. One of the strategies that is touted in the literature
is self-assessment to compromise and motivate students. As we
had doubts about the possibility of this strategy, we did an
experiment and asked the students to predict the grades of the
two tests and the two projects during a semester. Even knowing
the correction grid and exercises that involve programming
languages, which shows the result to the programmer, we found
that the students' forecasts were not very accurate. In the first
test we found that the worst students said they were going to get
reasonable grades and much better than reality, while the best
students thought they had worse grades than they actually had.
The other moments of evaluation did not have as severe results,
but forecasts continued to be inaccurate. We did tests by gender,
by age, for being a freshman or not, for having taken a computer
course in high school and for previous knowledge of
programming languages: none of these variables proved to be
as significant as the students' grades and their corresponding
insecurity-fear or optimism-unconscious.
Keywords
CS1, Grade predict, Introduction to programming, Motivation strategies
Document Type
conferenceObject
Publisher Version
Dataset
Citation
Sobral, S. R. (2020). CS1 student grade prediction: unconscious optimism vs insecurity? In 4th International Conference on Education and Distance Learning Conference (ICEDL2020), Roma, Italia, July 17-19. Disponível no Repositório UPT, http://hdl.handle.net/11328/3147
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Restricted Access