Weekly Fluctuations in Motivation in Introductory Programming

Hannu Pesonen; Arto Hellas

doi:10.1145/3555009.3555012

Weekly Fluctuations in Motivation in Introductory Programming

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

In this study, we look into fluctuations in types of motivation in an introductory programming course. Using weekly surveys to measure intrinsic motivation through interest and enjoyment, willingness to learn, interest in context, and time spent on the programming course, we study the evolution of students' motivation throughout the course. We identify subgroups based on the collected data, and study to what extent the early course motivation and time spent on the course can be used to predict course retention. We observe substantial fluctuations in motivation and time spent over the course rounds, and further identify three subgroups of students in the data with considerable variation in motivation and time spent. At the same time, we observe that despite marked differences in motivation and the time that students spend on the course, these differences, early on in the course, do not seem to help in predicting course dropouts.

Original language	English
Title of host publication	UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research
Editors	Keith Quille, Joseph Maguire, Brett A. Becker
Publisher	ACM
Number of pages	7
ISBN (Electronic)	978-1-4503-9742-1
DOIs	https://doi.org/10.1145/3555009.3555012
Publication status	Published - 1 Sept 2022
MoE publication type	A4 Conference publication
Event	United Kingdom and Ireland Computing Education Research Conference - Dublin, Ireland Duration: 1 Sept 2022 → 2 Sept 2022 Conference number: 4

Conference

Conference	United Kingdom and Ireland Computing Education Research Conference
Abbreviated title	UKICER
Country/Territory	Ireland
City	Dublin
Period	01/09/2022 → 02/09/2022

Keywords

CS1
motivation
time spent
weekly surveys

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10.1145/3555009.3555012

Weekly_Fluctuations_in_Motivation_in_Introductory_ProgrammingAccepted author manuscript, 525 KB

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title = "Weekly Fluctuations in Motivation in Introductory Programming",

abstract = "In this study, we look into fluctuations in types of motivation in an introductory programming course. Using weekly surveys to measure intrinsic motivation through interest and enjoyment, willingness to learn, interest in context, and time spent on the programming course, we study the evolution of students' motivation throughout the course. We identify subgroups based on the collected data, and study to what extent the early course motivation and time spent on the course can be used to predict course retention. We observe substantial fluctuations in motivation and time spent over the course rounds, and further identify three subgroups of students in the data with considerable variation in motivation and time spent. At the same time, we observe that despite marked differences in motivation and the time that students spend on the course, these differences, early on in the course, do not seem to help in predicting course dropouts.",

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author = "Hannu Pesonen and Arto Hellas",

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language = "English",

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booktitle = "UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research",

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Pesonen, H & Hellas, A 2022, Weekly Fluctuations in Motivation in Introductory Programming. in K Quille, J Maguire & BA Becker (eds), UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research., 2, ACM, United Kingdom and Ireland Computing Education Research Conference, Dublin, Ireland, 01/09/2022. https://doi.org/10.1145/3555009.3555012

Weekly Fluctuations in Motivation in Introductory Programming. / Pesonen, Hannu ; Hellas, Arto.
UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research. ed. / Keith Quille; Joseph Maguire; Brett A. Becker. ACM, 2022. 2.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Weekly Fluctuations in Motivation in Introductory Programming

AU - Pesonen, Hannu

AU - Hellas, Arto

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PY - 2022/9/1

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N2 - In this study, we look into fluctuations in types of motivation in an introductory programming course. Using weekly surveys to measure intrinsic motivation through interest and enjoyment, willingness to learn, interest in context, and time spent on the programming course, we study the evolution of students' motivation throughout the course. We identify subgroups based on the collected data, and study to what extent the early course motivation and time spent on the course can be used to predict course retention. We observe substantial fluctuations in motivation and time spent over the course rounds, and further identify three subgroups of students in the data with considerable variation in motivation and time spent. At the same time, we observe that despite marked differences in motivation and the time that students spend on the course, these differences, early on in the course, do not seem to help in predicting course dropouts.

AB - In this study, we look into fluctuations in types of motivation in an introductory programming course. Using weekly surveys to measure intrinsic motivation through interest and enjoyment, willingness to learn, interest in context, and time spent on the programming course, we study the evolution of students' motivation throughout the course. We identify subgroups based on the collected data, and study to what extent the early course motivation and time spent on the course can be used to predict course retention. We observe substantial fluctuations in motivation and time spent over the course rounds, and further identify three subgroups of students in the data with considerable variation in motivation and time spent. At the same time, we observe that despite marked differences in motivation and the time that students spend on the course, these differences, early on in the course, do not seem to help in predicting course dropouts.

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U2 - 10.1145/3555009.3555012

DO - 10.1145/3555009.3555012

M3 - Conference article in proceedings

AN - SCOPUS:85138364501

BT - UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research

A2 - Quille, Keith

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PB - ACM

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Weekly Fluctuations in Motivation in Introductory Programming

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