Weekly Fluctuations in Motivation in Introductory Programming

Hannu Pesonen; Arto Hellas

doi:10.1145/3555009.3555012

Weekly Fluctuations in Motivation in Introductory Programming

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

49 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	UKICER 2022 - Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research
Toimittajat	Keith Quille, Joseph Maguire, Brett A. Becker
Kustantaja	ACM
Sivumäärä	7
ISBN (elektroninen)	978-1-4503-9742-1
DOI - pysyväislinkit	https://doi.org/10.1145/3555009.3555012
Tila	Julkaistu - 1 syysk. 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	United Kingdom and Ireland Computing Education Research Conference - Dublin, Irlanti Kesto: 1 syysk. 2022 → 2 syysk. 2022 Konferenssinumero: 4

Conference

Conference	United Kingdom and Ireland Computing Education Research Conference
Lyhennettä	UKICER
Maa/Alue	Irlanti
Kaupunki	Dublin
Ajanjakso	01/09/2022 → 02/09/2022

Pääsy asiakirjaan

10.1145/3555009.3555012

Weekly_Fluctuations_in_Motivation_in_Introductory_ProgrammingAccepted author manuscript, 525 KB

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6 Conference article in proceedings

On Things that Matter in Learning Programming: Towards a Scale for New Programming Students
Pesonen, H. & Hellas, A., 2022, 2022 IEEE Frontiers in Education Conference (FIE). IEEE, 9 Sivumäärä (Conference proceedings : Frontiers in Education Conference).
Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Open access
Tiedosto
2 Sitaatiot (Scopus)

76 Lataukset (Pure)
Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes
Leinonen, J., Castro, F. E. V. & Hellas, A., 26 kesäk. 2021, ITiCSE 2021 - Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education. ACM, s. 373-379 7 Sivumäärä 3456383
Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Open access
19 Sitaatiot (Scopus)
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming
Leinonen, J., Castro, F. E. V. & Hellas, A., 2 heinäk. 2021, Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021). International Educational Data Mining Society (IEDMS), s. 648-653 6 Sivumäärä
Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Professional

Open access
Tiedosto

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@inproceedings{efb35de42a5d487b96fc665abf7d8f27,

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",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; United Kingdom and Ireland Computing Education Research Conference, UKICER ; Conference date: 01-09-2022 Through 02-09-2022",

year = "2022",

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doi = "10.1145/3555009.3555012",

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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. julkaisussa K Quille, J Maguire & BA Becker (toim), 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, Irlanti, 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. toim. / Keith Quille; Joseph Maguire; Brett A. Becker. ACM, 2022. 2.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

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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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A2 - Quille, Keith

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Weekly Fluctuations in Motivation in Introductory Programming

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Conference

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Sormenjälki

Tutkimustuotos

On Things that Matter in Learning Programming: Towards a Scale for New Programming Students

Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes

Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming

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