A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics

Onni Aarne, Petrus Peltola, Juho Leinonen, Arto Hellas

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Kuvaus

We explore educational pair programming in a university context with high student autonomy and individual responsibility. The data comes from two separate introductory programming courses with optional pair programming assignments. We analyze lab attendance and course outcomes to determine whether students' previous programming experience or gender influence attendance. We further compare these statistics to self-reported data on study motivation, study strategies, and student enjoyment of pair programming. The influence of grading systems on pair programming behavior and course outcomes is also examined. Our results suggest that gender and previous programming experience correlate with participation in pair programming labs. At the same time, there are no significant differences in self-reported enjoyment of pair programming between any of the groups, and the results from commonly used study motivation and strategy questionnaires provide little insight into students/ actual behavior.
Alkuperäiskielienglanti
OtsikkoSIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
Sivumäärä6
JulkaisupaikkaNew York
KustantajaACM
Julkaisupäivä21 helmikuuta 2018
Sivut759-764
ISBN (painettu)978-1-4503-5103-4
DOI - pysyväislinkit
TilaJulkaistu - 21 helmikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaACM Technical Symposium on Computer Science Education - Baltimore, Yhdysvallat (USA)
Kesto: 21 helmikuuta 201824 helmikuuta 2018
Konferenssinumero: 49
https://sigcse2018.sigcse.org/

Tieteenalat

  • 113 Tietojenkäsittely- ja informaatiotieteet

Lainaa tätä

Aarne, O., Peltola, P., Leinonen, J., & Hellas, A. (2018). A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics. teoksessa SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education (Sivut 759-764). New York: ACM. https://doi.org/10.1145/3159450.3159493
Aarne, Onni ; Peltola, Petrus ; Leinonen, Juho ; Hellas, Arto. / A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics. SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education. New York : ACM, 2018. Sivut 759-764
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title = "A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics",
abstract = "We explore educational pair programming in a university context with high student autonomy and individual responsibility. The data comes from two separate introductory programming courses with optional pair programming assignments. We analyze lab attendance and course outcomes to determine whether students' previous programming experience or gender influence attendance. We further compare these statistics to self-reported data on study motivation, study strategies, and student enjoyment of pair programming. The influence of grading systems on pair programming behavior and course outcomes is also examined. Our results suggest that gender and previous programming experience correlate with participation in pair programming labs. At the same time, there are no significant differences in self-reported enjoyment of pair programming between any of the groups, and the results from commonly used study motivation and strategy questionnaires provide little insight into students/ actual behavior.",
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Aarne, O, Peltola, P, Leinonen, J & Hellas, A 2018, A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics. julkaisussa SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education. ACM, New York, Sivut 759-764, ACM Technical Symposium on Computer Science Education, Baltimore, Yhdysvallat (USA), 21/02/2018. https://doi.org/10.1145/3159450.3159493

A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics. / Aarne, Onni; Peltola, Petrus; Leinonen, Juho; Hellas, Arto.

SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education. New York : ACM, 2018. s. 759-764.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

TY - GEN

T1 - A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics

AU - Aarne, Onni

AU - Peltola, Petrus

AU - Leinonen, Juho

AU - Hellas, Arto

PY - 2018/2/21

Y1 - 2018/2/21

N2 - We explore educational pair programming in a university context with high student autonomy and individual responsibility. The data comes from two separate introductory programming courses with optional pair programming assignments. We analyze lab attendance and course outcomes to determine whether students' previous programming experience or gender influence attendance. We further compare these statistics to self-reported data on study motivation, study strategies, and student enjoyment of pair programming. The influence of grading systems on pair programming behavior and course outcomes is also examined. Our results suggest that gender and previous programming experience correlate with participation in pair programming labs. At the same time, there are no significant differences in self-reported enjoyment of pair programming between any of the groups, and the results from commonly used study motivation and strategy questionnaires provide little insight into students/ actual behavior.

AB - We explore educational pair programming in a university context with high student autonomy and individual responsibility. The data comes from two separate introductory programming courses with optional pair programming assignments. We analyze lab attendance and course outcomes to determine whether students' previous programming experience or gender influence attendance. We further compare these statistics to self-reported data on study motivation, study strategies, and student enjoyment of pair programming. The influence of grading systems on pair programming behavior and course outcomes is also examined. Our results suggest that gender and previous programming experience correlate with participation in pair programming labs. At the same time, there are no significant differences in self-reported enjoyment of pair programming between any of the groups, and the results from commonly used study motivation and strategy questionnaires provide little insight into students/ actual behavior.

KW - 113 Computer and information sciences

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DO - 10.1145/3159450.3159493

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BT - SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education

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Aarne O, Peltola P, Leinonen J, Hellas A. A Study of Pair Programming Enjoyment and Attendance using Study Motivation and Strategy Metrics. julkaisussa SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education. New York: ACM. 2018. s. 759-764 https://doi.org/10.1145/3159450.3159493