Deciding to major in computer sciencea grounded theory of students' self-assessment of ability
Publikationsdatum:
  Zu finden in: ICER 2011 (Seite 3 bis 10), 2011
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Zusammenfassungen
There is great interest in understanding and influencing students' attraction to computing-related majors. This qualitative study is based on interviews with 31 students enrolled in introductory programming courses at two public universities in the United States. This paper presents a model of five factors that influence student decisions to major in CS and elaborates on our grounded theory analysis of one of these factors: how students assess their CS-related ability. We describe how students measure their ability in terms of speed, grades, and previous experience and how students make interpretations and decisions based upon these measurements. We found that students' interpretations were influenced by experiences in their environments and beliefs about ability as being fixed or malleable.
Dieses Konferenz-Paper erwähnt ...
 Begriffe KB IB clear |  fixed mindsetfixed mindset
,  growth mindsetgrowth mindset
, Informatikcomputer science
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Dieses Konferenz-Paper erwähnt vermutlich nicht ... 
Nicht erwähnte Begriffe | Informatik-Didaktik, Informatik-Unterricht (Fachinformatik) |
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6 Erwähnungen
- ICER 2012 - International Computing Education Research Conference, ICER '12, Auckland, New Zealand, September 10-12, 2012 (Alison Clear, Kate Sanders, Beth Simon) (2012)
- Toward a validated computing attitudes survey (Allison Elliott Tew, Brian Dorn, Oliver S. Schneider) (2012)
- Toward a validated computing attitudes survey (Allison Elliott Tew, Brian Dorn, Oliver S. Schneider) (2012)
- ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research, ICER 2017, Tacoma, WA, USA, August 18-20, 2017 (Josh Tenenberg, Donald Chinn, Judy Sheard, Lauri Malmi) (2017)
- Social Perceptions in Computer Science and Implications for Diverse Students (Jennifer Wang, Sepehr Hejazi Moghadam, Juliet Tiffany-Morales) (2017)
- Social Perceptions in Computer Science and Implications for Diverse Students (Jennifer Wang, Sepehr Hejazi Moghadam, Juliet Tiffany-Morales) (2017)
- ICER 2019 - Proceedings of the 2019 ACM Conference on International Computing Education Research, ICER 2019, Toronto, ON, Canada, August 12-14, 2019 (Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal) (2019)
- Computing Education Theories - What Are They and How Are They Used? (Lauri Malmi, Judy Sheard, Päivi Kinnunen, Simon, Jane Sinclair) (2019)
- Computing Education Theories - What Are They and How Are They Used? (Lauri Malmi, Judy Sheard, Päivi Kinnunen, Simon, Jane Sinclair) (2019)
- Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019 (2019)
- Development of a Questionnaire on Self-concept, Motivational Beliefs, and Attitude Towards Programming (Luzia Leifheit, Katerina Tsarava, Korbinian Moeller, Klaus Ostermann, Jessika Golle, Ulrich Trautwein, Manuel Ninaus) (2019)
- Development of a Questionnaire on Self-concept, Motivational Beliefs, and Attitude Towards Programming (Luzia Leifheit, Katerina Tsarava, Korbinian Moeller, Klaus Ostermann, Jessika Golle, Ulrich Trautwein, Manuel Ninaus) (2019)
- ICER 2020 - International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 (Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley) (2020)
- Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science (Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes) (2020)
- Why do CS1 Students Think They're Bad at Programming? - Investigating Self-efficacy and Self-assessments at Three Universities (Jamie Gorson, Eleanor O'Rourke) (2020)
- Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science (Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes) (2020)
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