Self-efficacy and mental models in learning to program

Ramalingam, V.; LaBelle, Deborah; Wiedenbeck, Susan

doi:10.1145/1007996.1008042

Cited by 195 publications

(122 citation statements)

References 14 publications

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“…This is notable, because it is considered a predictor of programming achievement (e.g. [101]). Lee and Ko [76] used this theory as the foundation for their research into play, showing that the personification of a compiler could be used to improve motivation when learning computer programming.…”

Section: Social Cognitive and Psychological Influencesmentioning

confidence: 99%

Game Development for Computer Science Education

Johnson

McGill

Bouchard

et al. 2016

Proceedings of the 2016 ITiCSE Working Group Reports

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Section: Social Cognitive and Psychological Influencesmentioning

confidence: 99%

Game Development for Computer Science Education

Johnson

McGill

Bouchard

et al. 2016

Proceedings of the 2016 ITiCSE Working Group Reports

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“…Regarding self efficacy, Ramalingam et al [46] showed that high self efficacy had a positive effect on programming performance, and Ambrose et al [1] argued that downsizing affected self efficacy negatively, which in turn decreased programming performance. Agile development: Only one study related to the individual unit of analysis was found.…”

Section: Individualmentioning

confidence: 99%

Towards a behavioral software engineering

Lenberg

Feldt

Wallgren

2014

Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering

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Throughout the history of Software Engineering (SE) it has been repeatedly found that the humans involved, i.e. the engineers and developers in addition to other stakeholders, are a key factor in determining project outcomes and success. However, the amount of research that focuses on human aspects has been limited compared to research with technology or process focus. With increasing maturity of the field, interest in agile methods and a growing dissatisfaction with the continued challenges of developing high-quality software on time, the amount of SE research putting human aspect in primary focus has increased.In this paper we argue that a synthesized view of the emerging human-focused SE research is needed and can add value through giving focus, direction and help identify gaps. Taking cues from the addition of Behavioral Economics as an important part of the area of Economics we propose the term Behavioral Software Engineering (BSE) as an umbrella concept for research that focus on behavioral and social aspects in the work activities of software engineers. We propose that a model based on three units of analysis can give structure and point to concepts that are important for BSE. To add detail to this model we are conducting a systematic review to map out what is currently known. To exemplify the model and the area we here present the results from a subset of the identified concepts.

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“…Therefore, what we have presented here are correlational findings rather than cause and effect relationships. We advocate using established multi-scale measure (e.g., Compeau, D. R. and C. A. Higgins 1995; Ramalingam et al 2004 and in future research efforts. We did not measure the level of the students' marketing metric skills before the course and did not investigate the change in these as a result of taking M and M. It is also acknowledged that the ultimate benefit of any knowledge is accrued in the long term, what we call "post-training self efficacy" in the paper.…”

Section: Limitation and Implicationsmentioning

confidence: 99%