Evaluating the Usefulness of Pair Programming in a Classroom Setting

Toll, T. Van; Lee, R.; Ahlswede, Thomas

doi:10.1109/icis.2007.96

Cited by 17 publications

(12 citation statements)

References 5 publications

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“…Of the five respondents that were negative towards the future use of PP, all achieved a final grade of A, and three of these had partnered with students that subsequently failed to achieve a passing grade of C in the module. This suggests that academic compatibility issues may have played a part in these negative responses, as suggested by Van Toll et al [20]. It was also interesting to note that most of the positive responses came from lower achieving students with final grades of B, C or less.…”

Section: Attitude To Pp In the Ncs Student Groupmentioning

confidence: 89%

“…Overall, the research is inconclusive on how best to form a PP pair [10]. Given that many of these criteria are hard to quantify for entry level programming students [4,6,8,12], several researchers have allowed students to self-select their PP partners with such studies suggesting that self-selection results in few compatibility issues [4,11,20].…”

Section: Related Workmentioning

confidence: 98%

“…Research in the use of PP as a collaborative approach to learning programming at 3 rd level has focused on best practice experience reports [4,21], how best to ensure successful student pairs [18,20], qualitative feedback on the benefits and limitations of PP in pedagogy and quantitative evaluation of students' performance when using the approach.…”

Section: Related Workmentioning

confidence: 99%

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Evaluating Pair-Programming for Non-Computer Science Major Students

O'Donnell

Buckley

Mahdi

et al. 2015

Proceedings of the 46th ACM Technical Symposium on Computer Science Education

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The ubiquitous nature of software has resulted in many noncomputer-science (NCS) major students taking courses in computer programming. The appeal of learning computer programming for this cohort may be diminished, given that they do not usually have an initial desire to become expert programmers. This, coupled with the difficulty of learning computer programming, means that efforts to heighten their engagement with/learning of, programming skills are required.Paired programming is an approach that has been hypothesized as increasing computer science students' attendance and performance. The study presented here reports on a controlled study investigating the impact of a pair-programming approach to teaching computer programming to NCS majors. The results indicate that pair programming has a positive impact on student attendance, particularly for weaker students. While a comparison of the paired programming cohort and a traditional lab cohort is not statistically significant with respect to performance, there are definite trends which suggest that pair programming may increase the number of weaker students that succeed in the programming module. These trends are re-enforced by qualitative feedback from the participants.

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Section: Attitude To Pp In the Ncs Student Groupmentioning

confidence: 89%

Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating Pair-Programming for Non-Computer Science Major Students

O'Donnell

Buckley

Mahdi

et al. 2015

Proceedings of the 46th ACM Technical Symposium on Computer Science Education

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“…Each activity paired two participants to work with the researcher. "Pair programming" is a coding methodology often used in industry and education (Cockburn & Williams, 2001;Van Toll, Lee, & Ahlswede, 2007) to improve quality of work, and perhaps learning. For this study the pairs did not tend to spontaneously collaborate on the programming tasks.…”

Section: Open Play and Independent Experimentationmentioning

confidence: 99%

Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)

Lowe¹

2018 ASEE Annual Conference &Amp; Exposition Proceedings

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“…The two compatibility factors investigated most were skill level and personality type. Five PP studies regarded actual paired skill level as one of the determinant factors of PP effectiveness (Canfora, Cimitile, Garcia, Piattini, & Visaggio, 2005;Cliburn, 2003;Katira et al, 2004;Van Toll, Lee, & Ahlswede, 2007;Williams, Layman, Osborne, & Katira, 2006). The actual skill level was determined based on programming experience, academic background, and students' academic performance.…”

Section: Related Workmentioning

confidence: 99%

Factors Affecting Students’ Performance in Distributed Pair Programming

Xinogalos

Satratzemi

Chatzigeorgiou

et al. 2017

Journal of Educational Computing Research

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Pair Programming has been shown to increase productivity and code quality not only in professional software development but also in the context of programming education. The provision of broadband Internet access gave rise to Distributed Pair Programming (DPP) enabling two programmers to collaborate remotely. To gain insight into the benefits of DPP, we performed an empirical study on an object-oriented programming course where 62 students carried out assignments through a DPP platform. The goal of the study is to investigate, in the context of DPP, whether prior programming skills (assessed at the level of student, his or her partner and pair) and pair compatibility are related to student performance. To further examine the effect of DPP on learning outcomes, we have studied whether a pair’s performance on DPP assignments is related to the students’ grade. The findings indicate that the student’s actual skill and the pair’s actual skill affect his or her performance in an object-oriented programming course. The results also suggested that there is no association between pair compatibility and his or her own performance. Finally, pair performance on DPP assignments is related to the individual student performance in the final exams. Such evidence can be used to guide instructors when planning DPP assignments and especially when forming student pairs.

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Evaluating the Usefulness of Pair Programming in a Classroom Setting

Cited by 17 publications

References 5 publications

Evaluating Pair-Programming for Non-Computer Science Major Students

Evaluating Pair-Programming for Non-Computer Science Major Students

Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)

Factors Affecting Students’ Performance in Distributed Pair Programming

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