Team composition in software engineering project courses

Dzvonyar, Dora; Alperowitz, Lukas; Henze, Dominic; Bruegge, Bernd

doi:10.1145/3194779.3194782

Cited by 26 publications

(10 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Group formation tools: There have been many studies for understanding the impact and construction of student teams [7, 15, 17, 18, 22, 24, 31-34, 38, 41, 44, 52]. For instance, [17] considers teams for specific projects, and discusses the balance between skills across team-members, practical constraints such as schedules and also factors such as motivation. [18] presents an algorithmic approach and tool to ease instructor burden in group formation, which is similar to our goals.…”

Section: Group Compositionmentioning

confidence: 99%

“…Since learning is a social experience [60], peer-learning is essential [3,9,50,53], and peer-groups and social networks can have a huge impact on the success of individuals [11,12,21,35,42,58], providing social support is critical for students. The positive impacts and importance of study groups has been extensively studied [7,15,17,18,24,31,33,34,38,41,44,52].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inclusive Study Group Formation At Scale

Kohli¹,

Ramachandran²,

Tudor³

et al. 2022

Preprint

View full text Add to dashboard Cite

The student peer-group is one of the most important influences on student development. Group work is essential for creating positive learning experiences, especially in remote-learning where student interactions are more challenging. While the benefits of study groups are established, students from underrepresented communities often face challenges in finding social support for their education when compared with those from majority groups. We present a system for flexible and inclusive study group formation that can scale to thousands of students.Our focus is on long-term study groups that persist throughout the semester and beyond. Students are periodically provided opportunities to obtain a new study group if they feel their current group is not a good fit. In contrast to prior work that generates single-use groups, our process enables continuous refinement of groups for each student, which in turn informs our algorithm for future iterations.We trialed our approach in a 1000+ student introductory Electrical Engineering and Computer Science course that was conducted entirely online during the COVID-19 pandemic. We found that of all students matched to study groups through our algorithm, a large majority felt comfortable asking questions (78%) and sharing ideas (74%) with their group. Students from underrepresented backgrounds were more likely to request software-matching for study groups when compared with students from majority groups. However, underrepresented students that we did match into study groups had group experiences that were just as successful as students from' majority groups. Students in engaged, regularly participating study groups had more positive results across all other indicators of the study group experience, and certain positive group experiences were associated with higher exam scores overall. Furthermore, students performing at a B-level on the first class midterm, who participated in high-quality software-matched study groups, demonstrated higher final exam scores than students in lowerquality groups.

show abstract

Section: Group Compositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inclusive Study Group Formation At Scale

Kohli¹,

Ramachandran²,

Tudor³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The main goal of the capstone course "Software Engineering II" is teaching iterative, agile development methods and best practices in a hands-on fashion, which has become standard practice in universities [19], [20]. Each week of the course students are expected to work 8 hours on the project including lectures and team meetings.…”

Section: A Software Engineering Coursementioning

confidence: 99%

Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts

Matthies

Teusner

Hesse

2018

2018 IEEE Frontiers in Education Conference (FIE)

View full text Add to dashboard Cite

This Innovative Practice Full Paper presents an approach of using software development artifacts to gauge student behavior and the effectiveness of changes to curriculum design. There is an ongoing need to adapt university courses to changing requirements and shifts in industry. As an educator it is therefore vital to have access to methods, with which to ascertain the effects of curriculum design changes. In this paper, we present our approach of analyzing software repositories in order to gauge student behavior during project work. We evaluate this approach in a case study of a university undergraduate software development course teaching agile development methodologies. Surveys revealed positive attitudes towards the course and the change of employed development methodology from Scrum to Kanban. However, surveys were not usable to ascertain the degree to which students had adapted their workflows and whether they had done so in accordance with course goals. Therefore, we analyzed students' software repository data, which represents information that can be collected by educators to reveal insights into learning successes and detailed student behavior. We analyze the software repositories created during the last five courses, and evaluate differences in workflows between Kanban and Scrum usage.

show abstract

“…A escolha dos canais de comunicac ¸ão (CC) e seu uso são fatores importantes no sucesso de grupos colaborativos [Olson and Olson 2014]. Má comunicac ¸ão é causa frequente de falha na execuc ¸ão de projetos [Da Silva et al 2018, Dzvonyar et al 2018. Problemas como falta de comunicac ¸ão [Adu-Oppong andAgyin-Birikorang 2014, Cletus et al 2018], gargalos no registro [Conzola andWogalter 2001, Shitu et al 2018] e transmissão de mensagens [Jetha et al 2019, Ganapathi andPanchanatham 2012] levam ao fracasso de projetos.…”

Section: Introduc ¸ãOunclassified

Canais de Comunicação e seus Desafios: uma Análise das Equipes de Desenvolvimento de Software durante a Pandemia de COVID-19

Souza

Silva

França

et al. 2023

Anais Estendidos Do XVIII Simpósio Brasileiro De Sistemas Colaborativos (SBSC Estendido 2023)

View full text Add to dashboard Cite

Desenvolvedores usam ferramentas tecnológicas que contribuem para a fluidez de suas atividades. Canais de comunicação proporcionados por essas ferramentas contribuem para a cultura participativa do desenvolvimento de software, onde os requisitos incluem envolvimento, aprendizado e coprodução do código. A escolha dos canais de apoio ao desenvolvimento ainda é uma questão em aberto. Por meio de uma investigação de equipes de software remotas fechadas de uma grande instituição educacional pública no Brasil durante a Pandemia do COVID-19, identificamos seus canais de comunicação preferidos e os analisamos para aprender como melhorar a colaboração.

show abstract

Team composition in software engineering project courses

Cited by 26 publications

References 34 publications

Inclusive Study Group Formation At Scale

Inclusive Study Group Formation At Scale

Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts

Canais de Comunicação e seus Desafios: uma Análise das Equipes de Desenvolvimento de Software durante a Pandemia de COVID-19

Contact Info

Product

Resources

About