More Like this

1. Collaboration detection that Preserves privacy of student's speech

   Viswanathan, Sree Aurovindh ; VanLehn, Kurt ( January 2019 , Artificial Intelligence in Education, AIED 2019)

   Collaboration is a 21st Century skill as well as an effective method for learning, so detection of collaboration is important for both assessment and instruction. Speech-based collaboration detection can be quite accurate but collecting the speech of students in classrooms can raise privacy issues. An alternative is to send only whether or not the student is speaking. That is, the speech signal is processed at the microphone by a voice activity detector before being transmitted to the collaboration detector. Because the transmitted signal is binary (1 = speaking, 0 = silence), this method mitigates privacy issues. However, it may harmmore »the accuracy of collaboration detection. To find out how much harm is done, this study compared the relative effectiveness of collaboration detectors based either on the binary signal or high-quality audio. Pairs of students were asked to work together on solving complex math problems. Three qualitative levels of interactivity was distinguished: Interaction, Cooperation and Other. Human coders used richer data (several audio and video streams) to choose the code for each episode. Machine learning was used to induce a detector to assign a code for every episode based on the features. The binary-based collaboration detectors delivered only slightly less accuracy than collaboration detectors based on the high quality audio signal.« less
2. A New Approach to Collaboration: A Partnership between an NSF-funded Engineering Research Center and a Liberal Arts College

   Roth, M.J.S. ; Caslake, L.F. ( June 2018 , ASEE Annual Conference proceedings)

   In August 2016, the authors, faculty members at Lafayette College, were awarded a National Science Foundation (NSF) grant (Grant No. CMMI-1632963) based on an unsolicited proposal to the NSF’s CMMI Division. Like many faculty at strictly undergraduate institutions, we routinely provide opportunities for students to work on research projects and fund this research in some situations through external grants. An innovation in this particular grant was the creation of a research collaboration between faculty and students at Lafayette and an NSF-funded Engineering Research Center (ERC). As stated on the NSF website, “The goal of the ERC Program is to integratemore »engineering research and education with technological innovation to transform national prosperity, health, and security.” To accomplish this goal, collaborations between ERCs and other institutions are inherent in the work of an ERC; however, research collaborations between ERCs and small liberal arts colleges are rare and we know of no other collaboration of this type. In our most recent research project, we have developed and implemented a model that successfully provides our students and ourselves with opportunities to collaborate on an interdisciplinary research project with faculty, researchers, and graduate students at the NSF-funded Center for Bio-mediated and Bio-inspired Geotechnics (CBBG). This paper provides a brief overview of the goals of the research project and describes our motivation for establishing the collaboration, the structure of the collaboration, the anticipated broader impacts associated with the work, and the results from the first 18 months of the partnership. A logic model is included to illustrate the connections between the resources, strategies, outcomes, and long-term impacts associated with the collaboration. The goal of this paper is to describe the collaboration between Lafayette College and the ERC from the point of view of the faculty members at Lafayette, to describe the positive outcomes that have resulted from this collaboration, and to encourage faculty members at other small colleges to consider developing similar collaborations.« less
3. A New Approach to Collaboration: A Partnership between an NSF-funded Engineering Research Center and a Liberal Arts College

   Roth, M.J.S. ; Caslake, L.F. ( January 2018 , 2018 ASEE Annual Conference and Exposition)

   In August 2016, the authors, faculty members at Lafayette College, were awarded a National Science Foundation (NSF) grant (Grant No. CMMI-1632963) based on an unsolicited proposal to the NSF’s CMMI Division. Like many faculty at strictly undergraduate institutions, we routinely provide opportunities for students to work on research projects and fund this research in some situations through external grants. An innovation in this particular grant was the creation of a research collaboration between faculty and students at Lafayette and an NSF-funded Engineering Research Center (ERC). As stated on the NSF website, “The goal of the ERC Program is to integratemore »engineering research and education with technological innovation to transform national prosperity, health, and security.” To accomplish this goal, collaborations between ERCs and other institutions are inherent in the work of an ERC; however, research collaborations between ERCs and small liberal arts colleges are rare and we know of no other collaboration of this type. In our most recent research project, we have developed and implemented a model that successfully provides our students and ourselves with opportunities to collaborate on an interdisciplinary research project with faculty, researchers, and graduate students at the NSF-funded Center for Bio-mediated and Bio-inspired Geotechnics (CBBG). This paper provides a brief overview of the goals of the research project and describes our motivation for establishing the collaboration, the structure of the collaboration, the anticipated broader impacts associated with the work, and the results from the first 18 months of the partnership. A logic model is included to illustrate the connections between the resources, strategies, outcomes, and long-term impacts associated with the collaboration. The goal of this paper is to describe the collaboration between Lafayette College and the ERC from the point of view of the faculty members at Lafayette, to describe the positive outcomes that have resulted from this collaboration, and to encourage faculty members at other small colleges to consider developing similar collaborations.« less
4. Perceptions of open‐source software developers on collaborations: An interview and survey study

   https://doi.org/10.1002/smr.2393  

   Constantino, Kattiana ; Souza, Mauricio ; Zhou, Shurui ; Figueiredo, Eduardo ; Kästner, Christian ( October 2021 , Journal of Software: Evolution and Process)

   With the emergence of social coding platforms, collaboration has become a key and dynamic aspect to the success of software projects. In such platforms, developers have to collaborate and deal with issues of collaboration in open-source software development. Although collaboration is challenging, collaborative development produces better software systems than any developer could produce alone. Several approaches have investigated collaboration challenges, for instance, by proposing or evaluating models and tools to support collaborative work. Despite the undeniable importance of the existing efforts in this direction, there are few works on collaboration from perspectives of developers. In this work, we aim tomore »investigate the perceptions of open-source software developers on collaborations, such as motivations, techniques, and tools to support global, productive, and collaborative development. Following an ad hoc literature review, an exploratory interview study with 12 open-source software developers from GitHub, our novel approach for this problem also relies on an extensive survey with 121 developers to confirm or refute the interview results. We found different collaborative contributions, such as managing change requests. Besides, we observed that most collaborators prefer to collaborate with the core team instead of their peers. We also found that most collaboration happens in software development (60%) and maintenance (47%) tasks. Furthermore, despite personal preferences to work independently, developers still consider collaborating with others in specific task categories, for instance, software development. Finally, developers also expressed the importance of the social coding platforms, such as GitHub, to support maintainers, and contributors in making decisions and developing tasks of the projects. Therefore, these findings may help project leaders optimize the collaborations among developers and reduce entry barriers. Moreover, these findings may support the project collaborators in understanding the collaboration process and engaging others in the project.« less
5. Two-Computer Pair Programming: Exploring a Feedback Intervention to improve Collaborative Talk in Elementary Students.

   https://doi.org/10.1080/08993408.2021.1877987  

   Zakaria, Zarifa ; Vandenberg, Jessica ; Tsan, Jennifer ; Boulden, Danielle Cadieux ; Lynch, Collin F. ; Boyer, Kristy Elizabeth ; Wiebe, Eric N. ( February 2021 , Computer Science Education)

   Background and Context: Researchers and practitioners have begun to incorporate collaboration in programming because of its reported instructional and professional benefits. However, younger students need guidance on how to collaborate in environments that require substantial interpersonal interaction and negotiation. Previous research indicates that feedback fosters students’ productive collaboration. Objective: This study employs an intervention to explore the role instructor-directed feedback plays on elementary students’ dyadic collaboration during 2-computer pair programming. Method: We used a multi-study design, collecting video data on students’ dyadic collaboration. Study 1 qualitatively explored dyadic collaboration by coding video transcripts of four dyads which guided the designmore »of Study 2 that examined conversation of six dyads using MANOVA and non-parametric tests. Findings: Result from Study 2 showed that students receiving feed- back used productive conversation categories significantly higher than the control condition in the sample group considered. Results are discussed in terms of group differences in specific conversation categories. Implications: Our study highlights ways to support students in pair programming contexts so that they can maximize the benefits afforded through these experiences.« less