This research paper answers the question that how shall the students of software engineering undergraduate courses form teams for the capstone projects that can be cohesive too. In this research, 128 criteria for team formation are proposed for building teams for self-managing software engineering capstone projects. A comparison is also conducted to ascertain the level of cohesion among those teams that were formed using the proposed criteria and those that were not formed using the proposed criteria. The criteria were identified through a combination of qualitative questionnaire survey targeted at the graduated students of the past batches of Computer Science degree program and through synthesizing the literature on engineering capstone project teams identified under the guidance of KSAO framework for software engineering students. To check the effectiveness of the criteria, 100 students were asked to form the teams using the proposed criteria and other 100 students formed the teams without the proposed criteria. Those students that had used the proposed criteria for building teams and those that had formed teams without using the proposed criteria were asked to fill the modified Group Environment Questionnaire to ascertain the level of cohesion among the team members. The results were analyzed qualitatively and through descriptive quantification. The results show that the level of cohesion in teams that were formed using the proposed team building criteria was higher. There was a need for team building criteria in the literature on software engineering capstone project teams that conforms to a conceptual, theoretical framework; this gap is now filled through this research. This paper may also serve as a literature review paper for some readers.
: In this research, the factors that affect the computer science student's academic performance are investigated in the scenario of online learning induced by the COVID-19 pandemic. It is found that while staying at home, and getting tutored online, the academic achievement of the students of Computer Science gets affected by the following group of factors: Family characteristics (family causal factors), Student's academic characteristics, Social and personal characteristics, Psychological and Health Related Factors, Institutional characteristics, Teachers (academic causal factors), Perceptions about Online Learning, Perception about Computers. As opposed to the general usage of only the CGPA as a measure of the academic performance, this research introduces the online self-study time (OSST) as well, as a measure of the academic performance. A total of 170 students had responded to a questionnaire administered to them to assess the effects of the identified factors. The questionnaire was checked for reliability and validity as well, using construct reliability, indicator reliability, convergent validity, and discriminant validity. The students were from various semesters of Bachelor of Computer Science degree program. The questionnaire data is subjected to the multinomial logistic regression analysis. Results have shown that there is relation that exists between the identified factors and the academic performance of the students that is reflected in their CGPA and the OSST. Keywords : COVID-19, Academic performance, Online learning, Online Self-study Time (OSST).
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