It’s Great to Be Back: An Experience Report Comparing Course Satisfaction Surveys Before, During and After Pandemic

Corral, Luis; Fronza, Ilenia

doi:10.1145/3537674.3554755

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…The global pandemic has inevitably impacted various social and economic activities worldwide, including those within the education sector, forced to shift from co-located to distributed environments. As a result, researchers have shared experience reports on conducting online courses during the pandemic [58,59], offering insights into the implications for future research in the field.…”

Section: Gse Education and Trainingmentioning

confidence: 99%

WITHDRAWN: The Impact of COVID-19 in Software Design Activities in the Global Software Engineering-Security Prospective

Nabi

2023

Preprint

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Background: Global Software Engineering (GSE) extends geographical, temporal, and cultural boundaries in distributed environments. Over the past two decades, GSE research has evolved to manage software development for distributed teams. The COVID- 19 pandemic highlights the need for comprehensive research, particularly during the software design phase, to support team collaboration in distributed development. Aim: This study systematically analyzes the evolution of research emphasis in the GSE field, specifically exploring on whether the research focuses increasing on software design due to the global pandemic. Method: We systematically analyzed the existing literature in two phases. In the first phase of our study, we mapped GSE research over the two decades leading to the pandemic (2000-2020). In the second phase, we used the forward snowballing approach to examine the literature on the software design phase published between 2020 and 2022. Results: The analysis of 592 research studies in the two phases reveals various trends in GSE research. Evaluation research is the most explored research type in methods and processes, and human aspects of development. Despite the paradigm shift caused by the COVID-19 pandemic that increased reliance on distributed teams, results show that while software organizations are extensively studied across all software engineering phases, the software design phase remains one of the least explored areas. Conclusion: This work highlights the evolving GSE research trends, emphasizing the rising significance of collaborative software design in distributed settings. Our findings address current research gaps and underscore the need for further research on software design activities. This contribution envisions a more collaborative, adaptable GSE field, guiding future research to support distributed teams.

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Section: Gse Education and Trainingmentioning

confidence: 99%

WITHDRAWN: The Impact of COVID-19 in Software Design Activities in the Global Software Engineering-Security Prospective

Nabi

2023

Preprint

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“…We also included detailed information regarding the target course, together with its syllabus, as well as providing the raw feedback data as collected from students. Our analysis of the literature has confirmed the existence of issues common to collaborative project-based coursework, as well as common challenges regarding the transition between in-person and online teaching (Corral and Fronza, 2022;Motogna et al, 2022a).…”

Section: Threats Tomentioning

confidence: 53%

“…Student course satisfaction before, during and after the switch to online activities caused by the pandemic was reported in (Corral and Fronza, 2022). Authors used the institution provided 9-item questionnaire to analyze 7 course iterations, two of which were before the pandemic and one after.…”

Section: Related Workmentioning

confidence: 99%

Transitioning a project-based course between onsite and online. An experience report

Suciu,

Motogna,

Molnar

2023

Journal of Systems and Software

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“…While these numerals denote the sequence of categories, they do not necessarily imply uniform intervals between them; subsequently, there is an assumption for consistent increments in the self-perception of academic performance levels that may lead to misinterpretations [104]. Secondly, our sample comprises university students exclusively from Universidad de Las Américas, and the study was conducted during the COVID-19 lockdown, both of which restrict the generalizability of our findings [100,101]. Thirdly, this study's aims to assess the impact of online learning modalities on self-rated academic performance inherently imposes limitations.…”

Section: Research Limitations and Future Lines Of Researchmentioning

confidence: 99%

“…However, the acoustic environment is indeed a factor that should be taken into account when assessing the online learning method from a holistic perspective. Another aspect to consider is that our study corresponds to the period of the COVID lockdown and that the results may evolve over time [100,101]. Technological advances are being implemented at a high speed, including new tools applied to education such as virtual reality or augmented reality [102,103].…”

Section: Models Metrics and Comparisonmentioning

confidence: 99%

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

Puyana-Romero,

Larrea-Álvarez,

Díaz-Márquez

et al. 2024

Sustainability

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In recent years, great developments in online university education have been observed, favored by advances in ICT. There are numerous studies on the perception of academic performance in online classes, influenced by aspects of a very diverse nature; however, the acoustic environment of students at home, which can certainly affect the performance of academic activities, has barely been evaluated. This study assesses the influence of the home acoustic environment on students’ self-reported academic performance. This assessment is performed by calculating prediction models using the Recursive Feature Elimination method with 40 initial features and the following classifiers: Random Forest, Gradient Boosting, and Support Vector Machine. The optimal number of predictors and their relative importance were also evaluated. The performance of the models was assessed by metrics such as the accuracy and the area under the receiver operating characteristic curve (ROC_AUC-score). The model with the smallest optimal number of features (with 14 predictors, 9 of them about the perceived acoustic environment) and the best performance achieves an accuracy of 0.7794; furthermore, the maximum difference for the same algorithm between using 33 and 14 predictors is 0.03. Consequently, for simplicity and the ease of interpretation, models with a reduced number of variables are preferred.

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It’s Great to Be Back: An Experience Report Comparing Course Satisfaction Surveys Before, During and After Pandemic

Cited by 5 publications

References 12 publications

WITHDRAWN: The Impact of COVID-19 in Software Design Activities in the Global Software Engineering-Security Prospective

WITHDRAWN: The Impact of COVID-19 in Software Design Activities in the Global Software Engineering-Security Prospective

Transitioning a project-based course between onsite and online. An experience report

Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment

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