scholarly journals The Impact of COVID-19 in Collaborative Programming. Understanding the Needs of Undergraduate Computer Science Students

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1728
Author(s):  
Carmen Lacave ◽  
Ana Isabel Molina
Keyword(s):  
Computer Science ◽  
Programming Model ◽  
Distributed Programming ◽  
Science Students ◽  
Distributed Collaboration ◽  
Cross Sectional ◽  
Model Based ◽  
Collaborative Programming ◽  
Collaboration Tools ◽  
The Impact

Collaborative learning activities have become a common practice in current university studies due to the implantation of the EHEA. However, the COVID-19 pandemic has led to a radical and abrupt change in the teaching–learning model used in most universities, and in the way students’ group work is carried out. Given this new situation, our interest is focused on discovering how computer science students have approached group programming tasks. For this purpose, we have designed a cross-sectional pilot study to explore, from both social and technological points of view, how students carried out their group programming activities during the shutdown of universities, how they are doing them now, when social distance must be maintained, and what they have missed in both situations. The results of the study indicate that during the imposed confinement, the students adopted a programming model based on work division or distributed peer programming, and very few made use of synchronous distributed collaboration tools. After the lockdown, the students mostly opted for a model based on collaborative programming and there was an increased use of synchronous distributed collaboration tools. The specific communication, synchronization, and coordination functionalities they considered most useful or necessary were also analyzed. Among the desirable features included in a software for synchronous distributed programming, the students considered that having an audio-channel can be very useful and, possibly, the most agile method to communicate. The video signal is not considered as very necessary, being in many cases rather a source of distraction, while textual communication through a chat, to which they are very accustomed, is also well valued. In addition, version control and the possibility of recovering previous states of the practical projects were highly appreciated by the students, and they considered it necessary to record the individual contributions of each member of the team to the result.

scholarly journals Using Formal Game Design Methods to Embed Learning Outcomes into Game Mechanics and Avoid Emergent Behaviour

2017 ◽  
Vol 7 (3) ◽  
pp. 63-73 ◽  
Author(s):  
Simon Grey ◽  
David Grey ◽  
Neil Gordon ◽  
Jon Purdy
Keyword(s):  
Computer Science ◽  
Learning Outcomes ◽  
Game Design ◽  
Learning Experience ◽  
Careful Consideration ◽  
Science Students ◽  
Game Based Learning ◽  
Game Mechanics ◽  
Negative Effect ◽  
The Impact

This paper offers an approach to designing game-based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al., 2004) and the elemental tetrad model (Schell, 2008) for game design. A case for game based learning as an active and social learning experience is presented including arguments from both teachers and game designers concerning the value of games as learning tools. The MDA model is introduced with a classic game- based example and a non-game based observation of human behaviour demonstrating a negative effect of extrinsic motivators (Pink, 2011) and the need to closely align or embed learning outcomes into game mechanics in order to deliver an effective learning experience. The MDA model will then be applied to create a game based learning experience with the goal of teaching some of the aspects of using source code control to groups of Computer Science students. First, clear aims in terms of learning outcomes for the game are set out. Following the learning outcomes, the iterative design process is explained with careful consideration and reflection on the impact of specific design decisions on the potential learning experience. The reasons those decisions have been made and where there may be conflict between mechanics contributing to learning and mechanics for reasons of gameplay are also discussed. The paper will conclude with an evaluation of results from a trial of computer science students and staff, and the perceived effectiveness of the game at delivering specific learning outcomes, and the approach for game design will be assessed.

scholarly journals Comprehend the Performance of MapReduce Programming model for K-Means algorithm on Hadoop Cluster

2019 ◽  
Vol 8 (9) ◽  
pp. 1600-1603
Keyword(s):  
Big Data ◽  
Programming Model ◽  
Primary Memory ◽  
Model Based ◽  
Considerable Research ◽  
Memory Size ◽  
Input Size ◽  
Mapreduce Model ◽  
Hadoop Cluster ◽  
The Impact

MapReduce is a programming model used for processing Big Data. There are had been considerable research in improvement of performance of MapReduce model. This paper examines performance of MapReduce model based on K Means algorithm inside the Hadoop cluster. Different input size had been taken on various configurations to discover the impact of CPU cores and primary memory size. Results of this evaluation had been shown that the number of cores had maximum impact of the performance of MapReduce model.

Property Size and Rangeland Degradation in the Queensland Mulga Rangelands.

1992 ◽  
Vol 14 (1) ◽  
pp. 9 ◽  
Author(s):  
JGI Passmore ◽  
CG Brown
Keyword(s):  
Dynamic Programming ◽  
Programming Model ◽  
Stochastic Dynamic ◽  
Cross Sectional ◽  
Rangeland Degradation ◽  
Financial Benefits ◽  
Programming Techniques ◽  
Dynamic Programming Model ◽  
The Impact ◽  
Stocking Rates

Small property size is often cited as one of the major causes of rangeland degradation in Australia. However, there is some conjecture as to the importance of this effect and the process by which small property sizes lead to rangeland degradation. Relatively little empirical analysis of these issues has been undertaken, especially in a dynamic context which is all important in the case of rangeland degradation. Regression and dynamic programming techniques are employed in this study to investigate and measure the impact of property sizes on the use and state of one of Australia's most important rangelands, the Queensland mulga rangeland. Regression analysis of cross sectional data reveals significant correlations between property size, stocking rate and degradation. These correlations are confirmed in a normative stochastic dynamic programming model which demonstrates that it is economically optimal for graziers managing smaller properties to adopt higher stocking rates. For these graziers, the longterm costs of land degradation are exceeded by short-term financial benefits of heavier stocking. Thus government policy aimed at arresting the serious degradation occurring in the mulga rangelands should focus on measures to facilitate property build-up..

scholarly journals Model based adaptive filter: assessment of image noise, sharpness and quality in coronary CT angiography

2021 ◽  
Vol 22 (Supplement_3) ◽  
Author(s):  
M Vecsey-Nagy ◽  
AJ Jermendy ◽  
MHP Maurovich-Horvath ◽  
SB Szilveszter
Keyword(s):  
Image Quality ◽  
Ct Angiography ◽  
Adaptive Filter ◽  
Coronary Ct Angiography ◽  
Image Noise ◽  
Cross Sectional ◽  
Model Based ◽  
Coronary Ct ◽  
Noise Ratio ◽  
The Impact

Abstract Funding Acknowledgements Type of funding sources: None. On Behalf of Cardiovascular Imaging Research Group Background The effect of filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR) on coronary CT angiography (CCTA) images have been extensively studied and such algorithms are ubiquitously applied in the reconstruction of CCTA datasets. Currently, however, no data is available on the impact of a recently developed model based adaptive filter (MBAF). Purpose  Our aim was to determine the effect of MBAF on the image quality of prospectively gated CCTA datasets. Methods  We evaluated the images of 102 consecutive patients who underwent clinically indicated CCTA at our department. Four reconstructions of coronary cross-sectional images (FBP, ASIR, MBAF, ASIR + MBAF) were co-registered and assessed for qualitative (graininess, sharpness, overall image quality) and quantitative [image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)] image quality parameters. Image noise and signal were measured in the aortic root and the left main coronary artery, respectively. Graininess, sharpness, and overall image quality was assessed on a 5-point Likert scale by two experienced readers blinded to the reconstruction algorithm. Results  No difference in sharpness was observed amongst the reconstructions (p = 0.08). Although ASIR + MBAF was non-superior to ASIR regarding overall image quality (p = 0.99), it performed better than FBP (p < 0.001), and MBAF (p < 0.001) alone. As compared to FBP, ASIR, and MBAF, the combination of ASIR and MBAF resulted in reduced image noise [53 ± 12, 31 ± 9, 36 ± 4, and 26 ± 4 Hounsfield units (HU), respectively; p < 0.001] and improved SNR (8 ± 3, 14 ± 4, 12 ± 2,16 ± 3 HU, respectively; p < 0.001) and CNR (17 ± 3, 16 ± 4, 13 ± 2, 18 ± 4 HU, respectively; p < 0.001). Conclusion The combination of ASIR and MBAF resulted in reduced image noise and improved SNR and CNR. The implementation of MBAF in clinical practice may result in easier interpretation of CCTA images and could potentiate radiation dose reduction.

scholarly journals Assessment of physical activity and sedentary behaviour in bachelors of computer science students using global physical activity questionnaire version 2: a cross-sectional study

2020 ◽  
Vol 7 (8) ◽  
pp. 3237
Author(s):  
Juhi Nilesh Shah ◽  
Aditi Ketkar Berry
Keyword(s):  
Physical Activity ◽  
Computer Science ◽  
Sedentary Behaviour ◽  
Cross Sectional Study ◽  
Science Students ◽  
Sectional Study ◽  
Cross Sectional ◽  
Global Physical Activity Questionnaire ◽  
Study Participants ◽  
Activity Questionnaire

Background: Physical activity has been determined as primary prevention strategy against 35 chronic conditions. Lack of physical activity, improper diet and increase in the use of computer has various health hazards. Considering that the bachelor of computer science students will mostly have sedentary work profile, once they enter the professional world, the objective of the present study was to assess their physical activity level using global physical activity questionnaire (GPAQ) version 2.Methods: A cross sectional study was conducted on 355 participants, 244 males and 111 females, from an institution catering bachelors of computer science course using GPAQ questionnaire. The data was analyzed to see if they meet the criteria set by World Health organization (WHO) and were classified into categories on basis of MET minute/week. The average time spent in sitting position was also calculated.Results: At work, 19.15% study participants were moderately active; in travel domain 64.5% were active, in leisure domain 43.94% were vigorously while 41.4% were moderately active. 73.23% of study participants met the WHO set criteria. 26.76% participants were inactive, 62.53% low active, 10.14% moderate active while only 0.81% was highly active. Average time spent in sitting was around 9 hours.Conclusions: Even though 73.23% of study participants met the criteria, most of the participants had low level of physical activity, thus there is huge scope for improvement in it. They also need to be educated regarding the risks of sedentary behaviour which will further help to reduce the hazards related to physical inactivity.

scholarly journals Anxiety and Depression Among Health Sciences Students in Home Quarantine During the COVID-19 Pandemic in Selected Provinces of Nepal

2021 ◽  
Vol 9 ◽  
Author(s):  
Rajesh Kumar Yadav ◽  
Sushila Baral ◽  
Elina Khatri ◽  
Sony Pandey ◽  
Pawan Pandeya ◽  
...  
Keyword(s):  
Large Scale ◽  
Geographical Area ◽  
Health Sciences ◽  
Health Science ◽  
Anxiety And Depression ◽  
Science Students ◽  
Cross Sectional ◽  
Health Science Students ◽  
Health Sciences Students ◽  
The Impact

Aim: This study aimed to assess anxiety and depression among health sciences students at home quarantine during the COVID-19 pandemic in selected provinces of Nepal.Methods: A web-based cross-sectional study was conducted among 409 health science students enrolled at graduate and post-graduate levels in selected universities and their affiliated colleges. Students from selected colleges were asked to fill out a survey, that was made available through email and social media outlets such as Facebook and Viber. The data were downloaded in Excel and imported to SPSS version 16 for analysis.Results : The prevalence of anxiety and depression was 15.7 and 10.7%, respectively. The study showed significant associations between (i) place of province and anxiety; (ii) sleep per day and depression; (iii) hours spent on the internet per day for education and depression; (iv) postponement of final exams and depression. There were no significant associations with the socio-demographic variables.Conclusion: Anxiety and depression in health science students showed correlation with the province, internet use for education, and postponement of exams. These correlations could be common among students in other fields as well. A large-scale study covering a wider geographical area and various fields of education is necessary to further evaluate the impact of COVID-19 on (health sciences) students. The integration of mental health programs both as an intervention and a curriculum level among students is critical to ensure the health of the students.

scholarly journals Promoting Distributed Programming Practices Among Computer Science Students.

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
M. A Ogunrinde
Keyword(s):  
Computer Science ◽  
University Student ◽  
Distributed Programming ◽  
Science Students ◽  
Online Questionnaire ◽  
Software Developers ◽  
Student Collaboration ◽  
Programming Practices ◽  
High Institution

The use of distributed programming has become popular practice among software developers in the last few years. Although, quite a number of researchers has explored the domain but its implementation still poses a lots of problems. Similarly, adoption of the practice in the classroom is not left out as it required additional tools. In this report, I have assessed the use and acceptability of the distributed programming practices among students of computer science using an online questionnaire. The results showed that the level of awareness of distributed programming practice among the students of computer science is very low so also is that of the tools that facilitate it. Therefore introducing the practices into the curriculum of high institution of learning is highly recommended as this will strengthen the inter-university student collaboration.

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