Learning Environment - What Matters for the High Ability Computer Science Students?

2021 ◽  
Author(s):  
Oydinoy Zufarova ◽  
Viktoriia Kondratieva ◽  
Oksana Zhirosh
Keyword(s):  
Learning Environment ◽  
Computer Science ◽  
High Ability ◽  
Science Students ◽  
What Matters

Integrated Software Testing Learning Environment for Training Senior-Level Computer Science Students

2009 ◽  
pp. 2029-2045
Author(s):  
Daniel Bolanos ◽  
Almudena Sierra
Keyword(s):  
Learning Environment ◽  
Computer Science ◽  
Software Testing ◽  
Statistical Significance ◽  
Science Students ◽  
Testing Tools ◽  
Testing Techniques ◽  
Students Attitudes ◽  
Integrated Software

Due to the increasingly important role of software testing in software quality assurance, during the last several years, the utilization of automated testing tools, and particularly those belonging to the xUnit family, has proven to be invaluable. However, as the number of resources available continues increasing, the complexity derived from the selection and integration of the most relevant software testing principles, techniques and tools into an adequate learning environment for training computer science students in software testing, increases too. In this chapter we introduce a experience of teaching Software Testing for a senior-level course. In the elaboration of the course a wide variety of testing techniques, methodologies and tools have been selected and seamlessly integrated. An evaluation of students performance during the three academic years that the course has been held show that students’ attitudes changed with a high or at least a positive statistical significance.

scholarly journals Female computer science students: A qualitative exploration of women’s experiences studying computer science at university in the UK

2021 ◽  
Author(s):  
Julia Yates ◽  
Anke C. Plagnol
Keyword(s):  
Learning Environment ◽  
Computer Science ◽  
Science Students ◽  
Women's Participation ◽  
Template Analysis ◽  
The Social ◽  
The Uk ◽  
Science Departments ◽  
Qualitative Exploration ◽  
Education Courses

AbstractThe under-representation of w omen in computer science education courses is well documented, and the social and commercial need to address this is widely recognised. Previous literature offers some explanation for this gender imbalance, but there has been limited qualitative data to provide an in-depth understanding of existing quantitative findings. This study explores the lived experiences of female computer science students and how they experience the male dominated learning environment. Female computer science students from eight universities were interviewed (n = 23) and data were analysed using template analysis. Whilst these women have not been troubled by their sense of fit at university, a combination of stereotypical assumptions of male superiority in this field, and a masculine, agentic learning environment, has left them feeling less technologically capable and less motivated. The findings are discussed in terms of Cheryan et al.’s tripartite model for women’s participation in STEM (2017) and we recommend that computer science departments should consider feminist pedagogy to ensure that all learners can be well supported.

Integrated Software Testing Learning Environment for Training Senior-Level Computer Science Students

2009 ◽  
pp. 233-249
Author(s):  
Daniel Bolanos ◽  
Almudena Sierra
Keyword(s):  
Learning Environment ◽  
Computer Science ◽  
Software Testing ◽  
Statistical Significance ◽  
Science Students ◽  
Testing Tools ◽  
Testing Techniques ◽  
Students Attitudes ◽  
Integrated Software

Due to the increasingly important role of software testing in software quality assurance, during the last several years, the utilization of automated testing tools, and particularly those belonging to the xUnit family, has proven to be invaluable. However, as the number of resources available continues increasing, the complexity derived from the selection and integration of the most relevant software testing principles, techniques and tools into an adequate learning environment for training computer science students in software testing, increases too. In this chapter we introduce a experience of teaching Software Testing for a senior-level course. In the elaboration of the course a wide variety of testing techniques, methodologies and tools have been selected and seamlessly integrated. An evaluation of students performance during the three academic years that the course has been held show that students’ attitudes changed with a high or at least a positive statistical significance.

Tidal Flow: A Fast and Teachable Maximum Flow Algorithm

2018 ◽  
Vol 12 ◽  
pp. 25-41
Author(s):  
Matthew C. FONTAINE
Keyword(s):  
Computer Science ◽  
Tidal Flow ◽  
Maximum Flow ◽  
Efficient Algorithms ◽  
Science Students ◽  
Flow Algorithm ◽  
Maximum Flows

Among the most interesting problems in competitive programming involve maximum flows. However, efficient algorithms for solving these problems are often difficult for students to understand at an intuitive level. One reason for this difficulty may be a lack of suitable metaphors relating these algorithms to concepts that the students already understand. This paper introduces a novel maximum flow algorithm, Tidal Flow, that is designed to be intuitive to undergraduate andpre-university computer science students.

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