A comparison of male and female computer science students' attitudes toward computers

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.

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College Majors and their Harmony with Students’ Multiple Intelligences

Humanities and Management Sciences - Scientific Journal of King Faisal University ◽

10.37575/h/edu/0049 ◽

2021 ◽

Author(s):

Eiad Alnajjar

Keyword(s):

Multiple Intelligences ◽

Female Students ◽

Science Students ◽

College Administration ◽

College Majors ◽

Male And Female ◽

Significant Difference ◽

Attitudes Towards Science ◽

Students Attitudes ◽

Undergraduate Science

This study aims to explore the harmonisation of scientific specialisation for undergraduate science students using multiple intelligences (MI), their relationship to academic achievement (GPA) and the students’ attitudes towards science. The sample consists of 198 male and female students chosen randomly from different year groups in the departments of physics and chemistry at Al-Qunfudah College at Umm Al-Qura University in Saudi Arabia. The study used a tool to survey MI and a questionnaire to measure the sample’s attitudes towards science. The researcher obtained the students’ GPAs from the college administration department. The results showed that the ranking of intelligences for the sample, respectively, was existential, logical, interpersonal, kinaesthetic, naturalistic, visual, intrapersonal, linguistic and musical. There was consistency between the levels of students’ MI with their science specialisation. There was no significant correlation between the levels of study, GPA variables and attitudes towards science. There was a significant and positive increasing correlation between GPA and each of the following MI: logical, intrapersonal and existential. There was a significant difference between attitudes towards science in favour of chemistry, a significant difference between the medians of existential intelligence in females and a significant and positive increasing correlation between the attitudes towards science and existential intelligence.

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

Software Engineering ◽

10.4018/978-1-60566-102-5.ch012 ◽

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.

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COMPUTER SCIENCE STUDENTS’ ATTITUDES TOWARDS ENGLISH LANGUAGE LEARNING

Education of English as A Foreign Language ◽

10.21776/ub.educafl.2018.001.02.05 ◽

2018 ◽

Vol 1 (2) ◽

pp. 43-53 ◽

Cited By ~ 1

Author(s):

Iswahyuni Iswahyuni ◽

Keyword(s):

Language Learning ◽

Computer Science ◽

English Language ◽

English Language Learning ◽

Science Students ◽

Students Attitudes

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Computer Science Students’ Attitudes Towards the Use of Structured and Unstructured Discussion Forums in Fully Online Courses

Online Learning ◽

10.24059/olj.v22i1.995 ◽

2018 ◽

Vol 22 (1) ◽

Cited By ~ 3

Author(s):

Moanes Hani Tibi

Keyword(s):

Computer Science ◽

Online Courses ◽

Discussion Forum ◽

Control Group ◽

Colleges Of Education ◽

Science Students ◽

Discussion Forums ◽

Science Courses ◽

Computer Science Courses ◽

Students Attitudes

This study aims to investigate and analyze the attitudes and opinions of computer science students at two academic colleges of Education with regards to the use of structured and unstructured discussion forums in computer science courses conducted entirely online. Fifty-two students participated in two online courses. The students in each course were divided into two groups: the experimental group, which participated in the structured discussion forum, and the control group, which participated in the unstructured discussion forum. The questionnaire, which was used for collecting the data, consisted of closed and open-ended questions. The results revealed that the attitudes of students who participated in the structured discussion forum were positive compared to the attitudes of students who participated in the unstructured discussion forum. Based on the results of the study, the researcher suggests some appropriate recommendations.

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Factors that Influence Attitudes of Computer Science Students towards Mathematics and Related Courses at the Tertiary Level of Education

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20aug377 ◽

2020 ◽

Vol 5 (8) ◽

pp. 1328-1335

Author(s):

Rosemary Twum ◽

Christopher Yarkwah ◽

Benjamin Eduafo Arthur

Keyword(s):

Data Collection ◽

Computer Science ◽

Time Allocation ◽

Teaching And Learning ◽

Survey Design ◽

Target Population ◽

Science Students ◽

Cape Coast ◽

Bachelor Of Science ◽

Students Attitudes

The main purpose of this study was to examine the factors that influence the attitudes of computer science students towards the teaching and learning of mathematics and related courses in a public university situated in the Cape Coast Metropolis of Ghana. To achieve this, a descriptive survey design was adopted. In addition, a quantitative approach to data collection and analysis was employed for the study. The target population for the study were all Bachelor of Education (Computer Science) and Bachelor of Science (Computer Science) students in the said university. In all, 150 students were randomly sampled and used as the respondents for the study. The main instrument used for data collection process was a structured questionnaire. The study found that instructor or lecturer-student relationship have an influence on the students’ attitudes towards the teaching and learning of mathematics and related courses. Also, the mathematics curricula used at the university have influence on students’ attitude towards the teaching and learning of mathematics and related courses. In addition, institutional factors such as time allocation on time table and the adequacy of teaching and learning resources has some form of influence on students’ attitude. Implications of the findings are further discussed in the study.

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Tidal Flow: A Fast and Teachable Maximum Flow Algorithm

OLYMPIADS IN INFORMATICS ◽

10.15388/ioi.2018.03 ◽

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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