scholarly journals Factors affecting student educational choices regarding OER material in Computer Science

2022 ◽  
Author(s):  
Anastasia Angelopoulou ◽  
Rania Hodhod ◽  
Alfredo J. Perez
Keyword(s):  
Computer Science ◽  
Educational Choices ◽  
Factors Affecting

scholarly journals Learner Inclinations to Study Computer Science or Information Systems at Tertiary Level

2010 ◽  
Vol 45 ◽  
Author(s):  
C Jacobs ◽  
D A Sewry
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Computer Science ◽  
South African ◽  
Tertiary Level ◽  
Western Cape ◽  
Eastern Cape ◽  
Factors Affecting ◽  
Learner Perceptions ◽  
Dot Com

After the so-called “dot-com crash” of the Internet in the early 2000s, tertiary level student enrolments in IT-related subjects began to experience a significant decline both in international countries and South Africa. The paper replicates research done in the Western Cape, South Africa, by Seymour et al. (2005) [20], in which grade 12 learner inclinations to study Computer Science (CS) and Information Systems (IS) at tertiary level were analysed and underlying factors affecting their interest in the subjects were determined. The study analyses the “misguided” perceptions that learners and students have of these subjects; the implications of the decline in enrolments on students, educational sectors and industry; and determines a set of underlying factors that influence learners in their attitudes toward further degrees in IT, starting from the secondary level of education. The research compares South African Eastern Cape learner perceptions with those from the Western Cape study and establishes three to four years later, that the reasons behind the decline in IT enrolments are still influenced by an underlying demographic and digital divide.

scholarly journals Learner Inclinations to Study Computer Science or Information Systems at Tertiary Level

2010 ◽  
Vol 44 ◽  
Author(s):  
C Jacobs ◽  
DA Sewry
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Computer Science ◽  
South African ◽  
Tertiary Level ◽  
Western Cape ◽  
Eastern Cape ◽  
Factors Affecting ◽  
Learner Perceptions ◽  
Dot Com

After the so‐called “dot‐com crash” of the Internet in the early 2000s, tertiary level student enrolments in IT‐related subjects began to experience a significant decline both in international countries and South Africa. The paper replicates research done in the Western Cape, South Africa, by Seymour et al. (2005) [20], in which grade 12 learner inclinations to study Computer Science (CS) and Information Systems (IS) at tertiary level were analysed and underlying factors affecting their interest in the subjects were determined. The study analyses the “misguided” perceptions that learners and students have of these subjects; the implications of the decline in enrolments on students, educational sectors and industry; and determines a set of underlying factors that influence learners in their attitudes toward further degrees in IT, starting from the secondary level of education. The research compares South African Eastern Cape learner perceptions with those from the Western Cape study and establishes three to four years later, that the reasons behind the decline in IT enrolments are still influenced by an underlying demographic and digital divide.

scholarly journals Factors Affecting Technology Innovation and Its Commercialisation in Firms

2016 ◽  
Vol 10 (7) ◽  
pp. 36 ◽  
Author(s):  
Davar Azarmi
Keyword(s):  
Decision Making ◽  
Computer Science ◽  
Technology Innovation ◽  
Influential Factor ◽  
Friedman Test ◽  
University Professors ◽  
Factors Affecting ◽  
Comprehensive List ◽  
Major Factors ◽  
Innovation Support

<p>This article aims to form a comprehensive list of influential elements on technology innovation and its commercialisation in firms and furthermore categorises and ranks them to assist managers and technology entrepreneurs in their decision making. 46 elements are derived from the literature and are organised under nine major factors. Also, by the opinions of 108 computer science university professors and using Friedman test, they are ranked based on their importance. The results show that the top three factors are about the attitude of a firm toward technology innovation (‘support’, ‘knowledge’ and ‘technology’) while the least influential factor is the firm's ‘ideology’. The results would help managers to assess their firms’ abilities regarding technology innovation and its commercialisation and assist them to determine where and how they should distribute their resources and concentrate their efforts.</p>

scholarly journals Factors Affecting Attrition among First Year Computer Science Students: the Case of University of Latvia

2015 ◽  
Vol 3 ◽  
pp. 36 ◽  
Author(s):  
Juris Borzovs ◽  
Laila Niedrite ◽  
Darja Solodovnikova
Keyword(s):  
High School ◽  
Computer Science ◽  
Drop Out ◽  
First Year ◽  
High School Mathematics ◽  
Intermediate Grades ◽  
Study Program ◽  
Factors Affecting ◽  
High School Grades ◽  
Core Courses

<p class="R-AbstractKeywords"><span lang="EN-GB">The purpose of our study was to identify reasons for high dropout of students enrolled in the first year of the computer science study program to make it possible to determine students, who are potentially in risk. Several factors that could affect attrition, as it was originally assumed, were studied: high school grades (admission score), compensative course in high school mathematics, intermediate grades for core courses, prior knowledge of programming. However, the results of our study indicate that none of the studied factors is determinant to identify those students, who are going to abandon their studies, with great precision. The majority of the studied students drop out in the 1st semester of the 1st year, and the dropout consists mostly of those, who do not really begin studies. Therefore, one of the main conclusions is such that the planned activities of informing about the contents of the program should be carried out, and the perspective students should be offered a possibility to evaluate their potential to study computer science before choosing a study program. </span></p>

Minority Students in Computer Science

2021 ◽  
pp. 88-104
Author(s):  
Jung Won Hur
Keyword(s):  
Computer Science ◽  
Minority Students ◽  
Learning Environments ◽  
Culturally Responsive Teaching ◽  
Culturally Responsive ◽  
Role Model ◽  
Responsive Teaching ◽  
Factors Affecting ◽  
K 12 ◽  
Collaborative Efforts

Over the past decade, a number of collaborative efforts to expand computer science (CS) education in U.S. K-12 schools have been made (e.g., CS 10K and CSforAll). Despite various efforts, minority students, such as African Americans and Hispanics, still face unique barriers to accessing CS courses, resulting in the underrepresentation of minorities in the field of CS. This chapter reviews factors affecting minority students' interest in and access to CS learning and identified barriers, such as a lack of CS courses offered in schools, students' lack of self-efficacy in CS, and a lack of role model who can encourage minority students to study CS in college. The chapter also introduces the culturally responsive teaching (CRT) framework, followed by a discussion on how teachers can incorporate CRT strategies to create culturally responsive computing learning environments where minority students' engagement and success in CS are promoted.

SELECTION OF A SYSTEM OF COMPUTER SCIENCE TEACHING METHODS USING A SOFTWARE PACKAGE

2018 ◽  
pp. 50-58
Author(s):  
Tatyana Yurevna KITAEVSKAYA ◽  
Vyacheslav Petrovich TIGROV
Keyword(s):  
Computer Science ◽  
Science Teaching ◽  
Teaching Methods ◽  
Software Package ◽  
Large Data ◽  
Academic Disciplines ◽  
External Information ◽  
Data Sets ◽  
Factors Affecting ◽  
Selection Of

We discuss the problem of designing a system of teaching methods in the context of the dynamics of the external information environment. The necessity of attracting technology that makes it possible to quickly select the methods of organizing the educational and cognitive activities of students by automating the processing of a database containing large data sets of available general, special and particular didactic methods and their functional suitability is substantiated. The problem is solved using formalized methods. The factors affecting the selection of a system of teaching methods are identified. An algorithm for designing a system of teaching methods is developed in accordance with the necessary restrictions reflecting a system of factors determining a complex of effective methods for studying didactic units and modules of the content of the discipline. The developed algorithm is implemented as a software package. This complex is a means of supporting the decision making of choosing a system of computer science teaching methods and allows the teacher to make an informed selection of the most effective teaching methods in automatic or automated modes, taking into account personal preferences. The universality of the complex consists in the possibility of modifying the database in accordance with the specifics of specific academic disciplines, which makes it possible to use it in the education system.

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