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Matthee, Machdel; Turpin, Marita – Journal of Information Systems Education, 2019
Critical thinking and problem solving skills are included in the IS curriculum as foundational skills. IS education researchers recognize the importance of these skills for future IS practitioners given the complexity of the technology based society and economy of the future. However, there is limited work on how these skills are best taught in…
Descriptors: Teaching Methods, Critical Thinking, Problem Solving, Design
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McGee, Ebony; Griffith , Derek; Houston, Stacey, II – Teachers College Record, 2019
Background/Context: It is well documented that Black doctoral students in engineering and computing fields experience more stress and strain during doctoral training than their White and Asian peers. However, few studies have examined how Black engineering and computing doctoral students and postdoctoral researchers experience these challenges and…
Descriptors: Anxiety, African American Students, Graduate Students, Doctoral Programs
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Ioannis, Berdousis; Maria, Kordaki – Education and Information Technologies, 2019
The study of gender differences in Computer Science (CS) has captured the attention of many researchers around the world. Over time, research has revealed that negative stereotypes and 'myths' about the cognitive skills, academic abilities and interests of females in CS do exist, deterring females from entering the field. Thus, this study aims to…
Descriptors: Computer Science Education, Gender Differences, Stereotypes, Misconceptions
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Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
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Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2019
Collaboration is an increasingly important and difficult skill for graduate engineers to develop. While universities provide some measures of collaboration ability of students on graduation, there is still some dissatisfaction with the level of preparedness of students for collaborative activity in the workplace. This paper presents a case study…
Descriptors: Engineering Education, College Freshmen, Blended Learning, Cooperation
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Kam, Hwee-Joo; Katerattanakul, Pairin – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: In this study, the researchers investigated whether the out-of-class learning approach could help the students to attain any valuable learning outcomes for cybersecurity learning and could enhance the perceived value of cybersecurity education among the students. Background: Cybersecurity learning poses challenges for its students to…
Descriptors: Academic Achievement, Learner Engagement, Computer Security, Information Security
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Nyame, Faustina; Alhassan, Ibrahim; Alhassan, Abukari – Higher Education Studies, 2019
This paper examines students' perception of the impact of lecturers' ranks on their performance across departments in the Faculty of Mathematical Sciences (FMS) of the University for Development Studies (UDS), Navrongo Campus. The study used a self-designed structured questionnaire administered to 160 respondents (students) of the Faculty. All the…
Descriptors: Multivariate Analysis, Student Attitudes, Instructional Effectiveness, College Faculty
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Sulmont, Elisabeth; Patitsas, Elizabeth; Cooperstock, Jeremy R. – ACM Transactions on Computing Education, 2019
Given its societal impacts and applications to numerous fields, machine learning (ML) is an important topic to understand for many students outside of computer science and statistics. However, machine-learning education research is nascent, and research on this subject for non-majors thus far has only focused on curricula and courseware. We…
Descriptors: Man Machine Systems, Artificial Intelligence, Nonmajors, College Faculty
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Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
Earls, Eamon McCarthy – Pioneer Institute for Public Policy Research, 2019
Fintech describes new technology aimed at improving and automating the delivery of financial services. The term encompasses a wide variety of finance industry segments, such as crowdfunding, peer-to-peer lending, payments, data collection, cryptocurrency, credit scoring, cybersecurity for finance, thematic investing, algorithmic asset management,…
Descriptors: Public Colleges, Financial Services, Information Technology, Technological Advancement
Kim, Ji Yeon – ProQuest LLC, 2019
With the high influx of computer science enrollment in universities in the last decade, there is increasing value and wide-reaching effects in improving pedagogy in the field. This improvement is especially useful in introductory computer science courses (CS1). Student experience in the first programming course is known to heavily influence…
Descriptors: College Students, Computer Science Education, Introductory Courses, Programming
Olivares, Daniel Michael – ProQuest LLC, 2019
The 2012 report by the US President's Council of Advisors on Science and Technology (PCAST) predicts a deficit in the workforce for science, technology, engineering, and mathematics (STEM) in the following decade and emphasizes the importance of addressing this shortfall. According to the report, less than half of the three million students…
Descriptors: Intervention, Computer Science Education, Programming, Social Behavior
Beckman, Joseph W. – ProQuest LLC, 2019
Information security practitioners and researchers who possess sufficient depth of conceptual understanding to reconstitute systems after attacks or adapt information security concepts to novel situations are in short supply. Education of new information security professionals with sufficient conceptual depth is one method by which this shortage…
Descriptors: Achievement Gains, Cognitive Processes, Coding, Technology
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Ait-Adda, Samia; Bousbia, Nabila; Balla, Amar – E-Learning and Digital Media, 2023
Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…
Descriptors: Semantics, Learning Processes, Learning Analytics, Models
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Sara Genut; Yifat Ben-David Kolikant – Informatics in Education, 2023
Programs in bioinformatics, offered in many academic institutes, are assumed to expand women's representation in computer science (CS). Women's enrolment in these programs is high. Our questions are: Do these programs attract different women from those attracted to CS programs? What factors underlie women's decision to enroll in bioinformatics…
Descriptors: Biology, Information Science, Computer Science Education, Disproportionate Representation
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