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Krystal L. Williams; Edward Dillon; Shanice Carter; Janelle Jones; Shelly Melchior – ACM Transactions on Computing Education, 2024
Improving equity and inclusion for underrepresented groups in the field of Computer Science (CS) has garnered much attention. In particular, there is a long-standing need for diversity efforts that center on the experiences of Black women, and specific actions to increase their representation--especially given the biases that they often encounter…
Descriptors: Blacks, African Americans, Females, Disproportionate Representation
Bough, Ashley; Martinez Sainz, Gabriela – Curriculum Journal, 2023
Over 60 years of technology development, transformation of educational policy and curriculum innovation in Ireland have resulted in the introduction of the Computer Science (CS) subject in Post-Primary (PP) Education. CS has always been conceived digitally and the Digital Learning Experiences (DLE) enacted through its curriculum are strongly…
Descriptors: Digital Literacy, Instruction, Curriculum Design, Foreign Countries
Kallia, Maria; van Borkulo, Sylvia Patricia; Drijvers, Paul; Barendsen, Erik; Tolboom, Jos – Research in Mathematics Education, 2021
Recently, computational thinking (CT) has attracted much research attention, especially within primary and secondary education settings. However, incorporating in mathematics or other disciplines is not a straightforward process and introduces many challenges concerning the way disciplines are organised and taught in school. The aim of this paper…
Descriptors: Delphi Technique, Mathematics Education, Thinking Skills, Elementary Secondary Education
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Siddhi Sreemahadevan; Vidya G – Education and Information Technologies, 2024
The use of digital media among student community has increased their level of distraction during classroom teaching. Capturing their attention in classrooms, has become a cumbersome task for teaching faculty. Therefore, most of the academic institutions have resorted to the use of activity-based learning for science and engineering students that…
Descriptors: Comparative Analysis, Performance, Evaluation Methods, Engineering Education
Holanda, Maristela; Da Silva, Dilma – IEEE Transactions on Education, 2022
Contributions: The underrepresentation of women in computer science (CS) majors has long been a focus of attention in many academic documents, the majority of them from the United States and Europe. There is, however, a lack of information about educational interventions (EIs) for women in computing in Latin America. The contribution of this…
Descriptors: Foreign Countries, Hispanic American Students, Disproportionate Representation, Computer Science
Maqsood, Rabia; Ceravolo, Paolo; Ahmad, Muhammad; Sarfraz, Muhammad Shahzad – International Journal of Educational Technology in Higher Education, 2023
The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…
Descriptors: Foreign Countries, Computer Science, Undergraduate Students, Private Colleges
Yesengazyevna, Sagimbayeva Ainur; Sailaugul, Avdarsol; Meruert, Yerekesheva; Mynturganovna, Baiganova Altynzer; Daurenbekov, Kuanysh – Cypriot Journal of Educational Sciences, 2022
Everyone uses a traditional five-point grading system to assess students' activities, however, it is not always possible to objectively evaluate students' work using this method. Therefore, the authors use the criteria-based student assessment system in our lessons. The purpose of this article was to compile a model of a system for assessing…
Descriptors: Student Evaluation, Computer Literacy, Evaluation Criteria, Mastery Learning
Baytiyeh, Hoda; Elbassuoni, Shady – International Journal of Information and Communication Technology Education, 2021
Information and communication technologies have changed the way students learn, and higher education institutions in the Middle East region strive to attract professors who use technology in their daily teaching and learning practices. This study examines students' experiences in a web-enhanced computer science course. In an online survey based on…
Descriptors: College Students, Student Experience, Computer Science Education, Computer Science
Troy Hawk – ProQuest LLC, 2023
The problem that was addressed in this study was underrepresented minorities' low interest in pursuing computer science as a profession. The purpose of this quantitative, quasi-experimental study was to measure underrepresented youth's attitudes toward computer science. The issue remains a pressing challenge in the U.S. This study explored the…
Descriptors: Adolescents, Preadolescents, Minority Groups, Disproportionate Representation
Christopher A. Ramezan; Paul M. Coffy; Jared Lemons – Journal of Cybersecurity Education, Research and Practice, 2024
A trained workforce is needed to protect operational technology (OT) and industrial control systems (ICS) within national critical infrastructure and critical industries. However, what knowledge, skills, and credentials are employers looking for in OT cybersecurity professionals? To best train the next generation of OT cybersecurity professionals,…
Descriptors: Computer Security, Computer Science, Labor Force Development, Technical Occupations
Kaitlyn Nicole Stormes – ProQuest LLC, 2024
Despite efforts to increase representation among those enrolled, earning degrees, and working in the computing and technology industry, women across races/ethnicities and People of Color more broadly remain underrepresented in the field. Fortunately, extant literature has found that psychosocial factors like computing identity can help broaden…
Descriptors: Self Efficacy, Sense of Community, Predictor Variables, Self Concept
Jacob, Sharin Rawhiya; Montoya, Jonathan; Nguyen, Ha; Richardson, Debra; Warschauer, Mark – ACM Transactions on Computing Education, 2022
Developing student interest is critical to supporting student learning in computer science. Research indicates that student interest is a key predictor of persistence and achievement. While there is a growing body of work on developing computing identities for diverse students, little research focuses on early exposure to develop multilingual…
Descriptors: Multilingualism, Student Development, Self Concept, Computer Science
Campana, Kathleen; Mills, J. Elizabeth – Journal of Early Childhood Research, 2023
Computational thinking (CT) has emerged as an important method in the United States for helping children learn to solve complex problems and develop skills necessary for coding and other computer science-related endeavors. Research has revealed that CT can be encouraged with children as young as 3-4 years of age. While some preschools and schools…
Descriptors: Computation, Thinking Skills, Problem Solving, Coding
Hope Sikhosana; Hlologelo Malatji; Aldridge Munyoro – Cogent Education, 2023
The under-representation of women in the field of Science, Technology, Engineering, and Maths (STEM) is of great concern in South Africa. Despite the efforts made by the government to improve access to education for learners from previously disadvantaged communities, South African Black women are still under-represented in STEM fields. The present…
Descriptors: Blacks, Females, STEM Education, Foreign Countries

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