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Marquardson, Jim; Elnoshokaty, Ahmed – Information Systems Education Journal, 2020
People starting cybersecurity careers have three main avenues for achieving entry-level job qualifications: learning in-demand skills, earning industry certifications, and graduating with a college degree. Though people can pursue skills, certificates, and degrees together, financial and time constraints often make people focus their efforts to…
Descriptors: Information Security, Computer Security, Employment Opportunities, Employment Qualifications
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Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education
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Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
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Pattemore, Anastasia; Muñoz, Carmen – Language Learning Journal, 2023
The present study explores the effects of distributed practice by extending this area of research to L2 learning from audiovisual input. A total of 96 L1 Russian elementary to advanced learners of English watched five episodes of captioned TV series under three viewing distribution conditions: longer spacing of viewing once per week; shorter…
Descriptors: Television Viewing, Programming (Broadcast), Vocabulary Development, Language Tests
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Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
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Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language using ScratchJr (CAL-ScratchJr) curriculum, developed by Boston College's DevTech Research Group utilizing the ScratchJr app, impacted second grade students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly…
Descriptors: Coding, Programming Languages, Computer Science Education, School Districts
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Hadwen-Bennett, Alex; Sentance, Sue; Morrison, Cecily – International Journal of Computer Science Education in Schools, 2018
Programming can be challenging to learn, and for visually impaired (VI) learners, there are numerous additional barriers to the learning process. Many modern programming environments are inaccessible to VI learners, being difficult or impossible to interface with using a screen reader. A review of the literature has identified a number of…
Descriptors: Programming, Accessibility (for Disabled), Visual Impairments, Auditory Stimuli
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Malik, Sohail Iqbal; Coldwell-Neilson, Jo – Education and Information Technologies, 2018
This study reports on gender differences in an introductory programming (IP) course that uses a new teaching and learning approach based on the ADRI (Approach, Deployment, Result, Improvement) model. The teaching materials of the IP course were redesigned based on the new approach. The grades of the final exam were compared to determine the impact…
Descriptors: Gender Differences, Introductory Courses, Programming, Teaching Methods
Glass, Erin – ProQuest LLC, 2018
This dissertation offers a critical analysis of software practices within the university and the ways they contribute to a broader status quo of software use, development, and imagination. Through analyzing the history of software practices used in the production and circulation of student and scholarly writing, I argue that this overarching…
Descriptors: Computer Software, Computer Uses in Education, Universities, Disadvantaged
Hosseini, Roya – ProQuest LLC, 2018
My dissertation is situated in the field of computer science education research, specifically, the learning and teaching of programming. This is a critical area to be studied, since, primarily, learning to program is difficult, but also, the need for programming knowledge and skills is growing, now more than ever. This research is particularly…
Descriptors: Computer Science Education, Educational Technology, Programming, Skill Development
Flynn, Allen J. – ProQuest LLC, 2018
Here we demonstrate how more highly interoperable computable knowledge enables systems to generate large quantities of evidence-based advice for health. We first provide a thorough analysis of advice. Then, because advice derives from knowledge, we turn our focus to computable, i.e., machine-interpretable, forms for knowledge. We consider how…
Descriptors: Health Promotion, Data Use, Knowledge Management, Integrated Learning Systems
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Fields, Deborah; Vasudevan, Veena; Kafai, Yasmin B. – Interactive Learning Environments, 2015
We highlight ways to support interest-driven creation of digital media in Scratch, a visual-based programming language and community, within a high school programming workshop. We describe a collaborative approach, the programmers' collective, that builds on social models found in do-it-yourself and open source communities, but with scaffolding…
Descriptors: Programming Languages, Programming, High School Students, Cooperative Learning
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Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
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Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
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Green, Donald P.; Groves, Dylan W.; Manda, Constantine – Health Education & Behavior, 2021
A growing body of evidence investigates how entertainment education influences knowledge about HIV, stigma toward those with HIV, and openness to disclosing one's HIV status. The present study shows that in addition to these effects, mass media interventions may influence audiences' policy priorities, such as their demand for local access to…
Descriptors: Radio, Programming (Broadcast), African Languages, Drug Therapy
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