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Christopher Hundhausen; Phill Conrad; Olusola Adesope; Ahsun Tariq – ACM Transactions on Computing Education, 2023
Assessing team software development projects is notoriously difficult and typically based on subjective metrics. To help make assessments more rigorous, we conducted an empirical study to explore relationships between subjective metrics based on peer and instructor assessments, and objective metrics based on GitHub and chat data. We studied 23…
Descriptors: Teamwork, Computer Software, Undergraduate Students, Computer Science Education
Yuening Zhang; Dylan Yu – Issues in Science and Technology Librarianship, 2023
Journal coverage is an important factor to consider when evaluating a database. In this study, we counted the number of articles (including early access articles) in newly-launched journals (2018-2022) from two major association publishers in engineering and computer science: the Institute of Electrical and Electronics Engineers (IEEE) and the…
Descriptors: Journal Articles, Engineering, Computer Science, Professional Associations
Caines Turnipseed, Melissa Arlette – ProQuest LLC, 2023
The computer science industry and college degree programs for computer science throughout the country suffer from the "pipeline shrinkage problem", which describes the declining number of qualified people in various industries (Kordaki & Berdousis, 2014). For computer science, the specific population decline relates to a shortage of…
Descriptors: High School Students, Females, Computer Science Education, Career Pathways
Barua, Antara Mahanta; Bharali, Sruti Sruba – Asian Association of Open Universities Journal, 2023
Purpose: The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions.…
Descriptors: Gamification, Electronic Learning, Computer Science Education, College Students
Tapprich, William E.; Reichart, Letitia; Simon, Dawn M.; Duncan, Garry; McClung, William; Grandgenett, Neal; Pauley, Mark A. – Biochemistry and Molecular Biology Education, 2021
The lack of an instructional definition of bioinformatics delays its effective integration into biology coursework. Using an iterative process, our team of biologists, a mathematician/computer scientist, and a bioinformatician together with an educational evaluation and assessment specialist, developed an instructional definition of the…
Descriptors: Scoring Rubrics, Definitions, Genetics, Biology
Ghosh, Biswadip – Journal of Information Systems Education, 2021
Established retailers are facing growing competitive pressure from pure internet startups that are leveraging eCommerce marketplaces hosted by Amazon, Facebook, Alibaba, eBay, etc. Some traditional retailers, such as Best Buy, Macy's, and Walmart, have created an effective competitive response to these pure eCommerce startups by adapting their…
Descriptors: Retailing, Internet, Information Technology, Organizational Change
Fields, Deborah A.; Kafai, Yasmin B.; Morales-Navarro, Luis; Walker, Justice T. – British Journal of Educational Technology, 2021
Much attention in constructionism has focused on designing tools and activities that support learners in designing fully finished and functional applications and artefacts to be shared with others. But helping students learn to debug their applications often takes on a surprisingly more instructionist stance by giving them checklists, teaching…
Descriptors: High School Students, Design, Programming, Textiles Instruction
Yilmaz Ince, Ebru – International Journal of Technology in Teaching and Learning, 2021
This survey study examines students' perceptions on learning programming with CodinGame. Participants included 71 students at Department of Computer Programming Isparta University of Applied Sciences in Turkey. Both quantitative and qualitative research methods were used. In order to collect quantitative data, the questionnaire method was used,…
Descriptors: Student Attitudes, Programming, Game Based Learning, College Students
Mangaroska, Katerina; Martinez-Maldonado, Roberto; Vesin, Boban; Gaševic, Dragan – Journal of Computer Assisted Learning, 2021
Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current focus aimed at supporting researchers to model learner behaviours, rather than directly supporting learners. Moreover, many MLA…
Descriptors: Computer Science Education, Student Attitudes, Learning Modalities, Learning Analytics
Geris, Ali; Özdener, Nesrin – Acta Educationis Generalis, 2021
Introduction: The purpose of this paper is to examine the relationship between the digital citizenship levels of information and communication technology teacher candidates and their user behaviours and habits in the digital world. The experimental work presented here provides one of the first investigations into a deeper understanding of…
Descriptors: Citizenship, Preservice Teachers, Computer Use, Foreign Countries
Sychev, Oleg; Penskoy, Nikita; Anikin, Anton; Denisov, Mikhail; Prokudin, Artem – Education Sciences, 2021
Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to…
Descriptors: Intelligent Tutoring Systems, Comprehension, Undergraduate Students, Computer Science Education
Gao, Zhikai; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2021
As Computer Science has increased in popularity so too have class sizes and demands on faculty to provide support. It is therefore more important than ever for us to identify new ways to triage student questions, identify common problems, target students who need the most help, and better manage instructors' time. By analyzing interaction data…
Descriptors: Automation, Classification, Help Seeking, Computer Science Education
Höppner, Frank – International Educational Data Mining Society, 2021
Various similarity measures for source code have been proposed, many rely on edit- or tree-distance. To support a lecturer in quickly assessing live or online exercises with respect to "approaches taken by the students," we compare source code on a more abstract, semantic level. Even if novice student's solutions follow the same idea,…
Descriptors: Coding, Classification, Programming, Computer Science Education
Nesen, Yuri; Fowler, Brian; Vegas, Emiliana – Center for Universal Education at The Brookings Institution, 2021
Computer science (CS) education helps students acquire skills such as computational thinking, problem-solving, and collaboration. Since these skills take preeminence in the rapidly changing 21st century, CS education promises to significantly enhance student preparedness for the future of work and active citizenship. Based on prior analyses and…
Descriptors: Program Implementation, Computer Science Education, Foreign Countries, Curriculum Development
Ménager, David H. – ProQuest LLC, 2021
This dissertation presents a novel theory of event memory along with an associated computational model that embodies the claims of view which is integrated within a cognitive architecture. Event memory is a general-purpose storage for personal past experience. Literature on event memory reveals that people can remember events by both the…
Descriptors: Artificial Intelligence, Computer Software, Models, Information Processing