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Download full textCai, Zhiqiang; Marquart, Cody; Shaffer, David W. – International Educational Data Mining Society, 2022
Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…
Descriptors: Coding, Classification, Artificial Intelligence, Engineering Education
Direct linkReem S. W. Alyahya – International Journal of Language & Communication Disorders, 2025
Background: Assessing spoken discourse during aphasia clinical examination is crucial for diagnostic and rehabilitation purposes. Recent approaches have been developed to quantify content word fluency (CWF) and informativeness of spoken discourse without the need to perform time-consuming transcription and coding. However, the accuracy of these…
Descriptors: Arabic, Aphasia, Language Fluency, Check Lists
Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
J. Michael Rifenburg; Jenn Mallette; Rebecca Nowacek – Composition Forum, 2025
This methods-focused article attends to the mechanics of participant drawing as a data collection tool in qualitative research. Writing studies researchers undertaking qualitative research benefit from a wealth of handbooks on how to design methodologically sound studies. However, despite interest in visual research methods, little guidance is…
Descriptors: Research Design, Research Administration, Qualitative Research, Freehand Drawing
David P. Bunde; John F. Dooley – PRIMUS, 2024
We present a detailed description of a Cryptography and Computer Security course that has been offered at Knox College for the last 15 years. While the course is roughly divided into two sections, Cryptology and Computer Security, our emphasis here is on the Cryptology section. The course puts the cryptologic material into its historical context…
Descriptors: Technology, Coding, Computer Security, Mathematics Education
Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
Abdullahi Yusuf; Amiru Yusuf Muhammad – Journal of Educational Computing Research, 2024
The study investigates the potential of anxiety clusters in predicting programming performance in two distinct coding environments. Participants comprised 83 second-year programming students who were randomly assigned to either a block-based or a text-based group. Anxiety-induced behaviors were assessed using physiological measures (Apple Watch…
Descriptors: Novices, Programming, Anxiety, Coding
Meghan M. Parkinson; Seppe Hermans; David Gijbels; Daniel L. Dinsmore – Computer Science Education, 2024
Background and Context: More data are needed about how young learners identify and fix errors while programming in pairs. Objective: The study will identify discernible patterns in the intersection between debugging processes and the type of regulation used during debugging while children engage in coding to drive further theory and model…
Descriptors: Computer Science Education, Troubleshooting, Cooperative Learning, Coding
Laura Guerrero Puerta; Rocío Lorente García – Qualitative Research Journal, 2024
Purpose: This article explores challenges faced by doctoral candidates using grounded theory (GT) in their theses, focusing on coding, theory development and time constraints. It also examines the impact of doctoral committees on GT dissertations, addressing epistemological clashes and the desire for familiarity over novelty.…
Descriptors: Doctoral Students, Doctoral Dissertations, Grounded Theory, Coding
Noel Purdy; Herbert Scheithauer; Jonathan Harris; Roy A. Willems; Consuelo Mameli; Annalisa Guarini; Antonella Brighi; Damiano Menin; Catherine Culbert; Jayne Hamilton; Trijntje Völlink; Mark Ballentine; Nora Fiedler; Peter K. Smith – International Journal of Developmental Science, 2024
This original paper, based on data from the Erasmus+Blurred Lives Project, presents a new multi-dimensional categorisation model to describe negative online experiences, including forms of cyberbullying, based on a study of internet usage among over N = 2,500 adolescents with lower socio-economic status (SES) backgrounds across five European…
Descriptors: Internet, Computer Mediated Communication, Bullying, Adolescents
Mehmet Ceylan; Durmus Aslan – Education and Information Technologies, 2024
This study was conducted to investigate the effects of learning trajectories-based coding (LTs) and LTs-based program on preschoolers' length, area, volume, and angle measurement skills. A quasi-experimental research design was utilized with a quantitative approach. The study's participants were 47 children between the ages of 55-71 months who…
Descriptors: Learning Trajectories, Coding, Mathematics Skills, Measurement Techniques
Selena Steinberg; Melissa Gresalfi; Lauren Vogelstein; Corey Brady – Journal of Research on Technology in Education, 2024
This paper considers how a curricular design that integrated computer programming and creative movement shaped students' engagement with computing. We draw on data from a camp for middle schoolers, focusing on an activity in which students used the programming environment NetLogo to re-represent their physical choreography. We analyze the extent…
Descriptors: Dance, Programming, Computation, Computer Simulation
Sarah Hensley; Janet Fox; Missy Cummins; Meggan Franks; Marianne Bird; Cindy Wells; JoLynn Miller – Journal of Extension, 2024
Cooperative Extension professionals utilize proven qualitative techniques to collect and analyze information to make data-driven decisions that guide program direction and determine impact. While the process may not always look the same, it is indeed essential to ensure findings are credible and reflective of the data. A codebook is a valuable…
Descriptors: Youth Clubs, Nonprofit Organizations, Extension Education, Data Use
Tetsuo Tanaka; Ryo Horiuchi; Mari Ueda – International Association for Development of the Information Society, 2024
We evaluate the effectiveness of reading aloud a program code in learning programming from a neuroscientific perspective by measuring brain activity using a near-infrared spectroscopy device. The results show that when reading aloud and then reading silently, brain activity increases during reading aloud; a similar trend is observed when the…
Descriptors: Oral Reading, Programming, Coding, Neurosciences
