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Priti Oli – ProQuest LLC, 2024
This dissertation focuses on strategies and techniques to enhance code comprehension skills among students enrolled in introductory computer science courses (CS1 and CS2). We propose a novel tutoring system, "DeepCodeTutor," designed to improve the code comprehension abilities of novices. DeepCodeTutor employs scaffolded self-explanation…
Descriptors: Reading Comprehension, Tutoring, Scaffolding (Teaching Technique), Automation
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Fatima Abu Deeb; Timothy Hickey – Computer Science Education, 2024
Background and Context: Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error. Objective: To…
Descriptors: Reflection, Automation, Grading, Novices
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Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
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Laurence New-Moore; Gusti Agung Ayu Mas Pramitasari – Compare: A Journal of Comparative and International Education, 2024
Following the work of Tamatea and Pramitasari in the Bali Coding Class (2018), we ask if liberal empowerment can sit alongside Bourdieu's social reproduction theory in framing a non-formal education coding class for rural Balinese youth. While a review of critical theory informed literature suggests not, we appropriate the work of Mills to read…
Descriptors: Foreign Countries, Coding, Rural Youth, Nonformal Education
Vonna L. Hemmler; Allison W. Kenney; Susan Dulong Langley; Carolyn M. Callahan; E. Jean Gubbins; Shannon Holder – Grantee Submission, 2022
Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology our qualitative team used to achieve…
Descriptors: Interrater Reliability, Coding, Guides, Data Collection
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Lamprianou, Iasonas – Sociological Methods & Research, 2023
This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…
Descriptors: Interrater Reliability, Coding, Social Networks, Network Analysis
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David Hemer – Australian Mathematics Education Journal, 2023
Whilst there has been significant focus on STEM in Australian education for several years, there has been very little focus on the integration of Digital Technologies (especially coding) with the other STEM disciplines. Similarly, high school mathematics education remains largely a standalone discipline. This paper describes a full year…
Descriptors: Coding, High School Teachers, Mathematics Education, Foreign Countries
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Martina Blecic – Journal of Biological Education, 2024
In this paper I suggest a pragmatic model for the notion of 'information' used in molecular biology in the description of protein synthesis. Discarding any ontological commitments of the term 'information', I propose a view of information based on an analogy with communication. This view could at least supplement the existing information-metaphor…
Descriptors: Genetics, Molecular Biology, Figurative Language, Communication (Thought Transfer)
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Hossein Kermani; Alireza Bayat Makou; Amirali Tafreshi; Amir Mohamad Ghodsi; Ali Atashzar; Ali Nojoumi – International Journal of Social Research Methodology, 2024
Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…
Descriptors: COVID-19, Pandemics, Automation, Foreign Countries
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Ari Krakowski; Eric Greenwald; Natalie Roman; Christina Morales; Suzanna Loper – Journal of Research in Science Teaching, 2024
The role of computation in science is ever-expanding and is enabling scientists to investigate complex phenomena in more powerful ways and tackle previously intractable problems. The growing role of computation has prompted calls to integrate computational thinking (CT) into science instruction in order to more authentically mirror contemporary…
Descriptors: Computation, Thinking Skills, Coding, Science Instruction
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Rosanna Cole – Sociological Methods & Research, 2024
The use of inter-rater reliability (IRR) methods may provide an opportunity to improve the transparency and consistency of qualitative case study data analysis in terms of the rigor of how codes and constructs have been developed from the raw data. Few articles on qualitative research methods in the literature conduct IRR assessments or neglect to…
Descriptors: Interrater Reliability, Error of Measurement, Evaluation Methods, Research Methodology
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Cheung, Kason Ka Ching; Tai, Kevin W. H. – Research in Science & Technological Education, 2023
Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…
Descriptors: Interrater Reliability, Data Analysis, Interviews, Research Methodology
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Seckin-Kapucu, Munise – Journal of Education in Science, Environment and Health, 2023
This study aims to examine the methodological trends and findings in studies on robotic coding in science education published between 2015-2022 comprehensively and holistically. For this purpose, the articles related to the subject were systematically reviewed. In addition, web of Science and SCOPUS databases were scanned for keywords related to…
Descriptors: Robotics, Coding, Programming, Research Methodology
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Even Tzur, Ronen – Childhood Education, 2023
Coding must take its place among the fundamentals of education globally, along with lit­eracy, numeracy, and the sciences. The purpose of teaching stu­dents to code isn't to turn them into the software developers of tomorrow -- though it's a wonderful avenue for doing so -- but rather to give them a basic life skill of creating with tech­nology,…
Descriptors: Coding, Foundations of Education, Skill Development, Educational Benefits
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Tuba Ketenci; Brendan Calandra; Jonathan Cohen; Maggie Renken; Nurjamal Chonoeva – Journal of Research on Technology in Education, 2023
The goal of this study was to examine how two groups of middle school students' self-efficacy, interest, goal orientation, and prior experience related to evidence of their building upon existing ideas and code in digital artifacts they created using MIT's App Inventor, a computational practice that Brennan and Resnick (2012) identified as…
Descriptors: Middle School Students, Coding, Computer Science Education, Self Efficacy
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