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Navigating cognitive dissonance: master’s students’ experiences with ChatGPT in dissertation writing
Theoretical sampling is a data collection method in qualitative research ... NVivo14 for coding analysis. First, 21 interview transcripts (3/4 of the total) were randomly selected from the 28 ...
Objectives This qualitative study aims to ... All six researchers started line-by-line open coding independently to ensure that the analysis was holistic and inductive. The researchers then met for ...
During the research process, participant observation should specify and may focus on, single aspects such as special breathlessness situations or the team structure. The qualitative ... open, axial ...
Purpose: This article aims to explore how the grounded theory (GT) was used in empirical research in the area of ... refer to the initial coding as a microanalysis, which includes open and axial ...
It was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that closely mirrors human style and PR preferences, adheres precisely to ...
and understand how to implement new APIs using real code examples. There’s a risk that ChatGPT deep research hallucinates, of course — no AI model in existence doesn’t confidently make ...
The UK-based lab today unveiled its latest advancement: AlphaEvolve, an AI coding agent that makes large ... was put to the test on over 50 open problems in maths, from combinatorics to number ...
Sam Altman and other company leaders hyped the announcement yesterday on X by teasing it as their next “low-key research preview,” which is how ChatGPT itself was first described.
OpenAI announced on Friday it’s launching a research preview of Codex ... the company’s recently launched open source coding agent that runs in your terminal, with a version of its o4-mini ...
It turns out you can now connect GitHub repos to Deep Research in ... how it will do as a coding helper. For example, My Private Site runs inside of WordPress, itself an open-source project ...
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