Summary Scratch Copilot Evaluation AI-Assisted Creative Coding stefania11.github.io
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This study investigates the use of large language models to support families in creative coding with Scratch by aiding in program explanations, debugging, and ideation.
Slides
Slide Presentation (7 slides)
Key Points
- Large Language Models (LLMs) have potential in assisting families with creative coding using Scratch.
- LLMs can help families comprehend game code, debug programs, and generate new ideas for future projects.
- Collaborative creative coding, supported by AI, engages children and parents in learning and creating.
- Scratch Copilot's AI-assisted creative coding tool provides accurate explanations and offers creative suggestions for modifying code.
- LLMs can enhance creative coding experiences by guiding learners through their creative process.
Summaries
22 word summary
This study explores how large language models can assist families with creative coding using Scratch, focusing on program explanations, debugging, and ideation.
38 word summary
This study examines the potential of large language models (LLMs) in assisting families with creative coding using Scratch. The research aims to explore the applicability of LLMs in generating Scratch program explanations, debugging, and ideation. Collaborative creative coding
414 word summary
This study explores the potential of large language models (LLMs) in assisting families with creative coding using Scratch. Three evaluation scenarios were devised to determine if LLMs could help families comprehend game code, debug programs, and generate new ideas for future projects
This summary highlights the potential of Large Language Models (LLMs) in coding education, specifically for middle school families engaged in creative coding. The research aims to explore the applicability of LLMs in generating Scratch program explanations, debugging, and ideation
Creative coding, which takes a collaborative approach to programming, has benefits beyond motivation, but it does not necessarily develop computational thinking and problem-solving skills. Collaborative creative coding, supported by AI, has been successful in engaging children and parents in learning and creating
This excerpt discusses the use of advanced tools in computing education to promote inclusivity and effectiveness. The study curated 22 Scratch projects for evaluation, focusing on code explanation, code debugging, and code ideation. OpenAI's GPT-4 model was
The evaluation of Scratch Copilot's AI-assisted creative coding showed that the model provided accurate explanations, although the tone of language was sometimes overly enthusiastic. The model demonstrated its ability to break down complex games and computational concepts, using metaphors to make the
An evaluation of the Scratch Copilot AI-assisted creative coding tool found that it was able to offer creative suggestions for modifying code, such as changing sprite appearance and adding user input for interactive features. The tool also suggested transforming projects into games by adding collect
This study examines the potential of large language models (LLMs) in enhancing creative coding experiences for families using Scratch. The goal is for the LLMs to guide learners through their creative process rather than providing direct answers. The study suggests several design recommendations
This excerpt is a list of references cited in a document titled "Scratch Copilot Evaluation AI-Assisted Creative Coding." The references include various research papers and studies related to topics such as design, programming, AI literacy, and coding education. Some of
The document contains a list of references to various research papers and studies related to topics such as child speech recognition in human-robot interaction, culturally responsive computing in education, enhancing programming error messages using large language models, designing conversational agents for children, family
This summary provides a list of references cited in the document "Scratch Copilot Evaluation AI-Assisted Creative Coding" along with their publication details. The references cover a range of topics related to coding education, including software clones in Scratch projects, family creative