arXiv AI

A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding

arXiv:2607. 05406v1 Announce Type: cross Abstract: Large language models generate code from natural language prompts, enabling "vibe coding," which allows non-programmers to develop computational solutions.

arXiv AI
6d ago

Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum

The article examines how three elementary teachers implemented a conversational AI‑based curriculum using the ToyTalk platform during a three‑week summer camp. Over 13 instructional days, teachers employed adaptive practices—repair, differentiation, translation, and balancing—to navigate tensions among technology, learners, and instruction. Their understanding of AI and instructional roles evolved throughout the camp, leading to design implications for deploying conversational AI in elementary classrooms.

By Fasika Melese, Ruiyang Wu, Xinyue Cui, Joanna Perkins, Xiaoyi Tian, Tiffany Barnes, Shiyan Jiang
arXiv AI
Sep 11

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption

The study evaluates Vibe Coding, an AI‑led conversational programming paradigm that lets developers generate software via natural‑language interaction with large language models. In a mixed‑methods experiment with 30 participants, Vibe Coding improved development efficiency—reducing task completion time by 27% versus traditional coding and 12% versus AI‑assisted coding—while also yielding a good usability score (SUS = 71.4) and moderate cognitive workload (NASA‑TLX = 55.5). However, the gains came with trade‑offs: lower maintainability indices, higher security vulnerabilities, and themes of trust calibration, loss of control, and prompt‑engineering strategy emerged, leading the authors to propose a three‑pillar framework for responsible adoption.

By Sales G. Aribe Jr., Louie Jay S. Labastida
arXiv AI
Aug 19

What If AI Carried Her Imagination? Black Girls as Creators in an AI Storytelling Weekend Program

This paper reports on a seven‑weekend AI storytelling program for Black girls aged 10‑12 that blends Afrofuturism and Black feminist thought with AI‑enabled counter‑storytelling. Participants brainstormed AI topics, crafted characters and plots, and presented collaborative stories, developing core AI literacies such as prompt engineering, bias critique, and data‑privacy awareness. The study found that the girls produced Afrofuturist narratives grounded in their identities and everyday experiences, demonstrating the program’s effectiveness in engaging them in computer science education.

By Chun Li, Lauren Brown, Hubert Asare, Shawna Patterson, Dennis Henderson, Ericka Roland, tara Nkrumah, Angela E. B. Stewart
arXiv AI
Aug 7

Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI-

arXiv:2608. 05545v1 Announce Type: cross Abstract: Generative AI used as a capable servant has greatly accelerated intellectual work, but it also risks eroding human epistemic agency by encouraging uncritical acceptance of AI-generated reasoning.

By Riichiro Mizoguchi, Tomoki Aburatani, Kento Koike, Machi Shimmei
arXiv AI
Aug 10

Curriculum as Code: An AI-Assisted Architecture for Instructional Design in STEM Education

arXiv:2608. 07364v1 Announce Type: new Abstract: Contribution: This paper presents a six-phase AI-assisted instructional design architecture based on the Curriculum as Code paradigm, integrating Generative AI with LaTeX and Python to automate the creation of reproducible, visually consistent, and technically precise materials for STEM education.

By Henrique Mohallem Paiva