Yu-Ting Shih Academic Site

Research Page

Duration Effects of Introducing Generative AI into a Data Science Course: Comparing the Learning Outcomes of Non-CS Undergraduates Across Different Weeks of Intervention

This article centers on Duration Effects of Introducing Generative AI into a Data Science Course: Comparing the Learning Outcomes of Non-CS Undergraduates Across Different Weeks of Intervention and highlights the study background, method,…

Author: Yu-Ting Shih 2 pages
Back to Works Page View APA List

Publication Info

Source file: 生成式AI於資料科學課程的導入時長效應比較不同介入週數對非資訊背景大學生學習成效之影響_施育廷.pdf

This page is generated from the shared research-page structure and uses the site-wide template.

Overview

This article centers on Duration Effects of Introducing Generative AI into a Data Science Course: Comparing the Learning Outcomes of Non-CS Undergraduates Across Different Weeks of Intervention and highlights the study background, method, findings, and practical implications.

Key Points

  • Background: This article centers on Duration Effects of Introducing Generative AI into a Data Science Course: Comparing the Learning Outcomes of Non-CS Undergraduates Across Different Weeks of Intervention and highlights the study background, method, findings, and practical implications.
  • Method: The study presents a clear research design that can support further work in educational technology and AI-supported learning.
  • Findings: The article highlights the value and applicability of AI-related approaches in educational and learning contexts.
  • Significance: This article can serve as a reference point for future research design, instructional practice, or system development.

Summary

This article centers on Duration Effects of Introducing Generative AI into a Data Science Course: Comparing the Learning Outcomes of Non-CS Undergraduates Across Different Weeks of Intervention and highlights the study background, method, findings, and practical implications.