The authors aim to evaluate the effectiveness of ChatGPT in completing engineering coursework and explore faculty and student perceptions. They utilize the DANCE model to understand the impact of disruptive tools like ChatGPT on the learning environment.
This study provides an overview of the current research landscape on the use of multimodal and generative artificial intelligence (AI) in educational contexts, highlighting the predominant focus on text-to-text models and the need for more balanced attention across different AI modalities.
Generative AI is transforming the educational landscape, requiring teachers to evolve from being mere users of technology to becoming collaborators and innovators who leverage AI to enhance teaching and learning.
본 논문은 Generative AI 기술이 교육 환경에 통합됨에 따라 교사의 역할이 변화하고 있으며, 이러한 변화에 효과적으로 대응하기 위해 교사의 인식, 수용, 지식 및 실제 적용 사례를 포괄적으로 이해하는 것이 중요하다고 주장한다.
Students are increasingly using GenAI tools as programming aids, and their acceptance of this practice varies based on their level of study and the type of course, with a greater acceptance in advanced courses where programming is not the primary learning objective.
본 연구는 컴퓨팅 수업 유형별 학생들의 생성형 AI 도구 사용 현황과 시간의 흐름에 따른 인식 변화를 분석하여 교육 현장에서의 생성형 AI 활용 방안을 제시하고자 합니다.
While generative AI tools like ChatGPT can aid novice programmers in completing coding tasks, there is a risk of over-reliance on these tools, potentially hindering the development of essential problem-solving skills and independent learning.
CS1の学生は、プログラミング課題を解決する際にGenerative AIを頻繁に使用しますが、その使用頻度や方法、AIとのインタラクション方法は学生によって異なり、その結果、学習成果や自己効力感にばらつきが生じる可能性があります。
본 연구는 CS1 학생들이 프로그래밍 과제를 수행할 때 Generative AI를 어떻게 사용하고, 이러한 사용 패턴이 학습 효과와 자기 효능감에 어떤 영향을 미치는지 분석합니다.
Generative AI, particularly LLMs, presents a paradigm shift in Intelligent Tutoring Systems (ITS) by enabling dynamic content generation, personalized feedback, and interactive learning experiences, though challenges remain in ensuring pedagogical accuracy, mitigating bias, and maintaining learner engagement.