Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
- URL: http://arxiv.org/abs/2409.06721v1
- Date: Mon, 26 Aug 2024 18:54:20 GMT
- Title: Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
- Authors: Yukyeong Song, Jinhee Kim, Zifeng Liu, Chenglu Li, Wanli Xing,
- Abstract summary: Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing learning-by-teaching practices in the form of a teachable agent (TA)
Despite the recognized roles and opportunities of TAs, less is known about how GenAI could create synergy or introduce challenges in TAs.
This study explored middle school students perceived roles, benefits, and challenges of GenAI-powered TAs in an authentic mathematics classroom.
- Score: 2.5748316361772963
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing learning-by-teaching practices in the form of a teachable agent (TA). Despite the recognized roles and opportunities of TAs, less is known about how GenAI could create synergy or introduce challenges in TAs and how students perceived the application of GenAI in TAs. This study explored middle school students perceived roles, benefits, and challenges of GenAI-powered TAs in an authentic mathematics classroom. Through classroom observation, focus-group interviews, and open-ended surveys of 108 sixth-grade students, we found that students expected the GenAI-powered TA to serve as a learning companion, facilitator, and collaborative problem-solver. Students also expressed the benefits and challenges of GenAI-powered TAs. This study provides implications for the design of educational AI and AI-assisted instruction.
Related papers
- BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums [0.0]
This paper describes a practical, scalable platform that seamlessly integrates Generative AI (GenAI) with online educational forums.
The platform empowers instructional staff to efficiently manage, refine, and approve responses by facilitating interaction between student posts and a Large Language Model (LLM)
arXiv Detail & Related papers (2024-09-20T04:00:30Z) - Model-based Maintenance and Evolution with GenAI: A Look into the Future [47.93555901495955]
We argue that Generative Artificial Intelligence (GenAI) can be used as a means to address the limitations of Model-Based Engineering (MBM&E)
We propose that GenAI can be used in MBM&E for: reducing engineers' learning curve, maximizing efficiency with recommendations, or serving as a reasoning tool to understand domain problems.
arXiv Detail & Related papers (2024-07-09T23:13:26Z) - The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment [0.0]
The rapid adoption of Generative Artificial Intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices, and student learning.
This paper presents the findings of a pilot study conducted at British University Vietnam (BUV) exploring the implementation of the Artificial Intelligence Assessment Scale (AIAS)
The AIAS consists of five levels, ranging from 'No AI' to 'Full AI', enabling educators to design assessments that focus on areas requiring human input and critical thinking.
arXiv Detail & Related papers (2024-03-15T08:00:02Z) - Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
We shed light on the intersectional studies of generative AI and adaptive learning.
We argue that this union will contribute significantly to the development of the next-stage learning format in education.
arXiv Detail & Related papers (2024-02-02T23:54:51Z) - The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment [0.0]
We outline a practical, simple, and sufficiently comprehensive tool to allow for the integration of GenAI tools into educational assessment.
The AI Assessment Scale (AIAS) empowers educators to select the appropriate level of GenAI usage in assessments.
By adopting a practical, flexible approach, the AIAS can form a much-needed starting point to address the current uncertainty and anxiety regarding GenAI in education.
arXiv Detail & Related papers (2023-12-12T09:08:36Z) - Identifying and Mitigating the Security Risks of Generative AI [179.2384121957896]
This paper reports the findings of a workshop held at Google on the dual-use dilemma posed by GenAI.
GenAI can be used just as well by attackers to generate new attacks and increase the velocity and efficacy of existing attacks.
We discuss short-term and long-term goals for the community on this topic.
arXiv Detail & Related papers (2023-08-28T18:51:09Z) - Innovating Computer Programming Pedagogy: The AI-Lab Framework for
Generative AI Adoption [0.0]
We introduce "AI-Lab," a framework for guiding students in effectively leveraging GenAI within core programming courses.
By identifying and rectifying GenAI's errors, students enrich their learning process.
For educators, AI-Lab provides mechanisms to explore students' perceptions of GenAI's role in their learning experience.
arXiv Detail & Related papers (2023-08-23T17:20:37Z) - Students' Voices on Generative AI: Perceptions, Benefits, and Challenges
in Higher Education [2.0711789781518752]
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education.
Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities.
Concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed.
arXiv Detail & Related papers (2023-04-29T15:53:38Z) - An Experience Report of Executive-Level Artificial Intelligence
Education in the United Arab Emirates [53.04281982845422]
We present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE)
Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes.
arXiv Detail & Related papers (2022-02-02T20:59:53Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.