Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy Education

Title of the Paper

Teachers, Parents, and Students’ Perspectives on Integrating Generative AI into Elementary Literacy Education

Paper Information

• Topic Area: Integration of Artificial Intelligence in elementary education, with a focus on Generative AI (GAI)
• Keywords: Generative AI, Artificial Intelligence, K-12 Education, Literacy Education, Generative Text Models, ChatGPT, Teacher Perspectives, Parent Perspectives, Student Perspectives, Human-Computer Interaction

Research Background and Issues

• Identified Problems or Challenges:

  1. How to effectively integrate Generative AI (GAI) as a tool for writing education in elementary schools.
  2. Teachers’, students’, and parents’ attitudes and values toward GAI have not been systematically studied, especially regarding GAI’s potential and limitations in generating writing content and providing feedback.
  3. Whether children can maintain "autonomy" in the creative process and ensure academic integrity when using these technologies remains a core issue of discussion.

• Significance of the Issues:

  • Integrating Generative AI could transform educational models by providing personalized learning resources and instant feedback to help students improve their writing skills.
  • However, the openness of GAI, its potential biases, and the "hallucinated" content it generates may pose threats to student learning and educational equity.

• Research Motivation and Related Work:

  • Existing educational technologies, such as MOOCs and Intelligent Tutoring Systems (ITS), have potential scalability but limited effectiveness in real-world scenarios.
  • Academic research has gradually shifted from AI applications in adult contexts to the field of children’s education, but there is still a lack of in-depth understanding of Generative AI applications in elementary education.

Solution

• Research Methods:

  1. Workshop Design: Conducted workshops on Generative AI tools (ChatGPT and Stable Diffusion) with 12 family pairs (parent-child, children aged 8-12), focusing on observing students’ strategies and interests.
  2. Teacher Interviews: Conducted semi-structured interviews with 16 elementary school teachers to understand the needs for teaching aids in writing instruction, as well as their expectations and concerns about Generative AI.
  3. Data Analysis: Employed qualitative research methods with open coding, analyzing themes from observation notes and interview transcripts.

• Innovations:

  • Conducted a comprehensive study of the effectiveness and limitations of Generative AI in elementary writing education from the perspectives of teachers, students, and parents.
  • Proposed the integration of "student autonomy and creative ownership" with teacher guidance in the design of AI learning tools, offering design suggestions for future educational AI platforms.

• Implementation Steps and Technology Used:

  • Utilized automated transcription tools (Otter.ai) to process data and Atlas.ti software to code and analyze interview and observation datasets.
  • Investigated participants’ perceptions of AI-assisted writing instruction, major obstacles, and needs for solutions.

Research Findings

• Specific Findings:

  • Advantages:
    1. GAI can help teachers quickly generate scaffolding texts tailored to students’ needs and optimize them based on individual abilities.
    2. Students can use AI to receive timely, personalized feedback, enhancing creativity and quality in writing.
    3. Generative AI facilitates the introduction of multicultural elements, supporting customized writing and language translation learning.
  • Challenges and Limitations:
    1. Children’s use of GAI may lead to issues of academic originality, and the authenticity and ownership of GAI-generated content are difficult to define.
    2. Students’ reliance on generated content may suppress their independence and initiative in the learning process.
    3. System-generated biased or random information could negatively impact the educational environment.

• Experimental and Evaluation Results:

  • Different groups exhibited diverse and even conflicting perceptions of GAI (teachers viewed it as a "digital literacy development tool," parents worried about "screen time," while students were more enthusiastic about its creative assistance).
  • Some students directly copied AI-generated outputs during the workshops, lacking active reflection and deep processing of writing content.

• Future Directions:

  • Explore more effective evaluation systems, such as focusing on students’ learning processes rather than just output results.
  • Promote student independence by introducing teacher supervision systems or clearly defining the roles of student creation and AI supplementation.
  • Enhance the cultural inclusivity and value orientation of GAI platforms in education.

Design Recommendations

1. Promote Students’ Creative Autonomy:
   • Design the generative process to help students clearly understand AI’s role in projects (e.g., as a mentor or collaborator, rather than a substitute executor) and maintain interactivity with students.
2. Teacher-Led Flexible Control Panels:
   • Design "teacher intervention modules" for GAI platforms, allowing teachers to set interaction scenarios and review system-generated content through a visual interface.
3. Strengthen Creative "Ownership" and Evaluation Mechanisms:
   • Record and distinguish between student-created and AI-generated content, using intelligent comparison technologies to prevent plagiarism and ensure the authenticity of learning outcomes.

Conclusion

This paper, through in-depth research on the perspectives of three core stakeholders in elementary education (teachers, parents, and students), demonstrates the potential and challenges of integrating Generative AI into writing education. The study emphasizes that the application of AI systems in educational contexts requires careful design, balancing technological innovation with educational ethics. It also points to future directions for the responsible adoption of GAI tools in K-12 education.