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The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Project Overview

The document examines the integration of Generative AI (GenAI) tools into education, particularly through the lens of the newly developed English for Academic Purposes Assessment Scale (EAP-AIAS). This framework is designed to enhance assessment practices in EAP contexts, presenting both the potential benefits and challenges of employing GenAI. It emphasizes the importance of ethical considerations and maintaining academic integrity while fostering language development. The EAP-AIAS framework delineates five levels of GenAI usage in academic tasks, aiming to empower educators by providing structured guidance on effectively incorporating technology into teaching. It ultimately seeks to enhance student learning experiences by balancing technological advancements with the development of essential academic skills, ensuring that the use of GenAI supports rather than undermines educational objectives. Through this framework, the document advocates for a thoughtful and responsible approach to leveraging AI in educational settings.

Key Applications

AI-assisted feedback and task completion for academic writing

Context: Contexts include English for Academic Purposes (EAP) instruction for international students, first-year undergraduate students in an in-sessional English for Specific Academic Purposes program, and postgraduate students focusing on academic writing and research proposals.

Implementation: Utilizing GenAI tools for generating discipline-specific reading materials, providing feedback on writing, generating outlines, and facilitating critical evaluation of AI-generated content. Students engage with AI tools to produce drafts or outlines, analyze suggested revisions, and justify changes made based on AI feedback.

Outcomes: Enhances vocabulary acquisition, genre familiarity, command of discipline-specific language, critical thinking, and understanding of AI's role in academic contexts. Promotes ethical engagement with AI tools while maintaining academic integrity.

Challenges: Potential for academic dishonesty and over-reliance on AI suggestions, leading to diminished independent language development. Need for clear ethical guidelines on AI usage and ensuring final submissions retain originality and integrity.

Implementation Barriers

Ethical

Complexities of academic integrity and potential misuse of GenAI tools by students.

Proposed Solutions: Developing clear institutional policies on acceptable AI use aligned with educational objectives.

Access

Disparities in access to technology and premium AI tools among students.

Proposed Solutions: Establishing support structures and workshops on ethical AI use to ensure equitable access.

Training

The need for instructors to integrate GenAI tools into their practices effectively.

Proposed Solutions: Investing in comprehensive professional development programs for EAP instructors.

Assessment Validity

Challenges in accurately assessing students' skills in an AI-assisted environment.

Proposed Solutions: Revising traditional assessment methods to include diverse formats that critically engage with AI content.

Project Team

Jasper Roe

Researcher

Mike Perkins

Researcher

Yulia Tregubova

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Jasper Roe, Mike Perkins, Yulia Tregubova

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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