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We are pleased to introduce an AI-supported academic reading workbook, a practical resource designed to help international students develop strong, independent academic reading skills essential for university success.
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The workbook provides a clear, structured skills pathway, moving from sentence-level understanding to paragraph and text analysis. Using neutral academic themes focused on education in the digital age, students can concentrate on how academic texts work rather than what they already know.
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This resource directly complements the AI-supported academic writing workbook (here) by developing the reading skills that underpin effective academic writing. Students learn to identify main ideas, supporting details, reference, cohesion, and stance; skills that are critical for reading journal articles and assessment tasks.
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AI tools are integrated in a carefully controlled and transparent way to support checking, clarification and reflection rather than replace reading or interpretation. This ensures students remain cognitively engaged, build genuine academic judgement and develop confidence in reading independently, all while maintaining academic integrity.
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Ideal for EAP, foundation, pre-sessional and undergraduate support programmes.
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FREE WORKSHEET: LESSON 4: Recognising writer stance and hedging
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The AEUK Team
Newsletter #178
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What is an AI-supported academic reading workbook?
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This AI-supported academic reading workbook for international university students focuses on strengthening reading skills at paragraph level across a range of academic texts on digital learning, helping learners interpret meaning, structure and writer intention without relying on AI to generate content.
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Booklet Contents
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Digital learning in higher education.
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Digital learning tasks and activities.
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Understanding supporting detail.
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AI-powered personalised learning.
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Distinguishing between key and minor information.
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Benefits and limitations of AI in education.
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Recognising writer stance and hedging.
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Digital learning platforms and course design.
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Understanding text organisation.
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Student engagement in online learning.
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Interpreting reference and cohesion.
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Automated assessment in higher education.
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Interpreting description and process.
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Ethical and practical challenges of digital education.
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Inferring meaning and writer intention.
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Impact of digital technology on learning outcomes.
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Evaluating scope and limitation.
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Digital technology and the future of higher education.
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Integrated critical reading and AI reflection.
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ANSWER KEY |
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Examples of how AI is used in the classroom
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Task 1: Noticing writer’s stance
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Read the paragraph below. Underline words or phrases that show the writer’s stance towards AI in education and decide whether the overall stance is positive, cautious or critical. Write your answer in the following box.
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AI tools are increasingly used in higher education to support teaching and learning. These tools may enhance efficiency by providing faster feedback and personalised learning pathways. However, concerns have been raised about data privacy and the potential over-reliance on automated systems. As a result, many institutions appear to be adopting AI cautiously rather than fully integrating it into all aspects of education.
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Task 2: Identifying stance and hedging
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Look again at the paragraph in Task 1 and answer the questions below:
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Which words or phrases reduce the strength of the claims?
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Which sentence introduces a limitation or concern?
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Why do you think the writer avoids strong or absolute language?
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Task 3: AI-supported stance and hedging check
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Now use an AI tool to support your learning.
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Step 1: Copy reading text 1 into your chosen AI tool and copy this prompt exactly as it is written:
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Step 2: Compare the AI’s response with your answers by completing these questions.
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Did the AI identify the same stance as you?
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Did it highlight the same hedging expressions?
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Do you agree with the AI’s interpretation? Why or why not?
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Task 4: Independent transfer
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Read text 2 below. Decide whether the writer’s stance is positive, cautious, or critical. Underline any words or phrases that show hedging.
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⚠ Do NOT use an AI tool for this task.
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AI-driven study support tools are increasingly used in higher education to guide independent learning. These tools can be understood to facilitate the recommendation of resources and study strategies based on learner behaviour, helping students focus on areas where additional support is likely to be beneficial. When integrated with clear guidance and thoughtful course design, automated study support has the potential to encourage more targeted engagement with course content and is expected to contribute to the development of students’ ability to manage their own learning effectively.
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Step 1: Check your own work
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Read your answers from task 4 and tick (✓) the statements that are true.
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I identified the writer’s overall stance accurately.
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I recognised hedging language rather than strong claims.
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I recognised both positive points and limitations expressed by the writer.
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Step 2: Use an AI tool to support your learning
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Copy reading text 2 and the following prompt into the AI tool.
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Apply the AI strategies you learned in this lesson to check your answers.
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How did using AI help you confirm or question your understanding of writer stance and hedging in this lesson? Give ONE specific example.
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Task 7: Optional extension task
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Read the text below and identify the stance and hedging language. For each choice, write a brief rationale explaining how the hedging language affects the strength or certainty of the writer’s position.
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The use of AI-generated feedback on short academic tasks is increasingly discussed within higher education contexts. Although this approach is often promoted as a way of providing timely responses to student work, particularly in large courses where individual feedback is limited, its educational value remains contested. AI systems are generally limited to identifying surface-level features such as recurring language errors or incomplete responses, which offers only partial support during early stages of task completion. As a result, AI feedback is more accurately viewed as a constrained supplement to human input rather than a meaningful alternative.
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Moreover, AI-generated comments are typically based on pattern recognition and do not consistently account for task purpose or disciplinary expectations. There is also a growing concern that students may rely on automated feedback without critically evaluating its relevance or accuracy. Taken together, these limitations indicate that AI feedback should be treated with caution and carefully embedded within a broader learning framework. Even when used selectively and with guidance, its contribution to student learning appears uneven and is likely to depend more on student interpretation than on the capability of the technology itself.
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Apply the AI strategies you learned in this lesson to check your answers.
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Downloads
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FREE LESSON: Recognising writer stance and hedging [new 2026]
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Lesson 4 focuses on recognising a writer’s stance in academic texts, including whether a position is positive, cautious, or critical. Students identify common hedging language and learn to distinguish between strong claims and cautious academic claims using short digital-learning texts, supporting more critical reading in later lessons. Level ***** [B1/B2/C1]
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AI-supported Reading 10-Lesson Workbook [new 2026]
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The AI-supported academic reading workbook helps international students develop core academic reading skills for university study. Lessons move from sentence-level understanding to paragraph and text analysis, using neutral academic themes linked to digital education. Students practise identifying main ideas, supporting details, reference, cohesion and stance. AI tools are used in a controlled way to support checking and reflection rather than replace reading, supporting accurate comprehension, critical reading and academic judgement. LESSON EXAMPLE Level ***** [B1/B2/C1] TEACHER MEMBERSHIP / INSTITUTIONAL MEMBERSHIP
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AI in Higher Education Research Article
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