Artificial Intelligence (AI) is transforming education in profound ways. It is increasingly recognized as a catalyst for transforming teaching, learning, and academic practices. Though some view it with skepticism, it has emerged as a creative ally for writers, educators, and learners alike. The challenge is no longer whether to use AI, but how to integrate it thoughtfully to support authentic learning. Understanding not only what AI can do but also how it influences pedagogy, equity, and the broader learning ecosystem is critical.
When paired with Digital Multimodal Composition (DMC), AI tools become powerful partners in developing literacy, creativity, and critical thinking. Rather than replacing human creativity, they amplify it. Supporting students in tackling the challenges they may encounter during the DMC process is pivotal to helping them succeed in producing quality DMC outcomes.
From Threat to Partnership
Many educators fear that AI will cause problems in terms of students’ ability to think independently. However, when guided by pedagogy, AI can strengthen language learning and composition skills. AI writing tools can:
- Offer instant feedback on grammar and clarity.
- Support language learners in refining vocabulary and syntax.
- Generate idea prompts that stimulate creativity.
- Assist teachers with differentiation to meet the diverse needs of learners.
When positioned as a creative partner, AI enhances human expression rather than diminishing it.
Enhancing Multimodal Composition
It is important not to think of DMC in opposition to academic writing. Academic writing can be realized through traditional print text as well as digital text, which may or may not be multimodal, just as nonacademic writing can be carried out through traditional, print-based text or digitally, and may or may not be multimodal. By embedding AI within multimodal learning environments, educators model digital fluency and critical awareness, both of which are essential for 21st-century success. The future of writing is hybrid—where human insight meets machine intelligence. Embracing AI does not mean abandoning tradition; it means expanding literacy to reflect how people now create and communicate.
By combining AI tools with DMC, classrooms can become spaces of exploration, critical thought, and collective creativity. Many adolescents who begrudgingly write structured essays on assigned topics for their teachers go home and devote hours to creating multimodality rich products that are shared with a receptive and global audience.
Ethical Integration
First and foremost, educational stakeholders must be transparent about the use of AI technologies in educational settings, including the purposes for which AI is being used, the data sources and algorithms employed, and the potential impacts on students’ learning experiences and outcomes. Students, teachers, and parents must all be on the same page as it pertains to why and how AI tools will be used in classroom settings.
Many teachers fear AI due to its ability to minimize students’ authenticity. This is one reason why teachers must model how to use AI ethically so that students understand the parameters in which it should be used. With its growing popularity, there is a need to allow students to explore it with proper guidance, so they can learn to use AI tools responsibly. Areas of guidance include:
- Questioning how AI generates information
- Recognizing its limitations
- Using AI outputs as starting points, not as final products
By prioritizing ethical principles such as fairness, transparency, accountability, and inclusivity, educators, policymakers, and technology developers can ensure that AI technologies are deployed responsibly and ethically to support the diverse needs and aspirations of all learners. When students see AI as a collaborative partner and understand how to use it responsibly, they will experiment more, revise willingly, and focus on content rather than mechanical errors. AI is not the end of writing- it’s the beginning of a new era of literacy.
References:
Jiang, L., & Lai, C. (2025). How Did the Generative Artificial Intelligence‐Assisted Digital Multimodal Composing Process Facilitate the Production of Quality Digital Multimodal Compositions: Toward a Process‐Genre Integrated Model. TESOL Quarterly.
Sowell, J. (2022). Digital Multimodal Composition in the Second-Language Classroom. In English Teaching Forum (Vol. 60, No. 1, pp. 15-25). US Department of State. Bureau of Educational and Cultural Affairs, Office of English Language Programs, SA-5, 2200 C Street NW 4th Floor, Washington, DC 20037.
John Jr, G. A. (2025). AI in Education: A Systematic Literature Review of Emerging Trends, Benefits, and Challenges. In Seminars in Medical Writing and Education (Vol. 4, No. 795, p. 795). AG Editor (Argentina).
Smith, B. E. (2014). Beyond words: A review of research on adolescents and multimodal composition. Exploring multimodal composition and digital writing, 1-19.
Eden, C. A., Chisom, O. N., & Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006-013.