Preparing Multilingual Educators for GenAI Integration: Moving Beyond Tool Use Toward Professional Judgment

Mariam H. Alothman, The George Washington University, Washington D.C., US
Natalie B. Milman, The George Washington University, Washington D.C., US

Introduction

Generative artificial intelligence (GenAI) is a technology that educators can use for many different purposes. They can create prompts in GenAI tools like ChatGPT, Microsoft Copilot, and Gemini to develop lesson plans, produce teaching materials, give feedback on student writing, simplify texts, explain concepts at different and enable communication in multiple languages, including translation to a student’s native language. For educators working in multilingual settings, GenAI tools offer exciting potential to enhance and tailor language instruction; however, they also raise concerns about accuracy, privacy, and unintended consequences for teaching and learning. Although GenAI can produce content rapidly and synthesize large quantities of information in ways never imagined, too often discussions emphasize GenAI capabilities rather than what educators must know to use these tools effectively.

This distinction is particularly critical in multilingual education. Learning a language involves more than just memorizing vocabulary and using correct grammar; it also encompasses social, cultural, and human aspects. As GenAI tools become more common in classrooms, multilingual educators need to critically assess GenAI-generated content, make informed teaching choices, and ensure that technology enhances, rather than substitutes for, meaningful learning experiences. Effective GenAI integration depends on cultivating critical GenAI literacy, professional judgment, ethical understanding, and equity-focused teaching. Fostering these skills should be an ongoing focus for teacher educators and others who lead teacher professional development. This article examines why preparing multilingual educators for GenAI integration requires more than technical training. Specifically, it explores the role of critical GenAI literacy, professional judgment, equity-oriented thinking, and professional development in helping educators integrate GenAI responsibly and effectively within multilingual learning environments.

Opportunities for GenAI in Multilingual Education

Multilingual educators often adapt their instruction to address a wide range of diverse learner characteristics and needs. Students vary in language skills, educational background, literacy levels, and familiarity with academic English. They differ in their physical and cognitive abilities and interests. GenAI tools can assist teachers in managing this complexity in myriad ways. For example, they can create prompts that ask GenAI to adapt reading passages for varying proficiency levels, develop vocabulary activities, craft discussion questions, and design formative assessments. GenAI can also assist in drafting multilingual communications for families, offer language use examples, and create additional learning materials. Below is a prompt that could be entered into a GenAI tool (Copilot): "Create a 30-minute lesson for intermediate English language learners on climate change. Include a short reading passage, five academic vocabulary words with definitions, three discussion questions, and a differentiated writing activity for students at varying English proficiency levels. Ensure the content is culturally inclusive and appropriate for multilingual learners.” This example illustrates how GenAI can assist educators with lesson planning and instructional design. However, teachers must still evaluate the accuracy, cultural responsiveness, linguistic appropriateness, and alignment of the generated materials with learning objectives and student needs. Learners can gain from GenAI-driven vocabulary explanations, translation help, writing support, and additional language practice outside class hours. These tools offer instant access to information and allow students to interact with the language in flexible ways.

Importantly, GenAI can help lessen some of the administrative and preparatory burdens faced by educators. As routine tasks become more streamlined, teachers have more time to focus on instruction, provide feedback, build relationships, and support learners. However, these benefits are not automatic. The success of GenAI relies on how educators assess, customize, and apply GenAI-generated resources. GenAI should be seen as a support tool, not as the primary instructor.

Why Tool Use Is Not Enough

Many GenAI workshops showcase tool functionalities. Educators are taught to develop lesson plans, craft activities, or produce classroom materials. While these skills are useful, they cover just one part of GenAI integration. GenAI systems generate responses by identifying patterns in large datasets. Consequently, they may produce erroneous information, overly simplified explanations, fake citations, and culturally biased content. These limitations are especially troubling in multilingual education, where language and culture are closely linked. For example, GenAI-generated texts might mirror dominant cultural viewpoints but neglect the experiences of multilingual communities. Translation results can overlook crucial contextual meanings. Writing feedback may focus on grammatical accuracy, sometimes at the cost of audience awareness, voice, or intercultural understanding. Additionally, multilingual learners might believe that AI-generated responses are authoritative because they tend to seem confident and articulate. Without proper guidance, students could find it difficult to identify inaccuracies or bias. These concerns underscore the ongoing importance of teacher expertise. While GenAI can produce resources, it cannot substitute for educators' insights into learners, contexts, and instructional objectives. Teachers still need to assess whether AI-generated materials are accurate, suitable, and enhance student learning.

Critical GenAI Literacy for Multilingual Educators

To address these challenges, multilingual educators should develop both GenAI literacy and Technological Pedagogical Content Knowledge (TPACK). According to Mishra and colleagues, effective technology integration requires more than technological knowledge alone. Educators must understand content knowledge (what they teach), pedagogical knowledge (how they teach), and technological knowledge (the tools available), as well as the dynamic relationships among these domains. In the context of GenAI, multilingual educators need to understand not only how AI tools function but also how their use can support language acquisition, culturally responsive pedagogy, and meaningful communication. The intersection of technology, pedagogy, and content becomes particularly important when deciding whether an AI-generated activity aligns with learning objectives, students' linguistic needs, and the social and cultural dimensions of language learning. Viewed through a TPACK lens, GenAI integration becomes a matter of professional judgment rather than simple tool adoption.

• Understanding GenAI Limitations: Educators need to be aware that AI-generated responses can sometimes be inaccurate. Recognizing the risk of misinformation enables teachers to assess content carefully before incorporating it into their teaching.
• Evaluating Linguistic and Cultural Appropriateness: Multilingual educators need to evaluate if GenAI-produced materials genuinely represent real language use and culturally responsive practices. Not all GenAI-generated examples match learners' linguistic backgrounds or cultural contexts.
• Promoting Ethical Use: Teachers must grasp issues like privacy, data security, transparency, and academic integrity. Additionally, they should guide students in using AI responsibly and ethically.
• Supporting Student AI Literacy: Students are more and more exposed to GenAI-generated content both in and out of school settings. It is essential for educators to guide them in verifying information, questioning sources, and critically assessing digital materials.

Developing these competencies enables educators to transition from merely using GenAI to intentionally integrating it in ways that enhance learning.

Professional Development in the GenAI Era

Preparing educators for GenAI-enhanced learning environments demands effective professional development. However, many current initiatives mainly offer technical training with few opportunities for critical reflection. Professional development should guide educators to explore both the opportunities and challenges of GenAI. Instead of focusing solely on "How can this tool be used?" they should also consider larger questions:

• How does GenAI support language development?
• How might GenAI affect learner agency?
• What ethical concerns should educators consider?
• How can GenAI be used without reinforcing linguistic inequities?
• When should educators rely on GenAI, and when should they prioritize alternative approaches?

Collaborative professional learning involving multilingual educators, instructional coaches, educational technology specialists, and teacher educators can be particularly valuable. Such collaboration allows educators to discuss classroom experiences, analyze AI-generated materials, share successful practices, and reflect on instructional decisions. These opportunities can help teachers develop both confidence and critical awareness while building a shared understanding of responsible GenAI integration. Teacher education programs play a crucial role in preparing future educators. They should graduate with a solid understanding of GenAI technologies and their impact on multilingual learning. Instead of isolating GenAI as a standalone subject, discussions about GenAI should be incorporated into courses on language acquisition, pedagogy, assessment, and educational technology. Professional development that blends technical skills with critical reflection enables educators to exercise informed professional judgment, ensuring they retain a central role in the learning process.

Equity and Multilingual Learners

Equity must remain central to discussions of GenAI integration. While GenAI technologies hold great promise, access to these resources differs widely among schools, communities, and countries. Variations in internet connectivity, device availability, institutional backing, and the number of tokens available can affect which students can take advantage of AI-powered educational opportunities. Representation is also a crucial factor. Many GenAI systems work better with dominant languages compared to less commonly used ones. Consequently, multilingual learners speaking minoritized languages might get less effective support. Multilingual educators have long been committed to valuing linguistic diversity and creating equitable learning opportunities for learners from diverse linguistic and cultural backgrounds. They need to reflect on whose voices are included in GenAI-generated content and whose experiences might be left out. An equity-focused viewpoint prompts educators to critically examine issues of access, inclusion, and representation. This kind of reflection can help ensure that GenAI supports educational opportunities instead of entrenching current disparities.

Looking Ahead

GenAI is expected to continue playing a significant role in education for the foreseeable future. For educators working with multiple languages, these technologies present meaningful opportunities to enhance language learning, tailor teaching methods, and improve access to educational materials. However, the future of multilingual education shouldn't rely solely on technological ability. Language learning is fundamentally human, grounded in communication, culture, relationships, and identity. The key issue isn't if educators will adopt AI, but how they will integrate it. Multilingual educators are especially well-placed to spearhead meaningful discussions on GenAI, thanks to their expertise in language, culture, and student diversity. Their professional judgment is crucial to ensure that technology supports educational objectives instead of overshadowing them. As multilingual education continues to evolve in a more GenAI-driven world, investment in GenAI literacy, ethical awareness, and ongoing professional learning will be increasingly important. Equipping multilingual educators to interact with GenAI responsibly and thoughtfully will help ensure that technology supports, rather than undercuts, valuable learning experiences for multilingual students.

References

Asim, S., Henderson, J., Heath, M., & Milman, N. (2024). Teaching justice-oriented technology pedagogy: An inquiry-based approach for teacher educators to critically address edtech. Contemporary Issues in Technology and Teacher Education, 24(4). https://citejournal.org/volume-24/issue-4-24/general/teaching-justice-oriented-technology-pedagogy-an-inquiry-based-approach-for-teacher-educators-to-critically-address-edtech

Heath, M., Asim, S., Milman, N., & Henderson, J. (2022). Confronting tools of the oppressor: Framing just technology integration in educational technology and teacher education. Contemporary Issues in Technology and Teacher Education, 22(4). https://citejournal.org/volume-22/issue-4-22/current-practice/confronting-tools-of-the-oppressor-framing-just-technology-integration-in-educational-technology-and-teacher-education

Mishra, P., & Bozkurt, A. (2026). TPACK in the Age of Context and Artificial Intelligence: Punya Mishra on the “Wicked Problem” of AI and Why Algorithms Can’t Replace Context. Open Praxis, 18(2), pp. 398–407. DOI:https://doi.org/10.55982/ openpraxis.18.2.1093

Mishra, P., Warr, M., & Islam, R. (2023): TPACK in the age of ChatGPT and Generative AI. Journal of Digital Learning in Teacher Education, 1-16. 10.1080/21532974.2023.2247480

Mariam Alothman is an international student from Kuwait enrolled in the Ph.D. Education program with a concentration in Human-Technology Collaboration at The George Washington University. Her research focuses on professional development for AI integration among ESL educators, teacher preparation, and the ethical use of emerging technologies in multilingual learning environments.

Natalie B. Milman, Ph.D. is Associate Dean of the George Washington University Graduate School of Education and Human Development’s Office of Student Life and Professor of Educational Technology Leadership. She is fluent in Spanish, a first-generation Colombian-American, and a first-gen BA, MA, and PHD graduate.