The EDDN 637 Discussion Board on Practice and Application with a Focus on Differentiated Assessment connects the principles of differentiation to the practical work of classroom teaching by focusing on lesson planning, authentic student products, reflection, and multimodal explanation. It is also a low-stakes grade preparation for a larger assignment later in the semester and serves as a knowledge check for me, the faculty. The answers my candidates provide are helpful for my commentary focused on the upcoming assignment. A central feature of the assignment is the use of anonymized student products. These products provide concrete evidence of how differentiation functions in practice. Rather than discussing differentiation only in theory, the assignment requires analyzing real student work and demonstrates how assessment can be adjusted while maintaining meaningful learning goals.
Dionysia Di Meo is an experienced educator and NYS‑licensed bilingual (Greek) Speech‑Language Pathologist specializing in pediatric language/phonological disorders, dysphagia, and Autism Spectrum Disorders. She has extensive experience in Early Intervention, holds TSSLD certification, and is pursuing an Advanced Certificate in TESOL at Touro University. An aspiring polyglot, she is learning Italian, Spanish, and Turkish, and teaches Greek Language, History, and Culture at a National Blue Ribbon School.
Through Touro’s TESOL program, I learned that the most powerful classrooms are built on scaffolds, not shortcuts – meeting Multilingual Learners where they are and believing in where they can go.
Dionysia Di Meo, Touro University TESOL Candidate
Featuring my teacher candidates’ work in my TESOL blog is an intentional pedagogical practice that recognizes them as emerging professionals whose ideas, reflections, and instructional designs deserve visibility within the field. It makes the complex process of becoming a TESOL educator visible by showcasing how candidates connect coursework, theory, fieldwork, and multilingual learner advocacy in authentic classroom contexts. Most importantly, it positions my candidates not simply as students completing assignments, but as capable, praxis-oriented future educators whose developing expertise, creativity, and professional voices contribute meaningfully to the broader educational community. Below is the exemplary DB submitted by my candidate Dionysia Di Meo:
Students will become acquainted with and practice effective approaches, methods, and strategies for teaching and evaluating English language learners in the content areas (ELA, social studies, math and science). Throughout the course, students will explore the impact of culture and language on classroom learning. Special challenges in teaching and assessment in each content area will also be discussed. Includes 15 hours of field work.
Maria Quiroz is a Spanish teacher at John Adams High School in New York City. She is currently pursuing a Master’s degree in TESOL at Touro University, where she focuses on supporting multilingual learners through effective instructional strategies. Her work emphasizes creating engaging, inclusive, and language-rich classroom environments.
“My journey at Touro has helped me connect theory to real classroom practice, allowing me to better support my multilingual learners. I have grown as an educator by learning how to design lessons that build both content knowledge and language skills. This program has strengthened my confidence and commitment to teaching diverse students.” Maria Quiroz, Touro University TESOL Candidate
Exemplary Discussion Board 7 Practice and Application submission for EDDN 637 Second Language Learners and the Content Areas
Prof. Jasmin Cowin:This Discussion Board submission is exemplary because it demonstrates a clear and applied understanding of the SIOP model through the integration of hands-on practice, structured application tasks, and attention to multiple language domains. It is further strengthened by the effective use of direct textual evidence to support instructional decisions and by the analytical treatment of teaching scenarios, which moves beyond description to evaluation. The discussion of writing samples is particularly well developed, as it connects proficiency levels to observable learner performance, reflecting a grounded understanding of second-language development.
Textbook Chapter 7 Practice and Application (p. 182-203): What activities are you planning to provide for your students in your SIOP lesson to apply content and language knowledge? Support your statement by quoting directly from the text with the page number.
In my SIOP lesson, I plan to use hands-on practice and meaningful application tasks so students can build content understanding while also using academic language. First, I will include manipulatives or visual models that students can touch, move, and use to demonstrate new concepts. The chapter explains that “students have a greater chance of mastering content concepts and skills when they are given multiple opportunities to practice in relevant, meaningful ways” (p. 185).
Next, I will design an application task that asks students to use the new concept in a new way, such as explaining a process to a partner using sentence frames, creating a short written explanation, or acting out a concept and describing it orally. This matches the idea that for students learning a new language, application matters because “discussing and ‘doing’ make the abstract concepts more concrete” (p. 187).
I will also plan for students to use more than one language domain in the same lesson, so they practice speaking, listening, reading, and writing connected to the same objective. The chapter states that for SIOP instruction, “practice and application tasks should also aim for practice of all four language skills: reading, writing, listening, and speaking” (p. 183).
2. Teaching scenarios, starting on p. 193 – discuss your takeaways from the teaching scenarios and quote directly from the text with the page number.
My key takeaway from the teaching scenarios is that practice and application must be active and structured, so students do not stay passive. In Mrs. Bertoni’s lesson, students listened, repeated, copied, and then were expected to complete homework independently, but they did not get guided opportunities to practice and apply the concepts in class. The discussion makes this point clearly: “Listening to a teacher read is not a practice activity” (p. 198).
In contrast, Mr. Sherbiny’s lesson shows what strong SIOP Practice and Application looks like. Students used hands-on materials, practiced the language frames aloud, read a text, wrote sentences, and applied concepts through examples and demonstrations. The scenario analysis highlights that “students used manipulatives in small groups to demonstrate revolution and rotation and practiced language frames to explain the concepts” (p. 198).
Mrs. Aliheri’s lesson reminded me that interactive activities still need careful scaffolding. Even though she used a video and tried word cards, the task did not set students up for success because there were missing supports and unclear steps. The text explains that “her planning was poor, as was the execution of the task” (p. 198). Overall, these scenarios reinforced that SIOP practice must be hands-on and guided, and application must require students to use both content knowledge and language in a supportive structure.
3. Choose one grade-level writing sample to build your understanding of the different writing competencies and levels at your teaching level. Choose 3 writing samples of your grade level and discuss how they are similar/not similar to what you see your ELL/ML students produce in your writing assessments. Select a writing sample below. INCLUDE A SCREENSHOT of the writing sample because neither your peers nor I will be able to guess what you are analyzing!
For this part, I selected three Grades 7–9 writing samples at Level 1, Level 3, and Level 5 from the LearnAlberta Writing Assessment Exemplars to understand differences in writing competencies across proficiency levels.
Level 1 shows very basic writing control. The writing is short, repetitive, and relies on simple sentence patterns. Ideas are listed more than developed, and there are frequent grammar errors that affect clarity. This looks similar to what I see when my beginner language learners write, even in my Spanish classroom. At early stages, students often depend on repeated sentence starters and basic vocabulary because they are still building control of word order and sentence structure.
Level 3 shows growth in development and organization. The student writes a longer response, attempts to explain reasons, and includes more detail. Sentences are longer and more complete, and the ideas connect more logically, even if there are still noticeable language errors. This is similar to what I see when students move from novice to more intermediate performance in a second language. They take more risks with language and expand their ideas, but they still need support with accuracy and cohesion.
Level 5 shows stronger control of extended writing. The response is longer, more organized, and includes explanations and examples. Vocabulary is more varied, and sentences show more complexity, even though some grammar issues remain. This resembles what I see in my more advanced language learners, who can sustain an argument or explanation and elaborate their ideas with more independence.
References
Echevarría, J., Vogt, M. E., & Short, D. J. (2017). Making content comprehensible for English learners: The SIOP model(5th ed.). Pearson.
The EDDN 637 Differentiated Assessment assignment connects the principles of differentiation to the practical work of classroom teaching by focusing on lesson planning, authentic student products, reflection, and multimodal explanation.
It begins with an existing lesson plan and asks for a modified version that incorporates differentiated assessment. This structure reflects classroom reality: teachers often adapt existing lessons to better respond to students’ readiness, interests, and learning profiles. Using the same lesson plan template for both the original and revised versions makes the instructional changes visible and easy to compare.
A central feature of the assignment is the use of anonymized student products. These products provide concrete evidence of how differentiation functions in practice. Rather than discussing differentiation only in theory, the assignment requires analyzing real student work and demonstrates how assessment can be adjusted while maintaining meaningful learning goals.
The reflection component supports professional growth by requiring an explanation of how differentiated assessment applies to English language learners and multilingual learners. The use of Grammarly is required as part of the writing and revision process. The screenshot requirement also supports transparency in completing the reflection.
The video component adds another practical dimension. By presenting one aspect of differentiated assessment through Padlet, the assignment connects written analysis to oral explanation. This mirrors professional teaching contexts, where instructional decisions must often be explained clearly to colleagues, supervisors, or families.
The assignment is AI-resistant because it depends on authentic, context-specific evidence. A generic response cannot replace an actual lesson plan, anonymized student work, a documented revision process, and a personalized explanation of classroom practice. AI may support limited tasks, such as helping create a graphic organizer when properly disclosed, but it cannot substitute for the required connection among teaching context, student products, reflection, and professional judgment.
Overall, the assignment links differentiation theory to classroom-based assessment practice. It emphasizes that differentiated assessment is not only a planning concept, but a documented instructional process grounded in the needs and products of multilingual learners.
Kamryn Sherman is currently teaching at Buchanan-Verplanck Elementary School as a 1st-grade leave replacement in an ENL co-taught classroom. She earned her degree in Childhood Education (1-6) from SUNY Oswego and is currently pursuing her master’s in TESOL at Touro University. Her work focuses on creating inclusive, language-rich classrooms that help all students build confidence and feel valued in their learning.
“My time at Touro University has pushed me to think more deeply about my teaching and has strengthened my ability to support multilingual learners in meaningful ways.” Kamryn Sherman, Touro University TESOL Candidate
In current TESOL practice, the question is no longer whether artificial intelligence belongs in the classroom, but how it can be integrated without displacing the intellectual and pedagogical labor that defines effective teaching. This Instructional Method Assignment – Teaching a Mini-Lesson to an ML Audience for the Touro University TESOL/BLE course EDPN 673 – Methods and Materials for Teaching English as a Second Language is designed as a deliberate response to that tension. It positions AI not as a substitute for thinking, but as a collaborator within a broader ecology of embodied teaching, disciplinary knowledge, and reflective practice.
At its core, the assignment asks Touro University TESOL/BLE teacher candidates to inhabit a methodological tradition not abstractly, but physically. The simulated teaching video foregrounds the body as a site of pedagogy: gesture, proximity, pacing, and the handling of realia become constitutive elements of meaning-making. In this sense, the “method-pure” requirement is not merely technical. It is epistemological. It asks candidates to test what it means for a theory of language learning to be enacted through voice and movement in space, rather than summarized in prose.
The written analysis, by contrast, reclaims the domain of intellectual work. Here, candidates situate their chosen method historically and theoretically, interrogating its assumptions, affordances, and limitations. This component resists the reduction of teaching to performance alone. It insists that pedagogical action must be grounded in critical awareness, particularly when methods are transported into multilingual, contemporary classrooms that differ significantly from their original contexts.
Between these two domains lies the guided use of AI, specifically through structured co-creation with tools such as Microsoft Copilot. The reflective component makes visible an often invisible process: how ideas are iteratively shaped, challenged, and refined. In my view, this is where responsible AI use becomes pedagogically meaningful. Candidates are not rewarded for seamless outputs, but for evidencing discernment. They must demonstrate where AI supported clarity, where it introduced limitations, and where professional judgment required deviation from its suggestions.
The assignment, therefore, stages a productive dialectic. The physical performance of teaching resists abstraction; the analytical paper resists superficiality; and the AI collaboration resists passivity. Taken together, these elements model a form of teacher preparation that acknowledges technological change while maintaining a clear commitment to pedagogical intentionality.
Featured Touro University Candidate:
Evangelia Diakoumakos is an elementary school teacher in Brooklyn, who teaches a fourth-grade general education (ENL) class. As a teacher of a large multilingual learner population, she has developed an even stronger passion for language development and culturally responsive teaching. She is committed to creating an inclusive classroom where all students feel valued and supported in their learning.
“As a student nearing the completion of my master’s degree, one of the most rewarding experiences has been the ability to connect and apply concepts from my coursework at Touro directly to my classroom. My studies have not only transformed my instructional practices, but have also reaffirmed my love for language learning.”
Evangelia Diakoumakos, Touro University TESOL Candidate
Course Description Students will become acquainted with and practice effective approaches, methods, and strategies for teaching and evaluating English language learners in the content areas (ELA, Social Studies, Math and Science). Throughout the course, students will explore the impact of culture and language upon classroom learning. Special challenges in teaching and assessment in each content area will be discussed. Examination and analysis of curriculum materials and instructional strategies for creative teaching and learning in grades Pe-K-12. Includes content-specific lesson planning that addresses the New York State Student Content Learning Standards with emphasis on English Language Arts, English as a Second Language, and content area instruction. Course content includes demonstrations, simulated activities, and field observations in Pre-K-12 classrooms. The course also examines how the teaching of English to non- native speakers can be integrated with the teaching of cognitive skills in all content areas. Students will be offered a variety of methods and materials to integrate ESL standards throughout all content areas for classroom use. Includes 15 hours of fieldwork. Includes 15 hours of fieldwork. 3 credits
Jennifer Taranto: I’m graduating with my TESOL certification this June, and I can’t wait to bring everything I’ve learned into the classroom. After 17 years as a paraprofessional and now three years as a special education teacher, I’ve learned that every student shines when given the right scaffolds and support. Teaching in a 12:1 classroom keeps me on my toes, challenges me to be creative, and reminds me why I love this work every single day.
“During my 15 hours of ENL field observations, I learned that effective teaching goes beyond delivering content; it’s about creating a learning environment where all students can participate and feel confident. Seeing how intentional scaffolding, clear instruction, and ongoing support help English learners access content showed me the real impact thoughtful teaching can have on student engagement and success.” Jennifer Taranto, Touro University TESOL Candidate
Ms. Taranto wrote in her fieldwork paper:
“Throughout these lessons, teachers consistently integrated explicit language objectives, modeled think-alouds, provided sentence frames and word banks, and designed opportunities for oral rehearsal prior to writing, moves that reflect core sheltered instruction practices for making content comprehensible while advancing language development (Echevarria, Vogt, & Short, 2017; Kareva & Echevarria, 2013). The instructional materials throughout the lesson followed a purposeful multimodal approach. The segregation lesson utilized historical photographs, while picture cards and sentence strips helped students learn sentence structure and the past tense, and emojis aided them in understanding the meanings of adjectives and their effects.”Jennifer Taranto, Touro University TESOL Candidate
In my opinion, this passage clearly crystallizes her fieldwork insights for several reasons.
First, it demonstrates analytic synthesis rather than description. Jennifer moves beyond listing observed practices and explicitly names how those practices function within a sheltered instruction framework. The linkage between observed classroom moves and theoretical constructs such as comprehensible input, multimodality, and oral rehearsal signals disciplinary competence and analytic maturity.
Second, this section demonstrates a tight alignment between the data and the framework. She does not merely cite the SIOP Model, but illustrates its components through concrete instructional examples, such as think-alouds and sentence frames. This alignment indicates that she synthesized SIOP as an enacted pedagogy rather than an abstract checklist.
Third, the passage captures fieldwork-specific insight that could only emerge from sustained observation. The reference to emojis, historical photographs, and sentence strips reflects attention to how teachers translate abstract language demands into tangible semiotic supports. This is a hallmark of strong qualitative fieldwork analysis, as it foregrounds instructional decision-making in context.
The Touro University Copilot Grant supports my work as a faculty member in explicitly teaching teacher candidates how to use Copilot as an instructional design tool within a structured, standards-aligned pedagogical framework. In this course, Copilot is not introduced as an optional productivity aid. It is taught as a professional instructional resource whose use must be intentional, transparent, and grounded in TESOL theory, state standards, and multilingual learner pedagogy.
The instructional focus of this grant-funded work is on teaching candidates how to work with Copilot, rather than merely allowing its use. Candidates are guided through a faculty-modeled process that emphasizes instructional problem identification, constrained prompting, critical evaluation of AI-generated outputs, and revision based on professional judgment.
Instructional context and assignment purpose
The Copilot integration is based on a major assessment titled “Instructional Material Critique and Redesign with Infographic.” The assignment is designed to teach candidates how to critically analyze instructional materials and redesign them to improve accessibility and rigor for multilingual learners.
Materials may include complete texts or individual chapters from instructional resources commonly used in schools. The assignment explicitly teaches candidates how to engage in mastery-level material critique and redesign using established TESOL and multilingual education frameworks.
Explicit teaching of Copilot as an instructional design tool
Within this assignment, I explicitly teach candidates how Copilot can be used as a co-creative instructional design partner under faculty supervision and pedagogical constraints. Copilot is introduced through direct instruction and modeling, not discovery-based experimentation.
Generates draft instructional materials, not finished products
Requires human evaluation using research-based criteria
Must be revised to ensure linguistic accuracy, cultural responsiveness, and standards alignment
This explicit framing positions Copilot as part of the instructional design process, not as an authority or substitute for professional educators’ expertise.
Xavier Campoverde is a bilingual social studies teacher at the high school he attended growing up. He is passionate about ensuring that every student has the ability to learn based on their individual needs, building on what they already know, and establishing a safe learning environment for all. He is also a proud husband and father to two wonderful children.
I learned that being a TESOL educator means being an advocate, a designer, and a listener, using data, culture, and technology to ensure every multilingual learner can thrive. Xavier Campoverde, Touro University TESOL Candidate.
Fieldwork reflection is a critical component of TESOL candidate growth because it functions as the primary mechanism through which theoretical knowledge is transformed into professional judgment. In EDDN 635, curriculum development and classroom management are not treated as abstract constructs but as situated practices shaped by technology, policy, and the linguistic realities of multilingual learners. Reflective fieldwork allows candidates to systematically examine how instructional decisions, technological tools, and classroom management strategies interact to support or constrain language development in real educational settings.
From a pedagogical standpoint, structured reflection promotes metacognition, professional noticing, and evidence based reasoning. By observing classrooms, libraries, and technology infrastructures, and by engaging with ICT specialists and educators, candidates learn to analyze curriculum design choices in relation to student needs, institutional constraints, and state level policies. Reflection deepens this analysis by requiring candidates to connect observations to course readings, TESOL principles, and research on technology mediated instruction. In my opinion, this deliberate linking of theory, observation, and analysis is what moves candidates beyond description toward informed instructional decision making.
Ultimately, reflective fieldwork supports the development of adaptive, reflective practitioners who can design technology integrated curricula that are linguistically responsive, pedagogically sound, and contextually appropriate. For TESOL candidates, this process strengthens professional identity, sharpens analytical skills, and lays the foundation for sustained growth in an increasingly complex and technology driven educational landscape.
Madison Derwin holds a Bachelor’s Degree in Inclusive Childhood Education from SUNY Cortland. She is currently pursuing a Master’s Degree in TESOL and working as a 4th-grade Teacher’s Assistant at an elementary school on Long Island. Her goal as an educator is to create an inclusive, supportive learning environment that empowers every student to reach their full potential and thrive both academically and socially. She shared a favorite quote: “I’m not telling you it’s going to be easy- I’m telling you it’s going to be worth it.”- Art Williams
This assignment, Instructional Method Assignment – Teaching a Mini-Lesson to an ML Audience, required creating a simulated teaching video that demonstrates one specific language teaching method from our course readings. This is a pretend lesson where you act as the teacher presenting to an imaginary multilingual learner audience for EDPN 673 Methods and Materials for Teaching English as a Second Language. This course provides a historical overview of second language acquisition theories and teaching methods. Students learn how to apply current approaches, methods and techniques, with attention to the effective use of materials, in teaching English as a second language. Students will engage in the planning and implementation of standards-based ESL instruction, which includes differentiated learning experiences geared to students’ needs. Emphasis is placed on creating culturally responsive learning environments. Includes 15 hours of field work.
The assignment was designed to deepen TESOL candidates’ methodological expertise while positioning them to engage with artificial intelligence in purposeful and pedagogically sound ways. It reflects Touro University’s broader initiative to strengthen AI literacy across its programs through a Touro Faculty AI Grant headed and supported by Shlomo Engelson Argamon, Associate Provost for Artificial Intelligence and Professor of Computer Science, and Jamie Sundvall, Ph.D, Psy.D, LP, LCSW, Assistant Provost of Artificial Intelligence. Within this institutional landscape, the assignment serves as a structured model for preparing educators to work in learning environments where AI is increasingly integrated into curriculum, assessment, and multilingual support.
My motto, Education for 2060, emphasizes the development of shared spaces of competencies influenced by AI and large language models. As schools and districts integrate AI into core instructional processes, teacher education programs must develop candidates who can navigate these systems with ethical judgment and instructional precision. This assignment, therefore, balances two essential design principles: strong safeguards against unverified AI substitution and intentional guidance for targeted AI use.
The AI-resistant component centers on a six to seven-minute simulated teaching video that requires candidates to embody a single method from the course readings. By performing the method in a real physical space with realia, gesture, classroom presence, and teacher talk, candidates demonstrate the translation of theory into practice. This performance reveals decision-making, sequencing, and pedagogical rationale that cannot be delegated to AI, ensuring that candidates are evaluated on their own instructional competence.
Targeted AI use is built into the assignment through Copilot-supported planning and reflection. Copilot is positioned as a thinking partner that helps candidates examine the structural logic of the method, refine the flow of the activity, and interrogate their own understanding. Proof of work in the form of screenshots and reflective commentary ensures transparency and allows candidates to analyze the accuracy, limitations, and pedagogical value of AI-generated suggestions. In this way, the assignment teaches AI literacy as a reflective and evaluative process rather than a generative shortcut.
The written analysis links the performance to course theories, identifies the method features demonstrated in the video, and articulates how Copilot contributed to planning choices. This component reinforces conceptual understanding while modeling a professional stance toward responsible AI use.
By combining embodied demonstration with documented AI-supported thinking, the assignment prepares candidates for a future in which educators and AI systems occupy interconnected roles. It brings the work full circle by returning to the idea of shared spaces of competencies. Candidates learn to inhabit these spaces with confidence, contributing their own pedagogical judgment while engaging with AI in ways that enhance, rather than replace, their professional expertise.
Rachel Melamed is a high school teacher in Brooklyn, New York. She earned her bachelor’s degree in Inclusive Education from SUNY Cortland and is a first-generation graduate student pursuing her master’s in TESOL at Touro University. Growing up in a Russian-speaking household helped her develop a passion for teaching multilingual learners and shaped her approach to connecting with them in the classroom.
Using Copilot helped me rework a lesson I had taught before and make it more accessible for English language learners. I learned how small adjustments and simplified, repetitive language can make a big difference when designing lessons.
Rachel Melamed master’s degree candidate in TESOL at Touro University
This assignment, Instructional Method Assignment – Teaching a Mini-Lesson to an ML Audience, required creating a simulated teaching video that demonstrates one specific language teaching method from our course readings. This is a pretend lesson where you act as the teacher presenting to an imaginary multilingual learner audience for EDPN 673 Methods and Materials for Teaching English as a Second Language. This course provides a historical overview of second language acquisition theories and teaching methods. Students learn how to apply current approaches, methods and techniques, with attention to the effective use of materials, in teaching English as a second language. Students will engage in the planning and implementation of standards-based ESL instruction, which includes differentiated learning experiences geared to students’ needs. Emphasis is placed on creating culturally responsive learning environments. Includes 15 hours of field work.
The assignment was designed to deepen TESOL candidates’ methodological expertise while positioning them to engage with artificial intelligence in purposeful and pedagogically sound ways. It reflects Touro University’s broader initiative to strengthen AI literacy across its programs through a Touro Faculty AI Grant headed and supported by Shlomo Engelson Argamon, Associate Provost for Artificial Intelligence and Professor of Computer Science, and Jamie Sundvall, Ph.D, Psy.D, LP, LCSW, Assistant Provost of Artificial Intelligence. Within this institutional landscape, the assignment serves as a structured model for preparing educators to work in learning environments where AI is increasingly integrated into curriculum, assessment, and multilingual support.
My motto, Education for 2060, emphasizes the development of shared spaces of competencies influenced by AI and large language models. As schools and districts integrate AI into core instructional processes, teacher education programs must develop candidates who can navigate these systems with ethical judgment and instructional precision. This assignment, therefore, balances two essential design principles: strong safeguards against unverified AI substitution and intentional guidance for targeted AI use.
The AI-resistant component centers on a six to seven-minute simulated teaching video that requires candidates to embody a single method from the course readings. By performing the method in a real physical space with realia, gesture, classroom presence, and teacher talk, candidates demonstrate the translation of theory into practice. This performance reveals decision-making, sequencing, and pedagogical rationale that cannot be delegated to AI, ensuring that candidates are evaluated on their own instructional competence.
Targeted AI use is built into the assignment through Copilot-supported planning and reflection. Copilot is positioned as a thinking partner that helps candidates examine the structural logic of the method, refine the flow of the activity, and interrogate their own understanding. Proof of work in the form of screenshots and reflective commentary ensures transparency and allows candidates to analyze the accuracy, limitations, and pedagogical value of AI-generated suggestions. In this way, the assignment teaches AI literacy as a reflective and evaluative process rather than a generative shortcut.
The written analysis links the performance to course theories, identifies the method features demonstrated in the video, and articulates how Copilot contributed to planning choices. This component reinforces conceptual understanding while modeling a professional stance toward responsible AI use.
By combining embodied demonstration with documented AI-supported thinking, the assignment prepares candidates for a future in which educators and AI systems occupy interconnected roles. It brings the work full circle by returning to the idea of shared spaces of competencies. Candidates learn to inhabit these spaces with confidence, contributing their own pedagogical judgment while engaging with AI in ways that enhance, rather than replace, their professional expertise.
Carly Croteau is in her second-to-last semester of the Master’s Degree in TESOL at Touro University and is currently in her fourth year of teaching as a fourth-grade general education teacher in an ENL classroom. Her favorite quote: “I’ve learned that people will forget what you said, people will forget what you did, but people will never forget how you made them feel.” by Maya Angelou
I was first introduced to Copilot during a district professional development session and encountered it again this semester in my TESOL coursework at Touro University. I find Copilot to be a valuable support for both educators and students when used with clear, well-structured prompts. I see it as a helpful aid that can enhance instructional work, but not as a replacement for the professional judgment and intellectual effort that teachers and learners bring to the process.
Carly Croteau, Master’s Degree in TESOL candidate at Touro University
This assignment reflects Touro University’s broader initiative to strengthen AI literacy across its programs through a Touro Faculty AI Grant headed and supported by Shlomo Engelson Argamon, Associate Provost for Artificial Intelligence, Professor of Computer Science & Jamie Sundvall, Ph.D, Psy.D. LP, LCSW, Assistant Provost of Artificial Intelligence
My motto, ‘Education for 2060,’ focuses on shared spaces of competencies shaped by AI and large language models. As schools, districts, and our students adopt AI tools for learning, assessment, curriculum development, and multilingual support, teacher education programs must equip our candidates with the knowledge and nuanced judgment needed to integrate these technologies ethically, strategically, and in alignment with sound principles of pedagogy and instructional design. The goal is not technological substitution but pedagogical enhancement. Responsible AI use requires a clear understanding of when and why an AI-supported process strengthens instructional decisions, particularly for multilingual learners who interact with complex academic texts across content areas.
The work of analyzing text complexity offers an ideal entry point for developing AI literacy in teacher preparation. Examining linguistic, cognitive, and cultural demands requires careful reasoning and structured evaluation. These skills align with high-quality instructional design and can be augmented by transparent AI tools that assist candidates in organizing ideas, checking coherence, and strengthening linguistic analysis without taking over intellectual labor. Within this assignment, targeted use of AI support mirrors the professional responsibilities teachers will face when adapting curriculum materials, planning differentiated instruction, and selecting resources for English Language Learners and Multilingual Learners. Candidates learn to pair human expertise with AI-supported review processes that promote accuracy, clarity, and reflective practice.
The integration of Microsoft Copilot for final review models responsible AI use that complements, rather than replaces, analytical work. Candidates are required to complete their paper independently and then invite AI-supported critique, focusing on coherence, alignment with APA standards, and clarity of argumentation. This mirrors practical praxis where educators may use AI tools to refine instructional plans, check alignment to standards, and evaluate materials before implementation. By engaging in this structured workflow, Touro University GSE candidates experience a practical application of AI literacy that reinforces their ability to evaluate complex text for ELL and ML access while maintaining professional accountability.
The broader purpose of embedding AI-supported review is to help our Touro University TESOL teacher candidates develop habits of mind that pair rigorous analysis with reflective metacognition. Engaging in text complexity analysis, considering reader and task variables, and examining linguistic challenges for multilingual learners requires nuanced evaluative skills. When paired with transparent and ethical use of AI as a secondary tool for refinement, candidates learn how exponential technologies can support differentiated lesson planning and curriculum construction. This fosters a readiness to lead in classrooms where multilingual learners depend on teachers who can leverage digital resources while upholding principles of equity, clarity, and culturally responsive practice.
Angelica Marziliano: I have been an educator for ten years, starting my career as a paraprofessional before transitioning to a general education teacher. Over the years, I’ve had the privilege of teaching a large and diverse student population, including many English Language Learners. I am currently pursuing my graduate degree in TESOL at Touro University to further support all students in reaching their full potential.
At Touro University, I learned that effective teaching means meeting each learner where they are, differentiating instruction so every student can reach their full potential.
Dr. J's Education Blog 