Humanities

Using Speakology AI to Improve Arabic Communication Skills

Class Semester Instructor Department License
Elementary Modern Standard Arabic for Heritage Learners Fall 2025 Sarab Al Ani Near Eastern Languages and Civilizations CC BY-NC-SA 4.0

Learning Objectives

  • Strengthen Communicative Proficiency: Improve interpersonal, interpretive, and intercultural skills through interactive, theme-based role-play tasks
  • Evaluate Tool Efficacy: Assess the quality of AI-generated outputs to determine how effectively they meet specific student learning needs and goals.
  • Analyze Output Variability: Develop an understanding of AI instability, recognizing how results fluctuate based on the model, prompting techniques, and specific requests.
  • Promote Critical Awareness: Differentiate between the nuances of human-to-human interaction and simulated communication with artificial intelligence.
  • Map Linguistic Growth: Utilize standardized frameworks to track and evaluate student progress during real-time, spontaneous oral interactions.

Description of Activities

This project implemented Active Learning pedagogical practices, shifting the focus from passive reception to “learning by doing.” Students engaged in live simulated, spontaneous conversations with a Generative AI partner using Speakology AI, which required them to actively communicate through speaking, listening, and responding in real-time. These interactions facilitated both interpersonal and interpretive communication, while simultaneously fostering intercultural competence as students explored the products, practices, and perspectives of the target culture.


Grounded in the Communicative Language Teaching (CLT) approach, the activity utilized prompts centered on authentic, real-world topics that are appropriate for their language level—such as family structures, educational opportunities, and leisure activities. This was particularly vital for heritage learners of Arabic, who often possess fluency in regional dialects but require structured practice to master Modern Standard Arabic.


Beyond the conversation itself, students engaged in metacognitive reflection. They evaluated the efficacy of GAI as a language partner and mapped their own proficiency growth using ACTFL “Can-Do” Statements. By comparing their interactions with GAI to human-to-human communication, students gained a deeper understanding of the nuances of natural language use and the evolving role of technology in their language-learning journey.

Reflections

The implementation of Speakology AI this semester has been a transformative experience for both my pedagogy and my students’ linguistic development. By collaboratively developing 12 thematic assignments with the Speakology team, I was able to create a highly structured yet spontaneous environment for oral practice that bridged the gap between classroom theory and real-world application.

Versatility and Pedagogical Precision: One of the most impressive aspects of the platform is its immense versatility. Unlike generic chatbots, Speakology allowed me to meticulously design each interaction. I could specify the target grammar, essential vocabulary, and core themes, while setting precise performance benchmarks, conversation lengths, and feedback types. This level of customization ensured that every interaction was perfectly calibrated to the students’ current needs and learning objectives.


Impact on Heritage Learners: The tool proved especially vital for Heritage Learners. By conducting conversations exclusively in the target language—without the “crutch” of English—it pushed students to navigate Modern Standard Arabic in a low-stakes, high-output environment. This built significant confidence among Novice learners, who often feel hesitant to speak in class due to their varying dialectal backgrounds. The immediate feedback on accuracy and fluency allowed for real-time course correction that is simply not possible in a traditional group setting.


Data-Driven Progress: The integration of ACTFL performance benchmarks turned the platform into a powerful mapping tool. By setting entry and target levels at the start of the semester, I could strategically track student growth. Having access to full transcripts and audio recordings allowed me to provide deeply individualized feedback on Canvas, ensuring that my assessments were grounded in specific evidence of their communicative ability.


Challenges and Future Growth: The primary hurdle was administrative; the privacy requirement for students to use pseudonyms necessitated constant cross-referencing with my roster. However, the benefits far outweighed this inconvenience. Looking forward, the platform’s continuous evolution—including new features for writing input—opens exciting doors for multi-modal literacy.


Conclusion and Recommendations: Because the tool offers such a wide array of sophisticated features, I believe specialized training for educators is essential to fully unlock its potential. Speakology AI has proven to be an invaluable asset, and I look forward to its continued use in Spring 2026. It is my hope that this resource will be formally adopted across our language programs to standardize this high level of interactive, benchmark-aligned learning.

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