Seham_ Read and Reflect on AI for Instruction and Learning

Seham_ Read and Reflect on AI for Instruction and Learning

by Seham Makawy -
Number of replies: 1

As mentioned on the video, AI ehanced engagement and personalized instructions which enabled all students to study based on their own pace and capability. In addition, AI activates self-regulated learning through conversational AI agents.

Concerning course development, AI enhanced collaborative work and cascading konwledge widely more than before. 

Well, my colleagues are very interested in using AI tools in their classrooms. They pay much attention to take benefits from AI tools to prepare materials, activities, quizzes, even the assessment system.

I have selected this, but I didn't find the link, so I searched for it on the net.

"How AI conversational agents influence EFL learners' self-regulated learning and retention

Du, Q. (2025). Education and Information Technologies"

Article

The article clarifies by numbers how conversational AI agents help SRL increase more than adaptive groups. Besides, the article tackles how precise the feedback which is AI-generated to delcare the learner's progress. 

Conversational AI agents are able to personalize the input and error correction to fit each learner's needs, which is the aim of all learners.

In reply to Seham Makawy

Seham_ Read and Reflect on AI for Instruction and Learning

by Dr. Nellie Deutsch -

Hi Seham,

It is wonderful to hear that your colleagues are so eager to integrate these tools into their teaching practice. The shift toward using AI for materials preparation and assessment is a significant step in reducing the administrative load on teachers while increasing the quality of student support.

The article you found by Du (2025) is an excellent choice for illustrating these benefits. The fact that it provides empirical data on how conversational agents outperform standard adaptive groups in fostering self regulated learning is very compelling. In my experience, the immediacy of AI generated feedback is what truly transforms the learning process. It allows for a level of personalized error correction that is nearly impossible to achieve in a traditional classroom setting with one teacher and many students.

When learners can interact with an agent that adapts to their specific pace and capability, it builds the confidence necessary for true autonomy. I have also found that AI does not just help the students; it facilitates a more collaborative environment for educators to share and cascade knowledge more effectively.