Reflection on AI for instruction and learning

Reflection on AI for instruction and learning

by Odetty Thapelo Sebone -
  1. How do you feel about using AI for instruction and learning?

AI can be good if used positively. It promotes precise learning, can give personalised feedback which are more beneficial to individuals rather than generalisation feedback. It teaches discipline as learners will need understand plagiarism. It promotes project-based learning, collaboration of ideas and promotes literacy as learners will be directed to articles and other meaningful study materials.

  1. How do you feel about using AI for course development? 

It helps teachers manage time, reduces too much administrative work, its good for leaner activities and helps in lesson preparation.  

  1. How do your colleagues feel about using Ai for instruction and learning?

Some feel it is good because of reasons on number 2, others says it is not good because they still struggle with giving correct prompt

  1. Choose one article that fits your perspectives. https://doi.org/10.3390/computers14120546

 

  1. Share the name of the article and the link to access it from the list of references on APA Bibliography in the website below.  

6.  Enhancing Language Learning with Generative AI: The Case of the OpenLang Network Platform

 

  1. Explain your answer.   Section 2 (Related Work):
    This section reviews existing approaches to language learning technologies, highlighting that traditional computer-assisted language learning (CALL), language MOOCs, and mobile-assisted learning often lack deep personalisation, authentic interaction, and meaningful feedback. While earlier AI systems like intelligent tutoring systems offered some adaptivity, they were limited and resource-intensive. The emergence of generative AI introduces more advanced possibilities such as real-time conversational practice, personalised content creation, adaptive feedback, and material transformation; however, it also raises ethical concerns like bias, privacy, and academic integrity, which require responsible integration into education .

  Section 3 (AI-Enhanced Sustainable Design Framework):
This section explains how generative AI strengthens the platform’s original design principles—such as openness, customisation, interactivity, and community support—by making learning more adaptive, personalised, and collaborative. AI enables dynamic learning pathways, conversational agents, automated resource adaptation, and intelligent feedback systems, shifting learning from static and teacher-directed to learner-centred and continuously evolving. At the same time, ethical considerations like transparency, data protection, and human oversight are emphasised to ensure that AI supports, rather than replaces, meaningful teaching and learning practices .

  Section 4 (AI-Enhanced Language Learning Services):
This section describes how AI improves specific platform services such as placement tests, tandem learning, OERs, discussions, MOOCs, and dashboards. AI transforms assessments into adaptive diagnostic tools with personalised feedback, enhances language practice through conversational agents, and turns static resources into dynamically tailored learning materials. It also supports community interaction, personalised recommendations, and data-driven insights for both learners and teachers, ultimately creating a more responsive, engaging, and learner-focused educational environment

 

Reflection on AI for instruction and learning

by Dr. Nellie Deutsch -

Hi Odetty,

Thank you for sharing such a thoughtful and balanced perspective. You clearly see both the opportunities and the responsibilities that come with using AI, and that kind of awareness is exactly what leads to meaningful use in education.

Your point about personalised feedback stands out. When AI is used well, it can meet learners where they are instead of forcing everyone into the same path. That shift from generalised instruction to individual support is powerful, especially in language learning where progress and confidence vary so much from one learner to another. At the same time, you are right to connect this with discipline and understanding plagiarism. AI does not remove responsibility from learners, it actually requires stronger guidance so they learn how to use it ethically and thoughtfully.

Your reflection on course development is also very grounded. AI is not just about saving time, it is about freeing teachers to focus on what matters most, which is designing meaningful learning experiences. When administrative load is reduced, teachers can invest more energy into creativity, interaction, and supporting their students.

It is also very real that some colleagues are hesitant, especially with prompting. This is not a small issue. Writing effective prompts is a skill, and without support, it can feel frustrating. This is where collaboration among teachers becomes important, sharing examples, testing ideas together, and learning through practice rather than expecting perfection right away.

The article you selected fits your thinking very well. What you highlighted from the related work shows a clear limitation of earlier systems, they lacked true personalisation and authentic interaction. Generative AI begins to close that gap by enabling real time communication, adaptive feedback, and flexible content creation. But what I appreciate most in your explanation is that you did not ignore the risks. Bias, privacy, and academic integrity are not side issues, they are central to how AI should be used in education.

Your explanation of the framework and services sections shows a strong understanding of the shift taking place. Learning is moving from something fixed and teacher directed to something more dynamic and learner centred. At the same time, you recognize that teachers remain essential. AI can support, guide, and enhance, but it cannot replace the human role in designing, mentoring, and making ethical decisions.

You are thinking in the right direction. The next step is to keep experimenting in small ways, especially with prompting and activity design, so that both you and your colleagues build confidence through practice rather than theory alone.