I participated each day in the live webinars and reviewed previously recorded sessions as part of the 2024 MALAT Virtual Symposium. I will admit I had no expectations before the symposium began. However, I was impressed with the variety of guest speakers, especially current students completing the MALAT program. They were able to offer real-world insights, networking opportunities, building cohort communities, and access to resources, all while providing motivation and inspiration.

First, generative AI creates personalized learning resources tailored to individual student needs. This tool can analyze learning styles, preferences, and performance, and then AI algorithms can generate study materials, quizzes, and exercises. This approach surprised me with its ability to cater to diverse learning needs. However, the most noticeable challenge may arise in ensuring the accuracy of personalized content.

Secondly, generative AI can develop virtual teaching assistants to support educators and learners. These AI assistants can answer common questions, provide feedback on assignments, and even facilitate discussions in online learning environments. However, challenges may arise in ensuring that AI assistants can handle nuanced inquiries and maintain engagement levels comparable to human counterparts.

Thirdly, generative AI can be used to develop immersive learning experiences through virtual reality (VR) or augmented reality (AR) applications. Students can engage in hands-on learning activities by generating realistic simulations and scenarios, such as virtual labs, historical re-enactments, or interactive storytelling. I had no idea that AI could create highly immersive and interactive activities to enhance learning outcomes and foster learner engagement. However, challenges in creating real-world activities can occur in the development of AI-generated content as well as in providing access to necessary technology for all learners.

These ideas surprised me because they demonstrate how AI technologies can address challenges in education while also presenting new opportunities for enhancing learner experiences. However, I am interested in researching potential risks and other considerations associated with integrating AI into educational settings to determine if it is worth utilizing.

I was surprised to discover how artificial intelligence AI shapes the education journey. It can create and utilize personalized learning paths, automate content, provide adaptive assessments, and provide virtual teaching assistants.

First, personalized learning paths can analyze large amounts of data to determine individual learning styles, preferences, and strengths. This information creates customized learning paths for each learner to ensure they receive content and support that meets or exceeds their needs.

Secondly, AI-automated content creation tools can help generate educational content more efficiently. AI can automatically create quizzes, worksheets, and lecture materials based on specific learning objectives and curriculum requirements.

Thirdly, AI adaptive assessments can adjust the difficulty and format of questions based on real-time performance data. This tool will ensure that learners are challenged at an applicable level that is custom-made to their needs.

Lastly, virtual teaching assistants can provide learners with instant support and guidance outside regular classroom hours. This tool can help enhance the overall learning experience and accessibility of education.

AI-driven tools represent just a glimpse of the exciting possibilities in post-secondary education. As institutions continue to embrace digital transformation, AI tools will play an integral role in developing the future of learning and teaching.

I will admit that before this symposium, I had little knowledge of AI in education. After listening to the guest speakers, I realized I had been using it all along but did not realize it.

I agree that AI-powered adaptive learning platforms can personalize education, cater to individual learner needs, and enhance engagement and retention.

At the same time, I disagree with relying solely on AI in education because AI will remove the importance of human interaction, creativity, and critical thinking, leading to a standardized and potentially biased approach to education.  Educators must be highly skilled in using AI platforms to meet the learner’s needs. AI may struggle to comprehend individual learners’ needs and learning styles fully. Education is a multifaceted process influenced by cultural background, personal experiences, and cognitive abilities, which algorithms may not adequately capture.

To support using AI-powered learning platforms, I must conduct further research into individual learning paths, data insights, learning outcomes, learner engagement, accessibility, inclusivity, and retention. In conducting research through case studies and user testimonials, I will be able to effectively support the argument that AP-powered adaptive learning platforms have the potential to personalize education, cater to learners, and enhance engagement and retention.

Childs, E. (2019, April 15) Part 1. Openness in MALAT [Webinar]. MALAT 2019 Symposium. Royal Roads University. https://mediaspace.royalroads.ca/id/0_6v7lpo97

Cormier, D. (2017, April 18) Intentional messiness of online communities [Webinar]. MALAT 2017 Symposium. Royal Roads University. https://mediaspace.royalroads.ca/id/0_mm564uhv

Johnson, N. (2024, April 8) Digital learning trends in Canadian post-secondary education: A time of digital transformation [Webinar]. MALAT 2024 Symposium. Royal Roads University. https://mediaspace.royalroads.ca/media/N%20Johnston%20MALAT%20VS%202024/0_296cnc6m

Cronin, C. and Czerniewicz, L. (2024, March 28) The future isn’t what it used to be: Open education at a crossroads [Keynote]. Open Education Conference (OER24). Munster Technological University, Cork, Ireland. https://altc.alt.ac.uk/blog/2024/03/oer24-the-future-isnt-what-it-used-to-be/