This site is still in progress. I’m building it to share my thoughts and studies, but for now, it’s mainly used for my MET coursework.
By Sean Jeon | (ETEC 523_2025 – A4)
*background image created by Google Nano Banana Pro
A1 – Blippar: Redefining Mobile Learning Through AR
Examined how Blippar uses mobile AR for interactive, image-based learning, raising questions about classroom adoption, cognitive load, and future AR device evolution.
2. A2 – AR Guide for Teachers (OER)
Link: https://sites.google.com/view/arguideforteachers/home
Developed a mobile-friendly AR teaching guide and rubric, offering educators practical criteria for assessing usability, learning value, and implementation challenges.
3. A3 – Future Mobile Intelligence: AI-Supported Display Glasses
Link: https://sites.google.com/view/sean-jeon-met/project-page/etec-523/a3
Explored how future display glasses with mobile intelligence could support real-time scaffolding, spatial learning, and ethical decision-making in future classrooms.
4. W2 Resource Mining – Axonify & Mobile LMS Systems
Connected mobile-first LMS design with microlearning and spaced repetition, highlighting how mobile platforms support employee and student learning habits.
5. W2 Activity – AI Note-Taking on Mobile Devices
Link: https://blogs.ubc.ca/etec523/2025/09/14/w2-activity-2-ai-note-taking-on-mobile-devices/
Analyzed the benefits and risks of AI-based note-taking tools, focusing on attention, behaviour change, and the role mobile intelligence plays in shaping learning habits.
6. W4 Post – AR Flashcards in Early Childhood Education
Link: https://blogs.ubc.ca/etec523/2025/09/27/w4-ar-flashcards-in-early-childhood-education/
Discussed how AR flashcards support early learners, connecting developmental needs with mobile usability, teacher workflow, and classroom practicality.
7. Comment – Minecraft Education: Gamified Learning
Link: https://blogs.ubc.ca/etec523/2025/09/26/minecraft-education-next-level-gamified-learning/
Provided feedback linking Minecraft Education to motivation, flow theory, and collaboration, emphasizing how mobile-friendly platforms enhance engagement.
8. Week 8 Post – Mobile Collaboration
Link: https://blogs.ubc.ca/etec523/2025/10/20/a2-mobile-collaboration-week-8/
Explored the opportunities and challenges of mobile-based collaboration, noting workload balance, device management, and peer coordination.
9. Comment – Mobile Learning Pulse & Big Data
Link: https://blogs.ubc.ca/etec523/2025/10/26/mobile-learning-pulse-mobile-learning-big-data/
Examined mobile analytics, learner data trails, and big-data ethics, highlighting concerns around privacy, consent, and behavioural nudging.
10. Comment – Smart Glasses in Inclusive Education
Link: https://blogs.ubc.ca/etec523/2025/11/22/a3-smart-glasses-in-inclusive-education/
Connected mobile AR and accessibility by discussing how smart glasses could support inclusive learning environments through adaptive guidance and multimodal cues.
Explored mobile AR and AI display glasses, shared original insights, and supported peers with consistent, constructive, theory-based contributions
When I entered ETEC 523, I carried one guiding question: How will new mobile AR devices—especially AI-supported display glasses—shape future classrooms, and how is Mobile AR being used in real learning spaces today? This question guided all of my work and helped establish a consistent presence throughout the course.
My A1 project on Blippar (Post 1) gave me a foundation in current Mobile AR capabilities. By analyzing how the platform uses image recognition and interactive overlays to support learning, I explored the "present tense" of mobile AR. This exploration continued through my W2 Resource Mining post (Post 4) and my analysis of AI note-taking apps (Post 5). These discussions helped me understand how mobile apps shape behaviour, motivation, and cognitive load, connecting directly to course concepts around mobile intelligence.
In A2, I shifted from exploration to practical design by creating the AR Guide for Teachers (Post 2). Building this OER helped me understand the real needs of educators who want to bring AR into the classroom—clear criteria, mobile-friendly tools, meaningful examples, and support for ease of use. My W4 AR flashcards response (Post 6) strengthened this understanding by connecting AR usability with early childhood cognitive needs and teacher workflow. Together, these posts demonstrated my commitment to grounding Mobile AR in real teaching practice.
As the course moved forward, I focused on constructive engagement with classmates. My comment on Minecraft Education (Post 7) connected game-based learning with flow, motivation, and collaboration. My discussion of mobile collaboration (Post 8) raised practical concerns about scheduling, device management, and group coordination—issues educators face every day. My comment on Mobile Learning Pulse and Big Data (Post 9) brought in ethical reflection by highlighting data trails, analytics, and privacy concerns connected to mobile learning environments.
My A3 project brought my guiding question full circle by exploring the future of mobile intelligence through AI-supported display glasses (Post 3). I imagined how spatial computing, adaptive feedback, and multimodal sensing could create new forms of learning support. This allowed me to bridge the gap between today's mobile AR practice and future educational possibilities. My comment on smart glasses in inclusive education (Post 10) extended this thinking by discussing how future devices can support diverse learners through adaptive guidance and accessibility-focused design.
Across the course, I aimed to contribute consistently, elevate discussions, and support peers through constructive responses. I connected theory with practice, explored mobile intelligence from multiple angles, and remained aligned with my original question about the present and future of AR-supported learning environments.
Based on the rubric—presence, original voice, constructive response, and demonstrated knowledge—I would place my overall contribution in the top 25% of the cohort.
This mind map created by google NotebookLM based on my A4 writing.