Week 10 – AI in Education: Forecast 2020

Thank you AI team for the informative and well-organized opportunity forecast. I really appreciated the executive summary at the beginning, as it gives you an idea of what is contained in the website and allows you to decide which sections to focus on. I also thought you did a great job refining your topic and selecting your resources. It was the perfect amount of information. One thing I think cannot be understanding in the discussion on AI/Machine Learning is the ethics. While the OER covered some of the ethical debates, I think it would have been nice to develop it further and consider ethics in the case of adaptive learning.

Thank you for such a well-designed and articulate OER. I very much appreciated your thoughtful selection of survey questions as they really forced me to reflect on all that I'd read and examine how I can imagine using these technologies in the future. I just wanted to note that you used the phrase "logarithmic bias" but I think you meant "algorithmic" instead (?). Also, a suggestion for improvement - the section "HOW CAN AI HELP YOU THE MOST? - A TEACHER'S PERSPECTIVE" really only seemed to focus on automation of administrative tasks and not much else. It seemed to simplify AI to just identifying trends in homework completion and absences, and missed the more powerful aspects of AI that your prediction focused on later on the same page. I would consider changing that section in some form. If not, maybe at least including the credentials of the person who provided the quotes. Now that you have perspectives from your classmates, you could use our responses to populate that section? Again, thanks. You did a fantastic job and I appreciate the strong effort.

Great job AI team! I couldn’t agree more with you that machine learning-based adaptive learning systems represent a key part of the most effective and impactful type of AI for education. There’s a lot that AI could do to enhance teaching and learning. An important factor that boosts a student’s motivation and engagement is receiving personalized and constructive feedback in a timely manner. Student’s emotional state is an important factor that affects motivation and engagement in learning. AI adaptive learning machines that would provide students with personalized feedback would provide teachers with more instructional time to devote to students with advanced or special needs.

Excellent and very "clean" OER this week! I really like this set up and the content you have used. Also the questions (well done) are a great and constrictive way to test knowledge. I really enjoyed this one. Thank you!!

I'm a little late to the party here so everything I would have liked to comment on was already said! I'll admit my perception of AI has always been a little something like this (https://www.youtube.com/watch?v=Sq36J9pNaEo), but I can now appreciate a more in-depth understanding, especially of the implications for education. One thing I did note was that in the AI in education part 2 exit quiz, the question "Which of the following are examples of Artificial Intelligence in action? Select all that apply" I had chosen "Hey Siri!" and "Tesla self driving car" and was marked incorrect. The feedback that I got was "Feedback While some sophisticated grammar and translation apps do use AI to interpret meaning from context, basic spell check is just a software feature that compares words to a dictionary." I'm not sure if this was a mistake or if email spam filter was also an answer that I just didn't select. Anyways, thank you for a great OER! Cheers.

Fabulous work, Team AI! I really appreciated how you made a complex topic very accessible. Your Intro was particularly effective in terms of leading us through the learning. I also benefitted greatly from your design that ensured smartphone capabilities. As I am travelling, that made participation much easier!

GREETINGS COLLEAGUES! For those of you like Ram and Manize who are interested in the details of PERSONALIZED LEARNING and ADAPTIVE LEARNING, I just found this article from last Fall that you might enjoy. It's based on a survey of almost 600 teachers in the USA. It's behind a paywall, so I'm linking to my Evernote copy: From EdWeek.org - "Data: Here's What Educators Think About Personalized Learning" [ https://www.evernote.com/l/AJ9AIF2PtJlJ5IFAxAzzVWxjh15AWT_0CpQ/ ]

Hi Team AI! Congratulations! This is a fantastic OER on AI. I took a particularly keen interest in your OER and was very much engaged throughout as I also have an interest in personalized learning and adaptive learning and Intelligent Tutoring Systems (ITS). I think your prediction for “combining advanced online adaptive learning systems with in-person active learning classes” is right on target as this is conclusion from my research also. The criticism of Summit https://personalizedlearning2020.weebly.com/personalized-learning.html is that for personalized learning to work, which includes adaptive learning systems, it must be in conjunction with classroom teachers. Thank you for a well-designed, nicely laid out and very informative OER. Well done.

Hi AI Team. Thank you for creating this presentation--it was organized, precise and very relevant. I especially found the section on Adaptive Redesign 2.0 to be particularly helpful. It was interesting to note how Adaptive Learning was linked to the lower levels of Bloom's Taxonomy, while the higher levels were in the scope for Active Learning.

I had a few comments for feedback, but between Cass, Aziza, and Carla's comments they were all covered....so I gave them all a thumbs up which for now is my way of saying, "Ditto"! Very well done, very clean presenation, very informative. A little more info on $$ would have been interesting/useful....is the only comment of Aziza's that I would for sure reiterate. Thanks! Great work!