Personalized Learning Using AI — from datafloq.com by Dmitry Baraishuk

Excerpt:

Process of Implementing Personalized Learning Using AI

  • The system tested every learner using short quizzes and games. Then AI adapted the learning path to each learner’s knowledge of a topic based on the test results.
  • If a pilot struggled with a certain topic, the AI LMS repeated it by presenting the information in a new way.
  • After completing a section, every pilot was retested and progressed to the next module.

Personalized learning with AI encompasses all the core aspects of online training:

  • personalized learning path;
  • relevant content based on knowledge level, skills, interests, and goals;
  • automated knowledge checks;
  • prediction of knowledge gaps;
  • proactive learners’ support;
  • tutoring, etc.
 

The Story is in the Structure: A Multi-Case Study of Instructional Design Teams — from the Online Learning Consortium by Jason Drysdale (other articles here)

Excerpt:

Given the results of this study, it is recommended that institutions that are restructuring or building new instructional design teams implement centralized structures with academic reporting lines for their teams. The benefits of both centralization and academic reporting lines are clear: better advocacy and empowerment, better alignment with the pedagogical work of both designers and faculty, and less role misperception for instructional designers. Structuring these teams toward empowerment and better definitions of their roles as pedagogy experts may help them sustain their leadership on the initiatives they led, to great effect, during the COVID-19 pandemic. This study also revealed the importance of three additional structural elements: appropriate instructional design staffing for the size and scale of the institution, leadership experience with instructional design, and positional parity with faculty.

Also see:

A Practitioner's Guide to Instructional Design in Higher Education

 

Top 300 Tools for Learning 2021 [Hart]

Top 300 Tools for Learning 2021 — from toptools4learning.com by Jane Hart

Excerpt:

2021 was the YEAR OF DISRUPTION! There were a substantial number of new tools nominated this year so the main list has now been extended to 300 tools to accommodate them, and each of the 3 sub-lists has been increased to 150 tools. Although the top of this year’s list is relatively stable, there is quite bit of movement of tools on the rest of the list, and the effect of the new tools has been to push other established tools down – if not off the list altogether. Further analysis of the list appears in the right-hand column of the table below.

This table shows the overall rankings as well as the rankings on the 3 sub-lists: Top 150 Tools for Personal Learning (PL150), the Top 150 Tools for Workplace Learning (WL150) and the Top 150 Tools for Education (ED150). NEW tools are shaded YELLOW, tools coming BACK on the list are shaded GREEN. The most popular context in which each tool is used is also highlighted in BLUE.  Click on a tool name to find out more about it.

 


Top 300 Tools for Learning 2021 -- from Jane Hart


 

 

Scaling HyFlex for the Post-Pandemic Campus — from er.educause.edu by Jennifer Rider and Ayla Moore

Excerpt:

Setting up HyFlex courses on any campus requires thoughtful planning, careful analysis, continual assessment, and faculty support. But is HyFlex something that higher education institutions can and should permanently adopt in a post-pandemic world?

 

Fort Lewis College's USDA Grant Proposal

 

The Tomorrow Room on campus is a space where new technology will be showcased so that faculty can become familiar with the room design and technology before teaching in a HyFlex classroom.

 
 

10 Ways You Can Use Podcasts in Your Course to Engage Students — from barbihoneycutt.com by Barbi Honeycutt, Ph.D.

Excerpt:

Have you used podcasts in your courses yet? If not, you might want to consider it! Podcasts can be an excellent tool to add to your lesson to enhance a message, present more in-depth perspectives, and offer a different medium for students to engage with the course content.

And, podcasts are popular! There are more than 630,000 podcasts representing a variety of topics: current issues, education, writing, research, science, leadership, politics, management, business, skill development, hobbies, etc. The list just goes on and on.

I’m almost positive there is at least one episode in one podcast somewhere you could integrate into your course. And if there isn’t, then you and your students could create one!

 
 
 

Recording of “The Future of Education Collaborative for Higher Education” on 8/12/21 — this event was sponsored by Instructure and AWS

From DSC:
One of the most interesting items for me in this was to hear how one university is allowing students to drive the Request For Proposal (RFP) process – giving students much more VOICE. Staff and faculty are consultants but students have the final say! Wow! 

Also, I agree with the idea that the market will drive changes within higher education. But for that to occur more significantly:

  • Employers need to hire more people from a variety of backgrounds and that come into their interviews with a greater variety of credentials.
  • The accrediting agencies involved with higher ed are going to need to become more innovative and flexible.
  • And the elephant in the room for me is that faculty members are going to have to come to the realization that those organizations/courses of the future that will thrive and have the most impact will be much more team-based and will be based upon what the market needs (i.e., better alignment is needed between the corporate/business world and the world of higher education). For far too long, the faculty member has been the sole person at the table….the person holding the steering wheel…the person in control of everything that gets presented and how it gets presented….the person who decides what they want to teach (vs. what the market actually needs) and how they want to teach it.

Finally, I bet AWS and Zoom could have said a LOT more than they actually said.

#learningfromthelivingclassroom

 

“In person” classes offered in virtual reality — from zdnet.com by Greg Nichols; with thanks to Will Richardson for the resource
A virtual reality college campus welcomes students this fall.

Excerpt:

“With this cadaver lab, our pre-med students will no longer need to rely on other universities for advanced anatomy and biology classes,” said Dr. Shirley Brown, Dean of Fisk University. “Virtual reality technology takes our university to a level equal to the most advanced schools in the country.”

 
 

Thinking Full-Speed Ahead at Instructure’s Future of Education Collaborative — from campustechnology.com by Mary Grush
A Q&A with FIU Online’s Maikel Alendy

Excerpt:

Maikel Alendy: Our director of learning design and innovation at FIU Online, Gaby Alvarez, likes to use a word that I think was foundational to our strategy to navigate learning through the pandemic — that word is ecosystem.

Our approach, like many, was to leverage Canvas and Zoom, but we had a few processes in place that gave us really a big head start. First, we had piloted Zoom years before and had already rolled out Zoom Pro accounts for all FIU faculty and students. Of course, the initial adoption was nominal. Usage was fine for “BC” (Before COVID) instruction. Still, it was helpful, once in the pandemic, that we already had support materials and some awareness of the tools.

 

 

From DSC:
As I was traveling down one of the local roads the other day, the thought reoccurred to me …that driving along a road is such an apt metaphor for this idea of using the terms “learning objectives” and “learning outcomes.”

I’m going down the same road.

I can look ahead to see where I want to go. But that doesn’t mean that I’m for sure going to get there. That’s where I’m heading and I hope that I will get there, but several things will need to go right.

OR…I can look in the rearview mirror of my car and see where I’ve already been….what’s already taken place. I’ve already passed such and such a point (or points).

I can see where I've been by looking in the rearview mirror -- or I can look ahead to see what I'm traveling towards

That is, I can’t talk about learning outcomes if I’m just getting on the road. At that point, I can talk about where I hope to go (i.e., my learning objectives), but I can’t talk about my learning outcomes until I’ve been traveling for a while.

Where this gets muddy/tricky is when we discuss entire programs. Then the term “learning outcomes” is often used. I get that — it makes sense at that level of things. But if we are talking about an individual course as seen in Canvas, Moodle, Blackboard Learn, etc…then it makes more sense to me to continue to use the phrase “Learning Objectives.”

 

There’s a New Wave of AI Research Coming to Transform Education — from edsurge.com by Nadia Tamez-Robledo

Preparing for Students’ Second Act
With a focus on adult learners, the AI Institute for Adult Learning and Online Education, or ALOE, will look to improve online education for the more than 100 million American workers who will need to “reskill” over the next 10 years.

It will also learn from the massive amounts of data generated by online students that isn’t accessible in traditional in-person classes.

 

Intel expands AI education program to 18 total community colleges — from highereddive.com by Natalie Schwartz

Excerpt:

The technology giant is supplying curriculum and faculty development for participating schools, and is partnering with Dell to provide technical and infrastructure expertise for the program, which can lead to a certificate or associate degree.

The future of AI: Deeper insights, personalization and problem-solving stand to transform how we use AI across devices and industries — from protocol.com by Alex Katouzian

Excerpt:

What comes to mind when you think of AI? In the past, it might have been the Turing test, a sci-fi character or IBM’s Deep Blue-defeating chess champion Garry Kasparov. Today, instead of copying human intelligence, we’re seeing immense progress made in using AI to unobtrusively simplify and enrich our own intelligence and experiences. Natural language processing, modern encrypted security solutions, advanced perception and imaging capabilities, next-generation data management and logistics, and automotive assistance are some of the many ways AI is quietly yet unmistakably driving some of the latest advancements inside our phones, PCs, cars and other crucial 21st century devices. And the combination of 5G and AI is enabling a world with distributed intelligence where AI processing is happening on devices and in the cloud.

Latest Trends in Artificial Intelligence –from newark.com

Excerpt:

Over the past decade, Artificial Intelligence (AI) has meshed into various industries. The era witnessed a dramatic increase in tools, applications, and platforms based on AI and Machine Learning (ML). These technologies have impacted healthcare, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and several other areas.

Companies are investing in AI research to find out how they can bring AI closer to humans. By 2025 AI software revenues alone will reach above $100 billion globally (Figure 1). This means that we will continue seeing the advancement of AI and Machine Learning (ML)-related technology in foreseeable future. AI changes notably fast, so you’ll need to go out of your way to keep up with the latest trends if you want to stay as informed as possible. Let’s take a look at everything you need to know about the latest AI trends.

 

 
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