jobtensor.com/uk <– an AI job board from the UK — with thanks to Dr. Jakob Sidoruk for this resource.

From DSC:
Jakob mentioned that Jobtensor has built a tool for jobs in tech, science and engineering and that the goal of this tool is to make job searches more fun and efficient for job seekers. I’m glad to see this from the other side of the table. That is, there have been plenty Applicant Tracking Systems (ATSs) out there that have essentially weeded people out time and again — while making many job searches long, expensive, and emotionally draining. 

jobtensor.com/uk -- an AI job board from the UK

jobtensor.com/uk -- an AI job board from the UK


From DSC:
It is exactly this kind of tool that could — and should — be integrated into a next-generation learning platform. Have an AI-enabled system of identifying the most current needs out in the workplace. Provide a mechanism/listing of those needs along with the existing courses, streams of content, podcasts, and more that could help someone learn those skills.

Learning from the living class room

streams of content are ever flowing by -- we need to tap into them and contribute to them


 

Higher Education Needs to Move Toward Mass-Personalization — from fierceeducation.com by Susan Fourtané

Excerpt:

Every industry, from health sciences to marketing to manufacturing, is using Artificial Intelligence (AI) to facilitate the delivery of mass-personalization, yet education has been slow in its adoption. These smart systems create personalized solutions targeted to meet the unique needs of every individual.

Artificial Intelligence-based technologies have the potential of serving as tools for educators to provide personalized learning. However, for mass-personalization to work, institutions first need to align their leadership. In his feature session What Is It Going to Take to Move from Mass-Production to Mass-Personalization?, during the recent Online Learning Consortium virtual event, Dale Johnson, Director of Digital Innovation at Arizona State University, addressed the issue of mass personalization in higher education.

Johnson reinforced the idea that with mass-personalization professors can deliver the right lesson to the right student at the right time.

Mass-personalization software does not replace the professor. It makes the professor better, more focused on the students.

 

OPINION: Meet certificates and “microcredentials” — they could be the future of higher education — from hechingerreport.org by Arthur Levine and Scott Van Pelt
In years to come, they will become prevalent — and possibly preferred — to college degrees

Excerpt:

What is new is that we are calling them badges and microcredentials and using them primarily to certify specific skills, such as cross-cultural competency, welding and conversational Spanish.

So what are they? Microcredentials are certifications of mastery; badges verify the attainment of specific competencies.

No matter what we are calling them, they may be here to stay.

We now live in a time that is more open to rethinking college and university credentials. We are witnessing experimentation with competency-based education, through which students earn credits by demonstrating skills instead of spending time in courses. We are also seeing discussion of free or reduced tuition, along with subscription pricing that lets students take as many courses as they like for one low cost.

Also see:

Can an AI tutor teach your child to read? — from hechingerreport.org by Jackie Mader
Some AI reading programs are boosting early literacy skills

Excerpt:

Artificial intelligence has been used for years in education to monitor teaching quality, teach classes, grade assignments and tailor instruction to student ability levels. Now, a small but growing number of programs are attempting to use AI to target reading achievement in the early years — a longstanding struggle for America’s schools.

 
 

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.
 

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

 

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.

 

What doors does this type of real-time translation feature open up for learning? [Christian]

From DSC:
For that matter, what does it open up for #JusticeTech? #Legaltech? #A2J? #Telehealth?

 

Learning from the living class room

 
 

Learning technology lessons from the front lines — from chieflearningofficer.com by Neda Schlictman
Deloitte’s accelerated rollout of its global LXP during the initial onslaught of the pandemic yielded many lessons for the organization. Following are insights for those who are seeking what’s next for their learning strategies.

Excerpt (emphasis DSC):

More than 330,000 people at Deloitte, across 170 countries, have access to Cura, which aggregates learning content from both internal and external sources and personalizes learning based on the user’s defined skills and interests. Cura enables individual discovery of learning but also allows users to follow prescribed pathways as well as the opportunity to create content.

A cloud-based learner profile may definitely be part of our future learning ecosystems!

 

Per Elnaz Sarraf (She/Her), Chief Evangelist at ROYBI Robot:

ROYBI INC, the creator of the award-winning ROYBI Robot, announced today that it was named the winner of the World Economic Forum Smart Toy Awards 2021 in the category of Smart Companion. This is a remarkable achievement!

ROYBI won one of the Smart Toy Awards as presented by the World Economic Forum

The category winner had to meet four important criteria:

  1. Data Privacy & Cybersecurity
  2. Accessibility
  3. Innovative Use of AI Transparency
  4. Healthy Play in Childhood Development.

According to the World Economic Forum representative, Seth Bergeson, our ROYBI Robot met and exceeded these important criteria. ROYBI’s award acceptance ceremony can be watched here.


Also see:

ROYBI provides a sophisticated 1-on-1 private tutoring experience using artificial intelligence. ROYBI Robot introduces kids to technology, math, science, and language arts.

 

States and School Systems Can Act Now to Dismantle Silos Between High School, College, and Career — from crpe.org by Georgia Heyward, Sarah McCann, & Betheny Gross | May 2021

We offer four ways states can engage K–12:

  • Invest in virtual platforms that support college and career navigation.
  • Incentivize bold experimentation with hybrid learning to design new models that blend school and workplace learning or connect with postsecondary microcredentials.
  • Step in to encourage and regulate high-quality, postsecondary microcredentials that stack toward associate and bachelor degrees.
  • Combine policy with technical assistance to help districts credit out-of-school learning.
 

AI in education: Features already adopted by companies, universities, and schools — from belitsoft.com by Dmitry Baraishuk

Excerpt:

AI use cases in education include such kinds of applications as: Artificial Intelligence in training, learning and development, AI in higher education and Artificial Intelligence in K-12 education. We’ve gathered and outlined real-life examples of AI in education for each of these three application areas. If you’re an L&D or HR pro, you will find insightful the section “AI in talent management and in Learning and development.” College and university leaders will discover helpful tools to significantly improve their educational process in the section “AI in Higher Education.” For school leaders, we’ve prepared the section “Artificial intelligence in K-12 education.”

Screenshot of a software app showing what an interface might look like for creating a personalized learning journey for someone. You can select from industries, roles, employees, and more.

This screenshot of an app shows what type of skills-related information could be earned, tracked, gathered and displayed.

Addendum on 4/23/21:

 

New Opportunities in 2021: Improved Academic Mobility, Flexible Degree Attainment and Skills Verification — from campustechnology.com by Stan Novak
The pandemic has accelerated trends in alternative credentials that will be essential to student success in an evolving higher education landscape.

Excerpt:

Interoperable learning records (ILRs) are being studied as an achievable way to communicate skills between workers, employers, and education and training institutions with the goal of creating a single profile that represents all of an individual’s abilities. The value of an ILR is that it would allow efficient and consistent comparison of a person’s capabilities to fulfill specific job requirements.

These opportunities represent only a slice of what lies ahead for higher education as the world emerges from the pandemic. The dramatic shift in the learning landscape highlights the ways that higher education must adapt to make degree attainment more flexible, achievable and relevant for the future workforce. 

From DSC:
I’ve often thought there could be real benefits in cloud-based learner profiles — which could store our learning preferences, our past learning experiences, certificates, programs, courses, etc.

 

Never Going Back: What Online Teaching in the Times of COVID Can Add to Our Teaching Toolkits – Elisabeth Sandberg — from cft.vanderbilt.edu with thanks to Beckie Supiano at the Chronicle for this resource

Excerpt:

Teaching online has not been all challenges for Sandberg. From this period of teaching, she has gathered a set of experiences that, she expects, will benefit her in an in-person setting, too. For one thing, Sandberg has explored new ways of optimizing the element of time in students’ learning. Realizing that even the most entertaining presenters become soon-to-bore lecturers in online settings, she became more attentive to keeping her prerecorded video lectures brief and dividing them into pieces interwoven with online activities. The Explain Everything app (a collaborative virtual whiteboard platform with multi-media features) has been helpful for annotating these short pieces of recorded lectures. Sandberg’s renewed attention to student attention has also made her more mindful of things she assigns out of class, and what these might represent in terms of student efforts. “I learned over the summer,” she said, referring to the CFT’s Online Course Design Institute, “how to be more cognizant of how much time the things that I consider easy work really take the students. And that was really a revealing piece that I will carry with me when we return to in person.”

 


From DSC:
I agree…the teaching toolboxes have expanded. In the future, teachers, professors, trainers, (and now parents) will have a wider selection of options/tools/pedagogies to select from.

Whats in your teaching toolbox?

 
© 2025 | Daniel Christian