Serendipity35 - MOOC

Podcasting and iTunes U

ronkowitz@gmail.com (Kenneth Ronkowitz) — Fri, 29 Aug 2025 10:06:00 +0000

Podcasts at Apple are turning 20 years old, but Apple officially discontinued iTunes U at the end of 2021. The platform, which launched in 2007, was designed to help educators distribute lectures, assignments, and other learning materials through the iTunes ecosystem. It was especially popular with universities and K–12 institutions - for a time.

As Apple shifted its focus to newer tools like Classroom and Schoolwork, which offer more interactive and integrated experiences for iPads and Macs, iTunes U gradually became outdated. Apple announced the phase-out in 2020, giving educators time to transition to an alternative platform. That was partially why there was a temporary bump up in schools participating in MOOCs.

I was at NJIT 20 years ago and spearheaded the university's inclusion in the initial "sweet 16" schools in iTunes U. It was important in its time, and I would update the new schools as they were added. I was disappointed in Apple's lack of support for the academic version of podcasting and was further disappointed when they dropped it after 14 years, but it had been losing its lustre. iTunesU (and iTunes itself) didn't really move forward, and the newer apps for educators allowed us to guide students through lessons in real time, share assignments, and track progress more efficiently.

I searched for some of those old Serendipity35 iTunes U posts. Very nostalgic in 2025.

These are some of the general online learning platforms where some of that content was repurposed.
Khan Academy – Free, nonprofit platform offering lessons in math, science, economics, and more. Great for K–12 and beyond.
Coursera – Offers courses from top universities like Stanford and Yale. Many are free to audit, with paid certificates available2.
Udemy – A massive marketplace for courses on everything from coding to photography. Often discounted and self-paced.
FutureLearn – UK-based platform with university-led courses and microcredentials.
Institutional Tools
Canvas LMS and Blackboard Learn – Widely used by schools and universities for managing coursework, assignments, and communication.
Moodle – Open-source learning management system used by many institutions worldwide.
Open Educational Resources
Wikiversity and Wikibooks – Free educational content created and curated by volunteers. Great for self-learners.
Classroom & Student Engagement
ClassDojo – Focuses on classroom behavior and communication, especially for younger students.
Remind - Helps teachers communicate with students and parents via messaging.
Lumio – Turns lessons into interactive, collaborative experiences.

Closing the Classroom Door on 2024

ronkowitz@gmail.com (Kenneth Ronkowitz) — Fri, 27 Dec 2024 08:08:00 +0000

The biggest EdTech stories of 2024 seemed to all revolve around the widespread adoption of artificial intelligence.

This use of AI in education can range from fears of students using AI to "cheat," to AI-powered personalized learning. Platforms using AI to tailor learning paths to individual student needs, and providing real-time feedback and then adapting content based on progress is an AI path that most educators would welcome.

I also saw some increasing interest in skills-based training and upskilling platforms.

A positive trend is the increased accessibility to education through immersive technologies like VR/AR. I also saw positive potential with platforms addressing mental health and wellbeing within the learning environment.

Students of all ages and levels continue to acquire formal AI skills & training online: Students and workers might say they use AI in their work, but it is less likely that a person is certified in AI use in some way. (More on that in my next post.).

AI in Online Learning

ronkowitz@gmail.com (Kenneth Ronkowitz) — Wed, 07 Aug 2024 15:16:00 +0000

.Coursera’s CEO, Jeff Maggioncalda, says leveraging AI in online learning is key to a more accessible, flexible education experience. Coursera is a major platform for free and paid, non-credit and credit learning opportunities. Remember MOOCs? The term isn't in as wide usage as it was a decade ago but Coursera was an early serious player in that space and still offers short-form training and master’s degrees from Ivy League institutions like the University of Pennsylvania.

While many in education have been worrying about how AI is and will impact teaching and learning, online providers and course designers have been more likely to embrace AI tools.

Generative AI is good at language translations and Coursera who now has 4,200 courses translated into 17 languages as AI has made the translations easier and more affordable. They have also experimented with using AI for a personalized learning companion (chatbot) named Coach where students can ask for help on a concept, to create practice problems, or summarize activities. It won’t give users the answer, especially during testing.

For course designers, it can create outlines, write learning objectives, and compile lessons into new courses.

Coursera works with partners who can make content available for free.

So You Want To Be An AI Prompt Engineer

ronkowitz@gmail.com (Kenneth Ronkowitz) — Tue, 21 May 2024 09:51:00 +0000

When I was teaching in a high school, I used to tell students (and faculty) that we were not preparing them for jobs. I was sure many of our students would end up in jobs with titles that did not exist then. There is a song by The Byrds from the 1960s titled "So You Wanna Be a Rock 'n' Roll Star." In 2024, it could be "So You Want To Be An AI Prompt Engineer."

The role of AI prompt engineer attracted attention for its high-six-figure salaries when it emerged in early 2023. What does this job entail? The principal aim is to help a company integrate AI into its operations. Some people describe the job as more prompter than engineer.

There are already tools that work with apps like OpenAI’s ChatGPT platform that can automate the writing process using sets of built-in prompts. Does that mean that AI will replace AI prompt engineers already? For now, the prompter works to ensure that users get the desired results. They might also be the instructors for other employees on how to use generative AI tools. They become the AI support team. AI can automate "trivial" tasks and make more time for work that requires creative thinking.

What kind of training leads to getting this job? You might think a background in computer science, but probably a strong language and writing ability is more important. People who write in the corporate world might justifiably fear AI will take their jobs away. Being a prompter might be an alternative.

Still, I suspect that there is a good possibility that a prompter/engineer's job might be vulnerable as software becomes better at understanding users’ prompts.

If you are interested in being an AI prompt engineer, I posted last week about some free online courses offered by universities and tech companies that included three courses that relate to creating prompts for AI.

AI Applications and Prompt Engineering is an edX introductory course on prompt engineering that starts with the basics and ends with creating your applications.

Prompt Engineering for ChatGPT is a specific 6-module course from Vanderbilt University (through Coursera) that offers beginners a starting point for writing better prompts.

Another course on ChatGPT Prompt Engineering for Developers is offered by OpenAI in collab with DeepLearning and it is taught by Isa Fulford and Andrew Ng. It covers best practices and includes hands-on practice.

Learning AI - Free College-Level Courses

ronkowitz@gmail.com (Kenneth Ronkowitz) — Mon, 13 May 2024 16:30:00 +0000

If you are interested in taking some free AI courses offered by Google, Harvard, and others, here are 8 you might consider on a variety of approaches. For Coursera courses without the trial, go to the course you want to take and click 'Enroll for free', then 'Audit the course'. You'll need to create an account to take courses, but won't need to pay anything.

Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having an understanding of AI as a whole. https://lnkd.in/eW5k4DVz

Microsoft offers an AI course that covers the basics and more. Start with an introduction and continue learning about neural networks and deep learning. https://lnkd.in/eKJ9qmEQ

Introduction to AI with Python from Harvard University (edX) is a full 7-week course to explore the concepts and algorithms of AI. It starts with the technologies behind AI and ends with knowledge of AI principles and machine learning libraries. https://lnkd.in/g4Sbb3nQ

LLMOps are Large Language Model Ops offered by Google Cloud in collaboration with DeepLearning. Taught by Erwin Huizenga, it goes through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM.

Big Data, Artificial Intelligence, and Ethics is a 4-module course offered by Coursera from the University of California - Davis that covers big data and introduces IBM's Watson as well as learning about big data opportunities and knowing the limitations of AI. I think the inclusion of ethics is an important element.

AI Applications and Prompt Engineering is an edX introductory course on prompt engineering that starts with the basics and ends with creating your applications.

Prompt Engineering for ChatGPT is a specific 6-module course from Vanderbilt University (through Coursera) that offers beginners a starting point for writing better prompts.

Push and Pull Learning

ronkowitz@gmail.com (Kenneth Ronkowitz) — Fri, 04 Aug 2023 08:11:00 +0000

Recently, a former colleague asked me what I thought about push versus pull learning. I knew the terms more from social media marketing but hadn't really used them in learning situations. In marketing, examples include whether to decide to subscribe to a newsletter by email or snail mail (you pull that information by choice) or a newsletter that comes to you automatically (it is pushed at you).

In general, I think people prefer to pull (choice) over having it pushed at them. Companies might prefer to push, but that probably comes with the option to stop that push (unsubscribe.)

Moving these approaches - or just the terms - to education makes some sense.

In a push approach, teachers decide on the information, approach, delivery method, and speed of delivery. It is how education has been done for centuries. It tends to start with what Bloom and his taxonomy would categorize as knowledge-level remember and understand questions. These would build toward more critical and creative thinking. With pull, students enter into creating, evaluating and analyzing that requires them to seek knowledge and understanding.

This conventional classroom-styled learning is not the only approach in the 21st century. Pull learning allows learners to access information at the point of need, the way they prefer (in some settings) at the speed they find comfortable. I think that the initial surge of MOOCs back in 2012 is a good example of learning that learners pulled as needed.

Pull puts learners more in control It flips the teacher-centered learning setting. However, we must acknowledge that learning in school at all levels is still very much push learning. Fortunately, the idea that students should be able to pull some learning as they feel they need it is gaining more acceptance and is being incorporated in instructional design planning.

Currently, pull learning experiences are probably best suited to workers who have learning needs based on job roles, personal knowledge, and advancing their career interests.

Ideally, learning is "push-pull" with appropriate information provided by a push and additional information required to complete tasks and goals pulled as needed. This is not really a new approach. When you were a student, you were certainly pushed information, but you might well have gone beyond what was provided and pulled additional information that you felt you needed.

MORE
https://www.responsiveinboundmarketing.com/blog/the-difference-between-push-and-pull-learning

https://www.teachthought.com/education/push-teaching-vs-pull-teaching-thinking/

https://barkleypd.com/blog/pushing-or-pulling/

Machine Learning MOOC Updated

ronkowitz@gmail.com (Kenneth Ronkowitz) — Thu, 14 Jul 2022 11:05:00 +0000

Photo by Christina Morillo

Andrew Ng's Machine Learning course on Coursera has been revamped and updated and it is getting good student ratings.

There are fewer online courses that I consider to be true MOOCs now. Massive is small. Open is more closed. But the "OC" portion remains for many. The three courses that make up the Machine Learning Specialization offered by DeepLearning.AI and Stanford on the Coursera platform still fit the MOOC definition more closely.

You can earn a certificate at the end, and enjoy the full experiences including quizzes and assignments if you enroll and pay a monthly subscription but the courses are free (Open) to audit and view the course materials. The Massive in this course is massive with over 20,000 students enrolled.

Andrew Ng is the co-founder of Coursera and was the founding lead of Google’s Brain Project, and served as Chief Scientist at Baidu. He then did two artificial intelligence startups - Deeplearning.ai (a training company founded in 2017) and Landing.ai (for transforming enterprises with AI). He remains an adjunct professor at Stanford University. His course on Machine Learning was one of the very first courses from Coursera when it first launched in 2012. I audited the course that year though I knew the content was way above my abilitiees but I was curious as to the structure of the course from a design perspective.

At that time, Machine Learning was a new concept and was close to applied statistics. Ng goes way back because his Stanford lectures were on YouTube in 2008 and got 200,000 views. Then, he converted them to an online format in Fall 2011 and they were offered for free. He had 104,000 students and 13,000 of them gained certificates.

On the tech side, this updated version:
uses Python rather than Octave
expanded list of topics including modern deep learning algorithms, decision trees, and tools such as TensorFlow
new ungraded code notebooks with sample code and interactive graphs to help you visualize what an algorithm is doing
programming exercises
practical advice section on applying machine learning based on best practices from the last decade

Online Learning Has Its Advantages

ronkowitz@gmail.com (Kenneth Ronkowitz) — Mon, 05 Oct 2020 10:05:00 +0000

Image: pxhere

It is unfortunate that the emergency move to online classes in March 2020 is often being seen as the definition of online learning. This is especially true for administrators, faculty, students. parents and the general public who had no experience with it previously. I would say that what is being offered this fall should be of a higher quality if schools used the spring experience and a summer of planning to prepare for the possibility of being fully online again. perhaps the perceptions of spring will be improved.

In a journal article that I am working on now, I say something that may not be supported by research but is supported by every faculty member I have talked to for the article: It is easier to move a good online course to a face-to-face (F2F) format than it is is to take a good F2F course and put it online. Many articles have appeared this year saying that the elements of a good online course are essentially the same as a good F2F course.

For example, if I am designing a brand new online course, I will be including all the "handouts" I would use in-person but also ones I wouldn't have included in creating a new F2F course. For example, in-person I might take 15 minutes to explain to students an upcoming assignment. For the online version, I will need that explanation in a document or as an audio/video file. If my online course is ever used to teach F2F having that explanatory document or video available for students who want to review it again after class and especially for students who missed the class session would be very useful. For the online version, I will need to create "lectures" that are chunked into smaller segments. For he F2F class, I might use those mini-lectures to flip the classroom as before class "reading" assignments. For the online course, might even rethink my entire approach to lectures.

One thing we learned from the rise of MOOCs was that there were a lot of people who wanted to learn but had no interest in credits or a degree. They took courses to learn what they wanted to learn and most of the time were not even interested in using all of the course or "finishing" the course as we would expect in traditional courses or training. This was initially the biggest criticism of MOOCs - students did not complete the course - but we came to see that completion was not an objective for most of these learners.

Skills and career advancement are the primary motives for many nontraditional learners, and online courses allowed that with a number of advantages. While in some jobs an additional degree or a certificate can mean advancement in salary and position, you can also "move up" by acquiring new skills. Online courses, degrees and certificates allow learners to continue working while they study.

Pre-pandemic, Santa Clara University surveyed hundreds of distance learners about how online learning impacted them and more than 50% of respondents recognized and appreciated the benefits of online classes.

Traditional and non-traditional learners can take online classes and the advantages apply to all. Some of the most often mentioned advantages are:
- flexibility in scheduling (most of my online graduate students have been working full- or part-time)
- lower costs
- options for preferred learning spaces
- options to take courses from other campuses or institutions
- self-paced learning
- technology and other skills learned by being an online learner

Flexibilty includes MOOCs and other offerings that allow those seeking a degree, credit, a certificate or skills advancement to start a course immediately. Even traditional programs with a 16-week structure might also offer accelerated eight-week courses. This accelerated course should have the same academic requirements and only works well for learners with no significant work or family obligations. They are sometimes offered in "intersessions" between semesters when students may be taking only one or two courses.

Some terms that have become much more familiar this year in the online learning experience are asynchronous, synchronous, hybrid, and HyFlex. Asynchronous refers to a fully-online course that does not hold scheduled meetings and students complete work at convenient times but must still have assignment deadlines. Synchronous courses, like on-campus courses, have set meeting times where the instructor conduct classes using a video conferencing service. Hybrid courses offer a combination. A course might meet once a week synchronously (on-campus or online) and the rest of the time asynchronously online. A fully HyFlex course (AKA converged learning) offers the option of F2F attendance as well as a synchronous offering of that live class session and a recorded version that can be used asynchronously.

Although most online courses run asynchronously in order to provide maximum scheduling flexibility, some also offer or require learners to participate synchronously at set times or meet with an instructor during virtual office hours. This year, I am seeing more schools offer the options of hybrid or HyFlex courses that combine online and F2F which can increase or decrease the flexibility of being fully online.

There can be cost advantages with taking online classes. The caveat to this is that in most of higher education, online learners pay the same per-credit tuition rate as on-campus learners. There are exceptions with MOOCs, certificates, and a few fully-online degree programs. An overlooked cost advantage is that the fully online student saves on not needing campus housing or meal plans and on commuting and parking costs.

Students can also save money by using cheaper digital textbooks. But the real saving there occurs when faculty embrace using Open Textbooks (generally available for free) and other open resources. I have found that faculty in designing online courses are much more likely to consider those resources than F2F instructors.

The learning space for the online student can be their dining room table, home office, work office during lunch, a local library, a coffee shop, or a park on a nice day. "Learning styles" may have fallen out of favor but clearly each of us have ways of learning and settings where we learn best. I write notes, drafts, and final versions directly on my laptop. My wife likes to spread out paper notes and references on a big table and work on her tablet.

One of the big attractions to MOOCs was that it allowed you to take courses from anywhere in the world. A student at a small community college could take a course in artificial intelligence offered by Stanford - an opportunity never available before. I took about a dozen free courses online back in 2012 when the MOOC was a hot topic even though I have no need or desire to acquire additional certifications or degrees. I took them from elite universities in the U.S. and beyond that I never had the opportunity to even consider for my own degrees.

Not having to be restricted by geographic location means attending an elite school or finding the best professor for a subject doesn't require relocating and possibly (in the MOOC option) not paying any tuition.

Anyone who has taught or learned online has probably discovered that they have learned technical skills that were not part of the formal course curriculum. Many of these skills will be needed in jobs, such as learning new software suites, doing research online, communicating by using discussion boards, and teleconferencing.

The advantages of online learning are real. They are best appreciated when the instructor learner has made the choice to learn online. That was not the situation in March of this year, but hopefully, it has led schools, faculty, and students to learn by necessity how to learn more effectively in the online world.

Will education after 2020 be "forever changed"? I doubt it. The pandemic may have been a seismic event, but moving the tectonic plates of education is very difficult.