Serendipity35

You can find numerous articles online about how artificial intelligence (AI) tools and activities can create the "AI-augmented professor." I have seen fewer opinions on how non-teaching staff members who support the learning process at most universities will be affected.

Certainly, AI augmentation will also affect those who support faculty and students, such as instructional designers, researchers, administrators, and other nonteaching professionals.

I read a piece on insidehighered.com about this group and keyed in on instructional designers since that was my area. The article uses an awkward term - BYOAI Bring Your Own AI - for his group because of the hybrid nature of home and office work for this group. Of  course, many faculty are also hybrid now, teaching in a campus classroom as well as from their home or office online.

Instructional designers are already using generative AI tools to create graphics, images and audio segments for classes. New tools, such as OpenAI’s Sora can generate full-motion videos from prompts. Chatbots can write or revise content. It can produce a rough draft syllabus for a new course.

This is also something that should concern those people coming into higher ed (and secondary education too, though perhaps to a lesser degree currently). Citing a survey by Microsoft and LinkedIn, ZDNet reported that “AI skills are so much of a priority that the report suggests 66 percent of business leaders wouldn’t hire someone without AI skills, and 71 percent of leaders would prefer to hire a less experienced candidate with AI skills than a more experienced candidate without them.”

When I was studying to become a teacher in the 1970s, the only "apprenticeships" were my student teaching experiences. At Rutgers, I went into secondary classrooms in a limited way in my sophomore and junior years and did my "student teaching" every day for an entire 15-week semester as a senior.

You might associate apprenticeships as a way of enabling students to learn by doing, but it is often used with vocational training where a more experienced tradesman or journeyman models behavior and provides feedback when the student attempts what was shown.

A teaching apprenticeship is a program that allows prospective teachers to work in schools while earning a paycheck and getting training. Apprenticeships are paid programs that can last one to three years. They offer on-the-job learning, mentorship, and a postgraduate-level qualification without tuition fees.

Alternate route programs for teachers are designed for people who want to become certified teachers but have not completed a formal teacher preparation program at an accredited college or university.

Where I live in New Jersey, the Alternate Route Teaching Certificate Program is a two-year program that includes 400 hours (24 credits) of education courses. The program is also known as the Provisional Teacher Process (PTP). The program is designed for people who have earned an Instructional Certificate of Eligibility (CE) and have been provisionally hired by a New Jersey public school district. Alternate route teachers earn a Certificate of Eligibility (CE). 

The program accommodates student schedules as they teach in a full-time teaching position simultaneously while completing required coursework. To pursue an alternative teaching program, you typically need to possess a bachelor's degree at minimum.

An article on The Future of Teaching Apprenticeships, discusses how apprenticeships provide an innovative way for educators to experience real-life challenges and hone their professional skills. They allow aspiring educators to gain hands-on experience, mentorship, and practice in actual classrooms.

Educator apprenticeships strongly emphasize mentorship, pairing novices with experienced educators who serve as their guides throughout the program. Unfortunately, there are few programs like this for higher education teachers.

This mentor-mentee relationship allows apprentices to benefit from the wisdom and expertise of seasoned professionals while also receiving ongoing support, constructive feedback, and opportunities to reflect on teaching practices. The mentor model is not new and is cited as a best practice, according to the Educator Prep Lab at the Learning Policy Institute, and is backed by a rich evidence base that prioritizes educator retention in the profession and other similar factors championed by teacher residency programs. 

 

When I was studying to be a secondary school teacher, Bloom’s Taxonomy often came up in my classes as a way to do lesson planning and a way to assess learners. Recently, there have been several revisions to its pyramid stack. An article on www.gettingsmart.com suggests a spiral might be better, particularly if you want to use it as a lens to view AI.

The author, Vriti Saraf, opines that the most important potential of AI isn’t to enhance human productivity, it’s to enhance and support human thinking, and that looking at AI’s capabilities through the lens of Bloom’s Taxonomy showcases the possible interplay of humans and machines.

It is an interesting idea. Take a look.

 

 

2023 was certainly a year for AI. In education, some teachers avoided it and some embraced it, perhaps reluctantly at first. Some educators have reacted, partially to AI that can write essays Some schools, some teachers, some school districts some colleges some departments have tried to ban it issues. Of course, that is impossible, just as it was impossible to ban the use of Wikipedia or going back to the previous century, the use of a word processor, or a calculator in a math class, or use the Internet to copy and paste information.

What happened when an entire class of college students were told to use ChatGPT to write their essays?

Chris Howell, an adjunct assistant professor of religious studies at Elon University, noticed more and more suspiciously chatbot-esque prose popping up in student papers. So rather than trying to police the tech, he embraced it. He assigned students to generate an essay entirely with ChatGPT and then critique it themselves.

When I first caught students attempting to use ChatGPT to write their essays, it felt like an inevitability. My initial reaction was frustration and irritation—not to mention gloom and doom about the slow collapse of higher education—and I suspect most educators feel the same way. But as I thought about how to respond, I realized there could be a teaching opportunity. Many of these essays used sources incorrectly, either quoting from books that did not exist or misrepresenting those that did. When students were starting to use ChatGPT, they seemed to have no idea that it could be wrong.

I decided to have each student in my religion studies class at Elon University use ChatGPT to generate an essay based on a prompt I gave them and then “grade” it. I had anticipated that many of the essays would have errors, but I did not expect that all of them would. Many students expressed shock and dismay upon learning the AI could fabricate bogus information, including page numbers for nonexistent books and articles. Some were confused, simultaneously awed and disappointed. Others expressed concern about the way overreliance on such technology could induce laziness or spur disinformation and fake news. Closer to the bone were fears that this technology could take people’s jobs. Students were alarmed that major tech companies had pushed out AI technology without ensuring that the general population understands its drawbacks.

The assignment satisfied my goal, which was to teach them that ChatGPT is neither a functional search engine nor an infallible writing tool.

Source  wired.com/story/dont-want-students-to-rely-on-chatgpt-have-them-use-it/