Serendipity35

I see articles and posts about artificial intelligence every day. I have written here about it a lot in the past year. You cannot escape the topic of AI even if you are not involved in education, technology or computer science. It is simply part of the culture and the media today. I see articles about how AI is being used to translate ancient texts at a speed and accuracy that is simply not possible with humans. I also see articles about companies now creating AI software for warfare. The former is a definite plus, but the latter is a good example of why there is so much fear about AI - justifiably so, I believe.

Many educators seem to have had the initial reaction to the generative chatbots that became accessible to the public late last year and were being used by students to write essays and research papers. This spread through K-12 and into colleges and even into academic papers being written by faculty.

A chatbot powered by reams of data from the internet has passed exams at a U.S. law school after writing essays on topics ranging from constitutional law to taxation and torts. Jonathan Choi, a professor at Minnesota University Law School, gave ChatGPT the same test faced by students, consisting of 95 multiple-choice questions and 12 essay questions. In a white paper titled "ChatGPT goes to law school," he and his coauthors reported that the bot scored a C+ overall.

ChatGPT, from the U.S. company OpenAI, got most of the initial attention in the early part of 2023. They received a massive injection of cash from Microsoft. In the second half of this year, we have seen many other AI chatbot players, including Microsoft and Google who incorporated it into their search engines. OpenAI predicted in 2022 that AI will lead to the "greatest tech transformation ever." I don't know if that will prove to be true, but it certainly isn't unreasonable from the view of 2023.

Chatbots use artificial intelligence to generate streams of text from simple or more elaborate prompts. They don't "copy" text from the Internet (so "plagiarism" is hard to claim) but create based on the data they have been given. The results have been so good that educators have warned it could lead to widespread cheating and even signal the end of traditional classroom teaching methods.

Lately, I see more sober articles about the use of AI and more articles about teachers including lessons on the ethical use of AI by students, and on how they are using chatbots to help create their teaching materials. I knew teachers in K-20 who attended faculty workshops this past summer to try to figure out what to do in the fall.

The U.S. Department of Education recently issued a report on its perspective on AI in education. It includes a warning of sorts: Don’t let your imagination run wild. “We especially call upon leaders to avoid romancing the magic of AI or only focusing on promising applications or outcomes, but instead to interrogate with a critical eye how AI-enabled systems and tools function in the educational environment,” the report says.

Some of the ideas are unsurprising. For example, it stresses that humans should be placed “firmly at the center” of AI-enabled edtech. That's also not surprising since an earlier White House “blueprint for AI,” said the same thing. And an approach to pedagogy that has been suggested for several decades - personalized learning - might be well served by AI. Artificial assistants might be able to automate tasks, giving teachers time for interacting with students. AI can give instant feedback to students "tutor-style." 

The report's optimism appears in the idea that AI can help teachers rather than diminish their roles and provide support. Still, where AI will be in education in the next year or next decade is unknown.

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/

Google recently introduced a new feature to their Workplace suite that they call "Help Me Write." This generative AI will first appear in Gmail and Google Docs. At the moment, it's available to a select audience of invited testers.

Like other generative AI, you will be able to enter a prompt and have a first draft created. for you.,An example Google shared is not having it write a paper for your English class, though it will probably be able to do that. They show the example of having it create a job description for a regional sales representative/

It's another AI tool that might frighten teachers because it seems to help students unfairly but I think this may be a misperception. As with other AI tools, such as the much-discussed chat GPT, I think the best thing educators can do is to introduce this to students and guide them in the ways that it can be best used and best used legitimately.

The evolution of digital literacy in classrooms will never end. Yes, these kinds of AI- assisted-writing tools present boyj opportunities and challenges for educators. But ignoring them or trying to ban them from student use is certainly not the solution. This tool and others like it are an opportunity to improve student writing skills and critical thinking. 

Google Announcements
https://blog.google/technology/ai/ai-developers-google-cloud-workspace/
https://workspace.google.com/blog/product-announcements/generative-ai

Evaluation or Assessment? This was a discussion we had in my undergrad education courses. We also had it in my graduate courses. I ran workshops for college faculty discussion the differences and the hows and whys of using both things. My wife taught a graduate course on program assessment and she will tell you that the two terms are very different.

If you were told that your course or your teaching was going to be assessed this semester, or if you were told that it would be evaluated, would you consider that to mean essentially the same thing?

They are not easy things to define succinctly. Assessment is the systematic process of documenting and using empirical data to measure knowledge, skills, attitudes, and beliefs. The assessment of students or teachers is meant to improve them, not judge, grade or evaluate them.

In education, student evaluation most often focuses on grades. For instructors, an evaluation can be used as a final review to gauge the quality of instruction. It is product-oriented. It is judgmental.

I know that in my time teaching in secondary school and my time teaching in higher education, the way teachers are trained and the ways teachers are evaluated are quite different. Evaluation always occurs. Assessment may not always occur or be seen as equally important.

This discussion also recently appeared online and the kinds of questions being asked are: Is the number of times you talk in class a fair measure of evaluation? If yes, how do we address quiet but observant students? Should you have students do self-assessments and should those be part of the instructor evaluations?

We have been having these discussions for a long time. They are good discussions. Keep at it.

The Chronicle of Higher Education has a forum newsletter series on teaching written by Beth McMurtrie that had a post recently summarizing what they have learned after 5 years of doing the series. As it states, teaching is "An Ever-Changing Profession" and yet I find that many things about teaching are still the same as when I first went into a classroom in 1975.

When I moved out of the classroom as a full-time teacher in 2000, one of my roles was to teach professors. Though the department I ran was instructional technology, I was also tasked with holding sessions on pedagogy. At first, I wondered if college faculty would have a real interest in topics like assessment, grading strategies, creating assignments, and leading discussions in the classroom or online. But in the early sessions, those who did attend (it was voluntary most of the time) often said things like "I try to do what my best teachers do and not do what the bad ones did" and "I never took any courses in how to teach." Those faculty were interested and had spent their academic lives focused on their subject matter and, especially at STEM institutions like NJIT, research and getting grants were the real foci of concern and attention.

It is noted that "teaching has become an increasingly public enterprise," but some say “teaching is a private act.” Certainly, the K-12 classroom has become more public and parents and the community have always played a greater role in what happens in classrooms than compared in colleges. The newsletter points to possible changes to that dynamic, citing "find a teaching buddy, bring the department together to talk about teaching, create teaching communities across campus."

The pandemic and classes going online K-20 put teaching practices more in the public and into homes. Again, that was more so in K-12, but also for higher ed. Schools also held workshops to help faculty shift their teaching and some virtual support groups appeared with topics ranging from how to use Zoom to how to grade participation online.

Though I "learned to teach" as an undergraduate with an education minor in order to be a certified secondary school teacher, I really learned how in my field experiences and even more so in my first few years of actually being a full-time teacher. Like those professors, it took being in a classroom, creating lessons, grading work, and all the day-to-day tasks for me to really learn to teach. But I did have all the theories, practices, and philosophies before I became a teacher to refer to and use. I had tools.

I used a lot of that training in doing my own training sessions for professors. They were always somewhat amazed at all the research that had been done in pedagogy. They were more surprised at hearing there was such a thing as andragogy which addressed the age group many of them were teaching. It shouldn't have surprised them that there was a vast amount of educational research available, after all, it was what most of them did in their own fields. I always suspected that some of that surprise came from an attitude that teaching was less of a science and more of an "art" - like being able to draw or play an instrument. The "A" in STEAM had not found its way into STEM.

The newsletter has covered research universities creating teaching tracks to try to improve educational outcomes and reduce faculty burnout. Innovative forms of teaching, such as inclusive teaching and active learning, are ways that faculty begin to rethink classroom strategies.

I wrote earlier here about teaching AI in classrooms and a former colleague who read it emailed and said that I need to also consider not just how students are learning about AI but also how schools use AI.

In that earlier article, I said that many people are unaware of AI used already in their everyday lives. It's not that the AI is deliberately hidden from view (though in some cases it actually is deliberately hidden, such as with chatbots). If you use apps on a smartphone, you are using AI. If you use Google search or Gmail, you are using AI. If your car has navigation or safety features that keep you on the road, you are using AI.

In education, AI is making it possible to provide more personalized learning experiences for students. By automating tasks that take teachers more time, AI facilitates these tasks so that time can be spent with students providing one-to-one feedback. The AI can evaluate progress, analyze and make recommendations for further study. Digital tools with AI integrations can create a personalized learning path based on each student’s responses and based on their needs. There are platforms that have AI which helps to automate tasks and so can provide adaptive learning and more personalized experiences for students. Students would also have access to intelligent tutoring systems through AI.

Schools using AI administrative;y and pedagogically are more likely to see the value in having students learn in the classroom about how AI works and how it operates in their lives in and out of classrooms.