Serendipity35

If you ask a question in the ChatGPT free version 3.5 about a film or event that happened in the past year, you may not get a very good answer, or perhaps no answer at all. Version 3.5 was last updated with data in January 2022. To get version 4, you need to pay for the Plus level at $20 per month ($25 for the Team version).

* NOTE There has been an upgrade for free ChatGPT users: OpenAI is opening up many of the features previously reserved for paying customers. This includes access to image and document analysis, data analytics and custom GPT chatbots.

Recently, I asked 3.5  "What films released in 2024 are possible Academy Award nominees?" The answer was generic:
"Predicting specific Academy Award nominees for a year as far out as 2024 is quite speculative since it depends on numerous factors such as the quality of the films, critical reception, box office success, and industry trends at the time of release. However, some potential contenders could include films from established directors or those with strong track records in awards season, as well as films that tackle socially relevant themes or feature standout performances. It's also worth considering that films released towards the end of the year tend to be fresher in the minds of voters during awards season. Without specific knowledge of films released in 2024, it's challenging to pinpoint exact nominees, but historical trends and industry buzz could provide some hints closer to the time."

What about Microsoft Copilot? This chatbot was developed by Microsoft and launched in February 2023. It is Microsoft's primary replacement for the discontinued Cortana. At first, it was called Bing Chat, as a built-in feature for Microsoft Bing and Microsoft Edge. However, they began to unify the Copilot branding across its various chatbot products. They planned to integrate Copilot into Windows so that you could use it directly through the taskbar.

Here is a sample prompt and response from Bing Chat last year (via Wikipedia)

I asked CoPilot today, "What was Carl Jung's concept of shadow self?" The answer was extensive (excerpted below)

"Certainly! Carl Jung, the Swiss psychiatrist and founder of analytical psychology, introduced the concept of the “shadow self.” Let’s delve into what this intriguing idea entails:

    Definition of the Shadow Self:
        The shadow refers to those aspects of ourselves that we reject or deny. These are the darker, less socially acceptable pieces of our personality that don’t align with the persona we present to the world.
        It encompasses traits, emotions, and characteristics that are often viewed as negative, such as anger, jealousy, and greed1.

    Origin and Nature:
        Jung believed that the shadow is an integral part of our psyche, residing in our unconscious mind...

    Encountering the Shadow:

        When encountering the shadow, we experience a range of emotions: fear, disgust, remorse, guilt, compassion, grief, and humility.
        The shadow has the power to possess and overwhelm us, even altering our behavior (“He is not himself today”)3.

In summary, the shadow self represents the hidden, often rejected parts of our personality. Embracing and integrating these aspects is essential for personal growth and individuation."

 

Artificial Intelligence has gained very widespread attention in the past six months even among people who consider themselves to be not very tech-savvy. chatGPT and its clones have received much of the attention but the AI floodgate opened wide. So wide that people became fearful and the government became interested in possibly restricting its growth in the U.S. and other countries.

Google introduced a tool to help you write. Grammarly, the writing assistenat that checks your writing, now has a feature to help you write too. Before we put a pause on AI growth, I want to consider how it is already being used in building websites.

You may know that AI can write or revise the code behind websites and applications. I won't comment on that because it's not my strongest area. One of the problems I always encounter when starting on a new website with a client is content readiness. Writing website copy should be something that a client is intimately involved in doing. I'm okay with editing content but prefer clients to write their own initial copy as much as possible. Generative AI technology can draft surprisingly high-quality marketing copy.

I build and maintain some sites using Squarespace and they have integrated generative AI technology into the platform. It is used in their rich text editor, which powers all website text, providing you with predictive text. As with other chat tools, you write a prompt and the AI will generate a draft of copy that you can insert into the text block with a single click.

AI isn't building an actual website quite yet, but no doubt it will one day. And you still need humans feeding the content to it, checking it over and placing it in a design frame. Platforms like Squarespace, WordPress, WIX, et al, have made building a site much easier, but all those platforms will get more intelligent in the next year. Artificial combined with human intelligence will hopefully still provide the best designs.

Should K-12 students be learning about artificial intelligence? Since the turn of the century, I have written about, observed and taught in programs to have all students learn the basics of coding. Prior to that, robotics made big moves into K-12 classrooms. AI seems to be the next step.

I saw recently that DayofAI.org launched a day for classrooms around the world to participate in learning about AI. They offered resources from MIT for teachers, including lesson plans and videos for all grade levels.

It's not that students aren't already surrounded by artificial intelligence in their everyday lives, but they are probably unaware of its presence. That is no surprise since most of the adults around them are equally unaware of AI around them.

You find AI used in maps and navigation, facial recognition, text editors and autocorrect, search and recommendation algorithms, chatbots, and in social media apps. If you have a smartphone to a new car, you are using AI consciously or unconsciously. Consciously is preferred and a reason to educate about AI.

Though I have never thought of my time as a K-12 teacher as training students for jobs in the way that teaching in higher education clearly has that in mind, you can't ignore what students at lower level might need one day to prepare for job training in or out of higher ed. Artificial intelligence, data analytics, cloud computing, and cybersecurity are areas that always show up in reports about jobs now and in the near future.ed workers which means that we need to do more to prepare our students for these careers and others that will evolve over time.

“AI will dominate the workplace and to be successful, people are going to have to understand it,” said Mark Cuban, who launched a foundation in 2019 that provides AI bootcamps for free to students to learn about AI. It is his belief and the belief of other tech leaders and educators that artificial intelligence is something that should and can be taught at all levels, regardless of a teacher’s experience in this field.

One starting place might be Google AI Experiments which offers simple experiments to explore machine learning, through things like pictures, drawings, language, and music. See https://experiments.withgoogle.com/collection/ai

AIClub offers courses for students and free resources for educators including professional development sessions to spark curiosity for learning about AI. They are also developing guidelines for AI curriculum in grades K through 12.

I tried an AI test (it is rather long for younger students) at www.tidio.com/blog/ai-test/ that was part of a survey for a research study about AI-generated content. It shows you images, texts, and plays sounds and asks you to decide if you think they show real people or were created by humans or not. Almost all of us will be fooled by things created by AI. Another site is fun for kids as it shows very realistic AI-created cats that don't really exist. And another site at https://ai4k12.org/ is also a human vs AI activity where you decide whether art, music, writing or photos were created by a human or AI.

All of those examples can be used as a way to introduce students to how AI is used and even caution them to recognize that they can be not only helped but deceived using AI.

Writing online, I am kind of guessing about who are my readers. I know where they come from geographically and I know how they find me in a search and what articles they read and other analytics. I don't know what their reading level might be and every writing course will tell you that you "need to know your audience."

I make some assumptions that readers of a blog about technology and learning are mostly educators and so I further assume that they have a high school and above reading level. But how do you determine the reading level of what you are writing?

If you write in Microsoft Word, it is simple to use two major readability tests that are built-in: the Flesch Reading Ease and Flesch-Kincaid Grade Level.

For the Flesch Reading Ease and Flesch-Kincaid Grade Level statistics to come be part of the “Spelling & Grammar” review of your content, you will need to enable those statistics. To do this select “File” then “Options” next go to the “Proofing” tab and check the box that says “Show readability statistics.”

Flesch-Kincaid scores are readability tests designed to show how easy or difficult a text is to read. This score is given in two different ways. First is the “Flesch Reading Ease” number which ranges from 0 to 100. With a score of 90-100, your writing could be understood by an average 11-year old and a score of 60-70 could be understood by average 13 to 15-year olds. A score of zero to 30 means your writing could be understood by a university graduate.  A bit counterintuitively, the higher the score the easier the writing is to read and comprehend.

For comparison, Time magazine averages at a score of 52 and the Harvard Law Review falls somewhere in the low 30s.

The Flesch-Kincaid Grade Level applies a reading grade level to your writing. I learned many years ago that most general news articles in The New York Times have a tenth-grade reading level. Romance novels have about a fifth-grade reading level. 

I ran a recent article here through the test and got the results shown below. The Reading Ease score is about 55 and a Grade Level a tenth-grader in the middle of sophomore year. 

You might think that score seems to be low for a post I am aiming at educators, but many sources will recommend that ease of reading in order to boost your numbers and even in your emails and communications. I know that some researchers have said that your response rate varies by reading level. The article linked here claims that emails written at a 3rd-grade reading level were optimal with a 36% boost over emails written at a college reading level and a 17% higher response rate than emails written even at a high school reading level.

When Microsoft Outlook and Word finish checking the spelling and grammar, you can choose to display information about the reading level of the document using the Flesch Reading Ease test and the Flesch-Kincaid Grade Level test. You can also set your proofreading settings to flag things like jargon, which is often what pushes ease aside and pushes readers to leave.

This may sound like advice to "dumb down" your writing. I don't think it is that. The English major part of me is reminded of Ernest Hemingway's journalistic simplicity. You can still get across deep ideas in simple language. I like the Einstein quote “Everything should be made as simple as possible,
but not simpler.”