AI Writing

So I saw some tech-guru on Twitter pontificating about how awesome AI writing assists were and I thought, let’s give that try. So, I signed up for a demo of a product, and it’s pretty slick. (HASHTAG NOT AN AD #notsponsored). The thing that I used is called Moonbeam which is aimed at helping you become a better writer (and yes, it does help with the blank page syndrome).

My initial though is: slick, but not quite there yet for niche interests (which holds out hope for teaching (more on that in a minute).

I gave it the prompt “The Disasterous Choice to Teach Using an LMS”.

It then provided me with a fleshed-out draft – three arguments against, three arguments for and a conclusion. I edited the three arguments for out and generated this:

The Disasterous Choice to Teach Using an LMS

Introduction: Discuss the reasons why some instructors choose to use an LMS, or learning management system, to teach their students and how this negatively impacts learning.

Some instructors choose to use an LMS because it is a convenient way to deliver course content and track student progress. While this may be appealing at first, using an LMS can have negative consequences for learning. For example, a more passive learning environment can create difficulty for students in accessing and understanding the material. Additionally, using an LMS can limit instructor creativity and flexibility in designing and delivering instruction. As a result, the choice to use an LMS should be based on what will best meet the needs of the instructor and the students.

There are several potential disadvantages to using an LMS, including the following:

There are several potential disadvantages to using an LMS, including the following:

Increased potential for cheating: With an LMS, it is easier for students to find and copy answers from each other, which can lead to decreased grades and a loss of learning.

Limited interaction with instructors: If problems arise or clarification is needed, students may have difficulty getting in touch with their instructors in a timely manner through an LMS.

Technical difficulties: An LMS can be prone to glitches and crashes, which can interfere with classes and disrupt learning.

High cost: Some LMSs can be expensive for schools or individual teachers to implement and maintain.

a) It can be difficult to keep track of all the different features and functions of an LMS.

It can be difficult for educators to keep track of all the different features and functions of an LMS. This can lead to frustration and confusion for both teachers and students. An LMS can also be expensive, and many school districts cannot afford to purchase one. There is also a lack of research on the effectiveness of using an LMS in the classroom. Some educators believe that an LMS can actually hinder learning rather than promote it.

b) An LMS can be time-consuming to set up and maintain.

An LMS can be time-consuming to set up and maintain, which can take away from time that could be spent teaching.

An LMS can be difficult to use, which can lead to frustration for both teachers and students.

An LMS can be expensive, which can limit its use to only those who can afford it.

An LMS can be inflexible, which can make it difficult to adapt to changing needs or requirements.

c) Some students may find it difficult to navigate an LMS due to design of the course or the LMS itself.

Some students may find it difficult to navigate an LMS due to its design or the LMS itself, leading to frustration and a feeling of being overwhelmed. This can impact their ability to learn effectively.

An LMS that is designed with user-friendliness in mind can help alleviate some of these issues. Additionally, providing support and training for students on how to use an LMS can also be beneficial.

Ultimately, it is important to consider the needs of all students when choosing to use an LMS for teaching purposes.

Lack of control over the learning environment, dependence on technology, and limited interaction with students are some of the challenges that arise when using an LMS for instruction. These issues require significant investment of time and resources if they are going to be overcome.

Ineffective for certain types of learners is another potential downside of using an LMS for teaching purposes; however, this can be remedied by taking into account the specific needs of each student group before designing a course content strategy around an LMS platform

Now that’s not a bad starting point. I could flesh that out and expand on the points. And that’s the value that Moonbeam proposes – giving folks an option to edit all the way through (which likely improves their AI model). If I were generating content as a content provider, I definitely would be using this as a way to flesh out ideas and keep things a little more focused while working rapidly.

Now if I were a niche content producer (oh say, talking about educational technologies) then the downside to this is you’re not providing much additional value over a Google search as I’m sure the AI is using scraped data for one of it’s source, and so the niche stuff which doesn’t have a lot of linkage, or doesn’t have a lot of major traction, like most of the educational technology focused blogs, then it probably won’t deliver anything but a surface understanding of the subject. I can’t imagine the wrongness of something about punk (actually I can, because I generated a blog post about how 1982 is the best year for punk – it included the sentence: 1984 was a crucial year for punk music, as it saw the rise of crossover poppunk and hardcore metal.)

The testimonials on the front page of the site, well, they tell you that (if you’re an educator) your students are already using the tool. A quick social media search shows that is true as well. If it’s on Twitter, chances are there’s thousands more on private Discord servers and SnapChat.

The hope for education? Well, it’s the same argument we had about the web destroying education – access to all the information in the world does not provide the context one needs to form a deep understanding of the subject. Instead of rehashed, crappy essays (and please, can we get away from essays) and going towards more participatory ways of demonstrating learning I’m sure higher education will simply try to outlaw these things and adhere to stricter more surveillancy kinds of approaches to solving the problem. The problem is that more participatory ways of demonstrating learning is that they aren’t easily scalable – or are they? One thing that MOOCs taught me is that with a large enough bank of assessments, it is totally possible to demonstrate learning at scale (now assessing… that’s a different matter). Look at the DS106 Assignment Bank. It’s got clear assignments linked to loose themes (which could be your learning outcomes if that’s how you roll) that students can select from. I suspect that these would be difficult to do through AI. Another strategy might be to use the AI and show how you’d improve that output as part of the essay building process.

Will we get there though? The labour costs of doing the DS106 assignment bank is huge – and the assessment of 600+ students (thinking about first year folks) would be considerable. Maybe there’s ways around it, I’m sure that people could come up with clever ways to assess at scale – but anything offloading assessment to students or peers is a band-aid on the way higher education is running.

Dead Drop no.2

A second hodgepodge of things I’ve found on the Internet.

How to Build a Twitter Bot

http://www.zachwhalen.net/posts/how-to-make-a-twitter-bot-with-google-spreadsheets-version-04/

https://www.labnol.org/internet/write-twitter-bot/27902/

https://www.fastcompany.com/3031500/how-twitter-bots-fool-you-into-thinking-they-are-real-people

The third article is the most interesting because it’s from 2014 (remember Klout scores?) and really shows how little (and how much) has changed in the Twitter bot universe. Essentially the heart of the strategy is the same, but mixed with a way to learn (through AI, or natural language processing which is clearly being done at some more sophisticated campaigns) and adapt depending on where we are, I suspect that we are on the cusp of what the future looks like when everyone you meet online could not actually be a person. My Philip K. Dick collection became a lot less sci-fi and more prescient.

More Bots (Cisco Spark/Microsoft Teams):

https://msdn.microsoft.com/en-us/microsoft-teams/botsconversation

https://developer.ciscospark.com/bots.html

Both Cisco Spark and Microsoft Teams are available where I work. Both have vague collaboration mandates, both can be used for communication. At this point, Spark might be more advanced with third party enhancements and bots. Teams might end up being the platform of choice if students are involved. I’m hoping to build a chatbot to handle common sorts of requests that our LMS support team get (ie. the stuff we have a predefined reply in our ticketing system, which isn’t attended to after 4:30 PM).

Natural Language Processing:

https://research.google.com/pubs/NaturalLanguageProcessing.html

https://medium.com/@jrodthoughts/ambiguity-in-natural-language-processing-part-ii-disambiguation-fc165e76a679

https://chatbotsmagazine.com/the-problem-with-chatbots-how-to-make-them-more-human-d7a24c22f51e

Natural language is key for the chatbot above, and of course the first attempt will be ruthlessly primitive I’m sure.

Chatbots in General:

https://www.theguardian.com/technology/2016/sep/18/chatbots-talk-town-interact-humans-technology-silicon-valley