Thursday, December 14, 2017

7 solid reasons to suppose that chatbot interfaces will work in learning

In Raphael’s painting various luminaries stand or sit in poses on the steps, but look to the left of Plato and Aristotle and you’ll see a poor looking figure in a green robe talking to people – that’s Socrates. Most technology in teaching has run against the Socratic grain, such as the blackboard, turning teachers into talkers and lecturers. Direct instruction is necessary in one to many situations like classrooms but when the technology allows us to deliver one-to-one teaching, it makes sense to replace monologue with dialogue. With Generative AI we may be seeing the return of the Socratic method. I have written, in detail, about that method here.

This return is being enabled by Large Language Models LMS. A person is exposed to a billion words over a lifetime through speech and reading. These models have a thousand times more words, strictly speaking tokens - 1 to 2 trillion. It would take a person 22,000 years to read that at normal reading speed eight hours a day. No teacher can hole that much in long term memory.

AI is largely invisible, but it doe have to reveal itself through its user interface. AI is the new UI but because the AI is doing a lot of the smart, behind the scenes work, it is best fronted by a simple interface, the simpler the better. The dialogue interface in messenger apps, texting, and social media seems to have won the interface wars, transcending menus. Simple Socratic dialogue seems to have risen, through the process of natural selection as THE interface of choice, especially on mobile.

So can this combination of AI and Socratic UI accelerate learning? There are several reasons for being positive about this type of interface in learning.

1. Messaging the new interface
We know that dialogue interfaces overtook that of even social media, especially among the young. Look at the mobile home screen of any young person and you’ll see the dominance of chat apps. The Darwinian world of the internet is the perfect testing ground for user interfaces and messaging is what you are most likely to see when looking over the shoulder of a young person.

So one could argue that for younger audiences, chatbots are particularly appropriate, as they already use this as their main form of communication. They have certainly led the way in its use but one could also argue that there are plenty of reasons to suppose that most other people like this form of interface. It's simple and intuitive, like speaking and listening.

2. Frictionless
Easy to use, it allows you to focus on the message not the medium. The world has drifted towards dialogue for the simple reason that it is simple. By reducing the interface to its bare essentials, the learner can focus on the more important task of communications and learning. All interfaces aim to be as frictionless as possible and apart from speculative mind reading, from the likes of Elon Musk with Neuralink, this is as bare bones as one can get.

3. Reduces cognitive load
Dialogue  is simple, a radically, stripped down interface that anyone can use. It requires almost no learning and mimics what we all do in real life – simply speak and listen, then speak again. Compared to any other interface it is low on cognitive load. There is little other than a single field into which you type, it therefore goes goes at your pace.

4. Chunking
One of the joys of dialogue, and one of the reasons for its success, it that it is succinct. It is by its very nature chunked. If it were not, it wouldn’t work. Imagine being on a flight with someone, you ask them a question and get a1 hour lecture in return or imagine. Chatbots chat, they don’t talk at you.

5. Media equation
In a most likely apocryphal story, where Steve Jobs presented the Apple Mac screen to Steve Wosniak, Jobs had programmed it so say ’Hello…”. Wosniak though it uncessary – but who was right? We want our technology to be friendly, easy to use, almost our companion. This is as true on learning as it is in any other area of human endeavour.

Nass & Reeves, in The Media Equation, did 35 studies to show that we attribute agency to technology, especially computers. We anthropomorphise technology in such a way that we think the bot is human or at least exhibits human attributes. Our faculty of imagination finds this easy, as witnessed by our ready ability to suspend belief in the movies or when watching TV. It takes seconds and works in our favour with chatbots, as dialogue is a natural, evolved form of human behaviour and communication, so we are cognitively attuned to its cadence.

Geary calls speaking and listening primary skills, as they are not learnt formally. For most of our evolution we had an oral culture, unto writing arrived 5000 years ago. It is far toor recent to have had much effect on us cognitively.

6. Anonymity
If you have qualms about chat replacing human activity, remember also, that many learners are reluctant to ask their tutor, lecturer, manager or boss questions, for fear of embarrassment, as it may reveal their lack of knowledge. Others are simply quiet, even introverts. Anonymous learning, through a chatbot, then becomes a virtue not a vice. Wellbeing bots may also want to preserve anonymity. In this sense, chatbots may be superior to live, human teachers and managers. Time and time again we see how technology is preferred to human contact – ATMs, online retail and so on, in learning, in some circumstances we also witness this phenomenon.

7. Audio possible
The brain is a social organ, likes to receive stuff in chunks and interact when learning. We are social apes, grammatical geniuses at age 3 and learn to listen and speak long before we learn to read and write (which take years). Chatbots, such as Siri and Google Assistant already exist and, with the addition of text to speech and speech to text, turn chat into the exchange of speech. Reading and writing are replaced by listening and speaking. Again these are evolved abilities.

Of course, one must be careful here, as chatbots have limitations. They work best in narrow domains, with a clear purpose. Their ability to deliver full-milk, sustained dialogue has limitations. Nevertheless, they can deliver learning functions aright across the learning journey from on-boarding, learner engagement, learner support, mentoring, teaching, assessment, practice and well being.

We are about to enter the Age of AI, which is actually a return to the Age or Tracy and dialogue. It would seem that the interface itself is ideal. Of course dialogue in this context can do what no human can do, and that is deliver multimodal learning in the form of text, audio, images and video, even 3D worlds and objects. This transcends our limited bandwidth speech dialogue.

Dialogue changes ur relationship with knowledge. We no longer simply watch and listen, even search and retrieve, we engage in dialogue with knowledge. This is a different mindset. A student may get the core of a text from ChatGPT, to get over the blank page syndrome, then build, in co-creations with these tools, a full exposition or article. You learn by learning what good questions to ask, not search. This pedAIgogy is different from what has gone before, as you're speaking not to an individual teacher but a UNIVERSAL TEACHER. It pretty much knows everything that is textual, if not everything about the real world. Although, as text relates to the real world, it know some of that. It also learns from you, corrects itself as it goes.

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