Comparing Online and AI-Assisted Learning: A Student’s View — from by Daphne Goldstein
An 8th grader reviews traditional Khan Academy and its AI-powered tutor, Khanmigo

Hi everyone, I’m Daphne, a 13-year-old going into 8th grade.

I’m writing to compare “regular” Khan Academy (no AI) to Khanmigo (powered by GPT4), using three of my own made-up criteria.

They are: efficiency, effectiveness, and enjoyability. Efficiency is how fast I am able to cover a math topic and get basic understanding. Effectiveness is my quality of understanding—the difference between basic and advanced understanding. And the final one—most important to kids and maybe least important to adults who make kids learn math—is enjoyability.

7 Questions on Generative AI in Learning Design — from by Rhea Kelly
Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.

The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.

We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.

First Impressions with GPT-4V(ision) — from by James Gallagher; via Donald Clark on LinkedIn

On September 25th, 2023, OpenAI announced the rollout of two new features that extend how people can interact with its recent and most advanced model, GPT-4: the ability to ask questions about images and to use speech as an input to a query.

This functionality marks GPT-4’s move into being a multimodal model. This means that the model can accept multiple “modalities” of input – text and images – and return results based on those inputs. Bing Chat, developed by Microsoft in partnership with OpenAI, and Google’s Bard model both support images as input, too. Read our comparison post to see how Bard and Bing perform with image inputs.

In this guide, we are going to share our first impressions with the GPT-4V image input feature.