The Innovative Educator

AUGUST 19, 2023

There are numerous Generative AI / Large Language Models (LLMs) available to support learning to read from the popular ChatGPT to Bing, Bard, Claude, etc.

Learning 75

Learning Primary Creativity Accessibility 75

ED Surge

AUGUST 9, 2022

At the national 2022 ASU+GSV Summit, Jean-Claude Brizard, President and CEO of Digital Promise, remarked on the connective role of edtech in the relationship between educators, students and educational materials: “In that interaction, I often think of the role of technology, of machines, in enhancing this relationship. percent to 22.5

UDL 272

UDL EdTech Student Engagement Accessibility 272

Northeastern University

APRIL 28, 2023

Sym Abdul-Hadi Adewunmi Ade-Oyetayo Jose Agudelo Cuartas Iten Beshay Lydia Bird Adriana Cespedes Doris Cruz Alonso Eoin Daly Lauren DeSousa Charles Dulphe Zandria Hughes Shakti Katheria Bennet Lauture Ryan Lumpkin Naomi Newman Macy Parchment Maya Rabow Claude Roc Peter Siccardi Ben-oni Vainqueur

STEM 40

STEM Education Education Schooling 40

The Innovative Educator

AUGUST 30, 2023

Generative Artificial Intelligence (Gen AI) There are numerous Generative AI platforms available to support learning to read from the popular ChatGPT to Bing, Bard, Claude, etc. Khan Academy Kids is completely free, forever—no ads or subscriptions necessary. Here are some ideas for doing that, with more detail on each in this post.

Technology 60

Technology Artificial Intelligence Learning Personalized Learning 60

National Science Foundation

FEBRUARY 15, 2023

The foundation for discussion of stereotype threat can be found in a video by Dr. Claude Steele, which also underscores its implications in learning and achievement (Steele, 1997; Spencer et al.,

Biology 52

Biology Achievement Physics Mathematics 52

Stephen Wolfram

AUGUST 22, 2023

This probably didn’t come from that particular course, but here are some notes I found in an archive of Ed’s papers at MIT that perhaps suggest some of the flavor of the course (we’ll talk about Ed’s interest in the Soviet Union later): In 1968 MIT—and Project MAC in particular—was at the very center of emerging ideas about computer science and AI.

Computer 68

Computer Physics Science Sciences 68