This post is a good primer on large language models. It explains how they work with minimal jargon and technical terms.
Large language models, explained with a minimum of math and jargon
Category Archives: External Primers
Towards social generative AI for education: theory, practices and ethics
This paper explores educational interactions involving humans and artificial intelligences not as sequences of prompts and responses, but as a social process of conversation and exploration.
Any-to-Any Generation via Composable Diffusion
The paper presents Composable Diffusion (CoDi), a novel generative model capable of generating any combination of output modalities, such as language, image, video, or audio, from any combination of input modalities. Unlike existing generative AI systems, CoDi can generate multiple modalities in parallel and its input is not limited to a subset of modalities like text or image.
What is Data Science?
Data science is emerging fast and a single definition of it has not yet been reached. In this blog, we presented six facets of data science, each highlighting a different perspective of the field. This multifaceted nature of data science may partially explain the difficulties associated with the efforts to define it.
Determining Capacity within Systemic Educational Reform
This paper was presented at the 1999 Annual Meeting of the American Educational Research Association on evaluating capacity.
Assessment in the age of artificial intelligence
This paper reviews traditional assessments and presents artificial intelligence approaches that might address current issues and/or present additional challenges.
CIRCL Center: Understanding Universal Design for Learning Primer
Universal Design for Learning (UDL) is a research-based framework intended to guide the design of learning technologies that are accessible and effective for all students, including those who are struggling academically and those with special needs.
CIRCL Center: Learning Sciences Primer
The Learning Sciences is a field of scientific research that developed in the 1980s, from influences which include cognitive science, computer science, information processing psychology, child development, anthropology, and linguistics.
Conceptualizing AI literacy: An exploratory review
Computers and Education: Artificial Intelligence Journal Publication, Volume 2, 2021, Open access
Podcast series: Fairness and Equity in AI for Education
This is a limited podcast series with five interviews with researchers in the fields of artificial intelligence, learning analytics, ethics and student privacy.
