This paper explores the transformative potential of computer-assisted textual analysis in enhancing instructional quality through in-depth insights from educational artifacts. We integrate Richard Elmore’s Instructional Core Framework to examine how artificial intelligence (AI) and machine learning (ML) methods, particularly natural … Continued
Human choices are context-dependent, and options evaluation is biased by the quality and quantity of available alternatives. In the attraction effect, apparently irrelevant dominated decoys have proven effective in shifting preferences in numerous laboratory experiments, yet its relevance in real-life … Continued
Abstract This study investigates the efficacy of an AI-based ethical advisor using the GPT-4 model. Drawing from a pool of ethical dilemmas published in the New York Times column “The Ethicist”, we compared the ethical advice given by the human … Continued
Teaching with artificial intelligence in five steps What artificial intelligence tools are recommended for teachers, how can artificial intelligence tools be integrated into lessons, and how do you lead students to ethical and empowering use of these tools? Dr. Eran … Continued
As artificial intelligence (AI) advances, human-AI collaboration has become increasingly prevalent across both professional and everyday settings. In such collaboration, AI can express its confidence level about its performance, serving as a crucial indicator for humans to evaluate AI’s suggestions. … Continued
In this paper, we introduce the novel concept of pedagogically aligned Large Language Models (LLMs) that signifies a transformative shift in the application of LLMs within educational contexts. Rather than providing direct responses to user queries, pedagogically-aligned LLMs function as … Continued
Humans have the remarkable ability to learn new categories from few examples, but how few examples can we actually learn from? Recent studies suggest it may be possible to learn more novel concepts than the number of examples. Previous approaches … Continued
2023-10-25-JMP-Draft.pdf drive.google.com Abstract: In an era of rapid technological and social change, do universities adapt enough to play their important role in creating knowledge? To examine university adaptation, I extracted the information contained in the course catalogs of over 450 … Continued
Autoregressive language models, which use deep learning to produce human-like texts, have surged in prevalence. Despite advances in these models, concerns arise about their equity across diverse populations. While AI fairness is discussed widely, metrics to measure equity in dialogue … Continued
Complementing human decision-making with AI advice offers substantial advantages. However, humans do not always trust AI advice appropriately and are overly sensitive to incidental AI errors, even in cases with overall good performance. Today’s research still needs to uncover the … Continued