Generative Artificial Intelligence: Resources

This artificial intelligence NYT newsletter is published "as needed" and available to subscribers. FHSU students get free subscriptions to the New York Times by signing up using their FHSU email.

A biweekly newsletter by Generative AI through LinkedIn on recent developments and trends in AI.

Offers explanation about chatbots and lists the best AI chatbots for various needs (including how to build your own)

A February 2023 article from EdTech about the value of chatbot tools for student engagement.

A hub of resources to help you make sense of how to navigate this emerging field of technology while continuing to practice and hone news literacy skills.

An April 2023 article from the MIT Technology Review

Discusses the role of humans in making decisions in the design and implementation process of artificial intelligence in education.

Twelve focus groups and eight one-on-one interviews were conducted with secondary school-aged students after they received training in both creativity and AI over eight weeks. An analysis of the interviews highlights that the students view the relationship between AI and creativity as four key concepts: social, affective, technological and learning factors.

The future of education lies in the ability to develop technologies which integrate seamless artificial intelligence (AI) components into the educational process, in order to deliver a personalized service which is dynamically tailored to the learner’s characteristics, abilities, and needs.

Questions whether AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust.

This article discusses the association between learning activities and different aspects of AI learning. The proposed method can be used by teachers who want to introduce AI knowledge into general education courses.

A systematic review of 36 papers to understand, compare, and reflect on recent attempts to utilize chatbots in education using seven dimensions: educational field, platform, design principles, the role of chatbots, interaction styles, evidence, and limitations.

The main research topics in this review include intelligent tutoring systems for special education; natural language processing for language education; educational robots for AI education; educational data mining for performance prediction; discourse analysis in computer-supported collaborative learning; neural networks for teaching evaluation; affective computing for learner emotion detection; and recommender systems for personalized learning.