Artificial intelligence technologies replicate human-like intelligence by training machines and computer systems to do tasks that simulate some of what the human brain can do. It relies on systems that can actually learn, usually by analyzing vast quantities of data and searching out new patterns and relationships. These systems can actually improve over time, becoming more complex and accurate as they take in more information.

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UK ADVANCE offers guidance in response to frequently asked questions from the UK research community

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AI literacy has emerged as a skill set for teachers and students to safely use emerging technologies in teaching and learning. Nonprofit organizations, thought leaders, and school districts have begun to make progress in defining AI literacy, and examples of such frameworks are listed at the end of this blog post.

Basic conversational course to orient new users to AI terms and operation.

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Provides a look at current student life in reaction to AI use today.

Described as a tool kit for AI exploration in the listed topic areas

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Podcast series exploring AI practical applications and their use cases

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In an Era characterized by the pervasive influence of digital technology in every facet of our lives, the book “Human cognition: In the Digital Era” emerges as a critical exploration of the intricate relationship between Human Cognitive processes and the Digital landscape that envelops us. The aim of the book is to provide essential insights for navigating our digital future, fostering an understanding of how cognitive faculties adapt and evolve.

Resources on how to build a career in AI

The Task Force on Artificial Intelligence (AI) at JMU is exploring AI's role in higher education and society. Their focus areas include authorship and knowledge production, the student experience, new contexts and meanings, and administrative applications of AI. This initiative aims to better understand AI's potential and impact across these domains.

The AI Task Force at Indiana University focuses on evaluating the impact and potential uses of AI across various domains, including education, research, and administration. The task force explores ethical considerations, technology integration, and policy development to ensure AI's responsible application within the university community.

AI technologies are transforming industries in Wisconsin, reshaping workforce skills and competitive landscapes, and prompting educational systems to adapt. In response, Gov. Tony Evers established the Governor's Task Force on Workforce and AI to equip workers for the future and promote equity and economic opportunity.

The task force will explore, coordinate, and optimize the use of Artificial Intelligence technologies to the benefit of students, faculty, and staff at UVU and work towards enhancing the overall student experience by leveraging AI innovations responsibly, securely, ethically, and inclusively. The task force reports directly to the Provost, with whom it will share regular progress reports.

This report identifies synergies across school and unit AI strategies and recommends areas for coordinated action and university-wide investment.

The Provost's Advisory Council on Artificial Intelligence (PAC-AI) at UC Berkeley is focused on guiding the university in exploring AI's impact on research, teaching, and societal challenges. The council advises on strategies to enhance AI integration, ethical considerations, and fostering interdisciplinary collaboration. It aims to position the university as a leader in AI research and its responsible use.

The formal strategic conversations around artificial intelligence (AI) began in 2023. The presented timeline highlights key milestones, starting with initiating AI discussions and guidelines in the summer, followed by strategic workshops, policy developments, and drafting an AI strategic plan.

The article outlines recommendations from the University of Notre Dame's Generative AI Task Force (GAIT) on the responsible use of generative AI, emphasizing ethical guidelines, privacy considerations, and fostering innovation while mitigating risks in academic and institutional settings.

McMaster University formed a Task Force on Generative Artificial Intelligence in Teaching and Learning to explore AI's potential in education and address related challenges. The task force, co-chaired by Kim Dej and Matheus Grasselli, operated from May 1st to August 29th, with contributions from faculty, staff, and students, culminating in a final report.

The Provost’s Working Group on Generative AI is tasked to develop and evolve a policy and guidelines on the use (and procurement) of generative artificial intelligence tools (e.g. ChatGPT, Bard, Dall-E, Midjourney, Stable Diffusion, Llama 2) by Columbia students, faculty, researchers and staff.

USC's AI roadmap focuses on advancing AI in research by improving grant submissions, fostering interdisciplinary collaborations, and driving innovation. Key initiatives include the Carolina Grants and Innovation Hub, which enhances grant-writing, and the AI Institute, which promotes collaborative research. These efforts aim to establish USC as a leader in AI research and application.

The Task Force on Artificial Intelligence (AI) at JMU has begun its work in understanding the uses and implications of AI within higher education and more broadly in society.

The Generative AI in Teaching and Learning task force at UVA, formed in March 2023, explored the impact of AI on education by engaging with over 300 faculty members, 500 students, and consulting external resources to assess both the risks and benefits of generative AI, as well as how peer institutions are adapting to its rise.

This taskforce report includes recommendations, links to expanded resources related to the use of Generative AI in higher education, and the results of a faculty and a student survey on the issue.

Three university-wide task forces, formed in 2023, recently released their findings and recommendations surrounding the use of artificial intelligence (AI) tools at Cornell.

The Joint Task Force on Generative AI at UMass Amherst is tasked with examining the current and potential uses of AI in education, its impact on university processes, and its implications for teaching, research, and privacy. The task force will also provide recommendations for the responsible adoption and use of generative AI at the university.

In January 2024, the Office of the Provost and Vice-President Academic established an interdisciplinary Artificial Intelligence Taskforce to develop comprehensive principles on the use of Artificial Intelligence (AI) at USask along with guidelines aligned with the core areas of research, teaching and learning, and administration.

The AI Task Force at RIT was formed to help the university examine important questions and arrive at recommendations for shared solutions, best practices, and ethical approaches that we can carry forward within our institution and as a higher education leader.

The report reveals post-secondary education is experiencing a pivotal moment to bridge the gap between education and employment.

Study respondents were asked to describe both appropriate and inappropriate uses of AI in higher education. In general, respondents emphasized the ethical and transparent use of AI, no matter the specific application.

While more than half of employers acknowledge they hold responsibility for upskilling related to AI, 42% say they are not confident that their organization understands how to effectively train workers on the technology. Initiating these types of training programs can be intimidating for employers, especially when navigating the current acceleration of AI and varying employee skills, across levels. This presents a unique opportunity for higher education institutions to make learning more accessible and relevant for employers so they can keep pace and ensure their workers are using AI responsibly.

The Digital Education Council Global AI Student Survey aims to provide insights into student perceptions around artificial intelligence (AI) in higher education to inform decision-making for university leadership. The report covers the status of AI usage and readiness, student perception of AI use cases, expectations and preferences on university actions on AI, satisfaction with institutions’ AI adoption, concerns and key attributes for AI use.

The report covers future job changes as AI surfacing as a requirement for creative jobs. The report warns that 50% of instructors and administrators who do not use AI are impacting student learning. The report offers recommendations including changes to government policies and strategies for teaching students

A survey was conducted among 1200 full-time professional worker with roles that included computer input. Report explains the study methodology and offers 6 key findings about AI job readiness.

The report identified those workers whose roles brought them into contact with AI. The survey considered that workers who more exposed to artificial intelligence if AI can either perform their most important activities entirely or help with them, were concerned about future work requirements.

Explores10 critical questions and answers to build student-centered online programs with one section focusing on AI

CTO/CIOs’ takes on topics such as AI adoption, cybersecurity and the sustainability of WFH and high-quality online education.

This 2023 study – the largest and longest running study monitoring digital learning in higher education – aims to identify the differences between student and institutional stakeholder experiences and preferences to suggest ways institutions and solution providers can address these differences.

In-depth global study on the state and importance of AI skills. This study surveys over 10,000 employers, 30,000 employees, and nearly 1,000 educators in 19 markets around the world on their perspectives surrounding AI, its impact on their organisations and careers, and the skills they wish to develop to ride the AI wave.

White paper summarizing findings the past two years, we’ve conducted research dedicated to understanding perceptions and use-cases for AI in higher education. Nearly 1,000 instructors shared their thoughts and experiences, telling us how AI impacts their teaching and students’ learning, and what AI can bring to higher education.

Ellucian's AI Survey of Higher Education Professionals Reveals Surge in AI Adoption Despite Concerns Around Privacy and Bias

Resources to teach potential users or further generative AI skill development

Resources to teach potential users or further generative AI skill development

Resources to teach potential users or further generative AI skill development

Resources to teach potential users or further generative AI skill development

Resources and policies for university students' AI use

Resources and best practices for professional development

Career Development Artificial Intelligence (AI) Career Toolkit! This site provides resources to help students learn about and responsibly use AI within the realm of career development.

Toolkit to empower students with knowledge so they can interact with AI systems in an ethical, safe, and beneficial way in support of their career goals.

Website introducing AI and listening resources for further information.

Video presentations of best practices in using AI in student work

Guidance regarding use, privacy, diversity, and approved and prohibited usage of Generative AI

As generative AI adoption accelerates, survey respondents report measurable benefits and increased mitigation of the risk of inaccuracy. A small group of high performers lead the way.

The report offers data on AI's varying popularity among workers and their employees with different aspiration for its best use. Offers statistics taken from different demographics of users and their leaderships as well as perspectives from different levels and types of jobs

The Chronicle asked 404 higher-ed leaders to share their perspectives on generative AI. Answers varied from posing a threat to offering new ways to improve education.

2024 Graduate Employability Report surveyed 1,000 U.S. employers and 974 recent graduates to shed light on this issue, highlighting how graduates’ perceptions are changing, the influence of AI on the workforce is increasing and post-secondary education is evolving.

Provides recommendations to prepare for an AO economy.

A current Executive Order calls for the U.S. Department of Energy (DOE), in coordination with the U.S. National Science Foundation (NSF), to "establish a pilot program to enhance existing successful training programs for scientists, with the goal of training 500 new researchers by 2025 capable of meeting the rising demand for AI talent.

Provides international consensus on frameworks that will interest practitioners and professionals in the policy-making and education communities. It aims to generate a shared understanding of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era

Turns text to video. Creates and translates professional video with avatars and professional voiceovers.

To support this goal, NSF is investing nearly $8 million in five projects under the NSF EducateAI initiative. These projects will also benefit from the National Artificial Intelligence Research Resource (NAIRR) Pilot, an NSF-led effort to create a national infrastructure that connects U.S. researchers to essential computational data, software, models and training resources necessary for AI research.

"Magic School AI" is an online platform that utilizes artificial intelligence to provide teachers with a variety of tools to assist in lesson planning, creating assessments, generating educational materials, writing parent communications, and more, essentially aiming to streamline and save time on repetitive tasks within the classroom by automating content creation based on teacher input; it's considered a generative AI specifically designed for educators.

Google Notebook is an AI-powered research and writing assistant that works best with the sources you upload

Speaker Coach provides private, personalized insight into how you spoke during your meeting or presentation, as well as a summary afterwards. Live insights are only seen by you and are not saved in recorded meeting transcripts.

One of the newest areas of educational technology is Artificial Intelligence in the field of Education(AIEd).This study emphasizes the different applications of artificial intelligence in education from both an industrial and academic standpoint. It highlights the most recent contextualized learning novel transformative evaluations and advancements in sophisticated tutoring systems. It analyses the AIEd's ethical component and the influence of the transition on people, particularly students and instructors as well. Finally, this article touches on AIEd's potential future research and practices. The goal of this study is to introduce the present-day applications to its intended audience.

José Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI.

Explains that AI should be to alleviate the burden of repetitive, time-consuming chores, granting us the freedom to pursue activities that ignite our creativity and passion.

Explains that AI should be to alleviate the burden of repetitive, time-consuming chores, granting us the freedom to pursue activities that ignite our creativity and passion.

Report surveyed 1,000 U.S. employers and 974 recent graduates to determine how graduates’ perceptions are changing, the influence of AI on the workforce is increasing, and post-secondary education is evolving.

MIT Media Arts and Sciences addresses Generative AI’s role in design and inclusion by demonstrating applications ranging from K-12 classrooms, higher education, and the workforce.

The article explains how prompts can generate multiple means of expression for explaining concepts and developing ideas.

There’s growing agreement that recent advances in AI represent the dawn of a new age of opportunities for government agencies to address a wide range of pressing global challenges that science is uniquely positioned to help solve.

Part of a series of videos from Professor Mike Sharples' 2023 UCL Education Conference, which gives an example of cooperative creative writing with a Chat GPT

This resource provides a step-by-step strategy for developing generative-assisted assessments that include videos, slides, and case studies.

This presentation presents a tour of AI-assisted tools for instructional designers of online materials, including video from text, text-to-speech, original art creation, and content development.

This systematic examination of AI in higher education from 2016 to 2022 finds that AI’s common uses as an educational tool include: assessment, prediction, assistance, tutoring, and learning administration

Given ongoing Generative AI development, the video describes applications to be implemented in over five years, including a customized personal tutoring device and automated targeted workforce development for all positions serving the US Air Force

Official framework document

Describes a model for prompting Generative AI to perform a specific task from a series of text commands.

AI Magazine is an open-access journal, published quarterly in March, June, September, and December by Wiley on behalf of the Association for the Advancement of Artificial Intelligence (AAAI).

Ask Chron is an AI-powered chatbot developed by The Chronicle of Higher Education Chron will reply with an answer derived from more than 130,000 news articles and opinion pieces in The Chronicle’s digital archive. Each response includes links to the Chronicle articles that the bot used to develop its answers.

This download contains over a dozen assignments for the Generative AI in Education course released under a CC-BY-SA 4.0 license.

Given the rapid evolution and mounting societal impact of generative AI, MIT has an opportunity to promote the technology's responsible and publicly beneficial uses, inform the public conversation, and foster wise, farsighted policy.

Explore AI courses and certificates from top faculty at Cornell University

This series will help institutions scale their faculty development efforts and ensure faculty feel confident and prepared to use AI to support teaching and learning.

This webinar features a panel of experts who will contemplate the impact AI will have on the near-term future of employment in the United States and consider the most important changes higher education can make to develop a well-prepared workforce

This new, fully online institute is designed to help departments, programs, colleges, and universities respond effectively to the challenges and opportunities artificial intelligence (AI) presents for courses and curricula.

On-demand individual course that demonstrates with use cases the latest technology in AI and MR and how these tools can be leveraged to enhance training initiatives.

MIT offers online several AI courses online. Artificial Intelligence: Implications for Business Strategy studies the business impact of artificial intelligence (AI), machine learning (ML), and innovations such as predictive and generative AI — and gain the knowledge to support AI integration into your organization.

Artificial Intelligence and the Future of Teaching and Learning (2023) addresses the need for developing policies around AI in education and provides recommendations to guide further policy development.

The AI Index 2024 Annual Report (2024) tracks, collates, distills and visualizes data relating to artificial intelligence across sectors including education.

The Artificial Intelligence In Education: Teachers' Opinions On AI In The Classroom survey (2024) offers valuable insights into how educators perceive and integrate AI in the classroom, providing scholars with real-world perspectives on the evolving role of AI in education. It highlights practical challenges and benefits, essential for understanding AI's impact on teaching and learning.

The AI in Education A Microsoft Special Report report offers key insights into AI's role in education, highlighting opportunities, challenges, and recommendations, making it essential for scholars studying AI's impact on teaching and learning.

ATD surveyed learning and talent development professionals around the globe to understand our industry’s use of applications that are artificial intelligence (AI) enabled as part of organizational talent and learning initiatives.

Artificial Intelligence Risk Management Framework: The NIST AI RMF, intended for voluntary use, aims to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.

The article argues for a cautious and deliberate approach to integrating generative AI in education. It highlights the potential risks and ethical concerns, advocating for a more measured adoption to ensure responsible use and maintain educational integrity.

The blog features articles throughout the industry. In the article listed, Nicola Wylie reports on current tools for workforce development. Kathy Moore offers tool kits for action design and strategic development products.

Article describes a strategy of an Augmented Connected Workforce that utilizes vast amounts of AI data to develop hyper-personalized learning solutions following tailored learning paths

The article describes AI-augmented competency models that augment hire-to-retire career paths for HR Management .

Integrating artificial intelligence (AI) into higher education is increasingly common, presenting new opportunities and challenges for educators and institutions.

Focused on the technical and practical aspects of AI engineering, offering discussions and insights from practitioners on building and implementing AI systems, with episodes that often explore AI's role in various industries.

Oct 2022: This framework is a set of five principles—identified by the White House Office of Science and Technology Policy—that should guide the design, use, and deployment of automated systems to protect the American public in the age of AI.

Executive Order 14110 “Safe, Secure, And Trustworthy Development and Use of Artificial Intelligence (AI). (October 2023). This EO focuses on ensuring that AI is safe and secure. This will require robust, reliable, repeatable, and standardized evaluations of AI systems, as well as policies, institutions, and mechanisms to test, understand, and mitigate risks from these systems before they are put to use.

The Americans with Disabilities Act and the Use of Software, Algorithms, and Artificial Intelligence to Assess Job Applicants and Employees. This technical assistance document discusses how existing Americans with Disabilities Act (ADA) requirements may apply to the use of artificial intelligence (AI) in employment-related decision making and offers promising practices for employers to help with ADA compliance when using AI decision making tools.

New policy report, part of Biden-Harris Administration's ongoing work to advance comprehensive approach to AI, summarizes the opportunities and risks for AI in teaching, learning, and assessment

Policy recommendations on AI in the writing classroom.

This platform is known for its comprehensive AI-based instructional course creation. It features interactive AI tutors and coaches to help students through lessons, making learning personalized and engaging.

Create Flashcards from any material including diagrams.

This AI tutor offers interactive content like quizzes and flashcards, making learning fun and engaging. It also provides real-time assistance and progress tracking.

Course Hero primarily targets college and university students with its AI-powered tools and resources1. These tools are designed to assist students in understanding their coursework, providing step-by-step explanations, and offering access to a vast library of study materials.

Homework help and test prep.

A GPT-4 powered AI tutor for students, teachers, and parents. The platform is integrated with the Khan Academy content library, covering math, humanities, coding, social studies, and more. Free to start, $4 per month.

Created by MIT Sloan, this resource hub provides foundational knowledge, ethical concerns, and practical advice on incorporating AI into teaching. Information is based on research-driven best practices, resources, instructional technology, and design training, helping the community make an impact in the classroom and beyond. The site includes videos and many free registered live classes and asynchronous presentations.

Marketing site for professionals approaching technical company assistance in AI Integration includes: Practical steps for your institution to get started with AI, insight your institution's higher ed AI maturity model, AI use cases to consider across the student lifecycle, Best Practices by Salesforce leaders supporting institutions on their AI journeys

Stanford University Web Hub featuring articles, course descriptions, and short summaries for professional teacher development.