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Academic librarians are helping both students and instructors navigate the rapidly evolving field of artificial intelligence.

Via Peter Mellow, Bhushan Thapliyal, juandoming

The latest wave of AI tools like ChatGPT seem certain to disrupt the workplace in the years ahead — and the most-disrupted professions may be ones that require college degrees. That presents an unprecedented challenge for colleges already struggling to prove their value.

Via Canadian Vocational Association / Association canadienne de la formation professionnelle, juandoming

Via Canadian Vocational Association / Association canadienne de la formation professionnelle, LGA

A free course covering key introductory learning and teaching concepts and strategies for those in their first few years of university teaching.

Via Peter Mellow, Dennis Swender, LGA

Via ColinHickie, LGA

If you were asked to name the most important innovation in transportation over the last 200 years, you might say the combustion engine, air travel, Henry Ford’s Model-T production line or even...

The next question that is asked is "What's been the single biggest innovation in education?

Anant Agarwal, the head of edX (MIT/Harvard joint "effort to stream a college eduation over the web, free, to anyone who wants one."

How would this change education? This post explores this issue looking at how online courses have the potential to disrupt education and what the long term impact may be.

Via Beth Dichter

Generative AI (GAI) has quickly gained a significant foothold in academia, and is now used widely for teaching, learning, and research purposes.[1] While national trends in student and faculty adoption are unclear, surveys conducted by individual institutions have found that approximately 50 percent to 65 percent of both students and faculty have used ChatGPT or one of its commercial competitors.[2] If current trends continue, in the near future GAI use will be ubiquitous, fully integrated into the core mission of colleges and universities.

Understanding the value of individual products in a now-crowded marketplace is a major challenge for end users and for university CIOs, IT departments, and others involved in decision-making.

While the full effects of this transformation are, at best, clear only in outline, 2023 saw both well-established vendors and start-ups racing to bring GAI applications optimized for use in educational contexts to market. As we write this brief, new products are appearing so rapidly that just keeping up with them is difficult, and understanding the value of individual products in a now-crowded marketplace is a major challenge for end users and for university CIOs, IT departments, and others involved in decision making about which products will be supported and/or licensed for campus users.

Since last fall, Ithaka S+R has been partnering with 19 colleges and universities from the US and Canada to assess GAI’s impact on higher education and make evidence-based, proactive decisions about how to manage the far-ranging effects of GAI.[3] As part of this project, Ithaka S+R has been cataloging GAI applications geared towards teaching, learning, and research in the higher education context. Today, we are excited to make our Product Tracking tool (https://sr.ithaka.org/our-work/generative-ai-product-tracker/) publicly available.

The Product Tracker includes a basic description of each tool, as well as information about the pricing model, key features, and other relevant details such as the large language model (LLM) or datasets behind the tool or background on the vendor. As it would be impossible to track every GAI application that might conceivably be used in higher education contexts, we have limited the Tracker to a) products marketed specifically towards faculty or student use, and b) products that appear to be in active use in teaching, learning, or research activities. At present, the Product Tracker contains data on over 100 GAI tools and applications. While we make no claims to including every relevant or potentially relevant product, the Tracker includes data on the most visible individual products on the market and is comprehensive enough to provide a landscape perspective on the market itself. The Tracker is also a living document which we update regularly to include new products or add new data about existing products. We will continue to do so for at least the remainder of 2024 if the tool retains value to the community.

This issue brief is designed to enrich the descriptive data captured in the Product Tracker. In the brief’s first section, we provide a typology of existing products and value propositions. In the second, we offer observations about what the product landscape suggests about the future of teaching, learning, and research practices, and speculations on the near-term future of the academic GAI market.

Via Canadian Vocational Association / Association canadienne de la formation professionnelle, juandoming

Talent management is considered a new organizational priority in managing people that both academicians and practitioners discuss. The purpose of this research was to examine the role of talent management (TM), knowledge management (KM), university transformation (UT), and academic climate (AC) in increasing the performance of private higher education institutions (PHEIs). This research applied a quantitative approach by collecting data from 382 lecturers who worked at various private universities in Indonesia. Online questionnaires were used to collect the data using a stratified random sampling method. Then these data were analyzed using Structural Equation Modeling–Partial Least Square. The findings indicated that systematic application of talent management and knowledge management, university transformation, and academic climate in PHEIs improves organizational performance. Developing a plan to transform their talent and the business process is the key to emphasizing its importance in shaping the character and quality of PHEIs. The practical implication, PHEIs must offer a conducive academic climate for talented lecturers. The study offers a value-add to the resource-based view theory, managing talent and knowledge as essential resources for organizational transformation to maximize organizational performance.

Via Canadian Vocational Association / Association canadienne de la formation professionnelle, juandoming

A learning framework can help students understand their transition from higher education to the professional world as well as support their holistic experience of university life

Via Peter Mellow, LGA

Higher education officials are bombarded with pitches for how the latest emerging technologies are going to upend their students’ learning experiences and professors’ instructional methods. From online courses to learning management systems to autograders to AI-enabled “tutors,” schools have no shortage of products claiming to offer transformative change.

Via Elizabeth E Charles, juandoming