AI

Open Praxis is a peer-reviewed open access scholarly journal focusing on research and innovation in open, distance, and flexible education. It is published by International Council for Open and Distance Education - ICDE Web of Science (ESCI) Impact Factor for 2023 is 0,9; ranked 457 out of 759 in Education and Educational Sciences in Q3. Facts and Figures: 2024 article acceptance rate is 33%, rejection rate is 67% (13% desk rejections - 54% rejections after review). While the number of days for acceptance is 44, the number of days for rejection is 16.

Large Language Models like ChatGPT are praised as potential saviours or threats to education. While they promise personalised learning and assistance, their limitations are evident. Without a deep …

If your assignment allows use of AI and you choose to use it, describe how you interacted with it, and include it in your list of citations.

One of the most powerful tools we have in curbing AI misuse and shaping its ethical adoption is also one we struggle with employing. Talking with students is harder now than it was before the pandemic. Talking with one another is likewise strained with increasing political tension. And, yet, the power of a persuasive conversation can be a far more powerful tool than any AI detector. Indeed, many of us forget as we’ve aged just how formative some of the earliest discussions we’ve had with teachers shaping how we learn. I’m willing to wager that a conversation has more power in shaping the trajectory of AI adoption among certain groups than any tech marketing.

The purpose of this article is to explore theoretical and practical considerations for decolonizing academic integrity. I explore values associated with academic integrity, including both Western a...

In this article I explore the concept of postplagiarism, loosely defined as an era in human society and culture in which advanced technologies such as artificial intelligence and neurotechnology, including brain-computer interfaces (BCIs), become a normal part of life, including how we teach, learn, communicate, and interact on a daily basis. Ethics and integrity are intensely important in the postplagiarism era when technology cannot be decoupled from everyday life. I argue that it might be reasonable to assume that when commercialized neuro-educational technology is readily available in a form that is implantable/ingestible/embeddable and invisible then academic integrity arms race will be over, as detection will be an exercise in futility.In a postplagiarism era, humans are compelled to grapple with questions about ethics and integrity for a socially just world at a time when advanced technology cannot be unbundled from education or everyday life. I conclude with a call to action for transdisciplinary research to better understand ethical implications of advanced technologies in education, emphasizing that such research can be considered pre-emptive, rather than speculative. The ethical implications of ubiquitous artificial intelligence and neurotechnology (e.g., BCIs) in education are important at a global scale as we prepare today’s students for academic and lifelong success.

The topics of equity, diversity, inclusion, decolonization, and Indigenization have been neglected in academic and research integrity. In this article, I offer examples of how these issues are being addressed and argue that academic integrity networks and organizations ought to develop intentional strategies for equity, diversity and inclusion, and decolonization in terms of leadership, scholarship, and professional opportunities. I point out that existing systems perpetuate the conditions that allow for overrepresentation of reporting among particular student groups including international students, students of colour, and those for whom English is an additional language. I conclude with concrete recommendations for action.

Former SNHU President Paul LeBlanc and others discuss why institutions must embrace AI to reestablish the relevance of higher education.

The professors call their approach “restrained generative AI,” and they’ve already built a prototype software tool that is being piloted in 10 courses at the university this semester.

The AI avatars—which can look like students’ professors—are intended to answer course questions 24-7.

An experiment, demo & prompt for you to try

The adaptation and use of AI is not just a workplace issue—its a societal one.

GMTech enables you to compare all the best language models and image generators in one application for one subscription price.

Nursing students who use generative AI and prompt engineering must ensure that their academic work accurately reflects their commitment to ethical practice in healthcare

Jon Ippolito on a more critical framework for AI use (amongst other topics) on episode 524 of the Teaching in Higher Ed podcast

Understanding how instructors are (or are not) using generative AI in their classrooms is vital because most college and university guidelines leave decision making about how, when, and if generative AI use is permitted to the discretion of individual instructors. To gain insight into evolving instructional practices, we included a short four-question section dedicated specifically to generative AI as part of a national survey of instructors.

University of Reading project poses questions for ‘integrity’ of coursework and take-home student assignments

Software that can record and transcribe class talks and discussions is becoming increasingly common, but some fear it could prove detrimental to long-term learning

The ABC's of AI: What Educators Need to Know Session Agenda - bit.ly/curts-ai 🧔 Presenter Eric Curts Technology Integration Specialist, Google Certified Trainer and Innovator 💡 Eric’s EdTech blog - controlaltachieve.com 📧 Email - [email protected] 🐦 Socials: Threads - X - Faceb...

Concerns about privacy and access mount as more colleges and students use the devices. Experts say the technology should be embraced using “common-sense” guidelines.

A new study shows that many people with autism embrace ChatGPT and similar AI tools for help and advice as they confront problems in their workplaces. But does that use of AI make sense?

A large proportion of recruiters are using generative artificial intelligence tools (or GenAI) to source interview questions. As a job candidate, you can go to the same source to gain a competitive advantage. Here are some easy ways to leverage GenAI ahead of your next job interview to set yourself up for success. Gather intel on the company culture. GenAI can provide you with quick and easy intel to assess the employee experience at different firms. Prior to your interview, ask ChatGPT, or another GenAI tool, to provide you with the pros and cons of the company you’re interviewing at. Unpack keywords and skills in the job description. Choose a few keywords or skills, and ask GenAI to tell you a little more about what companies generally look for when analyzing them. When crafting your answers to potential interview questions, use that information to demonstrate why you’re a good match for the role. Get guidance on interview questions, and how to answer them. You can ask GenAI what kind of interview questions are most common, how to best answer them, and what a hiring manager would typically try to assess. You can also ask about what mistakes you should try to avoid, as well as best practices for interview etiquette. Hold mock interview sessions. Some GenAI tools are designed to hold mock interview simulations, in which GenAI plays the role of an interviewer or interviewee. Others, such as ChatGPT, can evaluate your answers to interview questions and provide you with generic feedback.