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"Last week, I had the honour of keynoting a talk for The Manitoba Association of Computing Educators called Technology as the Ultimate Equalizer in which I shared accessibility tools students with learning disabilities could use to help their achievement match their potential. This included Artificial Intelligence (AI) tools such as Rewordify and Quillbot which students could use to simplify dense text  if they have verbal comprehension issues and Dictation.io which can be used by students with slow processing speed to help them get their ideas on paper as well as many others. But never until now, has there been such uproar about the impact of AI in the classroom as with the introduction of an open source AI tool, Chat GPT which has everyone talking about The Death of the Essay and other woes in education."

"The adoption of generative artificial intelligence (genAI) has shuffled the list of top skills businesses want from professionals in 2024, according to a new job site study and education industry data. Far from replacing workers, genAI appears poised to transform the way technologists and others work, allowing them to focus more on creative tasks such as product development, and less on mundane tasks that can be automated."

"Leading in an era of rapidly advancing artificial intelligence (AI) requires that leaders articulate a clear vision, build consensus around it, communicate effectively with the school community, and allocate support and resources for their policies.  This is no small challenge: As school leaders, you must pave a path forward in uncharted educational terrain and make decisions that will impact the role of AI in schools. Doing so requires consideration of the following questions: How can AI help schools embrace innovative instructional practices? What policies and supports are required to ensure responsible use of AI? How do we communicate AI policies to staff, students, and families to foster understanding? "

"The explosion of generative AI has created significant challenges and sparked new opportunities for our students. So, how do we decide when students should and should not use AI? In this article and podcast, I explore seven key areas you might consider as you craft the policies and design the systems within your school."

"Many of us in Canada have seen the Heritage Minutes film about the invention of basketball by Canadian James Naismith in 1891, back when the game was played using a peach basket. Today, inventing a sport is a little more high tech. A design firm in Portland, Oregon, recently introduced Speedgate, the world's first sport invented with the help of artificial intelligence."

"Artificial intelligence (AI) is rapidly transforming the world we live in. From using generative AI for schoolwork to dealing with misinformation and befriending AI chatbots, students have a lot to consider when it comes to this ever-evolving technology. This collection of quick lessons (20 minutes or less!) provide an introduction to AI and help address its social and ethical impacts. Through these lessons, students will: Understand what AI is and how it works Consider some of its potential benefits and risks Think critically about how we can be responsible and ethical users of AI"

"The advent of artificial intelligence has understandably raised questions about its potential impact on human labor. While these fears are valid and warrant serious consideration, a closer look reveals a more nuanced-and ultimately more hopeful-reality. New data from Microsoft and LinkedIn's Work Trend Index reveals a workplace that's actively seeking out employees with the skills to leverage AI for business impact, and a workforce that's turning to AI as an antidote to burnout and overwhelming workloads. Far from replacing human talent, AI is creating new opportunities for those who can master its use and apply it to real business challenges. These AI power users are reshaping the workday and reaping the benefits, providing a glimpse into the future of work."

Twine's features presented in bullets: 1. Social bookmarking service, 2. Central storage for documents, images, videos and other data (from your machine or from the web, 3. Media viewable inside Twine, bookmarked or uploaded. (videos, images, etc.), 4. Collaborative platform with wiki-like editing/built in text editor, 5. User-created groups with discussion boards, 6. Intelligent analysis of added content (more on this below), 7. A recommendation engine to help discover information & people relevant to you and your interests Do note that this list is not complete

"Bias is a fundamental human characteristic. We are all biased, by our very nature, and every day we make countless decisions based on our gut feelings. We all have preconceived ideas, prejudices, and opinions. And that is fine, as long as we recognize it and take responsibility for it. The fundamental promise of AI, besides the dramatic increase of data processing power and business efficiency, is to help reduce the conscious or unconscious bias of human decisions. At the end of the day, this is what we expect from algorithms, isn't it? Objectivity, mathematical detachment rather than fuzzy emotions, fact-based rather than instinctive decisions. Algorithms are supposed to alert people to their cognitive blind spots, so they can make more accurate, unbiased decisions. At least that's the theory…"

"Computational thinking isn't new. Three decades ago, Seymour Papert introduced computational thinking when he developed the concept of bricolage, which is the construction of something new from many sources. He rightly understood the significance of computers, and with computational thinking, he surmised that they would not only be an integral part of our educational process, but we would need to acquire new ways for learning when using computers. In essence, the bricoleur builds knowledge by engaging in a process of building precise steps that encourage the construction of knowledge. Papert recognized that over time, the learner's theory may change as the result of refining his or her responses in any of the four stages of computational thinking. Even before Papert's work, however, educational visionaries insisted that the way to solve problems in any field was by adopting sequential problem-solving methods, which became algorithmic or computational thinking. In short, we use computational thinking (CT) to solve problems."

"How to Prepare the Next Generation for Jobs in the AI Economy"

"It's time we considered the increasing impact of AI in education. Educators have already previewed examples of the changes coming their way. Automation technology has been introduced for a variety of basic teaching tasks."