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The purpose of this study was to determine the implementation of the moodle and edmodo learning management system (LMS) in education, to identify the specific features of the LMS that were utilized in the learning process, and to assess the impact of
There is one shift that will radically improve asynchronous discussions: a structured conversation system (Coker, 2022). A structured conversation system (SCS) is as easy as 1-2-3.
As educators and students grapple with what is allowed when using generative AI (GenAI) tools, I have compiled five tips to help you design or redesign academic integrity statements for your syllabus, assignments, exams, and course activities.
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ORIGINAL DESIGN - DENNY HAMMOND
ORIGINAL LINK: bit.ly/aitoolsforeducators
Denny Hammond Ed. Tech/Data Coach @ Adena Local Schools
Social Media Email: denny.hammond@adenalocalschools.com LinkedIn: linkedin.com/in/denny-hammond Twitter/X: DennyHammondEd Youtube: @dennyhammond8449
Author(s): Ramly, Claudia; Sen, Ayon; Kale, Ved; Rau, Martina A.; Zhu, Jerry | Abstract: Bar charts are common visual tools used to convey statistical information. Even though bar charts are effective in making abstract concepts more accessible, poorly-designed bar charts - whether designed intentionally or unintentionally - can easily mislead the viewer. For example, a poorly-designed bar chart may only present part of the effective range on the vertical axis. This exaggerates the contrast among bars, leading an unsuspecting graph viewer to wrong conclusions. More broadly, misrepresentation in data visualization is becoming an increasing societal problem contributing to daily misinformation. This paper presents a computational and cognitive solution to this problem. Our idea is to train viewers by showing them a few dozen carefully designed bar charts that are misleading, together with guidance on why these bar charts are misleading. We then test whether the viewers identify similarly misleading bar charts in the future. Importantly, we use neural networks and cognitive models to optimize the training (i.e., the design of those few dozen bar charts). Our experiment shows that perceptual trainings can help viewers not be fooled by similar misleading graphs in the future.
Explore how Artificial Intelligence is revolutionizing eLearning, by enhancing personalized learning and optimizing content delivery.
I saw this tweet yesterday from @deepfates, and I am very on board with this: Watching in real time as “slop” becomes a term of art. the way that “spam” …
With the precipitous changes of the platform formerly known as Twitter, brought on by the change of ownership in late 2022, many networked educators sought, and continue to seek, new digital spaces to continue fostering and developing their digital practice. The authors of this article had all been actively networked on Twitter, and wanted to explore these changes in their professional worlds. As we sought out these spaces we critically began to interrogate our own practices on this platform to gain a deeper understanding of our practice going forward. We’ve approached this exploration through three vectors: an examination of the terms we use to describe movement from platform to platform, digital identity formation and disruption, and building human connection in digital spaces. The findings from our exploration yielded the following conclusions: (1) With regard to metaphors of movement (i.e., “migration”) we leave space open as to which metaphor to use as no metaphor is a perfect fit to explain the complexity of this phenomenon. (2) Digital identity/ies are multifaceted and sometimes place-specific, but some networked affordances seemed to encourage an ever-evolving digital identity more than other spaces. (3) Finally, digital spaces afford us the ability to carve out our own communities from the wider academic community, in the process developing a more owned and voiced identity. However as social media platforms are fleeting, those connections – and identities – are in danger of getting co-opted or deleted as platforms rise and fall.
Educators across the world use Perplexity to find trusted answers to their infinite questions. Join our free 7-day AI Search for Educators course.
Tracking teaching, grades and research productivity with electronic systems is affecting staff independence and well-being, union-backed survey finds
Data literacy skills are increasingly important in the modern workplace. Ermal Haranlli, Nedelin Velikov and Kehara Warnakulasuriya offer their advice on readying your students for the future
Another AI in Education tool, EduEase uses AI to take any PDF and create a quiz. Best of all, you can give your students a link to take it online.
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The purpose of this study was to determine the implementation of the moodle and edmodo learning management system (LMS) in education, to identify the specific features of the LMS that were utilized in the learning process, and to assess the impact of
In 2020, UF CJC Online developed a comprehensive course design strategy to elevate its online courses, a mission mandated by the State University System of Florida’s 2025 Strategic Plan for Online Education.
Since its launch in April 2023, Turnitin's AI writing detection tool has reviewed over 200 million papers, with data showing that more than half of students continue to use AI to write their papers.
One of the things we try to do on this show is introduce people to various higher education systems around the world … Continued
We analyse the effects of AI on student experience, consider AI’s benefits and risks, and identify 11 strategies to support universities.
Digital platforms are routinely used in universities to support teaching and learning, but they can also challenge academic freedom and intellectual property (IP) rights. In our new report for Education International, ‘Behind the platforms: Safeguarding intellectual property rights and academic freedom in Higher Education’ , we reviewed the landscape of edtech platforms used in higher education (HE) to facilitate learning and assessment, closely examining their terms of use and privacy policies to make sense of the challenges they pose to academic freedom and intellectual property.
In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, including autonomously constructing a payment processing site from scratch, creating a song indistinguishable from a new song by a popular musician, and autonomously downloading and fine-tuning a large language model. If science continues undisrupted, the chance of unaided machines outperforming humans in every possible task was estimated at 10% by 2027, and 50% by 2047. The latter estimate is 13 years earlier than that reached in a similar survey we conducted only one year earlier [Grace et al., 2022]. However, the chance of all human occupations becoming fully automatable was forecast to reach 10% by 2037, and 50% as late as 2116 (compared to 2164 in the 2022 survey). Most respondents expressed substantial uncertainty about the long-term value of AI progress: While 68.3% thought good outcomes from superhuman AI are more likely than bad, of these net optimists 48% gave at least a 5% chance of extremely bad outcomes such as human extinction, and 59% of net pessimists gave 5% or more to extremely good outcomes. Between 38% and 51% of respondents gave at least a 10% chance to advanced AI leading to outcomes as bad as human extinction. More than half suggested that "substantial" or "extreme" concern is warranted about six different AI-related scenarios, including misinformation, authoritarian control, and inequality. There was disagreement about whether faster or slower AI progress would be better for the future of humanity. However, there was broad agreement that research aimed at minimizing potential risks from AI systems ought to be prioritized more.
OECD Information for journalists, The 2024 OECD Ministerial Council Meeting (MCM) has adopted revisions to the landmark OECD Principles on Artificial Intelligence (AI). In response to recent developments in AI technologies, notably the emergence of general-purpose and generative AI, the updated Principles more directly address AI-associated challenges involving privacy, intellectual property rights, safety, and information integrity.
The recent emergence of generative AI (GenAI) tools such as ChatGPT, Midjourney, and Gemini have introduced revolutionary capabilities that are predicted to transform numerous facets of society fundamentally. In higher education (HE), the advent of GenAI presents a pivotal moment that may profoundly alter learning and teaching practices in aspects such as inaccuracy, bias, overreliance on technology and algorithms, and limited access to educational AI resources that require in-depth investigation. To evaluate the implications of adopting GenAI in HE, a team of academics and field experts have co-authored this paper, which analyzes the potential for the responsible integration of GenAI into HE and provides recommendations about this integration. This paper recommends strategies for integrating GenAI into HE to create the following positive outcomes: raise awareness about disruptive change, train faculty, change teaching and assessment practices, partner with students, impart AI learning literacies, bridge the digital divide, and conduct applied research. Finally, we propose four preliminary scale levels of a GenAI adoption for faculty. At each level, we suggest courses of action to facilitate progress to the next stage in the adoption of GenAI. This study offers a valuable set of recommendations to decision-makers and faculty, enabling them to prepare for the responsible and judicious integration of GenAI into HE.
In 2020, UF CJC Online developed a comprehensive course design strategy to elevate its online courses, a mission mandated by the State University System of Florida’s 2025 Strategic Plan for Online Education.
Although Anadolu University is a dual mode higher education institution, it has been acting as an open university since 1982 and offering quality undergraduate education to millions in Turkiye. In 2023-2024 Fall semester, over a million students
There is one shift that will radically improve asynchronous discussions: a structured conversation system (Coker, 2022). A structured conversation system (SCS) is as easy as 1-2-3.
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