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Scooped by
Yashy Tohsaku
Today, 12:29 PM
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The technology is always on call and is quite competent. But it lacks the contemplation and attention to detail that yield great works of art.
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Scooped by
Yashy Tohsaku
Today, 12:23 PM
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Ed tech is supposed to give teachers more time to mentor. It’s not clear if it does.
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Scooped by
Yashy Tohsaku
Today, 12:14 PM
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Research shows that a hidden American worldview can shape AI advice in ways that are culturally misleading.
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
Today, 12:09 PM
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What does it mean to decolonize a syllabus? Ciera Smith outlines steps to audit readings, diversify perspectives, and engage students in learning.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from Edumorfosis.it
April 3, 5:50 PM
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For English professor Dan Cryer, using generative artificial intelligence to write a college essay is like bringing a forklift to the gym.
“If all we needed was the weights moved, then that would be great,” says Cryer, who teaches at Johnson County Community College outside Kansas City, Kansas.
“But we need the muscles developed, and students going through the process of writing are developing those muscles.”
Cryer says AI has also added a new type of labor for professors like him: trying to determine whether a student’s work is their own. He says that problem is compounded by the fact that his community college, like many other higher education institutions around the U.S., provides students access to AI tools.
Via Edumorfosis
"AI agents are starting to look less like chatbots and more like services. They can coordinate tasks, call tools and make changes in production systems without a human reviewing every step. For large enterprises, that autonomy is both an opportunity and a risk. The question is no longer whether an AI system can generate a good answer. It is whether you can govern what the system does."
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:48 PM
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Relying entirely on a vendor’s AI means adopting their hidden assumptions, which is why teams should build their own intelligence layers.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:47 PM
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Delve into what beginners actually want to know about Artificial Intelligence and how to design an AI course that works for them.
Via Vladimir Kukharenko
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Scooped by
Yashy Tohsaku
April 3, 5:46 PM
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LeapSpace is a research-grade AI workspace powered by trusted scientific content. Discover literature faster, plan research, and find funding with confidence.
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:45 PM
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Can Large Language Models understand how students learn? As LLMs are deployed for adaptive testing and personalized tutoring, this question becomes urgent -- yet we cannot answer it with existing resources. Current educational datasets provide only question identifiers and binary correctness labels, rendering them opaque to LLMs that reason in natural language. We address this gap with FoundationalASSIST, the first English educational dataset providing the complete information needed for research on LLMs in education: full question text, actual student responses (not just right/wrong), records of which wrong answers students chose, and alignment to Common Core K-12 standards. These 1.7 million interactions from 5,000 students enable research directions that were previously impossible to pursue, from fine-tuning student models to analyzing misconception patterns. To demonstrate the dataset's utility, we evaluate four frontier models (GPT-OSS-120B, Llama-3.3-70B, Qwen3-Next-80B variants) on two complementary task families: Knowledge Tracing, testing whether LLMs can predict student performance on questions, and the exact answer a student will give; and \textbf{Pedagogical Grounding}, testing whether LLMs understand the properties that make assessment items effective. Our evaluation reveals significant gaps in current LLM capabilities. Every model barely achieves a trivial baseline on knowledge tracing. All models fall below random chance on item discrimination, indicating that LLMs do not understand what makes one problem more diagnostic than another. Models do show competence at judging relative difficulty (up to 68.6%), but this partial success only highlights the gaps elsewhere. These results establish that substantial advances are needed before LLMs can reliably support personalized learning at scale. We release FoundationalASSIST to support progress on these foundational challenges.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:43 PM
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Hundreds of global technology experts share insights, urging an all-encompassing systems response by leaders to serve humanity’s best interests in light of rapid technological change The vast majority o
Via Vladimir Kukharenko
"With the rapid advancement of generative artificial intelligence (GenAI) technology, the potential educational applications of Chat generative pre-trained transformers (ChatGPT) have attracted significant attention. However, the research on the specific effects of ChatGPT on student learning outcomes and its moderating factors remains insufficient. This study aimed to quantify the effects of ChatGPT on student learning outcomes and explore relevant moderating variables using a meta-analysis approach."
Via EDTECH@UTRGV
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Scooped by
Yashy Tohsaku
Today, 12:27 PM
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Chatbots tend to produce solid writing, but their prose largely reflects a single, uniform voice.
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Scooped by
Yashy Tohsaku
Today, 12:16 PM
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Explore AI prompts for eLearning and discover how they improve digital training content and streamline development.
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
Today, 12:09 PM
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
Today, 12:08 PM
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The open web is under pressure from AI companies and large platforms, but its troubles did not start with AI. We also chose convenience over control, and we will have to change that if we want a better web.
Via Vladimir Kukharenko
"Artificial intelligence (AI) is quickly moving beyond chatbots and copilots. A new generation of AI agents is beginning to perform real actions. These agents can access APIs, move money, retrieve data, write code, interact with customers and even coordinate other agents. That shift raises a simple but critical question: Who is watching what the agent actually does?"
Via EDTECH@UTRGV
"The rise of generative AI in higher education is reshaping how feedback is delivered, but meaningful learning could be undermined if its use is not carefully guided by principles of care, trust and connection, according to new research led by the University of Surrey. Published in Assessment & Evaluation in Higher Education, the paper explores how generative AI technologies, including chatbots such as ChatGPT, are transforming feedback for students—highlighting both the opportunities and risks of AI in education."
Via EDTECH@UTRGV
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:48 PM
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Relying entirely on a vendor’s AI means adopting their hidden assumptions, which is why teams should build their own intelligence layers.
Via Vladimir Kukharenko
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Scooped by
Yashy Tohsaku
April 3, 5:47 PM
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LeapSpace is a research-grade AI workspace powered by trusted scientific content. Discover literature faster, plan research, and find funding with confidence.
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:45 PM
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Stephen Downes: news, opinion and dialogue around learning technology, new media, open access, and related issues.
Via Vladimir Kukharenko
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Rescooped by
Yashy Tohsaku
from e-learning-ukr
April 3, 5:45 PM
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Alan Levine is one of the most active advocates in the open world. Every day, he manages to share online a website, an initiative or an idea that advances the open movement somewhere in the world. In this article, he draws on his own experiences to explain why it is not wise to organise gratitude, but rather to rely on its serendipity.
Via Vladimir Kukharenko
AI is already in young children's lives. Sweta Shah explains the current landscape of AI-enabled products affecting young children.
Via Dr. Tom D'Amico (@TDOttawa)
A pilot study analyzing college students’ writing with AI shows an interactive process, from brainstorming to editing the output produced by chatbots.
Via EDTECH@UTRGV
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