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Yashy Tohsaku
onto Education 2.0 & 3.0 Today, 10:02 AM
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Learn practical strategies to improve online student retention by reducing anxiety, building connection, and empowering students to persist and succeed.
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Microcredentials that respond to student and employer needs require industry-backed, thoughtful design, writes Karla Margarita Banda Martínez, who offers guidance Via Vladimir Kukharenko
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The outcome-based contract model can be a good way to increase efficiency and get more bang for the edtech budget buck.
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Assessment after AI is not about fear, but rather about intentional and purposeful design
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Learn practical strategies to improve online student retention by reducing anxiety, building connection, and empowering students to persist and succeed.
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AI cheating will decrease, the techlash will continue, and other predictions for the coming school year.
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Learn practical strategies to improve online student retention by reducing anxiety, building connection, and empowering students to persist and succeed.
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An oral exam can show how students have meaningfully engaged with a topic. But it shouldn’t be used as a litmus test for AI use. Via Peter Mellow
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How to embed short, structured company projects into courses, from securing institutional support to building lasting relationships with external organisations Via Vladimir Kukharenko
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The choice isn’t between distributing AI and not having it. AI is coming regardless of what anyone decides. So the real choice is between a broadly distributed capability and a concentrated one. Via EDTECH@UTRGV 
EDTECH@UTRGV's curator insight,
August 18, 2:11 PM
"There is no version of the next decade in which advanced AI is scarce and someone responsible is deciding who gets it. That world is gone. It ended without an announcement and without a vote."
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EDTECH@UTRGV's curator insight,
August 18, 2:13 PM
"With good intentions, we pushed AI onto schools — chatbot licenses, prompting workshops, tool rollouts — before redesigning any of the teaching and learning underneath. And the assessment underneath is, overwhelmingly, product-based.Something AI can now do better than most humans."
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Learn five practical ways to verify student learning and assess genuine understanding in higher education when AI tools are part of the learning environment. Via Vladimir Kukharenko
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EDTECH@UTRGV's curator insight,
August 17, 11:10 AM
"For educators, Atlas is an example of how AI is evolving beyond general-purpose chatbots into subject-focused learning assistants. While it shouldn't replace classroom teaching or critical thinking, it can help students review difficult topics, organize information, and prepare for assessments when used appropriately." |
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Reflection is what moves teaching beyond performance and towards continuous improvement, writes William Owen Via Vladimir Kukharenko
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From
seths
"Teaching and learning aren’t always aligned.
Sometimes organized teaching is defensive. “Here, take all this down in your notes, it will be on the test.” This gives the teacher deniability, but might not create the conditions for the student to actually learn.
The alternative is to seek the “aha.” This is the autodidact moment, the opportunity to teach ourselves.
Most online courses and videos simply tell you the answer. Easier to get clicks that way. But the best learning is almost always autodidactic.
When the teacher creates the conditions for learning, the student does the work.
This requires trust. Trust in the process and trust in the destination.
And it requires tension. The tension of it might not work and the incentive to put in the work.
Great teachers set it up, and great students find the aha." Via Ana Cristina Pratas
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Aka, the four conditions that decide whether learners love AI feedback, or loathe it.
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Use these best AI teaching tools to educate across subjects with intelligent digital assistance.
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These mindfulness apps are ideal for use in schools to help students better focus and improve their overall wellbeing
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From
every
100 thinkers and builders call their shot on the future of great human work with AI
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From
blog
District leaders need evidence that AI tools support improvement goals. Learn how to measure capacity, audit bundled and personal tools, uncover equity gaps, and make defensible budget decisions with confidence. Explore this and more at TCEA TechNotes Blog, your go-to source for educational technology and teaching innovation.
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Educators often understand the benefits of inclusivity but lack the skills to embed it into courses and curricula. An inclusive design toolkit can bridge institutional ambition and everyday teaching practice Via Vladimir Kukharenko
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How to embed short, structured company projects into courses, from securing institutional support to building lasting relationships with external organisations Via Vladimir Kukharenko
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Last year, the online and professional education association UPCEA urged institutions to close the gap between student expectations on institutional preparedness for online learning as part of its annual report on the Benchmarking Online Enterprises Survey. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
August 18, 2:18 PM
"Growth in online education is real and ongoing...but long-term sustainability depends on how well institutions align their governance structures, financial models and program strategies with their broader institutional mission."
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Specification grading integrates aspects of mastery grading (meeting proficiency before continuing to the next topic), competency-based grading (expands on mastery but allows students to determine the level of competency met by selecting specific assessments to complete), and contract grading (students negotiate a contract with the instructor to complete specific amount or type of assessments) to ensure students meet the learning objectives for a course (Nilson 2015, Bonner 2016, Towsley and Schmid 2020, Howitz et al. 2021). Via Vladimir Kukharenko
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From
qz
From pattern recognition to alignment failures, a clear-eyed guide to what's actually happening inside the AI systems reshaping work, media, and daily life Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
August 17, 11:08 AM
"[T]he gap between what AI can do and what people believe it's doing creates real problems. People anthropomorphize systems that have no inner experience. They trust outputs that are confidently wrong. They assume AI is "thinking" when it's doing something quite different." |
