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KI-generiert Fragen, Positionen und Verbindungen von einem KI-Modell aus den Zitaten und Zahlen dieser Seite benannt. Jedes Zitat wird Wort für Wort mit seiner Quelle abgeglichen; Zahlen stammen nur aus den gezeigten Umfragen. Wie diese Seiten entstehen
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Medien
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Meinungen
Die Fragen, über die das Feld streitet, und jede Seite in den Worten derer, die sie vertreten.
Should education prioritize knowledge or the ability to judge and verify it?
Build knowledge first
Judgment depends on knowledge, so education must provide students with a foundation they can use to assess ideas.
But I don't think it replaces critical reasoning and thinking. And I think this is true for, for universities in many ways.
Higher education should discern, certify, and evaluate whether learning is real, rather than focus mainly on delivering knowledge.
So is the future of higher ed. The ability to discern, certify and evaluate that the learning is real versus the historical cadence of higher education is about providing the knowledge.
Let students use AI, but add oral presentations or defenses to show their own understanding.
I still have my students write two papers in my class, but this year I'm adding an oral defense component for the final paper. Not because I tell them to not use AI. I tell them to use it, but they better learn it.
We also had to restructure the project a bit, add like oral presentation component to it and bring some more interaction to make sure that essentially we're educating the human, not just testing the capabilities of Claude. Right. Those are very different things.
Should institutions follow common models or adapt their rules to local strengths?
Adapt to local strengths
Institutions can transfer a decision-making process while setting different rules to fit their distinct strengths and weaknesses.
I think the Process is transferable. I think how an institution lands as to what is centralized, what is decentralized, can be different because every institution has strengths and weaknesses that are not identical.
Institutions should question whether inherited educational practices are necessary and be willing to replace them.
So if we know that we cannot stay here and there's plenty of things that need fixing, let's burn it down and do something that matters and figure out how to use this appropriately.
We all kind of just assumed that what was tradition was regulation. We all assumed that what is doctrine, if you will, what is somehow the only way to do education?
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Links: am meisten geteilt auf Mastodon-Servern, von einem KI-Modell nach Feld eingeordnet. Beiträge: eine Zufallsstichprobe von Bluesky, von einem KI-Modell eingeordnet.
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Higher education is being framed less as the delivery of knowledge alone and more as verifying learning, building judgment, and adapting assessment to AI.
So is the future of higher ed. The ability to discern, certify and evaluate that the learning is real versus the historical cadence of higher education is about providing the knowledge.
Prognosen und Visionen, mit dem Datum, an dem sie gesagt wurden, und dem, an dem sie sich prüfen lassen.
The next AI divide will not be between students who use a chatbot and students who do not. It will be between students who can ask a system for an answer and students who can decide whether that answer deserves to be trusted.
So is the future of higher ed. The ability to discern, certify and evaluate that the learning is real versus the historical cadence of higher education is about providing the knowledge.
I would rather take big swings and miss than not swing at all. This is the moment for universities like USC to take advantage of the disruption, take advantage of some of the chaos that we're seeing.
Verbreitete Behauptungen und was die Quellen stattdessen zeigen.
Oft gesagt
AI use in education is only a question of preventing cheating.
Was die Quellen zeigen
The cited positions also focus on verifying learning, teaching judgment, and designing assessments that reveal human understanding.
So is the future of higher ed. The ability to discern, certify and evaluate that the learning is real versus the historical cadence of higher education is about providing the knowledge.
Add an oral defense to written work while allowing students to use AI.
I still have my students write two papers in my class, but this year I'm adding an oral defense component for the final paper. Not because I tell them to not use AI. I tell them to use it, but they better learn it.
Restructure projects with oral presentations and interaction to assess the student rather than the AI system.
We also had to restructure the project a bit, add like oral presentation component to it and bring some more interaction to make sure that essentially we're educating the human, not just testing the capabilities of Claude. Right. Those are very different things.
Give staff time to experiment with language models before setting guidance on their use.
I had my employees spend an hour a day playing with whatever LLM that they wanted without consequence because I could not have the conversation with them about what is good and what is bad because none of us understood it.
Separate rule-setting from evaluation so another group can assess whether the rules work.
So you get to pick the rules, but a different group gets to evaluate its efficacy. And so then as a result, there's an objective lens to say, okay, this isn't working.
Require experiential or immersive opportunities as part of graduation for some majors.
But it's really, really important for us to be intentional about providing those opportunities to students. In fact, more than half of our majors actually require experiential or immersive experiences as part of the graduation requirements.