Artwork

New Books Network에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 New Books Network 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Common Ground Scholar: A Discussion with Bill Cope and Mary Kalantzis

1:40:38
 
공유
 

Manage episode 290872214 series 2917054
New Books Network에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 New Books Network 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Listen to this interview of Bill Cope and Mary Kalantzis, creators of the website newlearningonline.com and also professors at the College of Education, University of Illinois. We talk about monastic instruction in the sixth century, we talk about textbook learning in the sixteenth century, and we talk about cybersecurity education in the twenty-first century, but overall we talk about imbalances in self agency.

Interviewer: "Could you describe one pedagogical affordance of the technology on your learning platform CGScholar?"

Bill Cope: "So, what we're doing is we're using big data and learning analytics as an alternative feedback system. So, what we say, then, is, okay, well: 'The test is dead! Long live assessment!' We have so much data from CGScholar. Why would you create a little sample of an arrow or two at the end of a course, when we can from day one be data mining every single thing you do? And by the way, by the end of the course, we have these literally millions of data points and for every student. Now, the other thing, as well, is, our argument is––and we call this recursive feedback––is that every little data point is a piece of actionable feedback. Someone makes a comment on what you do, you get a score from somebody on your work against a Likert scale...so what we're doing is, we have this idea of complete data transparency, but also, we're not going to make any judgments for you or about you, or the system's not going to do it, without that feedback being actionable, so that you can then improve your work. It feeds into your work. So, the difference is, instead of assessment being retrospective and judgmental, what we're doing is making micro-judgments which are prospective and constructive and going towards your learning."

Visit the Learning Design and Leadership Program here and visit CGScholar here.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

397 에피소드

Artwork
icon공유
 
Manage episode 290872214 series 2917054
New Books Network에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 New Books Network 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Listen to this interview of Bill Cope and Mary Kalantzis, creators of the website newlearningonline.com and also professors at the College of Education, University of Illinois. We talk about monastic instruction in the sixth century, we talk about textbook learning in the sixteenth century, and we talk about cybersecurity education in the twenty-first century, but overall we talk about imbalances in self agency.

Interviewer: "Could you describe one pedagogical affordance of the technology on your learning platform CGScholar?"

Bill Cope: "So, what we're doing is we're using big data and learning analytics as an alternative feedback system. So, what we say, then, is, okay, well: 'The test is dead! Long live assessment!' We have so much data from CGScholar. Why would you create a little sample of an arrow or two at the end of a course, when we can from day one be data mining every single thing you do? And by the way, by the end of the course, we have these literally millions of data points and for every student. Now, the other thing, as well, is, our argument is––and we call this recursive feedback––is that every little data point is a piece of actionable feedback. Someone makes a comment on what you do, you get a score from somebody on your work against a Likert scale...so what we're doing is, we have this idea of complete data transparency, but also, we're not going to make any judgments for you or about you, or the system's not going to do it, without that feedback being actionable, so that you can then improve your work. It feeds into your work. So, the difference is, instead of assessment being retrospective and judgmental, what we're doing is making micro-judgments which are prospective and constructive and going towards your learning."

Visit the Learning Design and Leadership Program here and visit CGScholar here.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

397 에피소드

所有剧集

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드

탐색하는 동안 이 프로그램을 들어보세요.
재생