DC: Is the future of one of our powerful learning ecosystems more like adding your own desired groups/cohorts, topics, items, etc. to your server? Like a learning-focused type of Discord service? (https://t.co/Vq4dZamBf2)#future #learningecosystems #personalizedlearning pic.twitter.com/wVMWYBN3R1
— Daniel Christian (he/him/his) (@dchristian5) August 17, 2023
Sources of Cognitive Load — from learningscientists.org
Excerpt:
Cognitive Load Theory is an influential theory from educational psychology that describes how various factors affect our ability to use our working memory resources. We’ve done a digest about cognitive load theory here and talked about it here and here, but haven’t provided an overview of the theory so I want to give an overview here.
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Cognitive load theory provides useful and dynamic model for how many different factors affect working memory and learning. Hopefully this post provides a useful overview of some of the main components of cognitive load!
From DSC:
Along these lines, a while back I put together a video regarding cognitive load. It addresses at least two main questions:
- What is cognitive load?
- Why should I care about it?
How do I put it into practice?
- Simplify the explanations of what you’re presenting as much as possible and break down complex tasks into smaller parts
- Don’t place a large amount of text on a slide and then talk about it at the same time — doing so requires much more processing than most people can deal with.
- Consider creating two versions of your PowerPoint files:
- A text-light version that can be used for presenting that content to students
- A text-heavy version — which can be posted to your LMS for the learners to go through at their own pace — and without trying to process so much information (voice and text, for example) at one time.
- Design-wise:
- Don’t use decorative graphics — everything on a slide should be there for a reason
- Don’t use too many fonts or colors — this can be distracting
- Don’t use background music when you are trying to explain something
From DSC:
The Bible talks about listening quite frequently. The authors ask people to listen to what is being communicated.
Proverbs 16:20
Whoever gives heed to instruction prospers,
and blessed is the one who trusts in the Lord.
Unfortunately, it often involves people NOT listening to the LORD and/or to others and, instead, going their/our own way. In my own life, things don’t go so well when I do that. I think the same is true on a more general/corporate level as well.
For example, Israel in ancient days thought and behaved this way too. Read 1 Kings and 2 Kings to see what I mean. They didn’t listen to the LORD. They didn’t listen to instruction. They thought they knew it all. They didn’t give credit to Whom credit was due. They made up their own gods and worshipped the things that they created.
The LORD wanted to bless them — and us. But they didn’t — and we still don’t — want to listen and submit to His will at times (even though His will is meant to BLESS US).
I used to see the LORD looking down from heaven, with a stern or disappointed look on His face. He was tapping His foot, and had His arms folded. I imagined Him saying, “Daniel, get your stuff together!!!” I didn’t see Him as being on my team.
Through the years He has shown me that He IS on my team and that He is active in my heart, mind, and life. He is full of grace, truth, patience, forgiveness, vulnerable love, and wisdom. He’s awesome. I love Him and His ways — but that’s taken me decades to be able to say that.
He wants what is best for us. He gave us gifts and wants us to use those gifts to serve others.
AI-assisted cheating isn’t a temptation if students have a reason to care about their own learning.
Yesterday I happened to listen to two different podcasts that ended up resonating with one another and with an idea that’s been rattling around inside my head with all of this moral uproar about generative AI:
** If we trust students – and earn their trust in return – then they will be far less motivated to cheat with AI or in any other way. **
First, the question of motivation. On the Intentional Teaching podcast, while interviewing James Lang and Michelle Miller on the impact of generative AI, Derek Bruff points out (drawing on Lang’s Cheating Lessons book) that if students have “real motivation to get some meaning out of [an] activity, then there’s far less motivation to just have ChatGPT write it for them.” Real motivation and real meaning FOR THE STUDENT translates into an investment in doing the work themselves.
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Then I hopped over to one of my favorite podcasts – Teaching in Higher Ed – where Bonni Stachowiak was interviewing Cate Denial about a “pedagogy of kindness,” which is predicated on trusting students and not seeing them as adversaries in the work we’re doing.
So the second key element: being kind and trusting students, which builds a culture of mutual respect and care that again diminishes the likelihood that they will cheat.
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Again, human-centered learning design seems to address so many of the concerns and challenges of the current moment in higher ed. Maybe it’s time to actually practice it more consistently. #aiineducation #higheredteaching #inclusiveteaching