Reposted by Stephanie Boragina
Good discussion of the roles of habits in learning, how to intervene on those habits to promote better learning strategy use, and ideas for future research on the role of habits in self-regulated learning.
doi.org/10.1007/s106...
doi.org
Understanding Learning Strategy Use Through the Lens of Habit - Educational Psychology Review
Students frequently rely on ineffective learning strategies instead of those that promote long-term retention. This is not simply a matter of lacking metacognitive knowledge. Research on…
![Figure 1
Illustration of why AI systems cannot realistically scale to human cognition within the foreseeable future: (b) Human cognitive capacities (such as reasoning, communication, problem solving, learning, concept formation, planning etc.) can handle unbounded situations across many domains, ranging from simple to complex. (a) Engineers create AI systems using machine learning from human data. (d) In an attempt to approximate human cognition a lot of data is consumed. (c) Making AI systems that approximate human cognition is intractable (van Rooij, Guest, et al., 2024), i.e., the required resources (e.g. time, data) grows prohibitively fast as input domains get more complex, leading to diminishing returns. (a) Any existing AI system is
created in limited time (hours, months or years, not millennia or eons). Therefore, existing AI systems cannot realistically have the domain-general cognitive capacities that humans have. [Made with elements from freepik.com.]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:24ngrqljhck7hpvbgrg7a23k/bafkreie5dbxbxpaszqwfbgne6pi7kf26im6chq45olvzxyyrg7eitq6uue)
