Microlearning is a teaching strategy that involves delivering short and focused lessons or activities that target specific learning outcomes. It can help you engage your learners, reinforce key concepts, and enhance retention and transfer of knowledge. In this article, you will discover some microlearning resources that can support your teaching practice and align with various pedagogical theories.

Microlearning is not a new concept, but it has become more popular in recent years due to the increasing use of technology and the changing needs and preferences of learners. This type of learning can provide a variety of benefits for both teachers and learners. For example, it can reduce cognitive load and increase attention span by breaking down complex topics into smaller pieces. Additionally, microlearning is convenient and flexible, allowing learners to access content anytime and anywhere. Furthermore, it supports personalized and selfdirected learning by enabling learners to choose their own pace and path. Moreover, it can enhance motivation and engagement by using interactive and multimedia elements. Finally, it can improve retention and application by reinforcing and reviewing essential information and skills.

Microlearning is a teaching strategy that involves delivering short and focused lessons or activities that target specific learning outcomes. It can help you engage your learners, reinforce key concepts, and enhance retention and transfer of knowledge. In this article, you will discover some microlearning resources that can support your teaching practice and align with various pedagogical theories.

Microlearning is not a new concept, but it has become more popular in recent years due to the increasing use of technology and the changing needs and preferences of learners. This type of learning can provide a variety of benefits for both teachers and learners. For example, it can reduce cognitive load and increase attention span by breaking down complex topics into smaller pieces. Additionally, microlearning is convenient and flexible, allowing learners to access content anytime and anywhere. Furthermore, it supports personalized and selfdirected learning by enabling learners to choose their own pace and path. Moreover, it can enhance motivation and engagement by using interactive and multimedia elements. Finally, it can improve retention and application by reinforcing and reviewing essential information and skills.

Microlearning is a teaching strategy that involves delivering short and focused lessons or activities that target specific learning outcomes. It can help you engage your learners, reinforce key concepts, and enhance retention and transfer of knowledge. In this article, you will discover some microlearning resources that can support your teaching practice and align with various pedagogical theories.

Microlearning is not a new concept, but it has become more popular in recent years due to the increasing use of technology and the changing needs and preferences of learners. This type of learning can provide a variety of benefits for both teachers and learners. For example, it can reduce cognitive load and increase attention span by breaking down complex topics into smaller pieces. Additionally, microlearning is convenient and flexible, allowing learners to access content anytime and anywhere. Furthermore, it supports personalized and selfdirected learning by enabling learners to choose their own pace and path. Moreover, it can enhance motivation and engagement by using interactive and multimedia elements. Finally, it can improve retention and application by reinforcing and reviewing essential information and skills.

There have been reports that researchers at OpenAI had made a “breakthrough” in Artificial Intelligence (AI). Some media agencies report that such researchers had come up with a new way to make powerful AI systems and had created a new model, called Q. Star, that was able to perform grade-school-level math.

Researchers have for years tried to get AI models to solve math problems. Language models like ChatGPT and GPT-4 can do some math, but not very well or reliably.

People who worry about whether AI poses an existential risk to humans, one of OpenAI’s founding concerns, fear that such capabilities might lead to rogue AI. Safety concerns might arise if such AI systems are allowed to set their own goals and start to interface with a real physical or digital world in some ways, says Katie Collins, a PhD researcher at the University of Cambridge.

However, while math capability might take us a step closer to more powerful AI systems, solving these sorts of math problems doesn’t signal the birth of a superintelligence.

Internet::<technologyreview.com> (adapted).

There have been reports that researchers at OpenAI had made a “breakthrough” in Artificial Intelligence (AI). Some media agencies report that such researchers had come up with a new way to make powerful AI systems and had created a new model, called Q. Star, that was able to perform grade-school-level math.

Researchers have for years tried to get AI models to solve math problems. Language models like ChatGPT and GPT-4 can do some math, but not very well or reliably.

People who worry about whether AI poses an existential risk to humans, one of OpenAI’s founding concerns, fear that such capabilities might lead to rogue AI. Safety concerns might arise if such AI systems are allowed to set their own goals and start to interface with a real physical or digital world in some ways, says Katie Collins, a PhD researcher at the University of Cambridge.

However, while math capability might take us a step closer to more powerful AI systems, solving these sorts of math problems doesn’t signal the birth of a superintelligence.

Internet::<technologyreview.com> (adapted).