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  2. Active Student Response Techniques - Wikipedia

    en.wikipedia.org/wiki/Active_Student_Response...

    Traditional lecturing, in which an instructor speaks uninterrupted for the majority of the class, is often less effective than active student response techniques. Without active participation from students and contingent positive reinforcement for correct responses, traditional lecturing does not reinforce desired behaviors.

  3. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...

  4. Reinforcement - Wikipedia

    en.wikipedia.org/wiki/Reinforcement

    Differential reinforcement of low response rate (DRL) – Used to encourage low rates of responding. It is like an interval schedule, except that premature responses reset the time required between behavior. Differential reinforcement of high rate (DRH) – Used to increase high rates of responding. It is like an interval schedule, except that ...

  5. Instructional simulation - Wikipedia

    en.wikipedia.org/wiki/Instructional_simulation

    At Chesapeake High School in Baltimore County, Maryland, students explore the ecological environment surrounding Mount St. Helens via a 3D virtual learning environment (Curriculum Review 2009). Students navigate through the environment with a virtual unmanned vehicle and work collaboratively to solve ecological and environmental problems that ...

  6. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning .

  7. What the hell is reinforcement learning and how does it work?

    www.aol.com/hell-reinforcement-learning-does...

    Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. Reinforcement learning is a behavioral learning ...

  8. Direct instruction - Wikipedia

    en.wikipedia.org/wiki/Direct_instruction

    Direct Instruction has been effectively delivered through peers to students with learning disabilities. [7] Peer delivery offers teachers new ways to use the curriculum. [7] The approach has also been examined as a model to assist students in a resource room with homework completion, bolster executive functioning skills, and improve teacher ...

  9. Learning theory (education) - Wikipedia

    en.wikipedia.org/wiki/Learning_theory_(education)

    A classroom in Norway. Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained. [1] [2]