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Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done by a variety of applied psychologists and educators. [1] The learning material is in a kind of textbook or teaching machine or computer. The medium presents the material in a logical and tested ...
Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...
Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations. [1]
Kurt Friedrich Gödel (/ ˈ ɡ ɜːr d əl / GUR-dəl, German: [kʊʁt ˈɡøːdl̩] ⓘ; April 28, 1906 – January 14, 1978) was a logician, mathematician, and philosopher. ...
Reading is the process of taking in the sense or meaning of letters, symbols, etc., especially by sight or touch.. For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.
Design-based learning. Design-based learning ( DBL ), also known as design-based instruction, is an inquiry-based form of learning, or pedagogy, that is based on integration of design thinking and the design process into the classroom at the K-12 and post-secondary levels. [1] [2] Design-based learning environments can be found across many ...
Debriefing. Debriefing is a report of a mission or project or the information so obtained. It is a structured process following an exercise or event that reviews the actions taken. [1] As a technical term, it implies a specific and active intervention process that has developed with more formal meanings such as operational debriefing.
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]