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Cooperative learning is an educational approach which aims to organize classroom activities into academic and social learning experiences. [1] There is much more to cooperative learning than merely arranging students into groups, and it has been described as "structuring positive interdependence." [2] [3] Students must work in groups to ...
Quad Learning, Inc. is an education service provider that delivers international enrollment management services to its client institutions, which include leading 2-year community colleges in addition to universities. Quad Learning collaborates with leading 2-year community colleges to provide enhanced student transfer success through the ...
Transfer (propaganda), a method of psychological manipulation. Knowledge transfer, within organizations. Language transfer, in which native-language grammar and pronunciation influence the learning and use of a second language. Transfer of learning, in education.
Knowledge distillation. In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.
Task-based language learning. Task-based language teaching ( TBLT ), also known as task-based instruction ( TBI ), focuses on the use of authentic language to complete meaningful tasks in the target language. Such tasks can include visiting a doctor, conducting an interview, or calling customer service for help.
Project-based learning ( PBL) is a student-centered pedagogy that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge through active exploration of real-world challenges and problems. [1] Students learn about a subject by working for an extended period of time to investigate and respond to a ...
Retroactive learning. Within theories of education, retroactive learning [1] is a delay in understanding an experience, or review of learning experiences when resources become available. Often, it is not possible to learn while an event is occurring because the agent lacks the specific information or resources that it needs to learn.
Logistic activation function. The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights. Nontrivial problems can be solved using only a few nodes if the activation function is nonlinear. [1]