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Discovery learning is a technique of inquiry-based learning and is considered a constructivist based approach to education. It is also referred to as problem-based learning , experiential learning and 21st century learning.
Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW ...
Discovery science (also known as discovery-based science) is a scientific methodology which aims to find new patterns, correlations, and form hypotheses through the analysis of large-scale experimental data. The term “discovery science” encompasses various fields of study, including basic, translational, and computational science and ...
The first component of problem-based learning is to discuss prior knowledge and ask questions related to the specific problems or issues (Schmidt & Loyens, 2007). Following the class discussion, there is typically time in which students individually research or reflect on the newly acquired information and/or seek out areas requiring further ...
Discovery is the act of detecting something new, or something previously unrecognized as meaningful, "portal". In sciences and academic disciplines, discovery is the observation of new phenomena, new actions, or new events and involves providing new reasoning to explain the knowledge gathered through such observations, using knowledge previously acquired through abstract thought and from ...
Didactics is a knowledge-based discipline concerned with the descriptive and rational study of all teaching-related activities before, during and after the teaching of content in the classroom, which includes the "planning, control and regulation of the teaching context" and its objective is to analyze how teaching leads to learning.
Learning by doing is a theory that places heavy emphasis on student engagement and is a hands-on, task-oriented, process to education. [1] The theory refers to the process in which students actively participate in more practical and imaginative ways of learning.
The aim of discovery systems is to automate scientific data analysis and the scientific discovery process. Ideally, an artificial intelligence system should be able to search systematically through the space of all possible hypotheses and yield the hypothesis - or set of equally likely hypotheses - that best describes the complex patterns in data.