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Learning and Assessment

Description:

EA5 topics can include 1) data-driven learning and assessment using new sources of data for a personalized learning experience and the assessment and measurement of performance, 2) learning analytics tools to process and analyze data streams to modify learning goals and strategies in real time; 3) adaptive learning environments combined with assessments that provide alternative paths of instruction; 4) personal learning environments that allow students to control their environment in relationship to their personal learning style to acquire knowledge with consideration of their teacher’s expectations; 5) big data, searching, data mining, data analysis, intelligent agents, knowledge modeling, user models, mobile tools, and decision support systems that improve the understanding of teaching and learning to improve student performance, retention, and transfer in environments that may include one-to-one, one-to-many, and many-to-many relationships; and 6) collecting, analyzing, sharing, and managing data that promotes learning or leads to designed learning environments.

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