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The course also focuses on the use of assessment technologies in learning. It will explore recent advances in computer adaptive and diagnostic testing, the use of natural language processing technologies in assessments, and embedded formative assessments in digital and online curricula. Other topics include the use of data mining, learning analytics and artificial intelligence in learning management systems and educational technology platforms. Participants will be required to consider issues of data access, privacy and the challenges raised by ‘big data’ including data persistency and student profiling. This course is an overview of current debates about testing, and analyses of the strengths and weaknesses of a variety of approaches to assessment.

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To uphold confidence in the validity and efficacy of remote instruction, online learning platforms are faced with an urgent need to provide a robust suite of academic integrity features. This final section provides an overview of four major CSS applications. Prof. Fowler of UC San Diego introduces us to the power of social networks, and Prof. Smaldino of UC Merced explains how computer simulation can help us solve some of the mysteries of social emergence. This course provides an overview of current opportunities and the pervasiveness of computational social science.

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