For several decades now, assessment has become an increasingly pressing educational priority. Teacher and school accountability systems have come to be based on analysis of large-scale, standardized summative assessments. As a consequence, assessment now dominates most conversations about reform, particularly as a measure of teacher and school accountability for learner performance. Behind the often heated and at times ideologically gridlocked debate is a genuine challenge to address gaps in achievement between different demographically identifiable groups of students. There is an urgent need to lift whole communities and cohorts of students out of cycles of underachievement. For better or for worse, testing and public reporting of achievement is seen to be one of the few tools capable of clearly informing public policy makers and communities alike about how their resources are being used to expand the life opportunities for their children. This course is an overview of current debates about testing, and analyses the strengths and weaknesses of a variety of approaches to assessment. 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.

Assessment for Learning

Assessment for Learning


Instructors: Dr William Cope
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Gain insight into a topic and learn the fundamentals.
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No prior experience required
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1 week at 10 hours a week
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There are 4 modules in this course
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RT
Reviewed on May 12, 2020
This was my first course in the field of education and I really enjoyed it despite the fact I got scared in the start with this new field..
BP
Reviewed on Sep 13, 2020
VERY INFORMATIVE AND KNOWLEDGEABLE, IT WILL BE HELPFUL FOR FURTHER STUDIES.
S
Reviewed on Oct 24, 2021
Extremely relevant course, though I wish I had enough prior knowledge to understand Data Mining part.

