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.
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Assessment for Learning
University of Illinois at Urbana-ChampaignÜber diesen Kurs
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Course Orientation + Intelligence Tests
Kinds of Assessments
New Assessments in the Digital Age
Educational Data Mining + Evaluation
Bewertungen
- 5 stars82,28 %
- 4 stars11,81 %
- 3 stars3,14 %
- 2 stars0,39 %
- 1 star2,36 %
Top-Bewertungen von ASSESSMENT FOR LEARNING
This course is very helpful for those who wants to enhance their assessing skills for their students
Supports students in rethinking norm-referenced standards for assessment, in comparison with mastery learning. Also introduces educational data mining and whole-program evaluation.
VERY INFORMATIVE AND KNOWLEDGEABLE, IT WILL BE HELPFUL FOR FURTHER STUDIES.
i learned a lot from this course especially the important of data mining.
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