University of Illinois at Urbana-Champaign

Assessment for Learning

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Gain insight into a topic and learn the fundamentals

Dr William Cope
Dr Mary Kalantzis

Instructors: Dr William Cope


(280 reviews)

Beginner level
No prior experience required
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

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1 quiz

Taught in English

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There are 4 modules in this course

This course is an overview of current debates about testing, and analyses of the strengths and weaknesses of a variety of approaches to assessment. The module 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 and learning analytics in learning management systems and educational technology platforms. The module also considers issues of data access, privacy, and the challenges raised by ‘big data’ including data persistency and student profiling. A final section addresses the processes of educational evaluation. Video presenters include Mary Kalantzis, Bill Cope, Luc Paquette, and Jennifer Greene.

What's included

4 videos8 readings1 quiz1 peer review2 discussion prompts

The word "standard" is used in two quite different ways in testing theory and practice: to create a common measure of learning in "standardized assessments"; and the generalized and measurable objectives of learning. Sometimes standardized assessments are used to determine the outcomes of standards-based education, but often not. Standards-based assessment can also be criterion-referenced, and self-referenced.

What's included

5 videos2 readings2 peer reviews2 discussion prompts

Computer-mediated assessments can be used to mechanize, and so make more efficient, traditional select-and-supply response assessments. However, new opportunities also present themselves in the form of technologies and assessment processes called "learning analytics."

What's included

6 videos1 reading2 peer reviews2 discussion prompts

In this module, Luc Paquette discusses educational data mining – a new generation of techniques with which to analyze student learning for the purposes of assessment, evaluation, and research. Finally, Jennifer Greene explores theories and practices of evaluation. Assessment data may be used to support evaluations, however evaluation is a considerably broader process.

What's included

10 videos2 peer reviews2 discussion prompts


Instructor ratings
4.8 (155 ratings)
Dr William Cope
University of Illinois at Urbana-Champaign
9 Courses134,863 learners

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