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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Recommended Background
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This course is designed for people interested in the future of education and the "learning society," including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part "educative."
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Related Resources
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Online resources are available here:
https://newlearningonline.com
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Join our Online Communities!
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CGScholar (Create an account and join the New Learning community)
https://cgscholar.com/community/community_profiles/new-learning/community_updates
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https://www.facebook.com/newlearningonline
Twitter
https://twitter.com/neolearning
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Take this Course for Credit at the University of Illinois
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This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois.
Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement.
On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here:
https://ldlprogram.web.illinois.edu/overview/
And you can apply here:
https://education.illinois.edu/epol/programs-degrees/ldl
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The Learning Design and Leadership Series of MOOCs
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This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others!
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
https://www.coursera.org/learn/elearning
New Learning: Principles and Patterns of Pedagogy
https://www.coursera.org/learn/newlearning
Assessment for Learning
https://www.coursera.org/learn/assessmentforlearning
Learning, Knowledge, and Human Development
https://www.coursera.org/learn/learning-knowledge-human-development
Ubiquitous Learning and Instructional Technologies
https://www.coursera.org/learn/ubiquitouslearning
Negotiating Learner Differences: Towards Productive Diversity in Learning
https://www.coursera.org/learn/learnerdifferences
Literacy Teaching and Learning: Aims, Approaches and Pedagogies
https://www.coursera.org/learn/literacy-teaching-learning
Multimodal Literacies: Communication and Learning in the Era of Digital Media
https://www.coursera.org/learn/multimodal-literacies
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.
Welcome to Assessment for Learning Course•3 minutes
Context of Assessment, Evaluation and Research•3 minutes
Measuring What? The First Intelligence Tests•8 minutes
Testing for Inequalities•7 minutes
8 readings•Total 80 minutes
Syllabus•10 minutes
Task Overview: How to Pass This Course•10 minutes
About the Discussion Forums•10 minutes
Take This Course as a Stepping Stone for a University of Illinois Certificate, Masters, or Doctorate - Fully Online!•10 minutes
Course Readings•10 minutes
Updating Your Profile•10 minutes
Social Media•10 minutes
Additional Resources•10 minutes
1 assignment•Total 30 minutes
Orientation Quiz•30 minutes
1 peer review•Total 60 minutes
Essential Peer Reviewed Update #1•60 minutes
2 discussion prompts•Total 20 minutes
Getting to Know Your Classmates•10 minutes
Discussion Forum: Essential Update #1•10 minutes
Kinds of Assessments
3 hours to complete
Module details
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.
Select Response and Standardized Assessments•9 minutes
Supply Response Assessments•8 minutes
Interpreting Test Results•6 minutes
Changing the Objectives of Assessment in Standards-Based Education•9 minutes
Alternative Concepts and Practices of Assessment•6 minutes
2 readings•Total 20 minutes
Additional Resources•10 minutes
Additional Resources•10 minutes
2 peer reviews•Total 120 minutes
Essential Peer Reviewed Update #3•60 minutes
Optional Peer Reviewed Update #2•60 minutes
2 discussion prompts•Total 20 minutes
Discussion Forum: Optional Update #2•10 minutes
Discussion Forum: Essential Update #3•10 minutes
New Assessments in the Digital Age
3 hours to complete
Module details
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."
New Opportunities for Assessment in the Digital Age•9 minutes
Big Data Assessments•5 minutes
Designing Assessments for the Future•8 minutes
Prospects for Learning Analytics: A Case Study•13 minutes
Visualizing Progress•10 minutes
The Test Is Dead. Long Live Assessment!•1 minute
1 reading•Total 10 minutes
Additional Resources•10 minutes
2 peer reviews•Total 120 minutes
Essential Peer Reviewed Update #5•60 minutes
Optional Peer Reviewed Update #4•60 minutes
2 discussion prompts•Total 20 minutes
Discussion Forum: Optional Update #4•10 minutes
Discussion Forum: Essential Update #5•10 minutes
Educational Data Mining + Evaluation
4 hours to complete
Module details
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
Show info about module content
10 videos•Total 111 minutes
Using Data to Analyze Learning•12 minutes
Predictive Modeling•14 minutes
Knowledge Inference•17 minutes
Issues of Ethics and Equity•14 minutes
What Is Evaluation?•7 minutes
Approaches to Evaluation•8 minutes
Program Evaluation•9 minutes
Values in Evaluation•10 minutes
The Practice of Evaluation: Challenges and Tensions•10 minutes
Evaluating the Evaluators: Establishing Standards of Practice•11 minutes
2 peer reviews•Total 120 minutes
Essential Peer Reviewed Update #7•60 minutes
Optional Peer Reviewed Update #6•60 minutes
2 discussion prompts•Total 20 minutes
Discussion Forum: Optional Update #6•10 minutes
Discussion Forum: Essential Update #7•10 minutes
Instructors
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Instructor ratings
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The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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I have learned a lot in this course and it is very helpful and applicable in my professional career. I like this course most. Thank you very much
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Reviewed on Sep 27, 2020
Very helpful to understand Assessment throughout the education sector. Got an idea to adopt newer assessment methods .
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