UIUC - Assessment for Learning

Offered byCoursera

Assessment for Learning
at
Coursera
Overview

Duration	14 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Assessment for Learning
at
Coursera
Highlights

Shareable Certificate Earn a Certificate upon completion
100% online Start instantly and learn at your own schedule.
Flexible deadlines Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English Subtitles: French, Portuguese (European), Vietnamese, Russian, English, Spanish

Assessment for Learning
at
Coursera
Course details

Skills you will learn

Data mining Embedded systems Software Testing Predictive modeling Big Data

More about this course

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 and learning analytics systems 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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Additional online resources are available here:
https://newlearningonline.com
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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 e-Learning Ecologies 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://newlearningonline.com/kalantzis-and-cope/learning-design-and-leadership-program
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