学生对 伊利诺伊大学香槟分校 提供的 Assessment for Learning 的评价和反馈

I enjoyed this course a lot and benefited from each portion of it, I am working in education as well as program evaluations, so it served both purposes. Especially at the time of a world pandemic and having to shift to online learning, this helped me a lot get an overall idea of where to start with program assessment and utilizing the newly available tools (analytics) for the purpose of program assessment and course assessment and evaluations. Thank you so much for this, will definitely enroll in other Illinois courses on coursera.

VERY INFORMATIVE AND KNOWLEDGEABLE, IT WILL BE HELPFUL FOR FURTHER STUDIES.

Value added course for budding as well as skilled & expert academicians

Fantastic course

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..

I am rating 1 star due to the pathetic instructors of the course. Dr. J Greene is worst of them all. She is unable to figure out teleprompter from where she is just reading out stuff. Please appoint some good instructors, this is not expected from Coursera

This course is good for those of us who have interest in education as it provides insights and different perspectives regarding the different approaches for assessments with the use of different mode of technology. It sheds a different dimensions from a traditional approach

All models are very informative and thought provoking. The course provides very well defined meaning of assessments in a structured manner. This will surely help a lot in my career path and all the methods learnt will be very helpful.

Supports students in rethinking norm-referenced standards for assessment, in comparison with mastery learning. Also introduces educational data mining and whole-program evaluation.

Very helpful to understand Assessment throughout the education sector. Got an idea to adopt newer assessment methods .

Extremely relevant course, though I wish I had enough prior knowledge to understand Data Mining part.

I am happy about this course. well designed and well structured.

Very informative course, thank you very much.

Nice experience and very informative

Amazing course in the digital era

Very good course contents

This is a great course.

Excellent

Excellent

Ultimate

I enjoyed the course. It has a lot of useful information. I only wish that the rubric for the peer review is more specific to include the number of academic review to receive a certain number of points. The rubric only says, "Formal scholarly referencing and web links to a comprehensive range of sources" So for example, when I provided six to seven academic references, I received 15 points rather than 20. Also, the rubric does not require providing feedback when points are taken. So, most reviewers took points because they can, not because they have an academic reason. Honestly, if I am paying for the course, I would like to receive feedback to understand why points are taken. Providing feedback is essential to grow and is a factor in my decision to pay for a course.

Too many Essential-Peer-Graded Homeworks

Awesome Course

The course provides a broad-brush overview of assessment. The course material is at the knowledge level, but many of the assignments ask for analysis. The assignment rubric was not viewable prior to posting the first assignment. I did not receive my first peer review, where I could actually view the rubric until I had already submitted 5 of the 7 assignments. The info on data analytics was enlightening. The final section, on program evaluation, was very generic and not specific to education. I could make the leap to see how it could be relevant, but since this was billed as a basic level course, I should not have had to make that leap. I was somewhat surprised that there was absolutely no reference to Kirkpatrick's four levels of educational evaluation. I did learn a few things I didn't know before, but I do not believe I developed any new skills.