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Assessment of Learning Outcomes in Higher Education

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Cover of 'Assessment of Learning Outcomes in Higher Education'

Table of Contents

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    Book Overview
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    Chapter 1 Research and Governance Architectures to Develop the Field of Learning Outcomes Assessment
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    Chapter 2 Documenting and Improving Collegiate Learning in the USA
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    Chapter 3 Information Management Versus Knowledge Building: Implications for Learning and Assessment in Higher Education
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    Chapter 4 Challenges for Evaluation in Higher Education: Entrance Examinations and Beyond: The Sample Case of Medical Education
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    Chapter 5 Teachers’ Judgments and Decision-Making: Studies Concerning the Transition from Primary to Secondary Education and Their Implications for Teacher Education
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    Chapter 6 Threshold Concepts for Modeling and Assessing Higher Education Students’ Understanding and Learning in Economics
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    Chapter 7 Rescue an Enterprise from Failure: An Innovative Assessment Tool for Simulated Performance
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    Chapter 8 Assessment of Economic Education in Korea’s Higher Education
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    Chapter 9 What Do We Know – What Should We Know? Measuring and Comparing Achievements of Learning in European Higher Education: Initiating the New CALOHEE Approach
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    Chapter 10 International Performance Assessment of Learning in Higher Education (iPAL): Research and Development
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    Chapter 11 International Comparison of a Performance-Based Assessment in Higher Education
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    Chapter 12 Adapting and Validating the Collegiate Learning Assessment to Measure Generic Academic Skills of Students in Germany: Implications for International Assessment Studies in Higher Education
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    Chapter 13 Validating the Use of Translated and Adapted HEIghten ® Quantitative Literacy Test in Russia
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    Chapter 14 Comparative Study of Student Learning and Experiences of Japanese and South Korean Students
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Citations

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Title
Assessment of Learning Outcomes in Higher Education
Published by
Springer International Publishing, April 2018
DOI 10.1007/978-3-319-74338-7
ISBNs
978-3-31-974337-0, 978-3-31-974338-7
Editors

Zlatkin-Troitschanskaia, Olga, Toepper, Miriam, Pant, Hans Anand, Lautenbach, Corinna, Kuhn, Christiane

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Australia 3 4%
United States 2 3%
Indonesia 1 1%
Netherlands 1 1%
Singapore 1 1%
Unknown 65 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Student > Master 14 18%
Student > Doctoral Student 11 14%
Professor 7 9%
Researcher 6 8%
Other 21 28%
Readers by discipline Count As %
Social Sciences 40 53%
Unspecified 6 8%
Arts and Humanities 5 7%
Computer Science 5 7%
Business, Management and Accounting 5 7%
Other 15 20%