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Mendeley readers
Chapter title |
Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory
|
---|---|
Chapter number | 61 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-52240-7_61 |
Book ISBNs |
978-3-03-052239-1, 978-3-03-052240-7
|
Authors |
Masaki Uto, Yuto Uchida, Uto, Masaki, Uchida, Yuto |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Lecturer | 2 | 8% |
Student > Master | 2 | 8% |
Student > Bachelor | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 33% |
Linguistics | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Unknown | 13 | 54% |