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직수입양서
Advancing Natural Language Processing in Educational Assessment
Hardback, 1st Edition
Yaneva, Victoria / Von Davier, Matthias
Routledge
2023.06.05.
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NCME APPLICATIONS OF EDUCATIONAL MEASUREMENT AND ASSESSMENT
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책소개
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Preface by Victoria Yaneva and Matthias von Davier Section I: Automated Scoring Chapter 1: The Role of Robust Software in Automated Scoring by Nitin Madnani, Aoife Cahill, and Anastassia Loukina Chapter 2: Psychometric Considerations when Using Deep Learning for Automated Scoring by Susan Lottridge, Chris Ormerod, and Amir Jafari Chapter 3: Speech Analysis in Assessment by Jared C. Bernstein and Jian Cheng Chapter 4: Assessment of Clinical Skills: A Case Study in Constructing an NLP-Based Scoring System for Patient Notes by Polina Harik, Janet Mee, Christopher Runyon, and Brian E. Clauser Section II: Item Development Chapter 5: Automatic Generation of Multiple-Choice Test Items from Paragraphs Using Deep Neural Networks by Ruslan Mitkov, Le An Ha, Halyna Maslak, Tharindu Ranasinghe, and Vilelmini Sosoni Chapter 6: Training Optimus Prime, M.D.: A Case Study of Automated Item Generation using Artificial Intelligence ? From Fine-Tuned GPT2 to GPT3 and Beyond by Matthias von Davier Chapter 7: Computational Psychometrics for Digital-first Assessments: A Blend of ML and Psychometrics for Item Generation and Scoring by Geoff LaFlair, Kevin Yancey, Burr Settles, Alina A von Davier Section III: Validity and Fairness Chapter 8: Validity, Fairness, and Technology-based Assessment by Suzanne Lane Chapter 9: Evaluating Fairness of Automated Scoring in Educational Measurement by Matthew S. Johnson and Daniel F. McCaffrey Section IV: Emerging Technologies Chapter 10: Extracting Linguistic Signal from Item Text and Its Application to Modeling Item Characteristics by Victoria Yaneva, Peter Baldwin, Le An Ha, and Christopher Runyon Chapter 11: Stealth Literacy Assessment: Leveraging Games and NLP in iSTART by Ying Fang, Laura K. Allen, Rod D. Roscoe, and Danielle S. McNamara Chapter 12: Measuring Scientific Understanding Across International Samples: The Promise of Machine Translation and NLP-based Machine Learning Technologies by Minsu Ha and Ross H. Nehm Chapter 13: Making Sense of College Students’ Writing Achievement and Retention with Automated Writing Evaluation by Jill Burstein, Daniel McCaffrey, Steven Holtzman & Beata Beigman Klebanov Contributor Biographies |
품목정보
- 발행일
- 2023년 06월 05일
- 쪽수, 무게, 크기
- 250쪽 | 453g | 180*250mm
- ISBN13
- 9781032203904
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혜택 및 유의사항밑줄0
혜택 및 유의사항상품정보안내
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(판형과 판수 등이 다양한 도서는 찾으시는 도서의 ISBN을 알려 주시면 보다 빠르고 정확한 안내가 가능합니다.)
해외거래처에서 품절인 경우, 2차 거래선을 통해 유럽과 미국 출판사로 직접 수입이 진행될 수 있습니다.
수입 진행 시점으로 부터 2~3주가 추가로 소요되며, 해외에서도 유통이 원활하지 않은 도서는 품절 안내가 지연될 수 있습니다.
해당 경우, 문자와 메일로 별도 안내를 드리고 있사오니 마이페이지에서 휴대전화번호와 메일주소를 다시 한번 확인해주시기 바랍니다.
(판형과 판수 등이 다양한 도서는 찾으시는 도서의 ISBN을 알려 주시면 보다 빠르고 정확한 안내가 가능합니다.)
해외거래처에서 품절인 경우, 2차 거래선을 통해 유럽과 미국 출판사로 직접 수입이 진행될 수 있습니다.
수입 진행 시점으로 부터 2~3주가 추가로 소요되며, 해외에서도 유통이 원활하지 않은 도서는 품절 안내가 지연될 수 있습니다.
해당 경우, 문자와 메일로 별도 안내를 드리고 있사오니 마이페이지에서 휴대전화번호와 메일주소를 다시 한번 확인해주시기 바랍니다.
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