Machine Learning in Educational Sciences (Record no. 57863)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04508nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-99-9379-6 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030111442.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240224s2024 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789819993796 |
| -- | 978-981-99-9379-6 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-981-99-9379-6 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | LB1028-1028.25 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | JN |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | EDU037000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | JN |
| Source | thema |
| 245 10 - TITLE STATEMENT | |
| Title | Machine Learning in Educational Sciences |
| Medium | [electronic resource] : |
| Remainder of title | Approaches, Applications and Advances / |
| Statement of responsibility, etc. | edited by Myint Swe Khine. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Singapore : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVII, 384 p. 98 illus., 77 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Using machine learning in educational research -- Machine learning approaches to predict non-completion in AP statistics courses -- Predicting student attrition in university courses -- Machine learning based identification strategy of circumstances in the analysis of inequality of opportunity -- Machine learning applications for early and on-going warning systems in education -- Using neural networks for analyzing large-scale international assessment data -- Utilizing natural language processing and large language models in science education -- Machine based learning in psychological assessment -- Applying topic modeling to understand assessment practices of U.S. College instructors in response to the COVID-19 pandemic -- Penalized regression in educational large-scale assessments -- Applying machine learning to augment the design and assessment of immersive learning experience -- Automatic creation of concept maps to generate ‘Learning Coefficients’ in adaptive assessments -- Camelot: A council of machine learning strategies to enhance teaching -- Research on blended learning achievement improvement based on integrated machine learning methods -- Exploring non-cognitive factors affecting students’ academic performance based on PISA data: from econometrics to machine learning -- ChatGPTing the path to K12 educational reform: Examining Generative AI in the middle east from an industry perspective -- Exploring the integration of machine learning in mathematics classrooms: A literature review and recommendations for implementation -- Identification of students at risk of low performance or failure by combining enhanced machine learning, and knowledge graph techniques. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences. . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| General subdivision | Research. |
| 9 (RLIN) | 59832 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 6941 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 69694 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Khine, Myint Swe. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 71697 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819993789 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819993802 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819993819 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-981-99-9379-6">https://doi.org/10.1007/978-981-99-9379-6</a> |
| 912 ## - | |
| -- | ZDB-2-EDA |
| 912 ## - | |
| -- | ZDB-2-SXED |
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