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Titlebook: Advances in Quantitative Ethnography; First International Brendan Eagan,Morten Misfeldt,Amanda Siebert-Evens Conference proceedings 2019 S

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樓主: Monomania
51#
發(fā)表于 2025-3-30 08:47:02 | 只看該作者
52#
發(fā)表于 2025-3-30 12:29:55 | 只看該作者
53#
發(fā)表于 2025-3-30 18:36:34 | 只看該作者
54#
發(fā)表于 2025-3-30 21:05:27 | 只看該作者
Conference proceedings 2019verse range of fields and perspectives, including learning analytics, history, and systems engineering, all attempting to understand the breadth of human behavior using quantitative ethnographic approaches..
55#
發(fā)表于 2025-3-31 04:39:36 | 只看該作者
1865-0929 from a diverse range of fields and perspectives, including learning analytics, history, and systems engineering, all attempting to understand the breadth of human behavior using quantitative ethnographic approaches..978-3-030-33231-0978-3-030-33232-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
56#
發(fā)表于 2025-3-31 06:05:41 | 只看該作者
Options and Options Pricing Models,ourse, overcoming social loafing behavior. High participation level students provided social aspects that contributed to the development of a safe social space for sharing, while low level participation provided content focused dialogue for the group.
57#
發(fā)表于 2025-3-31 12:40:29 | 只看該作者
58#
發(fā)表于 2025-3-31 17:01:44 | 只看該作者
Conference proceedings 2019in, USA, in October 2019...It consists of 23 full and 9 short carefully reviewed papers selected from 52 submissions. The contributions come from a diverse range of fields and perspectives, including learning analytics, history, and systems engineering, all attempting to understand the breadth of hu
59#
發(fā)表于 2025-3-31 18:33:17 | 只看該作者
60#
發(fā)表于 2025-3-31 23:05:29 | 只看該作者
Use of Training, Validation, and Test Sets for Developing Automated Classifiers in Quantitative Ethne developed for Social Disposition. However, the automated coding scheme for Inclusive Disposition was rejected during the validation stage due to issues of overfitting. Nonetheless, the results demonstrate the beneficial potential of using preclassified datasets in enhancing the efficiency and effectiveness of the automation process.
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