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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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發(fā)表于 2025-3-21 17:16:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Quantitative Ethnography
期刊簡稱First International
影響因子2023Brendan Eagan,Morten Misfeldt,Amanda Siebert-Evens
視頻videohttp://file.papertrans.cn/150/149525/149525.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Advances in Quantitative Ethnography; First International  Brendan Eagan,Morten Misfeldt,Amanda Siebert-Evens Conference proceedings 2019 S
影響因子.This book constitutes the refereed proceedings of the First International Conference on Quantitative Ethnography, ICQE 2019, held in Madison, Wisconsin, 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 human behavior using quantitative ethnographic approaches..
Pindex Conference proceedings 2019
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The Multimodal Matrix as a Quantitative Ethnography Methodologyrning Analytics: the provision of timely feedback to collocated teams and their coaches. We define two requirements that extend the QE concept in order to operationalise it such a design process, namely, the use of .-., and the availability of . to close the feedback loop. We introduce the . as a da
地板
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nCoder+: A Semantic Tool for Improving Recall of nCoder Coding interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text data and consider coding as a process of identifying words or phrases and categorizing them into cod
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Examining the Dynamic of Participation Level on Group Contribution in a Global, STEM-Focused Digitalnes low and high participation levels of students in a virtual collaborative group setting within a global, STEM-focused digital makerspace community. The results of using epistemic network analysis show that both high and low participation levels contributed to the overall balance of the group disc
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Tracing Identity Exploration Trajectories with Quantitative Ethnographic Techniques: A Case Studyork for facilitating learning as identity exploration in play-based environments. 54 high school students engaged in ., an iteratively refined course that provided systematic and personally-relevant opportunities for play, curricular, reflection and discussion activities in ., a virtual learning env
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Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Gato persevere. In this paper, we study student quitting behavior in Physics Playground (PP) – a Physics game for secondary school students. We focus on student cognition that can be inferred from their interaction with the game. PP logs meaningful and crucial student behaviors relevant to physics lea
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