2021
DOI: 10.1007/978-3-030-67788-6_15
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Counting the Game: Visualizing Changes in Play by Incorporating Game Events

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Cited by 7 publications
(6 citation statements)
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“…Most studies included a small sample size of less than 100 (n=62, 81.6%), 11 studies (14.5%) had 100-900 participants, and two studies (2.6%) had more than 1000 participants [23], [44]. Only one study did not report its study sample size [45]…”
Section: B Study Populationmentioning
confidence: 99%
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“…Most studies included a small sample size of less than 100 (n=62, 81.6%), 11 studies (14.5%) had 100-900 participants, and two studies (2.6%) had more than 1000 participants [23], [44]. Only one study did not report its study sample size [45]…”
Section: B Study Populationmentioning
confidence: 99%
“…Coding of data extracted from online log data was used in eight articles (10.5%) in the form of game-logged data [45], [89]- [92], students' actions in LMS log files [24], [93] and teacher's online logs [94].…”
Section: Raw Data Formmentioning
confidence: 99%
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“…Such networks can be employed to compare discourse visually and statistically from individuals or groups [20]. This method has been used, for example, to analyze the development of learners' epistemic frames during play [21] and measure the co-occurrence of concepts within the conversations, topics, or activities that take place during learning [20], yet it has not been employed for SD. ENA offers insight into how codes interact in a single claim or a group of claims to produce meaning; code co-occurrences can be aggregated to scrutinize patterns in claim content or debate structure.…”
Section: Analysis and Data Modellingmentioning
confidence: 99%