Proceedings of the 8th International Conference on Learning Analytics and Knowledge 2018
DOI: 10.1145/3170358.3170414
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Epistemic network analysis of students' longer written assignments as formative/summative evaluation

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Cited by 19 publications
(19 citation statements)
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“…Based on those and convergent by the data, we define ENA was conducted to identify if there are behavioral similarities between extreme users and novice users. The ENA tool [1] was used where its algorithm uses a moving window to construct a network model for each line in the data, showing how codes in the current line are connected to codes that occur within the recent temporal context [15], defined as 1 lines (each line plus the previous lines) within a given conversation. The resulting networks are aggregated for all lines for each unit of analysis in the model.…”
Section: Methodsmentioning
confidence: 99%
“…Based on those and convergent by the data, we define ENA was conducted to identify if there are behavioral similarities between extreme users and novice users. The ENA tool [1] was used where its algorithm uses a moving window to construct a network model for each line in the data, showing how codes in the current line are connected to codes that occur within the recent temporal context [15], defined as 1 lines (each line plus the previous lines) within a given conversation. The resulting networks are aggregated for all lines for each unit of analysis in the model.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, 10 articles (13.2%) were coded based on diverse coding schemes, for example, eye movements [95], [96], diagnostic activities [97], [98], written assignments [25], [99], and coding of online postings [100], [101].…”
Section: Raw Data Formmentioning
confidence: 99%
“…All 76 reviewed articles included comparisons that can be grouped into one of eight categories (Figure 5). In 23 articles (30.3 %), the comparison was across levels of participants' performance, for example, high vs. low performers [19], [23], [25], [50], [74], [76], [86], student competency level [69], [102], quality of ideas [46], [73], learning outcomes [80], [83] , positive vs. negative gain [82], proficiency level [68], accuracy level [96] and correct graph solving [95].…”
Section: Comparisonsmentioning
confidence: 99%
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