2019
DOI: 10.1007/978-3-030-23207-8_1
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Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration

Abstract: This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to scaffold collaboration within online learning groups.

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Cited by 6 publications
(7 citation statements)
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References 15 publications
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“…This result supports Hypothesis 3a (see p. 104) and suggests that volume is a key driver of storage quality. This result is also in line with prior studies in the literature showing that a larger volume of contribution during collaboration allows learners to generate a greater amount of knowledge on a given subject (Adeniran et al, 2019;Doberstein et al, 2019). Volume and completeness are each considered to be manifestations of the depth of learners' understanding of the learning content when taking notes (Adeniran et al, 2019), so it is reasonable to expect these variables to be correlated.…”
Section: The Effect Of Volume On Storage Qualitysupporting
confidence: 88%
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“…This result supports Hypothesis 3a (see p. 104) and suggests that volume is a key driver of storage quality. This result is also in line with prior studies in the literature showing that a larger volume of contribution during collaboration allows learners to generate a greater amount of knowledge on a given subject (Adeniran et al, 2019;Doberstein et al, 2019). Volume and completeness are each considered to be manifestations of the depth of learners' understanding of the learning content when taking notes (Adeniran et al, 2019), so it is reasonable to expect these variables to be correlated.…”
Section: The Effect Of Volume On Storage Qualitysupporting
confidence: 88%
“…This result is also in line with prior studies in the literature showing that a larger volume of contribution during collaboration allows learners to generate a greater amount of knowledge on a given subject (Adeniran et al, 2019;Doberstein et al, 2019). Volume and completeness are each considered to be manifestations of the depth of learners' understanding of the learning content when taking notes (Adeniran et al, 2019), so it is reasonable to expect these variables to be correlated. Explained in the language of the collaborative encoding-storage paradigm, groups are better able to produce high-quality storage when they engage in more productive encoding behaviors, i.e.…”
Section: The Effect Of Volume On Storage Qualitysupporting
confidence: 88%
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“…Interaksi dilakukan dalam bentuk teks. Collaboration Metric Model akan digunakan untuk menganalisa beberapa hal sebagai berikut: sinkronisasi dalam kontribusi, besaran kontribusi, konektivitas kontribusi antar departemen atau users, dan kualitas dari kontribusi yang diberikan [22].…”
Section: Metode Penelitianunclassified
“…Consequently, volume has been regarded in the literature as an important measure of the quality of the notes students take. Research has shown that collaborative note-takers take a larger volume of notes than individual note-takers and tend to perform better on related exams (Kam et al, 2005), and it has been suggested that increased volume in collaborative notes may help students generate more ideas on the topics being focused on (Adeniran et al, 2019;Doberstein et al, 2019). However, more voluminous notes may not always be best, as Mueller and Oppenheimer (2014) also found that increased word counts correlated with reduced learning in cases where notes were written as word-for-word transcriptions of the lectures.…”
Section: Literature Reviewmentioning
confidence: 99%