Conversational Functions for Knowledge Building: a Study of an Online Course at University Article Swipe
Stefano Cacciamani
,
Vittore Perrucci
,
Ahmad Khanlari
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.20368/1971-8829/1391
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.20368/1971-8829/1391
Interactions in online courses have been studied by analyzing Conversational Functions used by participants. Cacciamani, Perrucci Khanlari (2016) developed a coding scheme, named CF4KB, consisting of four Global Conversational Functions (GCF), each articulated in two Specific Conversational Functions (SCF). The aims of the present study were to explore: 1) What are the more frequently SCF used by the participants, both at the beginning and at the end of an online course, and if there are differences between the beginning and the end of the course in terms of SCF used; 2) If there is any specific pattern of SCF used at the beginning and at the end of the course and if there are any persistences in using the same SCF. For these aims, 152 messages posted in Knowledge Forum online environment by 24 university students (19 F and 5 M) were considered. The messages have been segmented into units of meaning and the 1451 resulting segments have been coded by two independent judges who applied the CF4KB. The analysis of frequencies evidenced the more frequently used SCF, at the beginning and the end of the course. Comparing SCF frequencies between the beginning and the end of the course, differences were detected. Results showed also different patterns in the use of the SCF at the beginning and at the end of the course. In addition, the persistence of one SCF was found. Implication of these results for the analysis of the interactions in online courses are discussed.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/3e1aff7f75d743b6a85eaadd671c0a22
- OA Status
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https://openalex.org/W2786684917Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20368/1971-8829/1391Digital Object Identifier
- Title
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Conversational Functions for Knowledge Building: a Study of an Online Course at UniversityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-11-03Full publication date if available
- Authors
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Stefano Cacciamani, Vittore Perrucci, Ahmad KhanlariList of authors in order
- Landing page
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https://doaj.org/article/3e1aff7f75d743b6a85eaadd671c0a22Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doaj.org/article/3e1aff7f75d743b6a85eaadd671c0a22Direct OA link when available
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Course (navigation), Online course, Coding (social sciences), Meaning (existential), Online discussion, Computer science, Mathematics education, Psychology, World Wide Web, Mathematics, Engineering, Statistics, Aerospace engineering, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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| abstract_inverted_index.coding | 20 |
| abstract_inverted_index.course | 84, 109 |
| abstract_inverted_index.found. | 231 |
| abstract_inverted_index.judges | 163 |
| abstract_inverted_index.online | 2, 69, 130, 243 |
| abstract_inverted_index.posted | 126 |
| abstract_inverted_index.showed | 203 |
| abstract_inverted_index.Results | 202 |
| abstract_inverted_index.applied | 165 |
| abstract_inverted_index.between | 76, 190 |
| abstract_inverted_index.course, | 70, 198 |
| abstract_inverted_index.course. | 186, 222 |
| abstract_inverted_index.courses | 3, 244 |
| abstract_inverted_index.meaning | 151 |
| abstract_inverted_index.pattern | 96 |
| abstract_inverted_index.present | 43 |
| abstract_inverted_index.results | 235 |
| abstract_inverted_index.scheme, | 21 |
| abstract_inverted_index.studied | 6 |
| abstract_inverted_index.Khanlari | 16 |
| abstract_inverted_index.Perrucci | 15 |
| abstract_inverted_index.Specific | 35 |
| abstract_inverted_index.analysis | 169, 238 |
| abstract_inverted_index.explore: | 47 |
| abstract_inverted_index.messages | 125, 144 |
| abstract_inverted_index.patterns | 206 |
| abstract_inverted_index.segments | 156 |
| abstract_inverted_index.specific | 95 |
| abstract_inverted_index.students | 135 |
| abstract_inverted_index.Comparing | 187 |
| abstract_inverted_index.Functions | 10, 29, 37 |
| abstract_inverted_index.Knowledge | 128 |
| abstract_inverted_index.addition, | 224 |
| abstract_inverted_index.analyzing | 8 |
| abstract_inverted_index.beginning | 62, 78, 102, 180, 192, 215 |
| abstract_inverted_index.detected. | 201 |
| abstract_inverted_index.developed | 18 |
| abstract_inverted_index.different | 205 |
| abstract_inverted_index.evidenced | 172 |
| abstract_inverted_index.resulting | 155 |
| abstract_inverted_index.segmented | 147 |
| abstract_inverted_index.consisting | 24 |
| abstract_inverted_index.discussed. | 246 |
| abstract_inverted_index.frequently | 53, 175 |
| abstract_inverted_index.university | 134 |
| abstract_inverted_index.Cacciamani, | 14 |
| abstract_inverted_index.Implication | 232 |
| abstract_inverted_index.articulated | 32 |
| abstract_inverted_index.considered. | 142 |
| abstract_inverted_index.differences | 75, 199 |
| abstract_inverted_index.environment | 131 |
| abstract_inverted_index.frequencies | 171, 189 |
| abstract_inverted_index.independent | 162 |
| abstract_inverted_index.persistence | 226 |
| abstract_inverted_index.Interactions | 0 |
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| abstract_inverted_index.persistences | 115 |
| abstract_inverted_index.participants, | 58 |
| abstract_inverted_index.participants. | 13 |
| abstract_inverted_index.Conversational | 9, 28, 36 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.01216202 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |