Personalizing Feedback Using Voice Comments
<p>While text-based feedback is normally used by college instructors to help students improve their written assignments, it is important to consider using voice comment tools for further personalization. New and easily-accessible technologies provide this option. Our study focused on surveying...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Council for Open and Distance Education (ICDE)
2018-12-01
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| Series: | Open Praxis |
| Subjects: | |
| Online Access: | https://openpraxis.org/articles/25 |
| _version_ | 1811162087441825792 |
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| author | Kjrsten Keane Daniel McCrea Miriam Russell |
| author_facet | Kjrsten Keane Daniel McCrea Miriam Russell |
| author_sort | Kjrsten Keane |
| collection | DOAJ |
| description | <p>While text-based feedback is normally used by college instructors to help students improve their written assignments, it is important to consider using voice comment tools for further personalization. New and easily-accessible technologies provide this option. Our study focused on surveying undergraduates who received voice comments on their written assignments. Students were queried on their preferences for feedback delivery and survey questions probed student responses both quantitatively and qualitatively. Two voice comment tools were used: Adobe Acrobat Reader and Kaizena voice comments. Results showed the majority (66.7%) of students surveyed preferred the addition of voice comment feedback over written comments alone. Appendices supply tool information, full data sets and extensive student commentary regarding their experience after receiving voice comments.</p> |
| first_indexed | 2024-04-10T06:23:49Z |
| format | Article |
| id | doaj.art-7dac8b9c8d2b46c6a7bf870844cce95f |
| institution | Directory Open Access Journal |
| issn | 1369-9997 2304-070X |
| language | English |
| last_indexed | 2024-04-10T06:23:49Z |
| publishDate | 2018-12-01 |
| publisher | International Council for Open and Distance Education (ICDE) |
| record_format | Article |
| series | Open Praxis |
| spelling | doaj.art-7dac8b9c8d2b46c6a7bf870844cce95f2023-03-01T21:21:15ZengInternational Council for Open and Distance Education (ICDE)Open Praxis1369-99972304-070X2018-12-0110430932410.5944/openpraxis.10.4.90925Personalizing Feedback Using Voice CommentsKjrsten Keane0Daniel McCrea1Miriam Russell2SUNY Empire State CollegeSUNY Empire State CollegeSUNY Empire State College<p>While text-based feedback is normally used by college instructors to help students improve their written assignments, it is important to consider using voice comment tools for further personalization. New and easily-accessible technologies provide this option. Our study focused on surveying undergraduates who received voice comments on their written assignments. Students were queried on their preferences for feedback delivery and survey questions probed student responses both quantitatively and qualitatively. Two voice comment tools were used: Adobe Acrobat Reader and Kaizena voice comments. Results showed the majority (66.7%) of students surveyed preferred the addition of voice comment feedback over written comments alone. Appendices supply tool information, full data sets and extensive student commentary regarding their experience after receiving voice comments.</p>https://openpraxis.org/articles/25technologyfeedbackvoice commentskaizenaadobe acrobat reader |
| spellingShingle | Kjrsten Keane Daniel McCrea Miriam Russell Personalizing Feedback Using Voice Comments Open Praxis technology feedback voice comments kaizena adobe acrobat reader |
| title | Personalizing Feedback Using Voice Comments |
| title_full | Personalizing Feedback Using Voice Comments |
| title_fullStr | Personalizing Feedback Using Voice Comments |
| title_full_unstemmed | Personalizing Feedback Using Voice Comments |
| title_short | Personalizing Feedback Using Voice Comments |
| title_sort | personalizing feedback using voice comments |
| topic | technology feedback voice comments kaizena adobe acrobat reader |
| url | https://openpraxis.org/articles/25 |
| work_keys_str_mv | AT kjrstenkeane personalizingfeedbackusingvoicecomments AT danielmccrea personalizingfeedbackusingvoicecomments AT miriamrussell personalizingfeedbackusingvoicecomments |