Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics
In recent years, several innovations have emerged in the field of education, including Blended-Learning, Massive Open Online Courses, Flipped Classroom and Gamification. In particular, several investigations have highlighted the effectiveness of student response systems, or clickers, in different su...
| Main Authors: | , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/9025 |
| _version_ | 1789406503805911040 |
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| author | Herrada Valverde, Rosario Isabel Baños Navarro, Raúl Alcayde García, Alfredo |
| author_facet | Herrada Valverde, Rosario Isabel Baños Navarro, Raúl Alcayde García, Alfredo |
| author_sort | Herrada Valverde, Rosario Isabel |
| collection | DSpace |
| description | In recent years, several innovations have emerged in the field of education, including Blended-Learning, Massive Open Online Courses, Flipped Classroom and Gamification. In particular, several investigations have highlighted the effectiveness of student response systems, or clickers, in different subjects and disciplines. Although some literature reviews have been published on this subject, none of them offer a review of a large volume of publications from a multidisciplinary approach. Similarly, in the literature there are no studies that have analyzed scientific collaborations on this subject. To respond to these concerns, we proposed the use of a bot to retrieve information from a large number of papers (1696 documents co-authored by a total of 4091 researchers) included in the Scopus database. The disciplines covered include natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences and humanities, and the arts. The review of the literature reveals that student response systems are generally well-perceived by teachers and students in all the disciplines. Another interesting result achieved from visual data obtained using network visualization software and word clouds is that student response systems are mainly used in some disciplines, such as physics, chemistry, medicine, and nursing. It is clearly observed that the relationship between researchers from the same country is stronger than between researchers from different countries. Finally, some reflections are included on the role of student response systems in online teaching, especially regarding the changes experienced after the COVID-19 pandemic. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-9025 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-90252023-04-12T19:13:09Z Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics Herrada Valverde, Rosario Isabel Baños Navarro, Raúl Alcayde García, Alfredo educational technology learning and teaching student response systems clickers visual analytics network visualization software In recent years, several innovations have emerged in the field of education, including Blended-Learning, Massive Open Online Courses, Flipped Classroom and Gamification. In particular, several investigations have highlighted the effectiveness of student response systems, or clickers, in different subjects and disciplines. Although some literature reviews have been published on this subject, none of them offer a review of a large volume of publications from a multidisciplinary approach. Similarly, in the literature there are no studies that have analyzed scientific collaborations on this subject. To respond to these concerns, we proposed the use of a bot to retrieve information from a large number of papers (1696 documents co-authored by a total of 4091 researchers) included in the Scopus database. The disciplines covered include natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences and humanities, and the arts. The review of the literature reveals that student response systems are generally well-perceived by teachers and students in all the disciplines. Another interesting result achieved from visual data obtained using network visualization software and word clouds is that student response systems are mainly used in some disciplines, such as physics, chemistry, medicine, and nursing. It is clearly observed that the relationship between researchers from the same country is stronger than between researchers from different countries. Finally, some reflections are included on the role of student response systems in online teaching, especially regarding the changes experienced after the COVID-19 pandemic. 2020-12-09T09:24:37Z 2020-12-09T09:24:37Z 2020-11-24 info:eu-repo/semantics/article 2227-7102 http://hdl.handle.net/10835/9025 en https://www.mdpi.com/2227-7102/10/12/348 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | educational technology learning and teaching student response systems clickers visual analytics network visualization software Herrada Valverde, Rosario Isabel Baños Navarro, Raúl Alcayde García, Alfredo Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title | Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title_full | Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title_fullStr | Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title_full_unstemmed | Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title_short | Student Response Systems: A Multidisciplinary Analysis Using Visual Analytics |
| title_sort | student response systems: a multidisciplinary analysis using visual analytics |
| topic | educational technology learning and teaching student response systems clickers visual analytics network visualization software |
| url | http://hdl.handle.net/10835/9025 |
| work_keys_str_mv | AT herradavalverderosarioisabel studentresponsesystemsamultidisciplinaryanalysisusingvisualanalytics AT banosnavarroraul studentresponsesystemsamultidisciplinaryanalysisusingvisualanalytics AT alcaydegarciaalfredo studentresponsesystemsamultidisciplinaryanalysisusingvisualanalytics |