Chapter Profiling students’ satisfaction towards university courses with a latent class approach
Collecting and analysing students’ opinions towards the learning experiences lived during their enrolment in an academic program is widely recognised as a key strategy to evaluate tertiary education quality. Academic institutions require students to participate every year in specific surveys, aiming...
Պահպանված է:
| Հիմնական հեղինակներ: | , , |
|---|---|
| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
Firenze University Press, Genova University Press
2023
|
| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20230803_9791221501063_72 |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
|
| _version_ | 1869530441001730048 |
|---|---|
| author | Coscarelli, Angela Costanzo, Giuseppina Damiana Misuraca, Michelangelo |
| author_browse | Coscarelli, Angela Costanzo, Giuseppina Damiana Misuraca, Michelangelo |
| author_facet | Coscarelli, Angela Costanzo, Giuseppina Damiana Misuraca, Michelangelo |
| author_sort | Coscarelli, Angela |
| collection | Directory of Open Access Books |
| description | Collecting and analysing students’ opinions towards the learning experiences lived during their enrolment in an academic program is widely recognised as a key strategy to evaluate tertiary education quality. Academic institutions require students to participate every year in specific surveys, aiming at gathering their viewpoint about the organisation of the single courses, and the feelings about the traits and the effectiveness of the teaching activity. In the Italian university system, the surveys about students’ satisfaction are realised in accordance with the guidelines of the National Agency for the Evaluation of Universities and Research Institutes. Here we propose the implementation of a latent class analytical strategy to profile the satisfaction of students at a course level, taking into account the interest about each course, and the perceptions about the course organisation and the instructor performance. Since the items listed in the survey are expressed as 4-point balanced scales, we used the so-called Latent Profile Analysis (LPA) to identify unobserved clusters of courses (i.e., latent profiles) based on the responses of students to the continuous indicators concerning the different aspect related to course satisfaction. Differently from clustering approaches based on distance functions, LPA is a probabilistic model, which means that it models the probability of case belonging to a profile. An application of the strategy to the first-year courses delivered at the University of Calabria (Italy) in the academic year 2020/2021, during the second and third waves of the COVID-19 pandemic in Italy, is used to show the effectiveness of the approach. |
| format | Online |
| id | doab-20.500.12854ir-112220 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Firenze University Press, Genova University Press |
| publisherStr | Firenze University Press, Genova University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1122202025-07-17T09:59:54Z Chapter Profiling students’ satisfaction towards university courses with a latent class approach Coscarelli, Angela Costanzo, Giuseppina Damiana Misuraca, Michelangelo latent class model students' satisfaction educational system evaluation thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Collecting and analysing students’ opinions towards the learning experiences lived during their enrolment in an academic program is widely recognised as a key strategy to evaluate tertiary education quality. Academic institutions require students to participate every year in specific surveys, aiming at gathering their viewpoint about the organisation of the single courses, and the feelings about the traits and the effectiveness of the teaching activity. In the Italian university system, the surveys about students’ satisfaction are realised in accordance with the guidelines of the National Agency for the Evaluation of Universities and Research Institutes. Here we propose the implementation of a latent class analytical strategy to profile the satisfaction of students at a course level, taking into account the interest about each course, and the perceptions about the course organisation and the instructor performance. Since the items listed in the survey are expressed as 4-point balanced scales, we used the so-called Latent Profile Analysis (LPA) to identify unobserved clusters of courses (i.e., latent profiles) based on the responses of students to the continuous indicators concerning the different aspect related to course satisfaction. Differently from clustering approaches based on distance functions, LPA is a probabilistic model, which means that it models the probability of case belonging to a profile. An application of the strategy to the first-year courses delivered at the University of Calabria (Italy) in the academic year 2020/2021, during the second and third waves of the COVID-19 pandemic in Italy, is used to show the effectiveness of the approach. 2023-08-08T06:17:11Z 2023-08-08T06:17:11Z 2023-08-03T15:05:16Z 2023 chapter ONIX_20230803_9791221501063_72 2704-5846 https://library.oapen.org/handle/20.500.12657/74876 9791221501063 https://directory.doabooks.org/handle/20.500.12854/112220 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74876/1/9791221501063-04.pdf https://library.oapen.org/bitstream/20.500.12657/74876/1/9791221501063-04.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.04 10.36253/979-12-215-0106-3.04 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access |
| spellingShingle | latent class model students' satisfaction educational system evaluation thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Coscarelli, Angela Costanzo, Giuseppina Damiana Misuraca, Michelangelo Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title | Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title_full | Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title_fullStr | Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title_full_unstemmed | Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title_short | Chapter Profiling students’ satisfaction towards university courses with a latent class approach |
| title_sort | chapter profiling students satisfaction towards university courses with a latent class approach |
| topic | latent class model students' satisfaction educational system evaluation thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| topic_facet | latent class model students' satisfaction educational system evaluation thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| url | ONIX_20230803_9791221501063_72 |
| work_keys_str_mv | AT coscarelliangela chapterprofilingstudentssatisfactiontowardsuniversitycourseswithalatentclassapproach AT costanzogiuseppinadamiana chapterprofilingstudentssatisfactiontowardsuniversitycourseswithalatentclassapproach AT misuracamichelangelo chapterprofilingstudentssatisfactiontowardsuniversitycourseswithalatentclassapproach |