On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study
Abstract E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners’ involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparis...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-10-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-022-00210-0 |
| _version_ | 1828096206878801920 |
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| author | Ricardo M. Meira Ferrão Luis Martin Llamas-Nistal Manuel J. Fernández Iglesias |
| author_facet | Ricardo M. Meira Ferrão Luis Martin Llamas-Nistal Manuel J. Fernández Iglesias |
| author_sort | Ricardo M. Meira Ferrão Luis |
| collection | DOAJ |
| description | Abstract E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners’ involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a primary phase, the goal was to center the study and research made (background, state of the art, survey and interviews to uncover motives and behavior patterns). In an additional stage, the development, trails and validation of an operating prototype of an Intelligent Alerting System to grant and evaluate concepts, gather statistical data on its efficiency, explore and detect if course accomplishment rates did actually improve. The results measured the effectiveness of learning (accomplishment and dropout rates) before and after the application of the proposed solution. Finally, some related work is considered, as well as emerging commercial solutions are compared with the proposed solution. |
| first_indexed | 2024-04-11T07:26:44Z |
| format | Article |
| id | doaj.art-ab797a0388894bda87c6f081c9026bd6 |
| institution | Directory Open Access Journal |
| issn | 2196-7091 |
| language | English |
| last_indexed | 2024-04-11T07:26:44Z |
| publishDate | 2022-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Smart Learning Environments |
| spelling | doaj.art-ab797a0388894bda87c6f081c9026bd62022-12-22T04:37:04ZengSpringerOpenSmart Learning Environments2196-70912022-10-019111810.1186/s40561-022-00210-0On the introduction of intelligent alerting systems to reduce e-learning dropout: a case studyRicardo M. Meira Ferrão Luis0Martin Llamas-Nistal1Manuel J. Fernández Iglesias2AtlanTTic, University of VigoAtlanTTic, University of VigoAtlanTTic, University of VigoAbstract E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners’ involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a primary phase, the goal was to center the study and research made (background, state of the art, survey and interviews to uncover motives and behavior patterns). In an additional stage, the development, trails and validation of an operating prototype of an Intelligent Alerting System to grant and evaluate concepts, gather statistical data on its efficiency, explore and detect if course accomplishment rates did actually improve. The results measured the effectiveness of learning (accomplishment and dropout rates) before and after the application of the proposed solution. Finally, some related work is considered, as well as emerging commercial solutions are compared with the proposed solution.https://doi.org/10.1186/s40561-022-00210-0E-learningDropoutBehavioural patternsAt-risk studentsIntelligent alerting systemPrototype |
| spellingShingle | Ricardo M. Meira Ferrão Luis Martin Llamas-Nistal Manuel J. Fernández Iglesias On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study Smart Learning Environments E-learning Dropout Behavioural patterns At-risk students Intelligent alerting system Prototype |
| title | On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study |
| title_full | On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study |
| title_fullStr | On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study |
| title_full_unstemmed | On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study |
| title_short | On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study |
| title_sort | on the introduction of intelligent alerting systems to reduce e learning dropout a case study |
| topic | E-learning Dropout Behavioural patterns At-risk students Intelligent alerting system Prototype |
| url | https://doi.org/10.1186/s40561-022-00210-0 |
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