Digital Pedagogy for the Present: An Artificial Intelligence Methodology for Curriculum Development
| dc.contributor.author | Rufrano, Michelle | es_ES |
| dc.contributor.author | Yeung, Jean-Ezra | es_ES |
| dc.date.accessioned | 2024-08-04T15:31:42Z | |
| dc.date.available | 2024-08-04T15:31:42Z | |
| dc.date.issued | 2023-06-16 | |
| dc.description.abstract | [EN] In an age of information, course creation at the university-level poses new challenges in that the constant influx of new data makes it difficult for instructors to update courses with the latest research. Using Artificial Intelligence (AI), we created a curriculum that matches the contemporary experiences of students. This approach was used to help design a course on Aging and Adulthood using the life course model. We were able to create a topological map of topics and subtopics that provided the instructor with the ability to quickly understand the shape of the data, thematic connections, and data voids. Choosing from a myriad of research articles from a derived skeleton of topics, the instructor was then able to design a unique course with the most relevant research and supplement the syllabus with seminal works in the field. | en_EN |
| dc.description.accrualMethod | OCS | es_ES |
| dc.description.bibliographicCitation | Rufrano, M.; Yeung, J. (2023). Digital Pedagogy for the Present: An Artificial Intelligence Methodology for Curriculum Development. En Editorial Universitat Politècnica de València, 9th International Conference on Higher Education Advances (HEAd'23) (pp. 757-764). https://doi.org/10.4995/HEAd23.2023.16175 | es_ES |
| dc.description.upvformatpfin | 764 | es_ES |
| dc.description.upvformatpinicio | 757 | es_ES |
| dc.format.extent | 8 | es_ES |
| dc.identifier.doi | 10.4995/HEAd23.2023.16175 | |
| dc.identifier.isbn | 9788413960852 | |
| dc.identifier.uri | https://riunet.upv.es/handle/10251/207024 | |
| dc.language | Inglés | es_ES |
| dc.publisher | Editorial Universitat Politècnica de València | es_ES |
| dc.relation.conferencedate | Junio 19-22, 2023 | es_ES |
| dc.relation.conferencename | Ninth International Conference on Higher Education Advances | es_ES |
| dc.relation.conferenceplace | Valencia, España | es_ES |
| dc.relation.ispartof | 9th International Conference on Higher Education Advances (HEAd'23) | |
| dc.relation.pasarela | OCS\16175 | es_ES |
| dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/HEAD/HEAd23/paper/view/16175 | es_ES |
| dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
| dc.rights.accessRights | Abierto | es_ES |
| dc.subject | Digital pedagogy | es_ES |
| dc.subject | Topological data analysis | es_ES |
| dc.subject | Artificial Intelligence (AI) | es_ES |
| dc.subject | Curriculum development | es_ES |
| dc.subject | Life Course | es_ES |
| dc.subject | Epigenetics | es_ES |
| dc.title | Digital Pedagogy for the Present: An Artificial Intelligence Methodology for Curriculum Development | es_ES |
| dc.type | Capítulo de libro | es_ES |
| dc.type | Comunicación en congreso | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dspace.entity.type | Publication | |
| upv.uuid | 59dea893-2f4b-4f5a-a13b-253fc8af91d3 | es_ES |
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