{"id":25753,"date":"2019-10-04T16:04:52","date_gmt":"2019-10-04T15:04:52","guid":{"rendered":"http:\/\/blogs.ua.pt\/cidtff\/?p=25753"},"modified":"2019-10-04T16:04:52","modified_gmt":"2019-10-04T15:04:52","slug":"capitulo-how-the-help-feature-can-boost-the-self-learning-process-of-caqdas-the-webqda-case-study","status":"publish","type":"post","link":"https:\/\/cidtff.web.ua.pt\/blog\/?p=25753","title":{"rendered":"Cap\u00edtulo | How the \u201cHelp\u201d Feature Can Boost the Self-learning Process of CAQDAS: The webQDA Case Study"},"content":{"rendered":"\n
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F\u00e1bio Freitas (CIDTFF), Carla V. Leite, Francisl\u00ea Neri de Souza (CIDTFF) & Ant\u00f3nio Pedro Costa (CIDTFF) | Computer Supported Qualitative Research. WCQR 2019. Advances in Intelligent Systems and Computing, pp. 166-176<\/strong><\/p>\n\n\n\n

Abstract:<\/strong><\/p>\n\n\n\n

“The inherent demand for scientific production commonly leads us to rely on digital tools for the data analysis process, such as Computer Assisted Qualitative Data Analysis Software. However, learning those tools can be challenging for researchers, especially since it is commonly an autonomous task. Taking that into account, webQDA software displays a \u201cHelp\u201d feature which intends to support its users to boost the self-learning process. Aiming to understand the potential of this feature, an evaluation workshop was carried out with 22 participants. It was possible to verify a significant user satisfaction, being the \u201cclarity of the instructions\u201d and the \u201cEase of use\u201d the highest valued aspects of the \u201cHelp\u201d feature in webQDA. It was possible to infer that this feature is a viable option to support the self-learning process of this particular software.”<\/p>\n\n\n\n

ver mais<\/a><\/p>\n\n\n\n

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Refer\u00eancia:
<\/strong>Freitas F., Leite C.V., de Souza F.N., & Costa A.P. (2019). How the \u201cHelp\u201d Feature Can Boost the Self-learning Process of CAQDAS: The webQDA Case Study. In A. Costa, L. Reis, A. Moreira (eds), Computer Supported Qualitative Research. WCQR 2019. Advances in Intelligent Systems and Computing<\/em>, vol 1068, pp. 166-176. Springer, Cham. DOI: 10.1007\/978-3-030-31787-4_14 . Retrieved from https:\/\/link.springer.com\/chapter\/10.1007%2F978-3-030-31787-4_14<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

F\u00e1bio Freitas (CIDTFF), Carla V. Leite, Francisl\u00ea Neri de Souza (CIDTFF) & Ant\u00f3nio Pedro Costa (CIDTFF) | Computer Supported Qualitative Research. WCQR 2019. Advances in Intelligent Systems and Computing, pp. 166-176 Abstract: “The inherent demand for scientific production commonly leads us to rely on digital tools for the data analysis process, such as Computer Assisted Qualitative Data Analysis Software. However, learning those tools […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[14,35,5],"tags":[],"class_list":["post-25753","post","type-post","status-publish","format-standard","hentry","category-destaques","category-livros-capitulos","category-publicacoes"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t