b444083cd7af48686b3c550f901b4327 joumed_a2024v5n4p1607.pdf 665ba0677e7d04e56de0e4aededc2d5afd484916 joumed_a2024v5n4p1607.pdf cefe043023d197b59b6677db0e28d717e118e5411d6c4af20e6e31de87f68e25 joumed_a2024v5n4p1607.pdf Title: Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis Subject: Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. Meanwhile, big data analytics enables data journalists to handle large amounts of information in an automated manner, allowing them to perform in-depth analysis of disorganized data. This study analyzes the integration of artificial intelligence (AI) and big data in the curricula of journalism degrees offered by Spanish universities. The research employs quantitative and qualitative methods to examine the typology, syllabus, and distribution of subjects directly or indirectly addressing AI and big data topics, based on indicators such as structure, credit system, objectives, competencies, and professional profiles. The results reveal a scarce integration of AI and Big Data subjects in journalism curricula in Spain. Among the analyzed courses, only seven addressed data journalism as a complete course, while 19 introduced AI and Big Data as part of more general content. The study highlights the need for journalism education to adapt to the disruptive impact of AI and big data on the profession. It discusses the debate between focusing on teaching technological skills versus providing critical and ethical values. The research aims to contribute to the discussion on the readiness of journalism curricula to cope with technological advancements by analyzing the Spanish case. Keywords: journalism; journalism education; university; curriculum; syllabus; data journalism; technological skills; artificial intelligence; big data Author: Santiago Tejedor, Laura Cervi, Luis M. Romero-Rodríguez and Stephanie Vick Creator: LaTeX with hyperref Producer: pdfTeX-1.40.25 CreationDate: Thu Oct 31 10:27:40 2024 CET ModDate: Thu Oct 31 10:33:40 2024 CET Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 17 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 1860305 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- WLENKM+VnURWPalladioL-Bold Type 1 Custom yes yes yes 10 0 LTVITQ+URWPalladioL-Bold Type 1 Custom yes yes yes 16 0 QCYOZZ+URWPalladioL-Roma Type 1 Custom yes yes yes 22 0 LSHYAT+URWPalladioL-Ital Type 1 Custom yes yes yes 27 0 QODWNV+VnURWPalladioL Type 1 Custom yes yes yes 32 0 LHAGKZ+VnURWPalladioL-Italic Type 1 Custom yes yes yes 133 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-01-10 02:42:41 CET RepresentationInformation: joumed_a2024v5n4p1607.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-01-09 15:29:08 CET Size: 1860305 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 342 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Materials and Methods Destination: section.2 Item: Title: Results Destination: section.3 Children: Item: Title: Specific Courses About AI or Big Data Destination: subsection.3.1 Item: Title: Courses with AI or Big Data Topics Destination: subsection.3.2 Item: Title: Courses Approach Destination: subsection.3.3 Item: Title: Discussion Destination: section.4 Item: Title: References Destination: section.5 Info: Title: Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis Author: Santiago Tejedor, Laura Cervi, Luis M. Romero-Rodríguez and Stephanie Vick Subject: Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. Meanwhile, big data analytics enables data journalists to handle large amounts of information in an automated manner, allowing them to perform in-depth analysis of disorganized data. This study analyzes the integration of artificial intelligence (AI) and big data in the curricula of journalism degrees offered by Spanish universities. The research employs quantitative and qualitative methods to examine the typology, syllabus, and distribution of subjects directly or indirectly addressing AI and big data topics, based on indicators such as structure, credit system, objectives, competencies, and professional profiles. The results reveal a scarce integration of AI and Big Data subjects in journalism curricula in Spain. Among the analyzed courses, only seven addressed data journalism as a complete course, while 19 introduced AI and Big Data as part of more general content. The study highlights the need for journalism education to adapt to the disruptive impact of AI and big data on the profession. It discusses the debate between focusing on teaching technological skills versus providing critical and ethical values. The research aims to contribute to the discussion on the readiness of journalism curricula to cope with technological advancements by analyzing the Spanish case. 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