Interdisciplinary and multidisciplinary processes in the post-pandemic educational system in Peru DOI
Aarón Samuel Bracho Mosquera, Nancy Rosillo Suárez, Rafael Romero-Carazas

et al.

Management, Journal Year: 2023, Volume and Issue: 1, P. 6 - 6

Published: Dec. 19, 2023

The health crisis triggered by COVID-19 forced a restructuring of the education system tomaintain flow learning and ensure continuity education. In response to thissituation, Ministry Education Peru, through its Undersecretary EducationalFoundations, launched interdisciplinary project initiatives that educators should execute withtheir students virtually. After overcoming critical phase pandemic in educatorsmaintained implementation this type projects, which were integrated with keycompetencies into curriculum. However, difficulty arose: lack preparation ofteachers approach teaching from an perspective, opting instead formultidisciplinary approaches. This scenario led development research thepurpose examining application interdisciplinarity multidisciplinarity theeducational field after pandemic. For this, documentary descriptive researchapproach was adopted, using analytical-synthetic method. Google Forms used todistribute survey Likert scale 42 teachers educational unit Lima,selected non-probability sampling for convenience. information collected wasorganized tables facilitate analysis discussion findings, indicatedthat use prevails, attributed need strengthentheir skills collaborative work

Language: Английский

Benefits of Artificial Intelligence in human talent management DOI
Julio Cesar Gama Espinosa, L Sanchez, Melisa Andrea Fajardo Pereira

et al.

Multidisciplinar, Journal Year: 2024, Volume and Issue: 1, P. 14 - 14

Published: July 25, 2024

Human talent and artificial intelligence have been closely related, having a great impact on the performance productivity of today's organizations. In this research work, we sought to identify challenges posed by implementation tools in human management, such as data privacy, discrimination automated decision making, through review scientific literature, main objective. To develop it, sources articles, magazines previous carried out topic last ten years were used, with which it was possible use AI for selection retention talent, development skills skills, addition benefiting well-being collaborators; but also disadvantages its privacy growing concern about job replacement. Concluding, take full advantage benefits minimize problems associated is necessary clear transparent regulations, encouraging collaboration knowledge employees ensuring ethics AI. within organization

Language: Английский

Citations

40

Benefits of artificial intelligence in companies DOI
Andrea Valentina Cañón Solano, Luz Daniela Cardona Arboleda, Claudia Cristina Coral García

et al.

Management, Journal Year: 2024, Volume and Issue: 1, P. 17 - 17

Published: July 25, 2024

The impact generated by artificial intelligence (AI) on companies radically transforms current business dynamics. In this work, we sought to identify the benefits of implementation revolutionary technology in companies. Its development and execution achieves notable improvements operational efficiency, decision making, continuous innovation service personalization, latter being a crucial factor for customer satisfaction. To these benefits, different research documents were used, where it was established, that is fundamental success company, because not only generates with automation optimization routine tasks, but also most efficient use. resources, generating significant reduction operating costs

Language: Английский

Citations

40

Artificial Intelligence as a tool for analysis in Social Sciences: methods and applications DOI
Marena Hernández Lugo

LatIA, Journal Year: 2024, Volume and Issue: 2, P. 11 - 11

Published: July 23, 2024

Artificial Intelligence (AI) transforms the social sciences by providing new methodologies and tools for data analysis. This article was based on a comprehensive literature review that analyzed role of artificial intelligence as an analytical tool in sciences. It observed ability AI to process text, images, audio integrated manner allows researchers address complex problems with greater accuracy efficiency. Multimodal facilitate analysis large volumes data, interpretation financial documents, evaluation facial expressions, which improves decision making research. Specialized databases offer access wide range optimize tasks such review, collection visualization results. In addition, safety ethics use are key priorities, creation alliances regulatory frameworks ensure responsible safe development these technologies. Initiatives Safety Alliance European Union's Act set global standards ethical AI, safeguarding both individuals society at large.

Language: Английский

Citations

25

Benefits of Artificial Intelligence and its Innovation in Organizations DOI
Diana Paola Amaya Amado, Fabian Andrés Cárdenas Diaz, Roció del Pilar Cabrera Pantoja

et al.

Multidisciplinar, Journal Year: 2024, Volume and Issue: 1, P. 15 - 15

Published: July 25, 2024

This article reviews the advances, benefits and contributions of artificial intelligence to business organizations, without ignoring need for skilled human labor talent that companies have always required which is essential economic development a company. The implementation legal frameworks regulations will in turn address issues such as organizational privacy, cybersecurity liability are important aspects be addressed this article. Thus, paper focuses on compilation scientific articles, books other texts topics were evidenced (i). - Innovation invention, (ii). Big Data, (iii). -Implementation (iv). -legality responsibility decisions, likewise, it examines challenges AI highlights smart contracts technological innovation allows secure, fast low-risk transactions using blockchain technology, why literature review aims explore how communication tools can facilitate work population, decreasing time spent some activities

Language: Английский

Citations

21

Staff turnover in companies DOI
Diana Paola Martínez Diaz

Management, Journal Year: 2023, Volume and Issue: 1, P. 16 - 16

Published: Dec. 15, 2023

Over time and part of the recent events left by last pandemic, importance job stability becomes increasingly relevant, some jobs have been recovered, others replaced, or organizations reduce their staff, using technology to replace positions, thus do not require a human resource. The demand for skills access position is increasing, academic work experience, career age, which are determining factors, on other hand cost living, has also had significant growth, this leads people idealize themselves job. , they must maintain due economic balance that represents, despite all these continue leave jobs, personnel turnover within company continues strong impact, becoming an intriguing fact; What may be happening companies so employees abandon what those factors employee make decision adrift, taking into account directly affects needs? there different components, both internal external

Language: Английский

Citations

29

Artificial Intelligence for the development of qualitative studies DOI
Alfredo Javier Pérez Gamboa, Diego D. Díaz-Guerra

LatIA, Journal Year: 2023, Volume and Issue: 1, P. 4 - 4

Published: Dec. 12, 2023

The integration of Artificial Intelligence (AI) is revolutionizing qualitative research by optimizing data collection and analysis. Tools such as machine learning natural language processing enable the analysis large volumes information with precision speed, facilitating identification patterns trends. adoption virtual methods, online focus groups video interviews, has overcome geographical barriers, enabling participation diverse representative samples, in addition to being more cost-effective allowing real-time acquisition. incorporation advanced biometric techniques, eye tracking, facial expression analysis, neuroimaging, provides a holistic accurate understanding consumers' emotional subconscious responses. These innovations allow companies adapt their marketing strategies product designs effectively, enhancing personalization resonance experiences offered.

Language: Английский

Citations

13

Artificial Intelligence in Psychological Diagnosis and Intervention DOI
Lipsary Águila Ramírez

LatIA, Journal Year: 2024, Volume and Issue: 1, P. 26 - 26

Published: July 27, 2024

The integration of artificial intelligence (AI) in the field psychology is significantly transforming diagnosis and intervention mental disorders. Deep learning techniques enable analysis large volumes data, such as neuroimages electroencephalograms (EEG), to identify diagnose psychiatric conditions with greater precision. These technologies also facilitate early detection risk factors by analyzing data from social networks electronic medical records, enabling personalized interventions. AI-based chatbots mobile applications democratize access psychological therapy, providing real-time support improving management anxiety depression. Additionally, AI optimizes administrative tasks enhances training new clinicians through platforms virtual simulators, contributing better preparedness efficiency healthcare system. innovations not only improve quality treatment but more proactive patient-centered care

Language: Английский

Citations

5

Management trends and implementation of AI in university management DOI
John Edisson García Peñaloza,

Alexis Ferley Bohórquez,

P. Balaguera

et al.

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 866 - 866

Published: March 6, 2025

The objective of this article was to explore managerial trends and the implementation artificial intelligence in university management, with a particular focus on Latin American context. To end, mixed study designed, operationalized through documentary review bibliometric procedures, qualitative thematic analysis, triangulation system, an integration data supported by external sources. results were organized into five management strategies, three emerging trends, recommendations for managers, main themes. These reflect significant progress, but also pose challenges, especially regions structural inequalities resource constraints. analyzed indicate need balanced approach that combines technological innovation ethical social considerations. Furthermore, findings emphasize importance international collaboration local capacity building ensure equitable sustainable AI. It is concluded it cardinal underline potential AI transform higher education, provided technical, ethical, challenges are addressed comprehensively.

Language: Английский

Citations

0

Artificial Intelligence applied to teaching and learning processes DOI
Carlos Alberto Gómez Cano, Ana Lucía Colala Troya

LatIA, Journal Year: 2023, Volume and Issue: 1, P. 2 - 2

Published: Dec. 10, 2023

Artificial Intelligence (AI) transforms teaching and learning processes by personalizing educational content according to individual students' needs, thus enhancing their performance motivation. Tools like SlidesAI Tome facilitate the creation of efficient resources, although quality privacy generated data need be addressed. AI also enables interactive immersive environments, such as simulations games, that adapt in real-time actions. These environments provide richer more practical experiences. Additionally, multilingual videos with avatars enhances accessibility customization learning. However, ensuring equitable access these technologies is crucial avoid inequalities. As demonstrated, offers multiple benefits for education but requires careful implementation maximize its advantages mitigate potential risks.

Language: Английский

Citations

10

Artificial Intelligence Applied to Telemedicine: opportunities for healthcare delivery in rural areas DOI

Ana María Chavez-Cano

LatIA, Journal Year: 2023, Volume and Issue: 1, P. 3 - 3

Published: Dec. 10, 2023

The integration of artificial intelligence (AI) in telemedicine is revolutionizing the provision healthcare services, especially rural areas. These technologies enable overcoming geographical and resource barriers, facilitating precise diagnoses, personalized recommendations, continuous monitoring through portable devices. AI systems analyze patient data suggest most appropriate care options based on their health profile, thus optimizing efficiency system improving satisfaction. In addition, automation administrative tasks frees up time for professionals to concentrate direct care. To ensure trust effectiveness these technologies, it essential implement clinically validated unbiased algorithms, while fostering transparency collaboration among developers, professionals, regulators. Therefore, applied offers a revolutionary opportunity improve accessibility quality areas by promoting more equitable efficient

Language: Английский

Citations

9