Publicação
A Framework for Teaching Empathy to Data Scientists: Building Human-Centered and Responsible Data Science Through Empathy
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Victorino, Guilherme Hidalgo Barata Martins | |
| dc.contributor.author | Greczko, Lara | |
| dc.date.accessioned | 2024-11-11T12:29:33Z | |
| dc.date.available | 2024-11-11T12:29:33Z | |
| dc.date.issued | 2024-10-30 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management | pt_PT |
| dc.description.abstract | This study presents a holistic framework for integrating empathy into data science education, highlighting its crucial role in promoting people-centered and responsible data science. Recognizing the increasing complexity of socio-technical challenges faced by data scientists, the research establishes the necessity of empathy as a key skill in their education. The methodology employs a qualitative, multi-layered approach, including a scoping literature review to map existing knowledge on fostering empathy in STEM and design education, a benchmarking of top data science programs to examine current curricula, and in-depth interviews with educators and practitioners for practical insights. Findings reveal significant gaps, including the lack of a unified empathy definition, as well as a discrepancy between theoretical ideals versus their actual practice in education. The research advocates for a nontraditional, multidisciplinary, and hands-on educational approach that combines technical proficiency with empathetic understanding, viewed through communicational, relational, and ethical lenses. Conceptualizing empathy as both a process and an outcome, this study suggests that empathic teaching, learning, and practice can better prepare data scientists to engage more effectively with diverse stakeholders and address responsibility dimensionsinformed by social empathy. The proposed framework seeks to both improve educational outcomes and advance a human-centered approach to data-driven systems, aligning with core values and societal needs. | pt_PT |
| dc.identifier.tid | 203777689 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/174965 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Empathy in Data Science Education | pt_PT |
| dc.subject | Human-Centered Data Science | pt_PT |
| dc.subject | Social Responsibility in Data Science | pt_PT |
| dc.subject | Soft Skills in STEM | pt_PT |
| dc.subject | STEMpathy | pt_PT |
| dc.subject | SDG 4 - Quality education | pt_PT |
| dc.subject | SDG 12 - Responsible production and consumption | pt_PT |
| dc.subject | SDG 17 - Partnerships for the goals | pt_PT |
| dc.title | A Framework for Teaching Empathy to Data Scientists: Building Human-Centered and Responsible Data Science Through Empathy | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | embargoedAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão dos Sistemas e Tecnologias de Informação | pt_PT |