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Itzelle Medina Perea

Biographic Data

ID8575063
NAMEItzelle Medina Perea
GIVEN NAMESItzelle Medina
FAMILY NAMEPerea
SIGNATUREPEREA I M
AFFILIATIONSUniversity of Sheffield
ORCID0000-0003-1702-1484
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Navigating the automation of the arts

    Open Access•Monika Fratczak, Erinma Eke Ochu et al.•ARTICLE•Convergence The International…•2026

    AI-generated art has its roots in the 1960s, driven by pioneering artists experimenting with algorithmic and rule-based systems. In contrast, over the past decade, new AI art generators, fuelled by increased computing power, are often associated with extractive data practices spearheaded and monopolised by big tech companies. Both historical and contemporary approaches involve learning patterns from existing data to generate new content; however,…

  • Feeding the machine

    Open Access•Jo Bates, Monika Fratczak et al.•ARTICLE•Big Data & Society•2025

    This paper examines the human implications of AI's ‘data dilemma' in three different and contrasting sectors: pharmaceuticals, higher education, and the arts. The ‘data dilemma' refers to the challenge of obtaining sufficient and suitable data to effectively train AI algorithms. The research, conducted in the UK, involved interviews, focus groups, and observations with 65 practitioners employed across these three sectors. The findings reveal that…

  • What ifs

    Open Access•Hannah Ditchfield, Susan Oman et al.•ARTICLE•Convergence The International…•2024

    This paper explores how non-experts reflect on and come to understand ‘data uses’, a phrase we used to refer to data collection, analysis and sharing. In recent years, research into what people think and feel about data uses has proliferated, whereas this paper focuses on how they do their thinking and feeling. We argue that imagining – that is, building or creating a mental image of something that is not present – is an important aspect of refle…

  • Data saves lives’

    Open Access•Itzelle Medina Perea, Jo Bates et al.•ARTICLE•Big Data & Society•2024

    In this paper, we bring together the concepts of data valences and data journeys to examine how ideational and material factors work together to shape the movement of health data from the UK healthcare sector to universities for reuse in research. Specifically, we focus on the interaction of university-based researchers’ constructs about data with the material conditions of health data circulation in the UK and how these dynamics drive greater ci…

  • How people connect fairness and equity when they talk about data uses

    Open Access•Helen Kennedy, Hannah Ditchfield et al.•ARTICLE•Big Data & Society•2024

    As a mechanism for addressing data-related harms, fairness has been subjected to considerable criticism, seen as failing to acknowledge the power relationships that produce said harms, or as a ‘floating signifier’ devoid of specific meaning. In contrast to fairness, it is argued that equity does a better job of recognising data-related harms. Criticisms such as these emerge in specific cultural contexts and rarely acknowledge everyday understandi…

  • Beliefs, Values and Emotions in Practitioners’ Engagements With Learning Analytics in Higher Education

    Open Access•Itzelle Medina Perea, Jo Bates et al.•ARTICLE•AoIR Selected Papers of Internet…•2023

    Internet entrepreneurs, EdTech companies, AI enthusiasts, and other powerful stakeholders around the world have promoted the idea that big data and learning analytics (LA) have the potential to revolutionise education. LA, defined as the continuous measurement, collection, analysis and reporting of data about learners and their context (Gašević et al., 2015, p. 1), is increasingly being used to track and evaluate what students do in internet-medi…

No prominent works on this page.

  • Beliefs, Values and Emotions in Practitioners’ Engagements With Learning Analytics in Higher Education

    Open Access•Itzelle Medina Perea, Jo Bates et al.•ARTICLE•AoIR Selected Papers of Internet…•2023

    Internet entrepreneurs, EdTech companies, AI enthusiasts, and other powerful stakeholders around the world have promoted the idea that big data and learning analytics (LA) have the potential to revolutionise education. LA, defined as the continuous measurement, collection, analysis and reporting of data about learners and their context (Gašević et al., 2015, p. 1), is increasingly being used to track and evaluate what students do in internet-medi…

  • What ifs

    Open Access•Hannah Ditchfield, Susan Oman et al.•ARTICLE•Convergence The International…•2024

    This paper explores how non-experts reflect on and come to understand ‘data uses’, a phrase we used to refer to data collection, analysis and sharing. In recent years, research into what people think and feel about data uses has proliferated, whereas this paper focuses on how they do their thinking and feeling. We argue that imagining – that is, building or creating a mental image of something that is not present – is an important aspect of refle…

  • Data saves lives’

    Open Access•Itzelle Medina Perea, Jo Bates et al.•ARTICLE•Big Data & Society•2024

    In this paper, we bring together the concepts of data valences and data journeys to examine how ideational and material factors work together to shape the movement of health data from the UK healthcare sector to universities for reuse in research. Specifically, we focus on the interaction of university-based researchers’ constructs about data with the material conditions of health data circulation in the UK and how these dynamics drive greater ci…

  • How people connect fairness and equity when they talk about data uses

    Open Access•Helen Kennedy, Hannah Ditchfield et al.•ARTICLE•Big Data & Society•2024

    As a mechanism for addressing data-related harms, fairness has been subjected to considerable criticism, seen as failing to acknowledge the power relationships that produce said harms, or as a ‘floating signifier’ devoid of specific meaning. In contrast to fairness, it is argued that equity does a better job of recognising data-related harms. Criticisms such as these emerge in specific cultural contexts and rarely acknowledge everyday understandi…

  • Feeding the machine

    Open Access•Jo Bates, Monika Fratczak et al.•ARTICLE•Big Data & Society•2025

    This paper examines the human implications of AI's ‘data dilemma' in three different and contrasting sectors: pharmaceuticals, higher education, and the arts. The ‘data dilemma' refers to the challenge of obtaining sufficient and suitable data to effectively train AI algorithms. The research, conducted in the UK, involved interviews, focus groups, and observations with 65 practitioners employed across these three sectors. The findings reveal that…

  • Navigating the automation of the arts

    Open Access•Monika Fratczak, Erinma Eke Ochu et al.•ARTICLE•Convergence The International…•2026

    AI-generated art has its roots in the 1960s, driven by pioneering artists experimenting with algorithmic and rule-based systems. In contrast, over the past decade, new AI art generators, fuelled by increased computing power, are often associated with extractive data practices spearheaded and monopolised by big tech companies. Both historical and contemporary approaches involve learning patterns from existing data to generate new content; however,…

Ethics and Social Impacts of AI (3 works) · Sociology (3 works) · Computer Science (2 works) · Data Analysis and Archiving (2 works) · Data science (2 works) · Ethics in Clinical Research (2 works) · Information Systems Theories and Implementation (2 works) · Psychology (2 works) · Aesthetic Perception and Analysis (1 work) · Analytics (1 work)

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