자료유형  

 학위논문

Control Number  

0017162239

International Standard Book Number  

9798382826639

Dewey Decimal Classification Number  

370

Main Entry-Personal Name  

Peralta, Lee Melvin M.

Publication, Distribution, etc. (Imprint  

[S.l.] : Michigan State University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

232 p.

General Note  

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

General Note  

Advisor: Herbel-Eisenmann, Beth.

Dissertation Note  

Thesis (Ph.D.)--Michigan State University, 2024.

Summary, Etc.  

요약In this dissertation, I engage in three analytic cuts to think about/with a relational ontological orientation to data and data literacies/science education. The analysis focuses on the following question: What possibilities for teaching and learning about data are made possible when we attune to the relational, noisy, liminal, and material dimensions of data and the connections between data and broader issues of power and ethics? This study is situated in an interdisciplinary course on data and data storytelling at a large public university in the U.S. Midwest that I and another colleague designed and taught in the 2022-2023 academic school year. I organize my findings and discussions along three chapters in this dissertation. Chapter 2 is a theoretical examination of norms and values about data suggested in certain data science education reform efforts in the U.S. and a reconsideration of new possibilities for teaching and learning about data informed by relational ontologies and philosophical theories about signal and noise. Chapter 3 is an empirical piece that shares vignettes of two students' engagements with data physicalizations as part of a data postcard activity and year-long survey-based research project. Chapter 4 examines how opportunities for critical, creative, and interdisciplinary engagements with data throughout the data storytelling course shaped how students made sense of data and processes of data generation, analysis, and communication. I co-authored the piece alongside my co-instructor and five of the students from the data storytelling course. Overall, this dissertation offers a unique approach of attuning to and elevating the concept of noise as a potentially generative concept for data literacies/science education. It raises important questions about the role of material agency, ethics and response-ability, ambiguity and improvisation, storytelling, and interdisciplinarity in connection with efforts to teach and learn about data in critical, creative, and relational ways.

Subject Added Entry-Topical Term  

Education.

Subject Added Entry-Topical Term  

Mathematics education.

Subject Added Entry-Topical Term  

Pedagogy.

Subject Added Entry-Topical Term  

Ethics.

Subject Added Entry-Topical Term  

Educational philosophy.

Index Term-Uncontrolled  

Data literacy

Index Term-Uncontrolled  

Data science

Index Term-Uncontrolled  

Data storytelling

Index Term-Uncontrolled  

Interdisciplinarity

Index Term-Uncontrolled  

Relational ontology

Index Term-Uncontrolled  

Teaching and learning

Added Entry-Corporate Name  

Michigan State University Curriculum Instruction and Teacher Education - Doctor of Philosophy

Host Item Entry  

Dissertations Abstracts International. 85-12A.

Electronic Location and Access  

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Control Number  

joongbu:657910