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  3. Mathematics, Science & Learning Technologies PhD

About Mathematics, Science, & Learning Technologies PhD

Five key areas:

  • Content Knowledge and/or Content Knowledge for Teaching: Graduates will demonstrate deep content knowledge and/or content knowledge for teaching and/or designing in their chosen field of study. Such knowledge, which builds the foundation for research and scholarship, includes the history and philosophy of their chosen field of study, and may include skills and competencies expected of pre- and in-service teachers, best practices to developing these skills and competencies, issues related to student learning, an understanding of assessment practices, knowledge of the use of technology in teaching and learning, ability to design curriculum and/or digital learning environments, and current debates in the fields of MSLT.
  • Understanding of Social Justice Issues: Graduates will demonstrate an understanding of issues, problems or questions from multiple perspectives (e.g., economic, social, political, racial, ethnic, gender, disability, sexual orientation, or language) and within the context of a classroom, school, school district, work setting, and/or community. They will demonstrate the capacity to apply their knowledge in designing and implementing a project or investigation to improve the context.
  • Becoming a Skillful and Creative Educational Researcher: Graduates will demonstrate expertise in educational research by developing skills in using sound methodologies to generate new knowledge in the fields of MSLT. They will seek opportunities to work with faculty on research projects, write conference presentations and publishable papers based on their own original research, present at conferences, and submit their work to peer-reviewed journals.
  • Understanding of Foundational Theories and Works: Graduates will demonstrate an understanding of foundational theories and works in the fields of MSLT, teaching and learning, mathematics and science teacher education, design of digital learning environments, and other related disciplines. They will demonstrate excellence in summarizing, interpreting, and applying such theories and works to their scholarly work.
  • Growing as a Professional: Graduates will demonstrate the capacity to apply their scholarly knowledge, contextual awareness, and research skills in developing and conducting studies in their chosen field. They will engage collaboratively with others both within and outside academia. And they will require competence in understanding and using ethical guidelines for the protection of human subjects in their scholarly work, especially when those research subjects are vulnerable minors.

Contact

Concentration Coordinator: Ivon Arroyo

Learning Technologies (Doctoral): Ivon Arroyo, grichard [at] umass [dot] edu (Gabriela Richard)

Mathematics Education (Master's/Licensure and Doctoral): dearnest [at] educ [dot] umass [dot] edu (Darrell Earnest), jmfranci [at] educ [dot] umass [dot] edu (John Francisco), smadden [at] educ [dot] umass [dot] edu (Sandra Madden )

Science Education (Master's/Licensure and Doctoral): jbrunner [at] umass [dot] edu (Jeanne Brunner), Martina Nieswandt, Enrique Suárez

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PhD in Math, Science & Learning Technologies
About the Program
Course of Study
Admissions

Contact

Image
Ivon Arroyo

Ivon Arroyo

Professor
Email: ivon [at] cs [dot] umass [dot] edu

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