Mar 09, 2019

Data Science Research Associate

  • Carnegie Mellon University
  • 5000 Forbes Avenue,Pittsburgh, PA, USA
Full time Education Faculty Development Research Statistics

Job Description

Carnegie Mellon University
Eberly Center for Teaching Excellence & Educational Innovation

The Eberly Center seeks a Data Science Research Associate specializing in learning analytics and the formative assessment of course- and program-level learning outcomes. This position will support the Eberly Center’s programs, services, educational research projects, and technology-enhanced learning initiatives that collect and analyze learning analytics and other data on student learning outcomes to inform the iterative improvement of CMU courses and academic programs.

The Data Science Research Associate will collaborate with Eberly colleagues on a diverse portfolio of action-research projects representing a variety of disciplines and teaching contexts within CMU courses, academic programs, and initiatives. Specifically, this position will contribute to:

1. designing exemplary and innovative study designs to formatively assess student learning outcomes in CMU courses and program, including, but not limited to, the use of technology-enhanced learning strategies,

2. developing appropriate metrics for assessing student learning across diverse disciplines and teaching contexts,

3. collecting, analyzing, and interpreting learning analytics data as well as direct and indirect measures of student learning, attitudes, and engagement,

4. reporting on learning analytics and assessment data to help formatively and iteratively improve academic programs, curricula, teaching and learning at CMU, and

5. staying abreast of peer-reviewed literature and disseminating best practices, research, and emerging developments regarding data analytics and formative assessment, including partnering with faculty and Eberly Center colleagues to publish assessment work.

Job requirements:
● Education: Ph.D. completed in educational psychology, statistics, data science, learning analytics, or a similar discipline

● Experience: 2 or more years of experience designing and implement assessments of student learning in academic programs, including the use of learning analytics data, direct measures of student learning, survey instruments, and focus groups;

● Skills:
○ facility with quantitative and qualitative research methods and analysis tools, including current approaches to collecting and analyzing learning analytics data;
○ conversant with the literature on assessment and educational research (e.g., learning science research, teaching as research, SoTL);
○ excellence in the ability to consult across disciplines and teaching contexts and work collaboratively and effectively in settings of social and intellectual diversity;
○ high comfort level with education technologies commonly used in higher education;
○ strong oral and written communication skills, including maintaining confidentiality; and sensitivity to the teaching and learning needs at a research university.

The Eberly Center’s Mission is to distill the research on learning for faculty and graduate students and collaborate with them to design and implement meaningful educational experiences. We believe that combining the science and art of teaching empowers our colleagues to create the conditions for students to learn and, through this learning, transform their world. We are a highly motivated, creative, productive, and collaborative group and look forward to welcoming new staff to our team! For more information on the Eberly Center, visit http://www.cmu.edu/teaching/

To apply: Visit http://www.cmu.edu/jobs/ and search for Job#2011800. Carnegie Mellon University is an equal opportunity affirmative action employer.

Employer

Carnegie Mellon University

Department

Eberly Center for Teaching Excellence and Educational Innovation

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