Associate Director for Assessment and Evaluation
MIT - Cambridge, MA

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ASSOCIATE DIRECTOR FOR ASSESSMENT AND EVALUATION, Teaching and Learning Laboratory (TLL), to design, manage, and implement assessment of new and ongoing educational initiatives at the Institute. Will work with TLL's director and staff and with MIT faculty, administration, and students to determine strategy and priorities for assessment and translate that strategy into short- and long-term action plans. Other responsibilities include designing and implementing specific studies of student learning, innovative pedagogy, educational technology, etc.; advising faculty on how assessment can be used to strengthen learning, in-class instruction, and cocurricular activities; providing assessment expertise as required by outside agencies or Institute committees; providing expertise to members of the MIT community in support of their own assessment efforts; collaborating with TLL's assessment consultants; representing MIT at conferences and meetings on research and assessment in STEM higher education; monitoring developments in STEM higher education research; and disseminating research findings through academic venues.

REQUIREMENTS: a Ph.D. or Ed.D. in an appropriate field such as engineering education, science education, educational research, or assessment and evaluation; five years' experience in the field of assessment in academia or similar organizational setting; in-depth knowledge of the range of quantitative and qualitative educational research methodologies, including development of surveys and interview protocols; demonstrated knowledge of the issues, best practices, current research, and innovations in assessment in higher education, specifically in teaching and learning in science and engineering; ability to work collaboratively and effectively within a research university; excellent writing and presentation skills; a talent for listening carefully and communicating tactfully; and ability to work in a high-pressure environment with minimal supervision. A strong background in psychometrics is an advantage. MIT-00007835-Q


MIT - 3 years ago - save job
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