The Dartmouth Center for the Advancement of Learning (DCAL) seeks enthusiastic candidates for a fellow focused on educational assessment and evaluation. The two-year position is funded as part of the DIFUSE project (NSF-1917002) with a possible extension to a third year if funds become available. The project goal is to expose students to the ideas and techniques of data science early in their collegiate careers, with an increase of interest and training as desired outcomes (see difuse.dartmouth.edu for more information). DIFUSE brings together teams of undergraduates, graduate students, learning designers, and faculty to design modules that bring data science techniques into STEM courses. After having built several modules, DIFUSE will host a workshop in Summer 2022 for educators from other institutions to learn both the methodology and outcomes of the project’s work. The PIs on the grant span several disciplines – engineering, mathematics, and computer science – and one of the PIs serves as the Director of DCAL.
The fellow’s primary responsibilities include
Designing and implementing evaluation instruments for DIFUSE modules building on instruments created earlier in the project
Collecting and analyzing qualitative data measuring the effectiveness of DIFUSE interventions
Analyzing and interpreting the evaluation data
Collaborating with the DIFUSE team to publish and disseminate results
Coordinating and evaluating the Summer 2022 workshop
As a teaching and learning center, DCAL’s work focuses on the professional development of educators at Dartmouth through consultation, programming, and learning innovation initiatives (see dcal.dartmouth.edu). The fellow will integrate with the DCAL team, gaining further exposure and experience. Dartmouth hosts and supports the educational community through professional development and career placement. One of Dartmouth’s primary liaisons to the community of fellows is an Associate Director in DCAL and will serve as a direct resource.
The successful candidate has a MA or PhD (the latter is preferred) in educational assessment or a related field or an equivalent combination of education and experience. They will have experience with both qualitative and quantitative evaluation methods in the evaluation of educational interventions, preferably in STEM fields. The candidate possesses strong written and verbal skills and communicates effectively with faculty, staff, and students. They easily work independently as well as collaboratively with a team.
This position may be either in-person or remote work. A remote fellow would visit campus on several occasions, including the Summer 2022 workshop.
Candidates should send a cover letter, names of 3 references, a CV, and a brief (1-2 page) description of relevant experience to email@example.com. Evaluation of applications will begin immediately and continue until the position is filled.