The Achievement and Assessment Institute at the University of Kansas, on behalf of the Dynamic Learning Maps® (DLM®) Alternate Assessment Consortium, invites interested scholars to work with DLM staff in conducting psychometric modeling research on the Consortium’s assessment data. Research should make use of Bayesian networks or diagnostic classification modeling.
Fellowships for doctoral students and visiting scholar appointments for university faculty and researchers are both available.
Fellowships are available for doctoral-level students at accredited US-based institutions. Interested students should submit a proposal to conduct a study using data from the DLM assessment under the direction of a faculty sponsor from their institution.
Proposals should pertain to the field of measurement using Bayesian networks or diagnostic classification modeling and must include a completed application as well as a five- to ten-page proposal including a review of the literature highlighting the gap the proposal seeks to fill, proposed research questions, methodology, and a conclusion section that explains the significance of the work.
Projects are to be completed within four months, with a scope of work broad enough to allow for approximately 15 hours of work per week for the duration of the project. A $7,000 stipend will be provided.
For more information the Dynamic Learning Maps Consortium, additional requirements for the project, potential research topics, and the application, please review the Fellowship RFP.
Proposals are due by October 31, 2017 to email@example.com.
Visiting Scholar Appointments
Visiting scholar appointments are open to university faculty and researchers as part of a research collaboration or sabbatical. Interested individuals may request a summer or one- to two-semester appointment. Research should make use of Bayesian networks or diagnostic classification modeling.
Scope of work for visiting scholars is to be arranged between the Achievement and Assessment Institute and the researcher, and funding is available. Work could be conducted at KU or at the researcher’s own institution. In either case, an initial on-site visit will be arranged by Consortium staff and paid for by the Dynamic Learning Maps project.
For additional information about this opportunity, including suggested research topics, see our Visiting Scholar RFP.
Interested individuals should contact the Consortium at firstname.lastname@example.org by September 11, 2017.