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Research Methods Training Programs 2025

IES funds various research methods institutes. These workshops support the training of current education researchers and practitioners to expand and upgrade their methodological skills. Participants include individuals located in colleges and universities, state and local education agencies, education-focused organizations, and companies that have developed and deployed education-related products and services. The training workshops in 2025 include the following:

Comprehensive Program for Adaptive Interventions Training in Education (CATIE): This training provides support in designing, conducting, and analyzing adaptive interventions. It will also promote ongoing professional career development by offering scholars guidance and mentorship before, during, and after the in-person training institute to support research plans pertaining to the construction of adaptive interventions in educational settings.

Data Science Methods for Digital Learning Platforms: This training is an online and asynchronous 16-week program that teaches participants to use both algorithms designed specifically for digital learning platforms and how to effectively apply algorithms developed for more general purposes to digital learning platform data.

Innovation Science for Education Analytics (ISEA): This program trains education researchers how to use machine learning and natural language processing methods to extract valuable insights from education big data. This is a six-month training that includes online webinar learning, mentoring from core faculty, career advising, and concludes with applied project-based learning during a one-week in-person Hackweek.

IES Methods Training in Cost-Effectiveness and Economic Evaluation: This training provides attendees with the foundational skills to conduct cost-effectiveness and benefit-cost analyses in education in a 5-day workshop.

Summer Research Training Institute on Cluster-Randomized Trials: This training provides education researchers with an intensive 10-day training on planning, implementing, and analyzing data for cluster-randomized trials.

Meta-Analysis Training Institute (MATI): This training is a one-week intensive workshop providing training to education researchers in state-of-the-art methods to conduct large-scale research syntheses and meta-analyses.

Data Science for Education (DS4EDU) program: This training prepares education practitioners to use established and emerging data science methods with an emphasis on statistical thinking and computational approaches for educational research. This is a one-year training program that includes 12 weeks of online and asynchronous instruction, a week-long in-person workshop, and sustained mentoring and collaboration.

Bayesian Longitudinal Data Modeling in Education Sciences: This training program prepares education researchers to conduct rigorous and robust analyses of longitudinal data using Bayesian modeling. This is a one-year training program that begins with a 5-day in-person workshop, includes monthly follow-up meetings for individual projects, and a concludes with presentation to the cohort at the end of the training year.

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