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Teaching Systems Lab (TSL) in collaboration with The Education Arcade is launching a 5-year research project to make assessment more fun for all involved by designing, developing, & implementing game-based assessment systems, beginning with 9th grade math. The goal of the project is to create a game-based math assessment system that will be used as frequent and continuous formative assessments throughout the school year. This project brings together groups that have demonstrated expertise in learning game design and rigorous assessment design, to create an impactful tool for teachers. We expect the process of designing, researching, and implementing the game-based assessments to be equally rigorous and fun.


The role includes creating a design and development process that incorporates the best practices of evidence-centered design, learning analytics, and educational data mining. In this work, the researcher will have the opportunity to analyze learning data including log files, assessment data, and observations. We will look to the learning analytics expert for leadership in identifying what techniques to apply to problems that don’t have known solutions, and will expect the ability to apply the techniques in new ways and think outside the box. 


  • Lead the effort for analysis and assessment machinery building by planning and executing analysis and research studies
  • Rapidly process data using various analytics techniques to inform design decisions
  • Design and conduct studies using various methods, to research the effectiveness of the assessment tool as a whole, individual design elements of the tool, and its implementation in classrooms
  • Publish journal articles and present at national conferences to share our work to the broader education research community


  • PhD degree in a relevant academic subject area, such as learning analytics, computer science, educational data mining, artificial intelligence, measurement and statistics, learning sciences, psychology or related area
  • Research experience in educational data mining, learning analytics, machine learning, or related areas
  • Strong analytical and statistical skills, ability and willingness to learn new techniques rapidly
  • Experience in data management and analytics is essential (e.g. R, Python, JavaScript)
  • Some familiarity with computer programming and visualization tools are a plus
  • Strong academic writing and presentation skills
  • Previous experience of working with students and teachers, in both formal and informal learning settings is preferred 

One year temporary position renewable on an annual basis.

Review of applications will begin on February 1, 2017; however, the position will remain open until filled. For additional information about the position, please contact YJ Kim at yjk7@mit.edu

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.