Position Overview:
The position oversees the design, development and implementation of one or more courses that comprise new stackable credentials leading to bachelor degrees in engineering with computing/AI and computer science. Responsibilities include: contributing to the design and development of pedagogy and learning materials for the new programs, including online digital content and flipped classroom experiences, problem sets, exams, and co-ops; and designing and developing programming for MIT’s Faculty Academy to prepare teachers to deliver this content. We are looking for candidates who share our passion for changing education in the age of AI and preparing the future workforce. This position will involve working closely with MIT staff, researchers and faculty. We are looking for several Teaching Fellows in a variety of disciplines, including engineering, computing, math, social sciences, sciences, business, and humanities.
This is a 1-year term appointment. An extension is possible based on performance and existence of funding.
Principal Duties and Responsibilities (Essential Functions):
Keep abreast of advances in the learning sciences and digital and on campus learning tools, and work with supervisor and instructors to apply best practices from the learning sciences into teaching.
Develop and/or deploy innovative on campus and online courses and learning tools that enhance the learning of students in online, face-to-face, and blended learning.
Reach out and collaborate with instructors in building learning content as part of an innovative new curriculum.
Design blended learning using Learning Management Systems (e.g., Open edX and Canvas).
Evaluate the effectiveness of the courses and pedagogical approaches by working with other instructors and following up on learner feedback.
Assist in developing, maintaining, and updating the education strategy, and particularly the digital learning strategy.
Help the team to identify promising areas of interest in education research and explore opportunities in the context of educational innovations and practices for implementation.
Actively participate in MIT’s education community (e.g. staff of the Office of Open Learning, Digital Learning Lab Fellows, other educators) to incorporate and advance education research.
Adapt learning content and pedagogy to reflect the capabilities of AI and help learners use AI in real-world settings.
This position will be required to work on campus to support the building of courses and work collaboratively with the course team and faculty leads.
Supervision Received:
This position reports to the Faculty Director for NEI
Supervision Exercised:
None
Qualifications & Skills:
MINIMUM REQUIRED EDUCATION AND EXPERIENCE:
PhD in engineering, computing, math, social sciences, science, business, or humanities with proven ability and flexibility to adapt to a rapidly changing platform/environment; and an ability to deliver high quality results while managing multiple priorities. Minimum one year of relevant experience in online or in-person higher education teaching. The successful candidate will possess excellent organizational and management skills; track-record of working both independently and collaboratively; deadline-oriented attitude; attention to detail; excellent communication skills; and the ability to build strong working relationships with teammates, faculty, and staff.
PREFERRED EDUCATION AND EXPERIENCE:
Interest and experience in educational technology, digital teaching and learning in higher education, production of educational content, academic assessment methodologies, and teaching and learning with Artificial Intelligence tools.
Application material should include a cover letter speaking to qualifications; a teaching statement specifying teaching beliefs and practices; a CV listing educational background, publications, talks, and other applicable experiences. Applications will be considered until the positions are filled.
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.