Position Summary
Undergraduate Education is seeking a Director for Data Literacy to revise deliver and oversee the 1credit Data Literacy course required for all incoming firstyear students. Responsibilities include teaching sections of the course developing and updating course content and collaborating with coinstructors and graduate students. This is a fulltime administrative position with an adjunct faculty appointment in an appropriate disciplinary department. The Data Literacy course is part of the general education curriculum IDEAs in Action. The course is taught in a hybrid model with students engaging in asynchronous lectures and inperson discussion/lab sessions. The course objectives are designed to support students who need more foundational knowledge while also challenging those with a solid background in working with data. Using current events and popular culture the course will help students become informed consumers of data equipping them to detect false claims evaluate valid arguments and engage in thoughtful discussions about the ethical and practical issues surrounding data in our daily lives. The Director will oversee all aspects of the Data Literacy course in consultation with the Associate Dean of the Office of Undergraduate Curricula. Key Responsibilities: Collaborate with college departments to identify and coordinate the selection and appointments of Graduate Teaching Assistants (TAs) who will each teach 3 sections of the course per semester. Coordinate the selection of Undergraduate Learning Assistants (ULAs) with a total of 50 semester appointments per academic year. Partner with campus organizations (e.g. the Center for Faculty Excellence) to provide training and oversight for TAs ULAs and faculty instructors. Supervise the TAs. Coordinate the selection of 2 additional faculty members to assist in teaching 3 sections each semester. Revise the course to ensure it aligns with updated learning objectives and incorporates current events. Collaborating with the Data Literacy faculty committee to further develop the course as needed. Work with the Office of Institutional Research and Assessment as well as others in the Undergraduate Education division to evaluate whether the Data Literacy course is meeting its outcomes. Collaborate with staff on budget scheduling teaching assistant appointments programming and other logistical matters. Update the Canvas site and video modules with course materials including regular readings and available campus and external resources. Provide regular updates on progress to the Associate Dean for Undergraduate Curricula. The course learning outcomes include: Demonstrating an understanding of the essentials of computer architecture and data security. Recognizing how data is collected manipulated and accessed. Interpreting analyzed data to make meaningful conclusions. Identifying the ethical challenges of working with data and their impact on society. This position will be responsible for serving as the instructor of record for 6 sections of 45 students per Academic Year 6 credit hours) and possibly teach an additional 3 credit hour course associated with their academic department which will be carried out through a secondary faculty appointment.
Required Qualifications Competencies And Experience
Ph.D. required in relevant field such as Data Science Information and Library Science Statistics or Data Analytics Experience with course/curriculum design at the collegiate level Experience in college teaching Strong written and oral communication skills Administrative experience chairing committees and implementing programming
Preferred Qualifications Competencies And Experience
Experience teaching a data literacy course Experience in online course development Ability to incorporate technology in the classroom Experience mentoring and teaching pedagogical skills to graduate students Demonstrated ability to coordinate multiple sections of courses Experience creating and reporting outcome measures We are interested in faculty with experience in data science information and library science statistics data analytics and/or related field.
Required Experience:
Staff IC