Maryland Institute College of Art-posted 2 days ago
Part-time
Baltimore, MD
251-500 employees

To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective. Develop and maintain an engaging asynchronous online learning environment via Canvas. Collaborate and coordinate with Program leadership and faculty. Hold virtual office hours for the duration of the class. Provide core instruction to satisfy primary learning objectives of the course. Provide timely feedback on and assessment of student work. Work directly with the curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas.

  • Prepare asynchronous lesson plans for the duration of the course. This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives.
  • Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums.
  • Maintain consistent communication with students: Holding at least one hour of regular virtual office hours every week. Replying to any student communication within 24 hours.
  • Evaluate and provide feedback on student work. This includes providing timely written and/or audio/video feedback via Canvas and keeping a current gradebook.
  • Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules.
  • Perform other related duties as assigned.
  • Knowledge of Data Analysis and Visualization subject matter.
  • Courses in this degree include: Foundations of Data Analytics and Visualization Literacy Statistics and Analysis I Statistics and Analysis II Visual Storytelling I Visual Storytelling II Design Lab: The Industry Challenge Capstone I & II
  • Applicants should have experience and expertise in at least one of the above areas of knowledge.
  • Applicants should be comfortable with using technology in an online learning environment, including Canvas and video conferencing platforms.
  • Applicants should be able to demonstrate pedagogical knowledge of their subject area, with an emphasis on asynchronous instruction.
  • Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary.
  • Bachelor's degree in a related field plus proven/relevant professional experience
  • Master’s degree in a related field plus proven/relevant experience
  • Experience teaching in an online or asynchronous format.
  • Expert knowledge of data visualization tools such as R, Tableau, Python, D3
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