Description:
Assistant Faculty (AFs) are an essential part of creating the optimal learning environment. The University relies on assistant faculty to support instructional faculty by interacting with students in online classrooms that have many students. The successful AF is student focused and able to create and implement various methods of communication and supplemental instruction to support student success. This position works up to 28 hours per week and reports into one of our Lead Assistant Faculty. The work schedule is flexible, but looking for someone who can work most hours during peak days (Sundays -Wednesdays).
We are currently in search of a passionate part-time Assistant Faculty to support our Online undergraduate level Computer Information Systems class for the current Spring quarter.
NOTE: Applications must include copies of unofficial transcripts to receive full consideration.
Essential Duties & Responsibilities:
- Analyze student activity within discussions and assessments and respond appropriately based upon training and input from the lead instructor.
- Assist in managing student communications.
- Escalate unique issues to the lead instructor.
- Assist with grading and providing feedback.
- Monitor students’ engagement levels and provide recommendations on the best approach on how to increase engagement.
- Assist the lead instructor as needed or directed, providing tutoring, live sessions, or other student support.
- Assist the lead instructor as needed or directed with student outreach.
- Assist the lead instructor as needed in developing supplemental support documents, videos, job aids.
- Other duties as assigned.
Job Skills:
- Excellent written and verbal communication skills and ability to interact effectively with faculty, coaches, and learners.
- Demonstrated effective time management skills.
- Excellent relationship-building, customer service, and problem resolution skills.
- Demonstrated strong attention to detail, initiative and follow-through.
- Experience working with a diversity of learning styles.
- Comfortable using technology to facilitate learning.
Work Experience:
- Professional experience in the field of study is preferred and may be required dependent on course credentialing requirements.
- Previous teaching experience.
- Online teaching experience preferred.
- Proficiency with Python, Java or SQL Programming required
Education:
- Masters Degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems or related field.
- All degrees must be conferred and from a regionally accredited institution to be considered.