Visiting Assistant Professor

Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. Organizes, prepares, and regularly revises and updates all course materials. Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. Models effective oral and written communications that engage the students, provide clarity, and improve student learning. Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. Ensures that the content and level of material included on exams correspond to the course terminal objectives. Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students. Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes. Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work. Completes other duties as assigned. Requirements A master’s degree in mathematics or related field with 9 or more graduate hours in statistics or a master's degree in electrical engineering. Applicants must upload unofficial graduate-level transcripts with their application. Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation. Additional requirements driven by state licensing or accreditation considerations may apply. Faculty must have requisite subject matter expertise and outstanding communication skills. Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices. Core Competencies Demonstrates expertise in mathematics or electrical engineering, with a strong focus on instructional technology and responsible AI practices. Engages students through effective communication and the integration of digital literacy in course delivery. Highest-signal resume keywords Master's Degree In Mathematics Graduate Hours In Statistics Master's Degree In Electrical Engineering Instructional Technology Responsible AI Practices ATS Optimization Keywords Hard Skills Course Development Syllabus Preparation Exam Preparation Grading Consistency Feedback Provision Soft Skills Effective Communication Student Engagement Clarity In Instruction Industry Keywords Accreditation Digital Literacy Professional Development Subject Matter Expertise Tools & Technologies Online Course Software Websites E-mail Online Discussions #J-18808-Ljbffr