University of Maryland Global Campus
Collegiate Faculty, Teaching and Learning - Artificial Intelligence
University of Maryland Global Campus, Hyattsville, Maryland, United States, 20783
Collegiate Faculty, Teaching And Learning - Artificial Intelligence
The Collegiate Faculty, Teaching & Learning (TL) position fosters excellence in instruction, pedagogy, and the Scholarship of Teaching and Learning (SoTL). Reporting to the Associate Dean, this faculty member serves as a thought leader and mentor in evidence-based teaching practices, directly supporting UMGC's mission to deliver high-quality, student-centered learning experiences. The TL faculty has a deep understanding of the entirety of the student experience
inclusive of the associated support and co-curricular services provided by teams outside the school and outside GALE
and leverages that knowledge to collaborate in ensuring a cohesive, supported, and consistent learner experience. By teaching 18 credits annually and leading peer evaluations, the TL Faculty ensures instructional quality and supports continuous improvement across the academic portfolio. Success in this role is measured by the ability to elevate instructional practices, disseminate research-informed strategies, and mentor peers to achieve excellence in teaching and student outcomes. Key Duties and Responsibilities: Teach 18 credits per academic year in area(s) of disciplinary expertise, demonstrating instructional effectiveness and engagement with diverse learners in online environments. Serve as a faculty lead for the peer evaluation process, establishing expectations, coaching colleagues, and synthesizing findings to improve instructional performance. Conduct and disseminate Scholarship of Teaching and Learning (SoTL) projects that align with strategic academic goals and contribute to pedagogical innovation across the school. Collaborate with the Integrative Learning Design (ILD) team to evaluate instructional strategies and integrate learning science into course content and teaching practices. Perform product reviews of Corporate Learning Solutions (CLS) offerings, ensuring alignment with academic rigor and workforce relevance. Collaborate with the Faculty Affairs and Scheduling Team (FAST) to develop and deliver faculty development resources and workshops that support instructional improvement and the adoption of emerging teaching technologies. Partner with assessment faculty and curriculum teams to use learning analytics for continuous improvement in student learning and course success. Maintain active engagement in discipline-related professional associations, conferences, and communities of practice to ensure up-to-date pedagogical expertise. Contribute to a culture of teaching excellence by mentoring adjunct faculty and leading initiatives related to instructional quality and inclusive pedagogy. Perform other duties as assigned by the Associate Dean, including participation in school-wide instructional initiatives and teaching-related working groups. Competencies: Disciplinary knowledge in the portfolio area Teaching excellence and innovation Adult and online learning expertise Peer mentorship and coaching Scholarship of Teaching and Learning Data-informed instructional improvement Communication and collaboration Skills: Instructional design literacy Facilitation of faculty peer evaluations Academic writing and research dissemination Online course engagement techniques Data analysis for teaching improvement Workshop and training development Key Collaborators: Associate Dean:
To align faculty development and instructional quality goals with broader portfolio strategies and student success objectives. Fellow Teaching & Learning Collegiate Faculty:
To collaborate on cross-functional teaching innovations, instructional reviews, and peer evaluations. Assessment & Evaluation Collegiate Faculty:
To integrate learning analytics into teaching strategies and ensure alignment with program-level learning outcomes. Course Development & Administration Collegiate Faculty:
To identify course-level improvements within portfolio clusters to enhance the teaching and learning experience. Faculty Affairs and Scheduling Team (FAST):
To support faculty onboarding, evaluation, and development in alignment with university standards. Integrative Learning Design (ILD):
To embed evidence-based practices into course design and support continuous improvement of teaching materials. Student Affairs and Advising Teams:
To promote cohesive learner experiences and support students with effective teaching strategies and communication. Minimum Education & Experience Requirements: Education:
Terminal or Doctorate degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Computational Neuroscience, Robotics, or a relevant academic or industry-related field from an accredited institution is required Experience:
Demonstrated ability to get things done. Minimum of 8 years of academic, professional, or teaching experience, including at least 3 years of teaching. Certifications:
None required Location:
The position is hybrid, although travel to Adelphi, MD is required on an occasional basis. Preferred Education & Experience Requirements: Education:
Master's degree in Cybersecurity or a relevant academic or industry-related field from an accredited institution is preferred Experience:
Experience with the Scholarship of Teaching and Learning, peer evaluation leadership, adjunct faculty support, and teaching in asynchronous online environments. Discipline-related work experience in non-academic environments is desired. Certifications:
Relevant industry certification(s) if applicable. Work environment and physical demands:
Work is typically performed in an online or hybrid academic environment. The role requires engagement in faculty collaboration, instructional development, and research activities. All submissions should include a cover letter and resume.
The Collegiate Faculty, Teaching & Learning (TL) position fosters excellence in instruction, pedagogy, and the Scholarship of Teaching and Learning (SoTL). Reporting to the Associate Dean, this faculty member serves as a thought leader and mentor in evidence-based teaching practices, directly supporting UMGC's mission to deliver high-quality, student-centered learning experiences. The TL faculty has a deep understanding of the entirety of the student experience
inclusive of the associated support and co-curricular services provided by teams outside the school and outside GALE
and leverages that knowledge to collaborate in ensuring a cohesive, supported, and consistent learner experience. By teaching 18 credits annually and leading peer evaluations, the TL Faculty ensures instructional quality and supports continuous improvement across the academic portfolio. Success in this role is measured by the ability to elevate instructional practices, disseminate research-informed strategies, and mentor peers to achieve excellence in teaching and student outcomes. Key Duties and Responsibilities: Teach 18 credits per academic year in area(s) of disciplinary expertise, demonstrating instructional effectiveness and engagement with diverse learners in online environments. Serve as a faculty lead for the peer evaluation process, establishing expectations, coaching colleagues, and synthesizing findings to improve instructional performance. Conduct and disseminate Scholarship of Teaching and Learning (SoTL) projects that align with strategic academic goals and contribute to pedagogical innovation across the school. Collaborate with the Integrative Learning Design (ILD) team to evaluate instructional strategies and integrate learning science into course content and teaching practices. Perform product reviews of Corporate Learning Solutions (CLS) offerings, ensuring alignment with academic rigor and workforce relevance. Collaborate with the Faculty Affairs and Scheduling Team (FAST) to develop and deliver faculty development resources and workshops that support instructional improvement and the adoption of emerging teaching technologies. Partner with assessment faculty and curriculum teams to use learning analytics for continuous improvement in student learning and course success. Maintain active engagement in discipline-related professional associations, conferences, and communities of practice to ensure up-to-date pedagogical expertise. Contribute to a culture of teaching excellence by mentoring adjunct faculty and leading initiatives related to instructional quality and inclusive pedagogy. Perform other duties as assigned by the Associate Dean, including participation in school-wide instructional initiatives and teaching-related working groups. Competencies: Disciplinary knowledge in the portfolio area Teaching excellence and innovation Adult and online learning expertise Peer mentorship and coaching Scholarship of Teaching and Learning Data-informed instructional improvement Communication and collaboration Skills: Instructional design literacy Facilitation of faculty peer evaluations Academic writing and research dissemination Online course engagement techniques Data analysis for teaching improvement Workshop and training development Key Collaborators: Associate Dean:
To align faculty development and instructional quality goals with broader portfolio strategies and student success objectives. Fellow Teaching & Learning Collegiate Faculty:
To collaborate on cross-functional teaching innovations, instructional reviews, and peer evaluations. Assessment & Evaluation Collegiate Faculty:
To integrate learning analytics into teaching strategies and ensure alignment with program-level learning outcomes. Course Development & Administration Collegiate Faculty:
To identify course-level improvements within portfolio clusters to enhance the teaching and learning experience. Faculty Affairs and Scheduling Team (FAST):
To support faculty onboarding, evaluation, and development in alignment with university standards. Integrative Learning Design (ILD):
To embed evidence-based practices into course design and support continuous improvement of teaching materials. Student Affairs and Advising Teams:
To promote cohesive learner experiences and support students with effective teaching strategies and communication. Minimum Education & Experience Requirements: Education:
Terminal or Doctorate degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Computational Neuroscience, Robotics, or a relevant academic or industry-related field from an accredited institution is required Experience:
Demonstrated ability to get things done. Minimum of 8 years of academic, professional, or teaching experience, including at least 3 years of teaching. Certifications:
None required Location:
The position is hybrid, although travel to Adelphi, MD is required on an occasional basis. Preferred Education & Experience Requirements: Education:
Master's degree in Cybersecurity or a relevant academic or industry-related field from an accredited institution is preferred Experience:
Experience with the Scholarship of Teaching and Learning, peer evaluation leadership, adjunct faculty support, and teaching in asynchronous online environments. Discipline-related work experience in non-academic environments is desired. Certifications:
Relevant industry certification(s) if applicable. Work environment and physical demands:
Work is typically performed in an online or hybrid academic environment. The role requires engagement in faculty collaboration, instructional development, and research activities. All submissions should include a cover letter and resume.