Educational Technology M.A. Adjunct Faculty

University of San Francisco
United States

Job Title:

Educational Technology M.A. Adjunct Faculty

Job Summary:

The University of San Francisco (USF) is a private, urban University with a global perspective that educates leaders who will fashion a more humane and just world. The core mission of the University is to promote learning in the Jesuit tradition. The University offers undergraduate, graduate, and professional students the knowledge and skills needed to succeed and the values and sensitivity necessary to serve others. The University draws from the cultural, intellectual, and economic resources of the San Francisco Bay Area and its location on the Pacific Rim to enrich and strengthen its educational programs.

The Educational Technology Master’s Program is designed for educators who are excited about the potential technology offers for increasing student engagement and learning. Our students want to extend their skills for implementing relevant technology-enhanced activities in their own learning environments. The Educational Technology Master’s Program in the Learning & Instruction Department in USF’s School of Education invites applications for an adjunct faculty position.

Full Job Description:

The Educational Technology Master’s Program is seeking an adjunct instructor, for the Summer 2024 semester, to teach the course listed below. Below is a description of the course that needs staffing:

607: Learning Designs. To say that we are teaching and learning in an age of change is an understatement. Ready or not, our classrooms are swiftly becoming technology-rich spaces. We have the opportunity—and the professional obligation—to consider how we can best leverage the tools at our fingertips to promote meaningful learning. This class challenges students to leverage technology to craft innovative curriculum that increases engagement, sparks meaningful collaboration, promotes authentic assessment, and supports differentiated instruction in one-to-one, flipped, blended, and online classes. The course fo lows the five-step process of Design Thinking honed by Stanford’s d.school and used by many leading businesses. We will engage in the first three phases of the Design Thinking process, focusing on empathy work, definition of the problem, and ideation of possible solutions.

This course is centered around a few essential questions:

How might we leverage technology to promote meaningful learning?

How might we adapt best practices in curriculum design for different models of learning and instruction, including one-to-one, Flipped, Blended, and Online?

How might we refine our own instructional practices to meet the challenges and opportunities created by different models of learning and instruction?

In exploring these questions you'll learn about the fundamentals of curriculum design, design thinking, and backward design, focusing on the shift that is necessary in planning learning experiences for contemporary classrooms. The course is ideal for those in education and in positions of training, who want to revitalize existing curriculum or craft new curriculum and benefit from structured support in that process. The core project and supplementary assignments in the class will require you to have a clear instructional audience.


This course is offered in two sections:

01 which is the synchronous hybrid section (meetings on Saturdays 6/1, 6/8, and 6/15; and asynchronous meetings on 5/25 and 6/22), and

50 which is the asynchronous, fully online section. Please make sure to enroll in the correct section for your needs.

Minimum Qualifications

Qualifications include an earned doctorate or Master’s degree in Educational Technology or a related field, and relevant expertise.

Instructions for Applying

Please submit (a) a cover letter stating your qualifications, (b) a resume or curriculum vitae, and (c) three recommendation letters concerning your teaching qualifications for this application. If the department is interested in your application, you will be contacted.


Part time

Pay Rate:


Salary Range :

$2,185.00 per unit

This job is closed.