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Assistant Professor - Instructional Design & Technology (IDT)


San Jose State University

San Jose State University


Application Deadline: 25. November, 2024.


The School of Information at San José State University is pleased to announce a search for an Assistant professor in Instructional Design & Technology (IDT) beginning in August 2025 for our brand new, 100% online master’s of instructional design & technology program. This faculty member will also serve as the program coordinator and work closely with the Director to launch this new program. Faculty will join SJSU, recently ranked #4 Public School in the Country, a university known for its transformative impact on students’ lives.

Here, they will have the opportunity to help shape this new program. The faculty member will have a hands-on role in developing and growing the program, and will be active in all aspects of teaching, research, and service.


San José State University’s School of Information (SJSU - School of Information - Information Science School) prepares individuals for careers as information professionals, offering a variety of bachelor's and master's degrees programs, doctoral partnership programs, certification and credentials programs.

Graduates work in diverse areas of the information profession, such as user experience design, digital asset management, information architecture, electronic records management, information governance, digital preservation, and librarianship. Our school has awarded graduate degrees to information professionals for more than 55 years. Based in Silicon Valley, our vibrant community continues to inspire innovation in the library and information science field worldwide.


The Master of Science in Instructional Design & Technology will be a 100% online and asynchronous degree program that will prepare students to work in teaching, training, organizational management, and human performance improvement environments. The program prepares students to apply an information, data-centered, and systematic process that identifies learning/organizational outcomes, learning/performance objectives, and ideal performance as part of a front-end analysis to designing and developing the curriculum/organizational processes needed to accomplish outcomes. Students learn to use a wide array of instructional/organizational/data strategies and technologies for training, teaching and learning, assessment and evaluation, and the design and development of informatics/data analytic systems to improve student/individual/organizational performance. Students are also taught how to assess and evaluate the quality of the entire process using advanced analytics as part of a continuously improving performance loop using both formative and summative evaluation. Courses include Instructional Systems and Learning Technologies, Systematic Design of Instruction, Design Thinking, Theories of Teaching, Learning, and Human Cognition, Instructional Design and Development, Learning Analytics and Data-Driven Evaluation and Assessment, Artificial Intelligence, and Digital Teaching and Learning Environments.


 


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