Ed.D. Technology Course Electives

Students in the Ed.D. program are required to take 15 Credit Hours in Elective Courses. These courses must be at the 8000 level and geared toward one’s doctoral dissertation and/or professional pathway. Elective courses will include higher education, adult education, educational research, and instructional systems technology and related courses.

*Electives must be approved by the students’ academic advisor.

EIST 8000 Topics in Instructional Systems Technology. (3)
Variable topics in Instructional Systems Technology. As a doctoral course, emphasis will be placed on the theories that ground Instructional Systems Technology and how the theories inform research and practice in the field. Differentiated activities and assignments will be provided for doctoral students. May be repeated for credit with change of topic and permission of department. (On demand)

EIST 8100 Foundations of Instructional Systems Technology. (3)
Contemporary issues and historical development of instructional systems technology; an overview of learning theory, instructional systems analysis and design, instructional design models, technology innovations and factors affecting the use of technology for learning. As a doctoral course, emphasis will be placed on the theories that ground Instructional Systems Technology and how the theories inform research and practice in the field. Differentiated activities and assignments will be provided for doctoral students. (On demand)

EIST 8102 Research in Instructional Systems Technology. (3)
Current issues and trends in instructional systems technology research including instructional systems design, requirements for instruction, task and needs analysis, learning situations and instructional models, learner characteristics, hardware and software innovations, assessing instructional outcomes, and factors affecting utilization. Students apply methodological approaches to solve problems and enhance practice. As a doctoral course, emphasis will be placed on the theories that ground Instructional Systems Technology and how the theories inform research and practice in the field. Differentiated activities and assignments will be provided for doctoral students. (On demand)

EIST 8110 Instructional Design (3)
Instructional analysis, design and evaluation principles and practices; gaining practical experience applying theoretical understandings of instructional design principles and processes such as goal and task analysis, learner and context analysis, instructional strategies, selection and development of instructional materials, and formative and summative evaluation. This course is cross-listed with Master’s section EIST 6110. Differentiated assignment on research in instructional multimedia development will be provided for doctoral students. (Spring) Delivery Method (Online)

EIST 8120 Current Trends in Instructional Systems Technology. (3)
The examination of current and future trends in Instructional Systems Technology. Students also examine the most current literature in the field and instructional technology professional organization trends and recommendations. As a doctoral course, emphasis will be placed on the theories that ground Instructional Systems Technology and how the theories inform research and practice in the field. Differentiated activities and assignments will be provided for doctoral students. (On demand)

EIST 8121. Advanced Instructional Design. (3) Advanced instructional design techniques; systems development; task analysis; sequencing and delivery systems. (On demand)

EIST 8130 Instructional Multimedia Development (3)
Planning, developing, and evaluating instructional multimedia products based on learning principles and research-based best practices. This course is cross-listed with Master’s section EIST 6130. Differentiated assignment on research in instructional multimedia development will be provided for doctoral students. (Fall) Delivery Method (Online)

EIST 8135 Learning Media, Resources and Technology (3)
Selection, use, and evaluation of technological innovations in instructional media. Students learn to make professionally sound decisions in selecting appropriate processes and resources to provide optimal conditions for learning based on principles, theories, and effective practices. Differentiated assignments will be provided for doctoral students. This course is cross-listed with Master’s section EIST 6135. Differentiated assignment on research in learning media, resources and technology will be provided for doctoral students. (Spring) Delivery Method (Online)

EIST 8150. Design, Development, and Evaluation of Online Learning Systems. (3)
Fundamentals of creating effective online teaching and learning systems will be covered. Topics will include research-based best practices in the design, development, and evaluation of online instruction, technological applications available to support online teaching and learning, characteristics of virtual students, instructional methodologies for online teaching and learning, and future directions of online teaching and learning research. Differentiated assignments will be provided for doctoral students. (On demand)

EIST 8160. Designing Learning Systems with Simulation and Game Technology. (3)
The focus of this course will be on educational game and simulation technology learning systems. Students will examine principles of game and simulation design, and current research addressing the integration and use of games and simulations in education settings. Emphasis will be placed on the use of instructional design principles to identify quality characteristics of digital games and simulations, and direct the design and development of these technologies for integration in to instructional content. Differentiated assignments will be provided for doctoral students. (On demand)

EIST 8170 Human Performance Technology (3)
This course provides an introduction to the field of human performance technology. It examines basic concepts and principles of human performance technology, human performance system models, and various approaches to solving human performance problems. In depth analysis of performance improvement interventions and their implementation within organizations is emphasized. This course is cross-listed with Master’s section EIST 6170. Differentiated assignment on research in Human Performance Technology will be provided for doctoral students. (Fall), Delivery Method (Online)

EIST 8800. Individual Study in Instructional Systems Technology. (1-6)
Prerequisite: Permission of advisor. Independent study under the supervision of an appropriate faculty member. May be repeated for credit. (On demand)