Program Overview

PhD in Instructional Psychology and Technology

Overview

Our Savior, Jesus Christ, was the Master Teacher who commanded his followers to "teach diligently" (see Deuteronomy 6:7), both things spiritual as well as secular (see D&C 88:78-80). In the doctoral program of the Instructional Psychology and Technology department, we prepare expert teaching and learning professionals with the skills to meet this divine charge of education by helping them:

Understand how, and when to apply theory and psychology in strategic and evidence-backed ways to improve learning;
Utilize all methods of knowing, reasoning, and research to study the science of learning;
Support strategic decision-making through rigorous evaluation and assessment;
Develop leadership and collaboration skills in order to support and mentor other teachers, learners, and instructional designers; and
Disseminate widely knowledge about effective learning and teaching so that "all may be edified of all" (see D&C 88:122).

Program Timeline

Core Credits (32 Credits)

IP&T 510 - Scholarly Writing and Argumentation
IP&T 520 - Foundations of Instructional Technology
IP&T 560 - Instructional Product Development
IP&T 564 - Instructional Design
IP&T 620 - Principles of Learning
IP&T 629 - (IP&T - CPSE) Introduction to Research
IP&T 651 - (IP&T - CPSE) Statistics 1: Foundations
IP&T 652 - Assessing Learning Outcomes
IP&T 653 - (IP&T - CPSE) Qualitative Research 1 (Intro to Qualitative Research)
IP&T 661 - Introduction to Evaluation in Education
IP&T 690R - Seminar

Core Skills Electives (minimum of 9.0 credits)

IP&T 515 – Special Topics in Instructional Technology
IP&T 531 – Introduction to Open Education
IP&T 620 - Principles of Learning
IP&T 655 - Digital Interface Design
IP&T 660 - Intermediate eLearning Development
IP&T 665 – Instructional Visual/Video Production
IP&T 682 – Project & Instructional Resource Management
IP&T 692 – Advanced Topics
EIME 720 – Design Based Research in Education
IP&T 730 – Hierarchical Linear Modeling
IP&T 745 – Statistics 2: Multiple Regression
IP&T 747 – Structural Equation Modeling
IP&T 750 – Literature Review & Synthesis
IP&T 752 – Measurement Theory
IP&T 753 – Qualitative Research 2
IP&T 760 – Advanced E-Learning Development
IP&T 761 – Advanced Evaluation
IP&T 789 – Meta-Analysis

Internships (complete 2 for a total of 6.0 credits)

IP&T 599R - Academic Internship

PhD Projects (complete two for a total of 6.0 credits)

IP&T 657R - Measurement (take IP&T 652 before this project)
IP&T 667R - Evaluation (take IP&T 661 or 761 before this project)
IP&T 677R - Research (take IP&T 629 before this project)
IP&T 687 - Development (take IP&T 564 before this project)

Specialization courses (minimum of 19.0 credits)

IP&T 515R - Special Topics in IP&T
IP&T 531 - Introduction to Open Education
IP&T 538 - Teaching in Online and Blended Learning Environment
IP&T 631 - Research in Open Education
IP&T 638 - Research in Online and Blended Learning Environment
IP&T 653 - Qualitative Research I
IP&T 655 - Digital Interface Design
IP&T 660 - Intermediate eLearning Development
IP&T 661 - Introduction to Evaluation in Education
IP&T 664 - Advanced Instructional Design
IP&T 665 - Instructional Visual/Video Production
IP&T 674 - Quasi-Experimental Research
IP&T 682R - Project & Instructional Resource Management
IP&T 692R - Advanced Topics
EIME 720 - Design-Based Research in Education
IP&T 730 - Hierarchical Linear Modeling
IP&T 745 - Statistics 2: Multiple Regression
IP&T 747 - Structural Equation Modeling
IP&T 750 - Literature Review and Synthesis
IP&T 752 - Measurement Theory
IP&T 753R - Qualitative Research 2
IP&T 754 - Item Response Theory
IP&T 790R - Advanced Seminar

Dissertation credits (18 credits)

Graduation Requirements

90 credits

32 credits of core courses
9 credits of core skill electives
19 credits of specialization
6 project credits
6 credits of internship
18 dissertation credits

Oral exam: The Final Oral Examination should be scheduled with the Department Secretary. An oral exam may take from 1-4 hours, but typically lasts about 2 hours.