Curriculum

This is a college-wide required course for master’s students. In it, you will:

• Understand the principles of social justice and their relation to diversity and multiculturalism in professional and personal settings
• Apply relevant theoretical constructs in analyzing problems related to diversity and multiculturalism
• Understand how literature, research and educational philosophy relate to oppression, privilege, hegemony and professional practice
• Re-examine personal and professional commitment to value diversity, dignity and democracy

By the end of this course, you should be able to:

• Compare and contrast the major and emerging cognitive learning paradigms/ theories from both a learning and instructional perspective
• Identify instructional innovations emerging from learning and instructional theory and discuss the research currently being done in those areas
• Construct a meaningful, personal synthesis of learning theory that informs your own understanding of learning and instruction

Upon successful completion of the course, you should be able to:

• Understand multiple instructional design models
• Perform learner analysis, context analysis and instructional analysis
• Develop learning objectives, assessment instruments, instructional strategies, instructional materials and evaluation methods
• Design an instructional product utilizing the steps of an instructional design model
• Master techniques for successful professional collaboration in conducting instructional design tasks
• Apply instructional design principles in a variety of media formats, including text, audio, video and online learning

Upon successful completion of the course, you’ll be able to:

• Understand the principles of multimedia learning
• Know basic theories of teaching and learning
• Analyze the major elements of multimedia products
• Apply multimedia learning principles
• Evaluate the strengths and weaknesses of multimedia products
• Gain experience in various multimedia software and instructional technology
• Develop good-quality multimedia products
• Collaborate with group members in leading discussions and carrying out tasks that involve the development and evaluation of multimedia principles
• Integrate information and communications technologies in the preparation and delivery of multimedia learning products for instructional and professional development purposes.

By the end of the course, you’ll be able to:

• Demonstrate knowledge of different concepts of new media technology
• Demonstrate knowledge of the design and development process of creating new media applications and issues related to the process
• Apply instructional design principles
• Use various new media tools
• Design and create a prototype of an interactive educational application.

By the end of this course, you will have demonstrated:

• Understanding of the difference between assessment, measurement, and evaluation as applied to instructional technology
• Knowledge of relevant instructional technology organizations — such as the International Society for Technology in Education (ISTE) and the International Association for K-12 Online Learning (iNACOL) — and their standards, with specific attention to the following:
  • Design and develop technology-supported and online student assessment (ISTE-T 2-b; iNACOL G, H)
  • Critically analyze and evaluate relevant research studies (ISTE-T 3-d, 5-c)
  • Acquire and employ effective data collection instruments and techniques. (iNACOL I)
  • Analyze and draw conclusions from evaluation data (ISTE-T 2-d; iNACOL I)
  • Generate a proposal to evaluate an instructional technology initiative. (ISTE-T 5-d)
  • Clearly communicate through a written report to stakeholders the purpose, methods and results of technology program evaluation (ISTE-T 5-d)
• Critical reading skills for instructional technology research
• Mastery of the fundamentals of educational research design
• Professional-level reading, writing, collaboration and presentation skills

Through this course, you will:

• Define learning analytics and explain its role in education
• Analyze and evaluate applications of learning analytics in various educational contexts
• Understand and apply key learning analytics methods, including emotional and multimodal analytics, predictive modeling, network analysis, temporal analysis and text analysis
• Design and evaluate learning analytics dashboards
• Explain the relationship between learning analytics and educational theories
• Identify ethical considerations in learning analytics, including privacy, diversity and inclusion
• Differentiate between learning analytics and educational data mining and understand their complementary nature
• Plan and present a learning analytics project
• Critically evaluate learning analytics research and applications, identifying strengths, limitations and areas for improvement

By the end of this course, you will:

• Gain a basic understanding of data visualization (e.g., data management skills, technical skills, visualization principles, data ethics related to visualization)
• Learn appropriate methods for collecting, analyzing and interpreting numerical information
• Learn to analyze and critically evaluate data, graphs, dashboard and storyline
• Develop specific skills, competencies and visualization mindset needed by professionals in the fields
• Be able to apply and illustrate relevant visualization techniques to handle real-life examples

By the end of the course, you will be able to:

• Critically evaluate the role and impact of AI in education
• Identify and analyze different types of AI tools relevant to educational contexts
• Select and integrate appropriate AI tools into your teaching and learning practices
• Consider ethical implications and responsible use of AI in education
• Discuss and contribute to the future directions of AI in education

By the end of the course, students will be able to:

• Identify and describe common machine learning algorithms (e.g., regression, decision trees, clustering, neural networks) and evaluate their appropriateness for solving specific problems in teaching, learning and assessment
• Apply machine learning techniques to simulated educational datasets using appropriate tools, including data preprocessing, model training, evaluation and interpretation of results
• Describe recent developments in generative AI, including large language models, AI agents and agent skills, and explain their underlying mechanisms at a conceptual level
• Design and prototype AI-enhanced educational tools or workflows that leverage generative AI and agent-based systems to support instruction, personalized learning, feedback or assessment

By the end of this course, you should be able to:

• Demonstrate an overall understanding of design principles and strategies relevant to educational technologies
• Demonstrate knowledge of user-centered design, human-computer interaction and Universal Design for Learning specifically
• Understand the importance and strategies of usability testing research
• Evaluate educational tools, including online courses, dashboards, websites and educational games using design principles
• Apply and illustrate relevant design principles to handle real-life examples

In this course, you will:

• Explain the value and use of project-, scenario- and simulation-based learning
• Design and share project-, scenario and simulation based learning activities
• Incorporate teamwork and consensual decision-making in the design of the above activities
• Identify environments most conducive to successful learning with the above methods
• Explore the technologies used in the development of these activities
• Design and develop an interactive simulation-based learning activity
• Use AI in appropriate ways to pursue the above objectives

By the end of the course, you can expect to:

• Analyze designs of tabletop and digital learning games
• Demonstrate awareness of several types of game-based learning scenarios
• Explain why games are engaging, motivating and strong examples of powerful learning
• Develop and present an initial design for a learning game
• Effectively create a prototype of a tabletop or digital learning game

By the end of the course, you will be able to:

• Identify key concepts and themes related to online teaching and learning
• Understand the multidimensional roles of online instructors
• Be familiar with online teaching philosophies
• Discuss how learning theories can inform online design and teaching practice
• Propose several strategies to enhance student engagement in online learning