Self-paced modules

Flexible, Modular Pathways

The program will begin with a reflection and sharing of participants’ perspectives on teaching values and philosophies of learning followed by a showcase of some VinUniversity faculty members and students sharing beliefs, expectations, teaching strategies, and innovative classroom techniques. This will provide some context for the rationale behind the training program and help you to see how your teaching values align with VinUniversity’s broader vision of active learning, as well as offering different perspectives on how active learning can look like in action.  The core competencies program consists of ten modules:

Course Design

Develop your course with clear alignment, learning outcomes, and syllabus design principles.

Active Learning

Learn different methodologies and techniques to get students engaged in deeper learning.

Acad. Integrity

VinUniversity's approach to identifying and addressing plagiarism and 'AIgiarism'.

Assessment

Explore various assessment types, grading systems, and best practices in test design and evaluation.

Feedback

Apply effective feedback principles using written, multimedia, and peer methods in Canvas LMS.

Student Engagement

Enhance student motivation through rapport-building, discussion facilitation, and classroom management.

Inclusive Teaching

Creating accessible and culturally responsive learning environments using Universal Design principles.

Canvas LMS

Master key Canvas features for comprehensive course management and student interaction.

Educational Technology

Utilize VinUniversity's tech resources and integrate various digital tools to enhance learning.

Generative AI

Understand the impact of AI on education, address ethical concerns, and integrate AI literacy into curricula
Personalized Learning

Unforgettable learning experiences!

 COURSE DESIGN

Module Topics

Learning goal: Develop your course with clear alignment, learning outcomes, and syllabus design principles.

Estimated duration: xx mins

  • Learning outcomes
  • Constructive alignment model
  • Backward design
  • Syllabus design
Optional

ACTIVE LEARNING

Module Topics

Learning goal: Learn different methodologies and techniques to get students engaged in deeper learning.
Estimated duration: xx mins

  • Principles of active learning
  • Active learning methodologies 1: Flipped classroom, Team-Based Learning (TBL)
  • Active learning methodologies 2: Problem-Based Learning (PBL), Case-Based Learning (CBL), Process Oriented Guided Inquiry Learning (POGIL)
  • Active learning classroom techniques & activities 1: Classroom Assessment Techniques (clickers, polling, one-minute papers, exit tickets); Think-Pair-Share, variations
  • Active learning classroom techniques & activities 2: Jigsaw method; Roundtable discussions and circular response; Total Physical Response (TPR), others
  • Gamification and game-based learning
  • Out-of-class collaboration
Required

ACADEMIC INTEGRITY

Module Topics

Learning goal: VinUniversity's approach to identifying and addressing plagiarism and 'AIgiarism'.
Estimated duration: xx mins

  • Defining plagiarism and AIgiarism
  • VinUniversity Academic Integrity Policy
  • Generative AI policy and AI assessment scale at VinUniversity
  • Responding to suspected academic integrity violations
Required

ASSESSMENT

Module Topics

Learning goal: Explore various assessment types, grading systems, and best practices in test design and evaluation.
Estimated duration: xx mins

  • Formative vs. summative assessment
  • Alternative grading systems (Specifications Grading, Contract Grading, Ungrading)
  • Rubric development
  • Test/quiz design best practices
  • Best practices in grading
  • Statistical analysis
Required

FEEDBACK

Module Topics

Learning goal: Apply effective feedback principles using written, multimedia, and peer methods in Canvas LMS.

Estimated duration: xx mins

  • Principles of effective feedback
  • Written and multimedia feedback
  • Peer feedback
  • Canvas SpeedGrader and gradebook
Optional

STUDENT ENGAGEMENT

Module Topics

Learning goal: Apply effective feedback principles using written, multimedia, and peer methods in Canvas LMS.
Estimated duration: xx mins

  • Building rapport and facilitating discussions
  • Increasing student motivation
  • Classroom management
Required

INCLUSIVE TEACHING

Module Topics

Learning goal: Creating accessible and culturally responsive learning environments using Universal Design principles.
Estimated duration: xx mins

  • Universal design for learning (UDL)
  • Culturally responsive teaching
  • Accommodating disabilities and learning differences
  • Designing accessible learning materials (PowerPoint, Word, PDFs, subtitles in videos, Canvas pages)
Required

CANVAS LMS

Module Topics

Learning goal: Master key Canvas features for comprehensive course management and student interaction.

Estimated duration: xx mins

  • Home page and syllabus
  • Settings and navigation
  • Announcements
  • Discussion boards
  • Assessments, grading, rubrics
  • SpeedGrader for marking and feedback
  • Gradebook
  • DesignPLUS
Optional

EDUCATIONAL TECHNOLOGY

Module Topics

Learning goal: Utilize VinUniversity's tech resources and integrate various digital tools to enhance learning.

Estimated duration: xx mins

  • VinUniversity classroom equipment & technology
  • Panopto video creation & storage
  • Canvas integrations (LTIs)
  • Collaborative platforms
  • Screencasting (Loom)
Optional

GENERATIVE AI

Module Topics

Learning goal: Understand the impact of AI on education, address ethical concerns, and integrate AI literacy into curricula
Estimated duration: xx mins

  • What is generative AI and the capabilities and limitations of current tools
  • How AI is changing education and work landscapes
  • Ethical considerations (energy consumption, labor explotation, copyright, digital divide issues); Privacy concerns with student data; Modeling ethical AI use for students
  • Generative AI techniques (Selecting appropriate AI tools; Crafting effective prompts; roles; follow-up prompts)
  • AI-Enhanced Course Design (Generating examples and scenarios; discipline-specific case studies; rubrics and assessment criteria; adapting materials for different learning styles; syllabus FAQ)
  • Teaching AI literacy to students (Integrating AI literacy into curricula; Critical analysis of AI output; using "bad" AI outputs as teaching moments; Student exercises in AI output analysis; Ethical boundaries of student use)
Required
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Need for support & consultation

 Meet us at drop-in office hours: Mon-Fri, 10:30 AM - 12:30 PM or 4:00 - 5:00 PM, Room I418, 4th Floor, I Building or
 Book 1:1 session with Teaching & Learning Excellence Team