Learning structure

Short description.

This course introduces university teachers to practical, easy-to-use AI tools that enhance academic productivity, support teaching, and streamline administrative tasks. Participants will explore how artificial intelligence can assist with lesson planning, content generation, grading, research support, and communication, all while maintaining ethical and pedagogical standards. Hands-on sessions will ensure participants leave with applicable skills and ready-to-use tools.

Content.

Introduction to AI in Academia

Activity: Group discussion – “How are you already using AI (knowingly or not)?”

AI for Lesson Planning and Content Creation

Activity: Use ChatGPT or other AI tools to generate a lesson plan or teaching material for your subject.

AI in Assessment and Feedback

Activity: Test AI tools (e.g., Gradescope, ChatGPT) to create quiz questions or generate automated feedback.

Research Support with AI

Activity: Use tools like Elicit or Scite to find sources, summarise articles, or brainstorm research ideas.

Time Management and Task Automation

Activity: Create an AI-powered weekly planner or email response assistant (e.g., using Notion AI or Gmail smart replies).

AI for Presentation and Visual Aid Creation

Activity: Design a slide deck using AI (e.g., Canva Magic Design, Tome.app) for an upcoming lecture.

Ethical Use of AI in Teaching and Learning

Activity: Case study discussion – “Where is the ethical line in student use of AI?”

Building Your AI Toolkit

Activity: Create a personalised “AI toolbox” list for your academic tasks and share it with peers.

Developed skills.

Digital Literacy

Understanding how AI tools work and how to navigate them confidently.

AI-Assisted Content Creation

Generating lesson plans, presentations, quizzes, and summaries using AI tools.

Efficiency in Academic Workflows

Automating repetitive tasks (e.g., grading, scheduling, emails) to save time.

Critical Thinking and Ethical Awareness

Evaluating the responsible use of AI in teaching, learning, and assessment.

Research Support and Information Management

Using AI to enhance literature searches, summarise articles, and generate citations.

Feedback and Assessment Design

Applying AI to design formative assessments and provide constructive feedback.

Adaptability and Innovation in Teaching

Experimenting with new tools and integrating them creatively into teaching practice.

Collaboration and Peer Learning

Sharing insights and tools with colleagues to foster a culture of innovation."

Duration. 2 hours.

Place. Online training.

Target group. VMU academic staff and doctoral students.

Professional development activities by competency groups. Group 1 – general; Group 2 – professional activities.

Direction of professional development activities. Level A training programs (for beginners).

Teachers