Themes

PEE26 Conference themes

PEE26 - Themes

Engineering practice in Higher Education and Curriculum Transformation Programme

  • Curriculum co-creation including students' voices
  • Students as Practical Engineering Educators
  • In-house design and build of practical education equipment in line with fundamental and applied research in the taught curriculum integration
  • United Nations Sustainability Development Goals within the curriculum

Student-teacher practical engineering interactions

  • Inclusivity and accessibility in the practical curriculum
  • Investigating student-teacher practical interactions and emotions both in-person, online and in hybrid settings
  • Diversity Equity, and Inclusion DEI in practical education
  • Dedicated mentoring circles that ease inclusivity and accessibility
  • Student-led societies contributing to practical engineering

Digitalisation and Artificial Intelligence in practical engineering higher education

  • Developing artificial intelligence AI tutors supporting practical settings 
  • Beyond the traditional practical pedagogy with novel digital & hybrid approaches
  • Bringing digitalisation into in-person laboratories
  • Sharing remote practical labs between universities
  • The in-person, the hybrid and the remote
  • AI/ChatGPT/ChatBox Tutor Assistants
  • Digital tools, remote labs, AI and other resources to combat universities potential financial climate

Problem-, Project- & Scenario-Based Learning

  • Breadth and choice of students’ practical hands-on experience and design
  • Industrial participation/integration in the practical hands-on experience design
  • Aligning in-person and online pre-/post-preparation work
  • Student led Problem-, Project- & Scenario-Based Learning

Transformative assessment & practical work feedback

  • Authentic assessment and feedback literacy
  • Innovation and technical opportunities for assessment and feedback in practical settings
  • Peer feedback in practical engineering and peer contribution assessment
  • Automating feedback from digitally-mediated interactions
  • Measuring the effectiveness of the lab reports skills and assessment
  • Large Language Models to improve feedback on lab reports