Search Results for: assessment

The pedagogic value of Live Coding: Case Study – Civil Engineering

Live coding—where instructors write and execute code in real time while verbalising their thinking—has become an increasingly prominent teaching strategy in STEM disciplines, particularly computer science. It is typically framed as an active learning method that exposes students to authentic problem-solving, debugging, and iterative development practices. This paper reviews the effectiveness of live coding in […]

The Pedagogic Value of Live Coding: Case Study – Chemical Engineering

Live coding—where instructors write and execute code in real time while verbalising their thinking—has become an increasingly prominent teaching strategy in STEM disciplines, particularly computer science. It is typically framed as an active learning method that exposes students to authentic problem-solving, debugging, and iterative development practices. This paper reviews the effectiveness of live coding in […]

The Pedagogic value of Live Coding: Computer Science

Live coding—where instructors write and execute code in real time while verbalising their thinking—has become an increasingly prominent teaching strategy in STEM disciplines, particularly computer science. It is typically framed as an active learning method that exposes students to authentic problem-solving, debugging, and iterative development practices. This paper reviews the effectiveness of live coding in […]

The Pedagogic Value of Live Coding: Case Study – Physics & Astronomy

Live coding—where instructors write and execute code in real time while verbalising their thinking—has become an increasingly prominent teaching strategy in STEM disciplines, particularly computer science. It is typically framed as an active learning method that exposes students to authentic problem-solving, debugging, and iterative development practices. This paper reviews the effectiveness of live coding in […]

Supporting graduate interns in the eLearning Team

FSE’s eLearning Team has been working with a cohort of graduate interns to support the University’s transition to Canvas. Learning Technologist Siân Roughley shares how the interns have been supported, the impact they’ve had and what she’s learned along the way.

Using Artificial Intelligence in Teaching and Learning Practices

For our second edition of Using Artificial Intelligence in Teaching and Learning Practices, we spoke to Cesare Giulio Ardito, Lecturer in the Department of Mathematics, and Alison Harvey, Katie Moore, and Dirk Engelberg from the Department of Materials to gather more thoughts on the use of artificial intelligence (AI) in their teaching and learning practices. […]