The proliferation in the use of video lecture capture in universities worldwide presents an opportunity to analyse video watching patterns in an attempt to quantify and qualify how students engage and learn with the videos. It also presents an opportunity to investigate if there are similar student learning patterns during the equivalent physical lecture. The goal of this action based research project was to capture and quantitatively analyse the viewing behaviours and patterns of a series of video lecture captures across several university Java programming modules. It sought to study if a quantitative analysis of viewing behaviours of Lecture Capture videos coupled with a qualitative evaluation from the students and lecturers could be correlated to provide generalised patterns that could then be used to understand the learning experience of students during videos and potentially face to face lectures and, thereby, present opportunities to reflectively enhance lecturer performance and the students’ overall learning experience. The report establishes a baseline understanding of the analytics of videos of several commonly used pedagogical teaching methods used in the delivery of programming courses. It reflects on possible concurrences within live lecture delivery with the potential to inform and improve lecturing performance.
|Title of host publication||ITiCSE 2016 Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education|
|Publication status||Published - 11 Jul 2016|
|Event||ACM 21th Annual Conference on Innovation and Technology in Computer Science Education. - Universidad Católica San Pablo, Arequipa, Peru|
Duration: 08 Jul 2016 → 13 Jul 2016
|Conference||ACM 21th Annual Conference on Innovation and Technology in Computer Science Education.|
|Period||08/07/2016 → 13/07/2016|