A model for the use of blended learning in large group teaching sessions
Related Experiment Video
Updated: Feb 19, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Cristan Herbert1, Gary M Velan2, Wendy M Pryor2
1Department of Pathology, School of Medical Sciences, Faculty of Medicine, UNSW Sydney, Sydney, 2052, Australia. C.Herbert@unsw.edu.au.
Background:
Although blended learning has the potential to enhance the student experience, both in terms of engagement and flexibility, it can be difficult to effectively restructure existing courses. To achieve these goals for an introductory Pathology course, offered to more than 250 undergraduate students at UNSW Sydney, we devised a novel approach.
Methods:
For each topic presented over 2-3 weeks, a single face-to-face overview lecture was retained. The remaining content that had previously been delivered as conventional lectures was converted into short (12-18 min) online modules. These were based on lecture slides with added animations/highlights, plus narration using edited excerpts of previous lecture recordings. The modules also incorporated interactive questions and review quizzes with feedback which used various question types. Modules were developed in PowerPoint and iSpring and uploaded to Moodle as SCORM packages. Each topic concluded with an interactive large-group session focussing on integration of the content, with in-class questions to which students could respond via the Echo360 Active Learning Platform (ALP). Overall, more than 50% of face-to-face lecture time was replaced by online modules and interactive large-group sessions. Quantitative evaluation data included usage statistics from 264 students and feedback via online survey responses from 41 students. Qualitative evaluation data consisted of reflective commentaries from 160 student ePortfolios, which were analysed to identify factors affecting learning benefits and user acceptability.
Results:
All of the modules were completed by 74% of students and on average, 83.1% of students eventually passed the optional review quizzes. Notably, 88.4% of students responded to in-class questions during the integration and feedback sessions via the ALP. Student reflections emphasised that the modules promoted understanding, which was reinforced through active learning. The modules were described as enjoyable, motivating and were appreciated for their flexibility, which enabled students to work at their own pace.
Conclusions:
In transforming this introductory Pathology course, we have demonstrated a model for the use of blended learning in large group teaching sessions, which achieved high levels of completion, satisfaction and value for learning.
More Related Videos
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
04:12Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
Published on: June 23, 2023
Related Concept Videos
Social Loafing
Cognitive Learning
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Steps in the Modeling Process
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Social Facilitation
Observational Learning