A revised production model of learner-generated comic: validation through expert review

• Main Authors: Azman, Farah Nadia, Zaibon, Syamsul Bahrin, Shiratuddin, Norshuhada
• Format: Article
• Language: English
• Published: EDP Sciences. 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/25551/1/MWC%20150%202018%201%206.pdf; http://repo.uum.edu.my/25551/; http://doi.org/10.1051/matecconf/201815005044
• Institution: Universiti Utara Malaysia

Recent advancement of authoring tools has fostered a widespread interest towards using comics as a Digital Storytelling medium. This technology integrated learning approach is known as learner-generated comic production; where learners constructively produce digital stories in a form of educational comics. However, there were concerns towards the obstacles and challenges of producing learner-generated comics. Hence, a conceptual production model of learner-generated comic was proposed to guide learners in designing and developing digital educational comics. Accordingly, as the decision making stage for validating the proposed model, expert review method was adopted. Results of expert review were coded and classified into flexibility, understandability, completeness, generality, and usability aspects, aligning with dimension of conceptual model characteristics. Consequently, a final appraisal cycle with experts was conducted to approve the revised and redesigned LGC production model based on expert review. In summary, the experts concluded that the proposed model replicates the process of learner-generated comic production very well, visually and descriptively. Suggestion of future research is put forward.