Speaker
Description
Within the changing environment of 21st-century learning, the integration of Information and Communication Technology (ICT) is critical to improve instructional practices and retain cultural heritage. Seeing the plight of MAPEH teachers, limited access to credible sources, lack of training in digital tools, and reliance on outdated or unverified materials. This research works on creating a vodcast (a video podcast) as a virtual instructional material for teaching basic Philippine folk dance movements. Utilizing the Successive Approximation Model (SAM), the researchers used a qualitative method that included expert consultation, iterative design, and thematic analysis. Data were collected using purposive sampling and comprised folk dance experts, MAPEH teachers, ICT experts, trained student models, and a music specialist to attest to the cultural relevance, pedagogic value, and technical quality of the vodcast. The process of development included planning lessons, developing a storyboard, shooting demonstrations, and finalizing the vodcast based on expert consultation. The completed vodcast is composed of compartmentalized episodes with a sequential teaching method: observe, practice together, and practice alone, aimed at facilitating self-paced and interactive learning. Findings showed that the vodcast successfully blended pedagogical correctness with cultural authenticity. Experts attested to its pedagogical validity, user engagement, and capacity to facilitate student learning at their own pace. The research concludes the development of the vodcast needed to be well planned and carefully combined with clear instructions, technical precision, and interactional elements. In spite of its challenges, it became a feasible and functional tool for teaching common Philippine folk dance. It is suggested that teachers and curriculum developers incorporate similar multimedia materials into teaching cultural subjects to promote both digital literacy and cultural appreciation.
Keywords: Vodcast, Philippine Folk Dance, ICT Integration, Successive Approximation Model (SAM)
