Developing Grade 6 English Learning Competencies via Datacasting Learning Materials for Distance and Remote Learning (67337)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Alan Mateo Munoz

Sunday, January 8, 2023 (20:10)
Session: Session 5
Room: Live-Stream A
Presentation Type:Live-Stream Presentation

All presentation times are UTC-10 (Pacific/Honolulu)

The COVID-19 pandemic has forced the education sector to utilize information and communication technologies in lesson delivery. Unfortunately, only 17.7% of households in the Philippines have Internet access, and only 23.8% of households have communal computers (DICT, 2019). However, around 82.7% of households in the country have a television at home and using datacasting technology, learning materials could be delivered to these homes. Datacasting is the process of delivering computer (IP) data over a traditional broadcast signal (APTS, 2018). This quasi-experimental pretest-posttest research aimed to develop a pedagogical framework for distance and remote learning via datacasting and to use this framework to develop and pilot lessons and learning materials for Grade 6 English. The constructs that underlie distance learning (DL) via datacasting are interactivity and structure which are based on Michael Moore’s(1993; 2018) transactional distance theory. The lessons aimed to develop higher-order thinking skills and thus, are rooted in the principles of communicative language teaching and the Process Approach to Writing. The pilot was conducted at a public school in Cavite, and in a private integrated school in Laguna, Philippines. Results of the quantitative analysis of the test scores using Wilcoxon Signed Rank Test reveal that there is a 115% increase with 0 as the test stat sum. This means that the culminating writing activities of all Quarter 4 lessons enhance the writing skills of the students who completed all the lessons. However, the results suggest further refinement of the learning materials and feedback mechanism.

Authors:
Alen Mateo Munoz, De La Salle University - Manila, Philippines
Raymund Sison, De La Salle University Manila, Philippines


About the Presenter(s)
Dr. Alen Mateo S. Munoz is a permanent faculty member of De La Salle University Manila teaching at the undergraduate and graduate levels. He is a textbook writer and teacher trainer. His research interests are assessment, literacy, and datacasting.

Connect on Linkedin
https://www.linkedin.com/in/alen-munoz-a6242a115

Connect on ResearchGate
https://www.researchgate.net/profile/Alen-Munoz

Additional website of interest
https://dlsu.academia.edu/AlenMateo

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00