Responsive Digital Pedagogy for Elementary Learner Engagement

Abstract

This study explored the predictive role of responsive digital pedagogy in shaping elementary learner engagement in Baggao, Cagayan. It focused on four dimensions of digital teaching: adaptive digital task design, responsive feedback, participatory digital interaction, and access-sensitive instructional support. An explanatory-predictive path design was applied to data from 90 public elementary school teachers selected through stratified criterion-random sampling. Responses were analyzed using partial least squares structural equation modeling, bootstrapping with 10,000 resamples, PLSpredict, and importance-performance map analysis. The measurement model established acceptable reliability, convergent validity, and discriminant validity. Results showed that responsive digital pedagogy explained 62.4% of the variance in learner engagement. Responsive feedback exerted the strongest positive effect, followed by participatory digital interaction and adaptive digital task design. Access-sensitive instructional support, however, did not significantly predict engagement and emerged as the weakest area of implementation. Predictive analysis further showed that the model performed better in explaining active participation, sustained attention, and learning effort than cognitive involvement. These findings suggest that the effectiveness of digital instruction depends less on technology use itself and more on how teachers adapt digital experiences, provide timely feedback, and create meaningful opportunities for participation. Strengthening access-sensitive practices and designing tasks that promote deeper cognitive engagement are recommended to improve responsive digital teaching in elementary classrooms.