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Paper ID: UIJRTV4I40010
Volume:04
Issue:04
Pages:86-96
Date:February 2023
ISSN:2582-6832
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Analou Toyco Ramos and Ionne Alcomendras Avelino, 2023. Modular Distance Learning as Influenced by Adaptive Performance and Innovative Work Behaviors of Public Elementary Teachers. United International Journal for Research & Technology (UIJRT), 4(4), pp86-96.
Abstract
This study aimed to raise awareness among the Department of Education officials and possibly develop interventions or even new course curricula to advance the teaching-learning procedure. The research identified the factors of adaptive performance and innovative work on modular distance learning among the public elementary school teachers in the Davao del Norte Division. The study employed quantitative research using the causal-effect technique utilizing regression analysis. Mean, Pearson r, and Multiple Linear Regression Analysis were the statistical tools used to identify the level of influence and significant relationship and assess the significant influence. There were 318 teachers as the respondents, using the Slovin’s formula which the statistician calculated. Data were scientifically treated, examined, and construed. The result showed that the level of adaptive performance, innovative work behavior, and modular distance learning was very high. It also revealed that there was a significant relationship among the variables. Moreover, it was further revealed the significant influence among the domains of the independent variables on the dependent variables.

Keywords: MAED adaptive performance, innovative work behavior, modular distance learning, Philippines.


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