Communication Capacities and Mutual Connection System of Teachers in Public Elementary Schools

Abstract

This study examined the communication capabilities and mutual connection system of public elementary school teachers in the Davao Central District, Division of Davao City. A universal sampling method was employed using a non-experimental quantitative research design with a correlational approach. The respondents were 132 public elementary school teachers. Statistical tools utilized included the mean, Pearson Product-Moment Correlation Coefficient (Pearson r), and regression analysis. The findings revealed that the communication capabilities of public elementary school teachers—measured in terms of connections, compelling communication, stability, manners, listening, and charm—were often demonstrated. Similarly, the mutual connection system, assessed through revision, goal achievement, unification, and potential, was also frequently evident. A significant relationship was found between the teachers' communication capabilities and their mutual connection system. Furthermore, specific domains of communication capabilities significantly influenced the mutual connection system. These results underscore the synergistic relationship between communication capabilities and a mutual connection system, where effective communication enhances mutual connections, and a well-structured connection system fosters continuous and efficient communication. Conversely, weaknesses in these areas could result in communication breakdowns, misunderstandings, or diminished group cohesion. The study highlights the importance of fostering both robust communication skills and a supportive connection system among public elementary school teachers to promote collaboration and effectiveness in the educational setting. This study was limited to public elementary school teachers in the Davao Central District, which may affect the generalizability of the findings to other contexts. Future research could explore other educational levels or regions and consider mixed methods to provide deeper insights and validate the results.