Teaching Readiness, Workload Analysis and Performance of Teachers in Luna District

Abstract

Aims: This study analyzed the workload of teachers as to teaching load, other assignment/s and total workload and determined the profile of the teachers in terms of demographic profile, professional profile and administrative profile; teachers’ teaching readiness; performance of teachers; relationship of the profile and teaching readiness of teachers, profile and performance of teachers, profile and workload, teaching readiness and performance of teachers and workload and performance of teachers.
 Study Design: The researchers used the documentary analysis method.
 Place and Duration of Study: This study was conducted at the secondary schools of Luna, Apayao, from January 2018 to June 2018.
 Methodology: Sixty-five teachers were chosen as respondents through the simple random sampling. Data were collected through the survey questionnaire and School Form 7 and analyzed through frequency counts, percentage, mean and Pearson (r). 
 Results: Majority of the respondents are 38 years old, females, married, Roman Catholic, Ilocano, Teacher I, 10 years in the service, master’s degree holder, eligible to teach, and English majors, and have attended 3 trainings or seminars related to their field of specialization. Majority are very ready in their teaching career with 37 or 56.92 percent of them. The respondents’ average workload is 23, most of them are given 2 other assignments and have an average weekly workload of 25 hours. Majority perform “Very Satisfactory” in their task as a whole. There is a significant relationship between age and teaching readiness, plantilla positions, length of service and performance of the teachers. There is no significant relationship between the profile of the teachers and workload, teaching readiness and performance of teachers, performance and workload of teachers.
 Conclusion: There is so much room for professional growth among the teachers They do there tasks with competence, are service-oriented and are reliable even in doing assigned tasks different from their workload.