Technology and Information Management that Affect the Quality of Teachers’ Learning in Secondary Schools, Ratchaburi Province
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Purpose: 1) the factors in technology and information management in the new normal era post-COVID-19, 2) the quality of teachers’ learning management in the new normal era after the COVID-19 situation, and 3) the factors in technology and information management influencing the quality of teachers’ learning management in the new normal era post-COVID-19 in secondary schools in Ratchaburi Province. Research design, data and methodology: The sample group consists of 312 individuals, including administrators and teachers. The research instrument is a questionnaire with a reliability coefficient between .67-1.0 and a confidence level of .889. The statistical analyses include means, percentage, standard deviations, and multiple regression analysis. Result : The results show the hypotheses are 1.The research revealed that the factors in technology and information management in the new normal era after the COVID-19 situation for secondary school administrators in Ratchaburi Province were, overall, at a high level. When considering each aspect individually, the findings indicated a high level across all dimensions, ranked in descending order of mean values as follows: information, rules and regulations, instructional media, teaching methods, teachers, information, infrastructure, technology, and students. 2.The overall quality of teachers’ learning management in the new normal era after the COVID-19 situation in secondary schools in Ratchaburi Province was found to be at a high level. When examining individual aspects, the results indicated a high level across all dimensions, ranked in descending order of mean values as follows: assessment and evaluation, learning efficiency, learning management, and student satisfaction. 3. The factors in technology and information management influencing the quality of teachers’ learning management in secondary schools in Ratchaburi Province were identified as: 1) students, 2) infrastructure, and 3) overall technology and information factors (Xtot). These factors demonstrated an 85.10% predictive efficiency in the raw score-based equation. The equation is expressed as follows: Ŷtot= 0.132 + 0.125X3 + 0.120X7 + 0.981Xtot And the raw score-based equation: ZŶtot = 0.112 + 0.049X3 + 0.056X7 + 0.412Xtot Conclusions: The above important variables that should be emphasized and strengthened in the management of information technology for teaching in schools are students, information technology infrastructure. and overall management which includes 1) Technology 2) Information 3) Learners 4) Teachers 5) Teaching media 6) Teaching methods 7) Infrastructure 8) Information 9) Regulations
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