<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jewelle V. Olarte</style></author><author><style face="normal" font="default" size="100%">Eddie G. Fetalvero</style></author><author><style face="normal" font="default" size="100%">Garry Vanz V. Blancia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CONSENSUS CLASSROOM CLIMATE INVENTORY: SCALE DEVELOPMENT AND VALIDATION</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">consensus classroom climate</style></keyword><keyword><style  face="normal" font="default" size="100%">factor analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">reliability test</style></keyword><keyword><style  face="normal" font="default" size="100%">scale development</style></keyword><keyword><style  face="normal" font="default" size="100%">validity test</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/457-1728583869.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">82</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Science education is a key area of research, largely due to its inherent complexity and challenges. Various teaching methods have been developed to address these difficulties, which include the consensus classroom climate. However, no standardized tool has been created to evaluate the consensus within a classroom. This study aimed to develop and validate the Consensus Classroom Climate Inventory (CCCI), an instrument designed to measure the consensus climate of a classroom. The research was conducted in two phases: (1) initial item pool development based on an extensive literature review and (2) expert panel review for content validation. The resulting 29-item scale was pilot-tested with 120 freshmen students from a state university.  Exploratory factor analysis using SMART-PLS yielded four distinct factors: Student Agency, Collaborative Learning Environment, Inclusive and Flexible Learning, and Student Autonomy. The final scale consisted of 23 items. Confirmatory factor analysis demonstrated strong factor loadings (&gt;0.8) for all items, indicating good construct validity.  Model fit indices suggested a generally good fit, though some indices indicated room for improvement. Reliability analysis revealed high internal consistency across all factors. The CCCI shows promise as a reliable and valid tool for assessing consensus classroom climate, though further refinement is recommended to enhance model fit. This instrument can assist educators in evaluating the consensus climate of Science classrooms and help educators enhance teaching to improve students’ Science learning. </style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">708-722</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Garry Vanz V. Blancia</style></author><author><style face="normal" font="default" size="100%">Eddie G. Fetalvero</style></author><author><style face="normal" font="default" size="100%">Philip R. Baldera</style></author><author><style face="normal" font="default" size="100%">Merian C. Mani</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE MEDIATING EFFECTS OF ARTIFICIAL INTELLIGENCE LITERACY ON THE ASSOCIATION BETWEEN COMPUTATIONAL THINKING SKILLS AND ORGANIZATIONAL AGILITY AMONG SECONDARY SCHOOL TEACHERS</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AI literacy</style></keyword><keyword><style  face="normal" font="default" size="100%">computational thinking skills</style></keyword><keyword><style  face="normal" font="default" size="100%">mediation analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational agility</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation modeling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/457-1728583380.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">82</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">These days’ educational landscape forces teachers to adapt to changing demands and embrace innovations. In this study, Artificial Intelligence (AI) literacy was analyzed as how it mediates the association between Computational Thinking Skills (CTS) and Organizational Agility (OA) among secondary teachers. A quantitative causal mediation analysis design was utilized in this study. Standardized AI literacy test, CTS Test, and OA test instruments were utilized to gather pertinent data among 305 respondents. The test instruments were first subjected to confirmatory factor analysis for model fitness. Path and mediation analysis through structural equation modeling revealed that CTS significantly predicts AI literacy, AI Literacy significantly predicts OA, and CTS significantly predicts OA. It was found out that AI literacy partially mediates the relationship between CTS and OA among teachers. This recommends that schools should conduct a comprehensive training program to enhance teachers' CTS and AI proficiency for schools' sustained agility.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">616-629</style></section></record></records></xml>