<?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%">Khemjira Tiengyoo</style></author><author><style face="normal" font="default" size="100%">Sayun Sotaro</style></author><author><style face="normal" font="default" size="100%">Sermsri Thaithae</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">LEVELS OF FACTORS INFLUENCING THE 21ST-CENTURY MATHEMATICS TEACHING CHALLENGES FOR SECONDARY STUDENTS IN THE SECONDARY EDUCATIONAL SERVICE AREA OFFICE OF LOPBURI: A STRUCTURAL EQUATION MODELING APPROACH</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%">mathematics secondary students</style></keyword><keyword><style  face="normal" font="default" size="100%">mathematics teaching</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</style></keyword><keyword><style  face="normal" font="default" size="100%">Thailand</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%">June/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/457-1718792515.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%">Student’s attitude towards 21st-century mathematics teaching is affected by factors such as content knowledge, knowledge of teaching and learning activities, attitude towards mathematics and technology knowledge. The aim of this study was to construct structural equation models for investigating 21st-century mathematics teaching and learning among secondary mathematics students in the Secondary Educational Service Area Office Lopburi (SEAOL). Quantitative research used the 21st-century TPACK framework. The research sample consisted of 400 SEAOL students from the 1/2022 semester using multi-stage sampling. A questionnaire was used to assess 21st-century secondary school mathematics teaching and learning with a 0.934 confidence of. The data was analyzed using the appropriate software and revealed key components and their relationships. The results show that teaching and learning, fundamental technology capability, content knowledge, specialized technology use, and mathematical content implementation all affected mathematics teaching in the 21st-century for SEAOL students. Influence was .89, .70, .63, .25, and .21. School technology support has a .59 effect on students’ basic technological skills. Technology's role in learning influenced students' technology use by .21. This research shows how each aspect affects 21st-century mathematics education at the SEAOL, and math overload had the least effect. Teachers and stakeholders should investigate and innovate to improve the use of specialized technology in teaching to help students acquire higher-level mathematical content and apply it in their daily lives.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">410-423</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%">Ayşegül Tongal</style></author><author><style face="normal" font="default" size="100%">Miray Dağyar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">UPPER-SECONDARY SCHOOL STUDENTS’ CEREBRAL DOMINANCE AND LEARNING STYLES: THE MEDIATION OF CHRONOTYPES</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%">cerebral dominance</style></keyword><keyword><style  face="normal" font="default" size="100%">chronotypes</style></keyword><keyword><style  face="normal" font="default" size="100%">learning styles</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</style></keyword><keyword><style  face="normal" font="default" size="100%">upper-secondary school</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August/2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2022/457-1662401456.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">80</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%">Learning styles, cerebral dominance and chronotypes are among the factors that have been determined to be effective on individuals’ learning. It is stated in the literature that these three variables are interrelated or affect each other. Therefore, the aim of the study is to determine the extent to which students’ cerebral dominance predicts their learning styles and whether chronotypes have an effect on this level of prediction as a moderating variable. In the research, the “Morningness-Eveningness Stability Scale improved” (MESSI), the “Kolb Learning Style Inventory” (KLSI) and the “Hermann Brain Dominance Instrument” (HBDI) were used as data collection tools. The selection of upper-secondary schools included in the sample was made in a district of Antalya province with the convenience sampling method. The sample of 593 students who agreed to respond to the scale was formed from 9th, 10th, 11th, and 12th grade students studying at these upper-secondary schools in the 2021-2022 academic year. According to the analysis results of the structural equation model (SEM) obtained in the study, it was concluded that there were significant positive correlations between learning styles and the sub-dimensions of cerebral dominance; however, chronotypes did not significantly mediate the determined correlations. The findings of this study may provide implications for determining learning styles, which have proven effects on student performance in the teaching-learning process, and, by establishing relationships between individuals’ brain structures and chronotypes, the characteristics that direct learning preferences.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">602-616</style></section></record></records></xml>