<?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%">Muhammet İbrahim Akyürek</style></author><author><style face="normal" font="default" size="100%">Kübra Yenel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PERCEIVED DISCRIMINATION AND STUDENT COMMITMENT IN HIGHER EDUCATION: THE MEDIATING ROLE OF SERVICE QUALITY</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%">higher education students</style></keyword><keyword><style  face="normal" font="default" size="100%">mediation analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">perceived discrimination</style></keyword><keyword><style  face="normal" font="default" size="100%">service quality in higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">student commitment</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August / 2026</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2026/457-1789647515.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">84</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%">Perceived discrimination has been recognized as an important factor associated with students' educational experiences; however, the institutional mechanisms through which it relates to student commitment remain insufficiently understood. This study examined the mediating role of perceived service quality in the relationship between perceived discrimination and student commitment among 417 undergraduate students enrolled in faculties offering four-year degree programmes. Guided by Student Engagement Theory and Social Exchange Theory from an institutional perspective on higher education, a mediation model was tested in which perceived service quality mediated the relationship between perceived discrimination and student commitment. A cross-sectional correlational design was employed. Data were collected using validated scales, and the hypothesised mediation model was tested using PROCESS Macro (Model 4) with bootstrapping. Results indicated that perceived discrimination did not directly predict student commitment; however, it negatively predicted perceived service quality, which in turn positively predicted student commitment. Moreover, perceived discrimination exerted a significant indirect effect on student commitment through perceived service quality, supporting a full mediation model.</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%">552-564</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>