<?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%">Arthur, Y. A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MATHEMATICS TEACHERS’ ACCEPTANCE OF ICT IN TEACHING AND LEARNING: AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL</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%">ICT</style></keyword><keyword><style  face="normal" font="default" size="100%">mathematics education</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">technology acceptance model</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%">June/2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2022/457-1657803310.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%">The research sought to assess mathematics teachers’ acceptance of Information and Communication Technology (ICT) integration into teaching and learning at the secondary schools. This study was a cross-sectional survey that gathered data with structured questionnaire. The population was mathematics (core and elective) teachers of secondary schools within the Ashanti region of Ghana. Purposive sampling was used to select mathematics teachers from 41 secondary schools in the region. In all, there were 207 usable questionnaires for the study. Structural Equation Modelling (SEM) was run in Amos (v.23) to estimate the path coefficients of the various hypotheses, using Technology Acceptance Model (TAM). The study established that perceived ease of use predicted both perceived usefulness and attitude towards use; perceived usefulness predicted attitude towards use and behavioral intention; attitude towards use of technology predicted the behavioral intention to adopt technology in teaching and learning, while behavioral intention also predicted actual usage of ICT in teaching and learning of mathematics. As an extension to the original TAM, the study found school related factors as percussor to perceived usefulness and perceived ease of use. Similarly, ICT training was found to greatly influence perceived usefulness and perceived ease of use.  </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%">408-425</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%">Ali Maksum</style></author><author><style face="normal" font="default" size="100%">Fifukha D. Khory</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EFFECT OF LEARNING CLIMATE, THINKING PATTERN, AND CURIOSITY ON ACADEMIC PERFORMANCE IN HIGHER EDUCATION</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%">academic performance</style></keyword><keyword><style  face="normal" font="default" size="100%">epistemic curiosity</style></keyword><keyword><style  face="normal" font="default" size="100%">learning climate</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">thinking pattern</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2020/457-1581494986.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">78</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%">This research aimed to examine the theoretical model that explains the relations among learning climate, thinking patterns, and curiosity on academic performance. This research was a non-experimental research with 1,000 respondents from State University of Surabaya, Indonesia. They came from 20 departments, consisting of 324 men and 676 women with a mean age of 19.81 years. Data were collected using a questionnaire, including inventory of learning climate, thinking patterns, and curiosity. Data were analyzed using Structural Equation Modeling. The results showed that the model was compatible with the data. The examination also showed the effect of the learning climate on thinking patterns, the influence of thinking patterns on curiosity, the influence of the learning climate on curiosity, and the influence of curiosity on academic performance. It is concluded that learning climate, thinking pattern, and curiosity play an important role in academic performance. Thus, the quality of students can be improved if curiosity is cultivated and reflective thinking patterns are formed. This requires serious efforts, both in policy and practice, to build a learning climate for the growth of students' thinking and curiosity.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">102-113</style></section></record></records></xml>