<?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%">Mehmet Ersoy</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%">A MATHEMATICAL PROBLEM-SOLVING PERCEPTION SCALE FOR SECONDARY SCHOOL STUDENTS: A VALIDITY AND RELIABILITY STUDY</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</style></keyword><keyword><style  face="normal" font="default" size="100%">perception</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</style></keyword><keyword><style  face="normal" font="default" size="100%">scale development</style></keyword><keyword><style  face="normal" font="default" size="100%">secondary school students</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%">October/2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2022/457-1667682828.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%">Determining students' perceptions of problem-solving is an important step to improve their mathematical problem-solving skills. For this reason, the aim of this study was to develop a scale to determine secondary school students’ perceptions of mathematical problem solving. In the study conducted in a basic research model, a scale application, one of the quantitative research methods, was used. The sample of the study consisted of 325 secondary school students. Validity and reliability analyses were made with the data obtained on the sample. Five sub-dimensions of the scale were determined through exploratory factor analysis. Confirmatory factor analyses were performed for these 5 sub-dimensions, and the fit indices were found to range from acceptable to excellent. The explained variance of the “Mathematical Problem-Solving Perception Scale” was 66.15%, and the Cronbach alpha value for the whole scale was .93. It was concluded that the scale would reveal the perception levels of secondary school students towards mathematical problem solving in a valid and reliable way.</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%">693-707</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%">Friyatmi</style></author><author><style face="normal" font="default" size="100%">Djemari Mardapi</style></author><author><style face="normal" font="default" size="100%">Haryanto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ASSESSING STUDENTS’ HIGHER ORDER THINKING SKILLS USING MULTIDIMENSIONAL ITEM RESPONSE THEORY</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%">creative thinking</style></keyword><keyword><style  face="normal" font="default" size="100%">critical thinking</style></keyword><keyword><style  face="normal" font="default" size="100%">HOTS</style></keyword><keyword><style  face="normal" font="default" size="100%">MIRT</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</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%">April/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2020/457-1587022339.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%">The development of the economics HOTS test that combines critical thinking skills, problem-solving, and critical thinking are essential to meet the challenges of the 21st century life skills. The combination of these thinking skills in the HOT test will help teachers to diagnose students' strengths and weaknesses. However, it could interfere with the accuracy of the measurement results if analyzed using IRT in a single analysis. The Multidimensional Item Response Theory (MIRT) resolved the accuracy of the measurement issues. This research aimed to develop the economics HOTS test to estimate the student’s abilities in higher order thinking skills using the MIRT.  The samples were 750 high school students selected from fourteen high schools in West Sumatera, Indonesia. The data were collected using tests which calibrated through the simple-structure MIRT model using R studio. The test reliability was calculated based on coefficients Alpha and test information function. The results show MIRT offers accurate measurement in estimating multidimensional test parameters. The item had a moderate average multidimensional discriminant and difficulty, while the students had a moderate HOTS ability. Their ability to think creatively was lower than critical thinking and problem-solving abilities. The test was proven to be reliable with coefficients Alpha of 0.81, it yielded a high-test information function of the 4.0124, and a low measurement error of 0.4992. It is suitable to be tested on students who have moderate abilities in problem-solving and critical thinking, but with high creative thinking ability.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">196-214</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%">Nizaruddin</style></author><author><style face="normal" font="default" size="100%">Muhtarom</style></author><author><style face="normal" font="default" size="100%">Yanuar Hery Murtianto</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXPLORING OF MULTI MATHEMATICAL REPRESENTATION CAPABILITY IN PROBLEM SOLVING ON SENIOR HIGH SCHOOL STUDENTS</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%">multiple representations</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</style></keyword><keyword><style  face="normal" font="default" size="100%">two-variable linear equation system</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2017/457-1513710677.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">75</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 students’ multi-mathematical representation capability in problem solving is very important and interesting to discuss, specifically for problems in the two-variable linear equation system. Data was collected from 48 students using written tests and in-depth interviews with selected participants. The research findings showed that few students are using three representations namely symbolic - verbal - table representation, and symbolic representation, however most of the students are using three representations namely symbolic - verbal - images representation, and two representations namely symbolic – verbal representations, and the rest used symbolic representation. In the use of verbal representation, some students had difficulty composing words and all students encountered difficulties in the translational process from symbolic representation and verbal representation to other types of representation. The ability to understand concepts and relationships between mathematical concepts was found to be a necessary condition for the achievement of multi-mathematical representation capability. It is therefore recommended that teachers use a variety of different types of representation, such as verbal, tables and images, to enhance students' understanding of the material. </style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">591-598</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%">Senar   Temel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PROSPECTIVE CHEMISTRY TEACHERS’ PROBLEM SOLVING ACHIEVEMENT ACCORDING TO THEIR LEVELS OF METACOGNITIVE SKILLS</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%">metacognition</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">March/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2014/457-1419346631.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">51</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This research aims at analysing how prospective teachers’ levels of metacognitive skills influence their problem solving achievement. The research was conducted with the participation of the 32 prospective teachers attending the Department of Chemistry Education of the Education Faculty of Hacettepe University and enrolled in Inorganic chemistry course in the 2010-2011 academic year. Metacognitive Activities Inventory, MCA-I and Chemical Bonding Achievement Test, CBAT were used as the tools of data collection. Descriptive statistics as well as one-way ANOVA were employed in the analysis of the data collected. Consequently, the prospective teachers were divided into three groups according to their levels of metacognitive skills. Following the one-way ANOVA, it was found that there were no statistically significant differences between the prospective teachers grouped on the basis of differing levels of metacognitive skills in terms of their achievement in problem solving.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">126-131</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%">Catherine M.  Aurah</style></author><author><style face="normal" font="default" size="100%">Setlhomo  Koloi-Keaikitse</style></author><author><style face="normal" font="default" size="100%">Calvin  Isaacs</style></author><author><style face="normal" font="default" size="100%">Holmes  Finch</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE ROLE OF METACOGNITION IN EVERYDAY PROBLEM SOLVING AMONG PRIMARY STUDENTS IN KENYA</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%">metacognition</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2014/457-1405179582.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">30</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Metacognition is an important dimension of problem solving because it includes problem-relevant awareness of one’s thinking, monitoring and regulation of cognitive processes, and application of heuristics. This study investigated the effect of Metacognition on problem solving among 150 students at Muraka Primary School, Kenya in June 2010. Students answered a 25-item self-report Metacognitive Awareness Inventory (MAI), and a 1-item multiple choice Problem solving questionnaire (PSQ). Data were analyzed using linear regression and ANOVA. Results indicated that metacognition is a good predictor of problem solving ability. Students showed significant differences in problem solving based on grade. There was also a significant difference in metacognition level based on grade. These results imply that metacognitive ability develops with age, such that the higher the grade levels the higher the metacognitive ability. Therefore, understanding the role of metacognition in children’s everyday problem solving may lead to the development of more effective instruction, by teachers, which incorporates metacognitive skills to help children improve in their problem solving skills and overall academic achievement.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">9-21</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%">Merle Kaldjärv</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">LOGICAL ARGUMENTATION ON THE BASIS OF STATE EXAMINATION COMPOSITIONS</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%">discussion skills</style></keyword><keyword><style  face="normal" font="default" size="100%">mother tongue</style></keyword><keyword><style  face="normal" font="default" size="100%">problem solving</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">January/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2014/457-1392315326.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">10</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The present article discusses students' argumentative skills as reflected in state examination compositions. The study focuses on the question whether students can logically argue in state exam compositions. For the given purpose 1700 state examination compositions from the years 1997, 2004, 2005, 2006 and 2008 were analysed employing as methods T.A. van Dijk's macrostructures and M.Hoey's superstructures, the latter was related to the structure of the argumentative text type. 
The article discusses the logic of the argumentative text type: the correlation between the third paragraph and the logic of the paragraphs is analyzed, the comparison of the two most frequently used clusters deduced from the cluster analysis are presented with the respective examples of argumentation structures. The main problem of argumentation lies in the perception of the types of argumentation structures: as soon as multiple, coordinative or subordinative argumentation was employed in compositions, the logic of the argumentative structure suffered. During the learning process the specific characteristics of argumentation need to be explained in greater detail. Thus far the Estonian teaching materials have discussed single argumentation, however, mostly neglected the topic of text coherence. </style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">47-56</style></section></record></records></xml>