<?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%">Wenxiu Tang</style></author><author><style face="normal" font="default" size="100%">Yangyi Qian</style></author><author><style face="normal" font="default" size="100%">Hong Wang</style></author><author><style face="normal" font="default" size="100%">Jinju Wen</style></author><author><style face="normal" font="default" size="100%">Jiayi Huang</style></author><author><style face="normal" font="default" size="100%">Xintong Zhu</style></author><author><style face="normal" font="default" size="100%">Yangqian Wang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">STUDENTS’ CONCEPTUAL STRUCTURES REGARDING REDOX REACTION: COMBINING MULTIDIMENSIONAL SCALING AND HIERARCHICAL CLUSTER ANALYSIS APPROACHES</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">conceptual structure</style></keyword><keyword><style  face="normal" font="default" size="100%">hierarchical cluster analysis (HCA)</style></keyword><keyword><style  face="normal" font="default" size="100%">multidimensional scaling (MDS)</style></keyword><keyword><style  face="normal" font="default" size="100%">redox reaction</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%">February/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1709892821.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">23</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%">Redox reaction is a core chemical concept. However, its abstract nature makes it very difficult for students. Students’ conceptual structure reflects their mastery of concepts, which helps teachers implement targeted educational strategies. This study aimed to explore the conceptual structures of redox reaction held by students (grades 10 to 12) by employing MDS and HCA. A total of 606 students participated, with 195 students in 10th grade, 202 in 11th grade, and 209 in 12th grade. The results indicated that three-dimensional solutions were appropriate for the conceptual structures of 10th and 12th graders, while 11th graders demonstrated two-dimensional solutions. All students grouped the 15 concepts related to redox reaction into two large clusters: metrology and the redox reaction process. Moreover, both 10th and 12th graders further subdivided the 15 concepts into four subclusters: metrology, oxidation process, reduction process, and chemical reaction. Students’ conceptual structures were rational across all three grades. The conceptual structures of 10th and 12th graders were more refined than those of 11th graders, and there was no significant difference between the conceptual structures of 10th and 12th graders. 11th graders learned about electrochemistry and tended to confuse concepts related to redox reaction with those related to electrochemistry. </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%">164-174</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%">Min Qi</style></author><author><style face="normal" font="default" size="100%">Xinyang Hu</style></author><author><style face="normal" font="default" size="100%">Hualin Bi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">USING BAYESIAN NETWORKS FOR COGNITIVE DIAGNOSIS ASSESSMENT OF UPPER-SECONDARY SCHOOL STUDENTS UNDERSTANDING IN REDOX REACTION</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bayesian network</style></keyword><keyword><style  face="normal" font="default" size="100%">cognitive diagnostic assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">cognitive structure</style></keyword><keyword><style  face="normal" font="default" size="100%">redox reaction</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%">December/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1734897582.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">23</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 redox reaction is a core concept of upper-secondary school chemistry curriculum. Accurate diagnosis of students’ conceptual understanding of the redox reaction from a cognitive structure perspective is critical for enhancing their understanding of chemical concepts. This study utilized Bayesian networks to investigate the cognitive structures of Chinese students regarding the redox reaction. A total of 409 upper-secondary school students participated, with 227 in 11th grade and 182 in 12th grade. Seven cognitive attributes related to the redox reaction were identified, and their hierarchical relationships were mapped. The research process of cognitive diagnosis assessment of redox reaction based on Bayesian network was developed. The results indicated that Bayesian networks can effectively assess students’ cognitive structures of the redox reaction. Key attributes identified in students’ cognitive structures were &quot;electron transfer&quot;, &quot;oxidation reaction / reduction reaction&quot; and &quot;oxidability / reducibility&quot;. Furthermore, a comparison of the cognitive structures between 11th and 12th graders showed that 12th graders had a more advanced understanding with fewer conceptual gaps, while 11th graders demonstrated less developed cognitive pathways, which may be attributed to a lack of deep conceptual understanding.</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%">1243-1265</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%">Wenxiu Tang</style></author><author><style face="normal" font="default" size="100%">Xintong Zhu</style></author><author><style face="normal" font="default" size="100%">Yangyi Qian</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">APPLYING FACTOR ANALYSIS FOR ASSESSING KNOWLEDGE STRUCTURE OF STUDENTS IN GRADE 10: THE SUBJECT OF REDOX REACTION</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">chemistry education</style></keyword><keyword><style  face="normal" font="default" size="100%">factor analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge structure</style></keyword><keyword><style  face="normal" font="default" size="100%">redox reaction</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/2022/987-1662187210.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">21</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%">Redox reaction is an important concept in chemistry, and a well-organized knowledge structure of redox reaction is beneficial for concept learning. This study investigated the knowledge structure regarding redox reaction from 459 Grade 10 students. The pool of 15 redox reaction concepts was developed by content analysis, questionnaire survey, and interview. Six initial competing models with 15 concepts were identified via exploratory factor analysis (EFA) and paper-pencil test. Confirmatory factor analysis (CFA) was conducted to test and modify the six competing models according to the rating data of the students. As a result, six modified models fit the data well. However, the high inter-factor correlations indicate that the two- and three-factor models are the students' knowledge structures of redox reaction. The two-factor model is comprised of two distinct but correlated factors: the process of redox reaction and metrology. The three-factor model is comprised of three factors: the process of redox reaction, reaction ability, and metrology. The finding inflects the abstract relationships between the concepts related to redox reaction in students' minds. </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%">680-693</style></section></record></records></xml>