<?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%">Vanessa Álvarez</style></author><author><style face="normal" font="default" size="100%">Tarcilo Torres</style></author><author><style face="normal" font="default" size="100%">Zulma Gangoso</style></author><author><style face="normal" font="default" size="100%">Vicente Sanjosé</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A COGNITIVE MODEL TO ANALYSE PHYSICS AND CHEMISTRY PROBLEM-SOLVING SKILLS: MENTAL REPRESENTATIONS IMPLIED IN SOLVING ACTIONS</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%">cognitive model</style></keyword><keyword><style  face="normal" font="default" size="100%">expert-novice differences</style></keyword><keyword><style  face="normal" font="default" size="100%">mental representations</style></keyword><keyword><style  face="normal" font="default" size="100%">problem-solving skills</style></keyword><keyword><style  face="normal" font="default" size="100%">solving actions</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%">October/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2020/987-1602524564.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">19</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%">In physics and chemistry, the development of problem-solving skills is necessary to become an expert. A simple cognitive model to analyse such development is proposed and tested. An exploratory research was conducted with expert professors and students in initial and advanced years. A think aloud procedure was used to obtain relevant data while the participants tried to solve undefined, open problems. Solving these problems required a particular skill representative of expertise: modelling reality using science. More than 1350 solving actions were collected and related to the mental representations elaborated, developed and inter-related by solvers. The proposed model was able to account for expert-novice differences in terms of the respective distributions of solving actions among the mental representations. Large differences appeared in the mental representation of Conceptual scientific Model. In addition, advanced and initial students showed similar and significant averages of unproductive actions, while experts took very few. Experts showed high convergence in their distributions of actions among the mental representations. If the outcomes were replicated with higher external validity, the model could help researchers to analyse the cognitive mechanisms in problem-solving, and teachers to better focus their efforts on specific students’ lacks.</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%">730-746</style></section></record></records></xml>