<?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%">Chia-Yu Liu</style></author><author><style face="normal" font="default" size="100%">Chao-Jung Wu</style></author><author><style face="normal" font="default" size="100%">Guo-Li Chiou</style></author><author><style face="normal" font="default" size="100%">Wing-Kwong Wong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A TOOL OF TECHNOLOGY-BASED LABORATORY ENABLED STUDENTS TO PRECISELY DESCRIBE SCIENTIFIC PHENOMENA </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%">mathematical modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">model-building behaviours</style></keyword><keyword><style  face="normal" font="default" size="100%">modelling activities</style></keyword><keyword><style  face="normal" font="default" size="100%">physics teaching/learning strategies</style></keyword><keyword><style  face="normal" font="default" size="100%">technology-based laboratory</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/2022/987-1656444199.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%">Proposing scientific descriptions is critical for individuals to cope with daily problems and acquire essential information. Nonetheless, few classes have enhanced students’ ability to describe facts of scientific phenomena. Thus, using a tool of technology-based laboratory, this research examined whether students’ scientific descriptions and mathematical modelling behaviours could be improved. The participants included 52 undergraduate students randomly assigned to the experimental and control group. Two prompts were developed to remind the experimental group that it is common to place ‘time’ along the x-axis and that mathematical modelling is important in physics. Results showed that as expected, all participants generated more propositions in scientific descriptions, especially the experimental group. However, contrary to the hypothesis, the participants did not propose more correct propositions and the effect of group was limited. Moreover, the hypotheses were partially supported that the participants used more image-based and mathematics-based representations to describe phenomena, and the proportion of participants whose propositional type was quantitatively increased, though no main effects of group were observed. Most participants adjusted their mathematical models by keeping slightly changing the coefficients/constants to fit the data, rather than applying relevant physics knowledge to revise models, illustrating their difficulties in connecting mathematical representations with actual phenomena.</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%">495-512</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%">Wing-Kwong Wong</style></author><author><style face="normal" font="default" size="100%">Kai-Ping Chen</style></author><author><style face="normal" font="default" size="100%">Hong-Ming Chang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A COMPARISON OF A VIRTUAL LAB AND A MICROCOMPUTER-BASED LAB FOR SCIENTIFIC MODELLING BY COLLEGE STUDENTS</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%">experimental design</style></keyword><keyword><style  face="normal" font="default" size="100%">MBL</style></keyword><keyword><style  face="normal" font="default" size="100%">scientific modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">slope motion</style></keyword><keyword><style  face="normal" font="default" size="100%">virtual lab</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/2020/987-1581270043.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%">This research aimed to explore the effects of a virtual lab (VL) and a Microcomputer-based Lab (MBL) on students’ performance in scientific modeling. A web-based virtual lab and a low-cost MBL were proposed to help first-year engineering students build scientific models. Empirical research was done in a slope motion experiment. The participants were 118 first-year engineering students in Taiwan, and they were divided into a VL group and an MBL group. From the results of the questionnaire, these groups of students thought that the systems were usable and easy to use, and they expressed positive attitudes towards the labs. The post-test’s average score was higher than that of the pre-test for both groups, and the average posttest score of the VL group was better than that of the MBL group. From the students’ learning sheets, many students successfully manipulated the experimental variables and built correct models after gradual revision of earlier models. According to the results of the empirical research, these systems helped the students understand the meaning of the experiment and increased students' interests with hands-on labs. A comparison of the results of these two groups\suggests the integration of VL and MBL to facilitate students’ learning.</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%">157-173</style></section></record></records></xml>