<?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%">Ning Wang</style></author><author><style face="normal" font="default" size="100%">Aik-Ling Tan</style></author><author><style face="normal" font="default" size="100%">Wu-Rong Xiao</style></author><author><style face="normal" font="default" size="100%">Feng Zeng</style></author><author><style face="normal" font="default" size="100%">Jiong Xiang</style></author><author><style face="normal" font="default" size="100%">Wei Duan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE EFFECT OF LEARNING EXPERIENCES ON INTEREST IN STEM CAREERS: A STRUCTURAL EQUATION MODEL</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%">interest in STEM careers</style></keyword><keyword><style  face="normal" font="default" size="100%">learning experiences</style></keyword><keyword><style  face="normal" font="default" size="100%">Social Cognitive Career Theory</style></keyword><keyword><style  face="normal" font="default" size="100%">STEM careers perceptions</style></keyword><keyword><style  face="normal" font="default" size="100%">STEM self-efficacy</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2021/987-1629707739.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</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%">Learning experiences can affect students' interest in STEM (science, technology, engineering, and mathematics) careers. Applying the social cognitive career theory, this study tested and compared the effect size and effect mechanism of formal learning experiences (FLE) and informal learning experiences (ILE) on 1133 tenth-grade students' interest in STEM careers (ISC) through a paper questionnaire survey. The results of structural equation model analysis showed that: 1) The total effect of ILE on students' ISC is much greater than that of FLE; 2) ILE, STEM self-efficacy (SSE) and STEM careers perceptions (SCP) can directly affect students' ISC; FLE and ILE can also indirectly affect students' ISC through the mediating role of SSE and SCP. The analyses suggest that in order to improve students' ISC, STEM education (especially informal STEM education) should be strengthened, both formal and informal education should pay attention to the cultivation of students' SSE and SCP.</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%">651-663</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%">Chia-Pin Kao</style></author><author><style face="normal" font="default" size="100%">Kuen-Yi Lin</style></author><author><style face="normal" font="default" size="100%">Hui-Min Chien</style></author><author><style face="normal" font="default" size="100%">Yu-Tsang Chen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ENHANCING VOLUNTEERS’ INTENTION TO ENGAGE IN CITIZEN SCIENCE: THE ROLES OF SELF-EFFICACY, SATISFACTION AND SCIENCE TRUST</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%">citizen science</style></keyword><keyword><style  face="normal" font="default" size="100%">science volunteers</style></keyword><keyword><style  face="normal" font="default" size="100%">Social Cognitive Career Theory</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</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/2020/987-1586941480.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 was carried out at the Science Volunteer Program 2018, which is run by Taiwan’s Ministry of Science and Technology. The purpose of the research was to understand the effects of self-efficacy, satisfaction, and science trust on science volunteers’ intention to continue volunteering. The research drew on the Social Cognitive Career Theory (SCCT) to test how social cognitive variables affect volunteers’ intention to continue engaging in events and with organizations. A total of 156 volunteers taking part in the program completed a questionnaire measuring Self-efficacy, Satisfaction, Trust, and Intention. A structural equation model (SEM) was developed, and the proposed effects on the variables were tested using SEM procedures. The results of the SEM analysis found that there were positive effects between (a) Self-efficacy and Satisfaction, (b) Self-efficacy and Intention, (c) Satisfaction and Intention, and (d) Trust and Intention. The discussion highlights implications for science volunteer managers who are not only in a position to increase volunteers’ behavioral intention to continue their engagement in volunteer work, but also to facilitate interventions to boost volunteering in Taiwan.</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%">234-246</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%">Jingying Wang</style></author><author><style face="normal" font="default" size="100%">Mingyue Yang</style></author><author><style face="normal" font="default" size="100%">Beibei Lv</style></author><author><style face="normal" font="default" size="100%">Feixiong Zhang</style></author><author><style face="normal" font="default" size="100%">Yonghe Zheng</style></author><author><style face="normal" font="default" size="100%">Yihong Sun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">INFLUENCING FACTORS OF 10th GRADE STUDENTS’ SCIENCE CAREER EXPECTATIONS: A STRUCTURAL EQUATION MODEL</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%">10th grade students</style></keyword><keyword><style  face="normal" font="default" size="100%">influencing factors</style></keyword><keyword><style  face="normal" font="default" size="100%">science career expectations</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</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%">August/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2020/987-1597214794.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%">Science career expectations can be affected by personal science beliefs and social supports. Framed in Expectancy-Value Models, this research studied the influence of science beliefs (science interest belief, self-efficacy belief and value belief) and social supports (parents and teachers) on students’ science career expectations by the survey of 798 10th grade students. Based on Structural Equation Model, it was found that: 1) science interest belief, self-efficacy belief, value belief and parents’ support can directly predict students' expectations of science careers; 2) the effect of student’s perception from parents and teachers support on science choice preferences and career engagement are mediated through the effects on students’ interest, self-efficacy and value in science. Therefore, teachers and parents should enhance students’ science beliefs and identity for the improvement of their science career expectations.</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%">675-686</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%">Dilek Sultan Acarli</style></author><author><style face="normal" font="default" size="100%">Melek Yaman Kasap</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXPLANATION OF HIGH SCHOOL STUDENTS’ SMOKING BEHAVIOR: A STRUCTURAL EQUATION MODEL APPROACH WITH THE THEORY OF PLANNED BEHAVIOR</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%">Health Education</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</style></keyword><keyword><style  face="normal" font="default" size="100%">Theory of Planned Behavior</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2016/987-1473430674.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">14</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%">Smoking is a worldwide problem that threatens people’s health. The average age of smokers has decreased with each passing day. Thus, studies focusing on preventing children or teenagers from starting smoking or studies aiming to help people quit smoking are one of the most effective ways of the fight against smoking. In order to prevent smoking behavior of young people it is necessary to thoroughly examine the reasons of such behavior. In this study, smoking behavior of high school students was examined in the framework of Planned Behavior Theory, which is a socio-psychological theory (TPB, Ajzen, 1985). With the structural equation model, which was constructed by taking TPB components into account, factors affecting students’ smoking behavior were determined. Theory of Planned Behavior has explained the smoking behaviors of the participants in 72%. It was seen that the most important TPB component that affects students’ behavior is attitude, which is followed by subjective norm and perceived behavior control, respectively. The results indicate that one should work on attitude first and foremost, and thus on behavioral beliefs in order to make changes in the students’ tendency to smoke, in other words, in their behavior. </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%">172-182</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%">Tsui-Fen Chang</style></author><author><style face="normal" font="default" size="100%">Cheng-Min Chao</style></author><author><style face="normal" font="default" size="100%">Bor-Wen Cheng</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">FRAMEWORK AND VERIFICATION OF A BLENDED E-LEARNING SYSTEM BEHAVIORAL INTENTION MODEL AMONG CLINICAL NURSES</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%">blended learning</style></keyword><keyword><style  face="normal" font="default" size="100%">nurse perceptions</style></keyword><keyword><style  face="normal" font="default" size="100%">nurses education</style></keyword><keyword><style  face="normal" font="default" size="100%">structural equation model</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%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2016/987-1479543930.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">14</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%">As the various applications of Internet and information communication technology (ICT) grow rapidly, the education and hospital institutions provide more distance learning programs, which also makes the research on e-learning more important. However, disadvantages in e-learning have been identified. Blended e-learning systems (BELSs) are considered effective alternative learning approaches. This research proposes a conceptual model to explain the factors affecting nurses’ behavioral intention to use a blended e-learning system (BELS). This research integrated perceived risk and the technology acceptance model to hypothesize a theoretical model for explaining and predicting learners’ behavioral intention to use a BELS. Self-report questionnaires were distributed to local community hospitals, regional hospitals, and medical centers in Central Taiwan. To confirm this research hypothesis, data were collected 682 nurses, with a response rate of 97.4%. Using structural equation modeling (SEM), the results show that perceived risk, perceived ease of use, and attitude influenced BELS behavioral intention. Perceived ease of use, and perceived usefulness substantially influenced use attitude. In addition, the path coefficient of perceived risk on attitude was non-significant. On the basis of the results, hospital institutions can devise better strategies for developing their blended e-learning system. </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%">733–743</style></section></record></records></xml>