<?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%">Jonas Kwadzo Kotoka</style></author><author><style face="normal" font="default" size="100%">Jeanne Kriek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXPLORING PHYSICS TEACHERS’ TECHNOLOGICAL, PEDAGOGICAL AND CONTENT KNOWLEDGE AND THEIR LEARNERS’ ACHIEVEMENT IN ELECTRICITY</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%">electricity teaching</style></keyword><keyword><style  face="normal" font="default" size="100%">learner views</style></keyword><keyword><style  face="normal" font="default" size="100%">student achievement</style></keyword><keyword><style  face="normal" font="default" size="100%">teacher views</style></keyword><keyword><style  face="normal" font="default" size="100%">technological pedagogical and content knowledge (TPACK)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April/2023</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1681287391.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</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 technological, pedagogical and content knowledge (TPACK) framework was developed incorporating content, pedagogical and technological knowledge. Studies used TPACK constructs and reported on teachers’ TPACK and student learning, but none explored the correlation between teachers’ TPACK and the achievement of their learners. This research followed an exploratory correlational research design involving 1423 Grade 11 learners and their 42 Physics teachers in a South African district after electricity was taught. A self-report questionnaire may not truly measure teachers’ TPACK, therefore, learners’ perceptions of their teachers’ use of technology were explored. The correlation between the Physics teachers’ TPACK and the achievement of their learners in electricity was established. Four validated research instruments were used, namely, the Learner Electricity Achievement Test (LEAT), the Learner Confirmatory Questionnaire (LCQ), the Teachers’ Technological, Pedagogical and Content Knowledge Questionnaire (T-TPACKQ) and the Learners’ Confirmation of the Teachers’ Technological, Pedagogical and Content Knowledge Questionnaire (LC-T-TPACKQ). Findings indicate a statistically significant difference between teachers’ views of their TPACK and the views of their learners. The correlation between teachers’ TPACK and the achievement of their learners was not statistically significant. These results can influence the professional development of teachers in respect of the use of technology in teaching.</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%">282-293</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%">Love Kotoka</style></author><author><style face="normal" font="default" size="100%">Jeanne Kriek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PREDICTION OF THE CORRELATION BETWEEN PROBLEM-SOLVING SKILLS AND CONCEPTUAL REASONING IN STOICHIOMETRY</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 load theory</style></keyword><keyword><style  face="normal" font="default" size="100%">conceptual reasoning</style></keyword><keyword><style  face="normal" font="default" size="100%">explanatory sequential research design</style></keyword><keyword><style  face="normal" font="default" size="100%">problem-solving skills</style></keyword><keyword><style  face="normal" font="default" size="100%">stoichiometry</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/2022/987-1662186893.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%">Learners underperform in stoichiometry as they lack conceptual reasoning of the underlying concepts and the ability to solve stoichiometric problems. Therefore, it was necessary to determine if there is a statistical correlation between problem-solving skills and conceptual reasoning in stoichiometry and if so, whether one can significantly predict the other. The theoretical framework is the cognitive load theory (CLT). This theory expects teachers to know where to focus their teaching and how to assess their learners’ work to avoid unnecessary overloading of the working memory, which might affect their performance. The explanatory sequential mixed-method research design was employed with 410 grade 11 Physical Science learners in their intact classes. The participants wrote the learner achievement test (LAT) and responded to a semi-structured interview. The learners’ test scores were then used to run a statistical test. The Pearson correlation and regression showed that the justifications given by learners for choosing correct or incorrect multiple-choice options were not due to chance, and the results of the learner interviews supported the learners’ performance in the test. Moreover, the findings indicated that there was a positive correlation between problem-solving skills and conceptual reasoning where statistically, conceptual reasoning predicted learners’ problem-solving skills using regression analysis. </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%">615-637</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%">Jeanne Kriek</style></author><author><style face="normal" font="default" size="100%">Annaretha Coetzee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DEVELOPMENT OF A TECHNOLOGY INTEGRATED INTERVENTION IN TERTIARY EDUCATION</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%">21st-century learning</style></keyword><keyword><style  face="normal" font="default" size="100%">fluid mechanics</style></keyword><keyword><style  face="normal" font="default" size="100%">Teacher beliefs</style></keyword><keyword><style  face="normal" font="default" size="100%">technology integrated lesson</style></keyword><keyword><style  face="normal" font="default" size="100%">tertiary education</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2016/987-1482502960.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">15</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%">It is expected of lecturers to integrate content knowledge with appropriate pedagogical approaches and select relevant technology to enhance student learning. However the selection of effective technology to support 21st-century learning in tertiary education could be time-consuming and complex since there is a plethora of technology available. The aim of this research was therefore to support lecturers by providing them with an evaluated technology-integrated intervention in fluid mechanics. Hence the objectives were to develop this technology-integrated intervention to support 21st-century learning for first-year physics students and to determine its effectiveness when presented by various lecturers. An exploratory case study research design guided the research. A design-thinking framework for technology-integrated lessons was used and included the Technological Pedagogical and Content Knowledge (TPACK) model. This research was done with two lecturers and 117 students from a University of Technology in South Africa. The data gathering tools comprised pre and post-tests, tutorials, observation schedules and questionnaires. Results indicated that student learning is affected by the way in which technology is used not only in schools, but also in tertiary education and that lecturer belief play a crucial role in the design process but also manifest when lecturers have to use a designed intervention. </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%">712–724 </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%">Achillefs Kapartzianis</style></author><author><style face="normal" font="default" size="100%">Jeanne Kriek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CONCEPTUAL CHANGE ACTIVITIES ALLEVIATING MISCONCEPTIONS ABOUT ELECTRIC CIRCUITS</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 change</style></keyword><keyword><style  face="normal" font="default" size="100%">conceptual change model</style></keyword><keyword><style  face="normal" font="default" size="100%">electric circuits</style></keyword><keyword><style  face="normal" font="default" size="100%">misconceptions</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June/2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2015/987-1437678688.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">13</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 study contributes to a growing literature that investigates vocational students’ conceptual understanding of electricity by proposing a multidimensional and pragmatic approach to conceptual change. Conceptual change model-based activities were designed in a six-stage conceptual change model and were incorporated into a four-week course. The effectiveness of these activities was measured in terms of changing these students’ misconceptions about simple electric circuits towards scientifically accepted ideas in terms of their revolutionary versus evolutionary nature and the extent of transfer of learning. Transformative mixed methods research design was used consisting mainly of a one-group pre-test post-test design with DIRECT Test 1.2 as a research instrument. Paired samples t-test analysis for 15 students’ test scores indicated that there was a statistically significant difference between students’ pre- and post-test scores. The results of the frequency analysis in both pre- and post-tests show a significant percentage drop in the number of students having the identified misconceptions. The majority of students during post pre-test interviews justified their answers incorrectly, but more than 80% answered correctly in the post post-test interview.</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%">298–315 </style></section></record></records></xml>