<?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%">Hong-Cheng Liu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE EFFECT OF AI-SUPPORTED SOCIOSCIENTIFIC TEACHING ON UNIVERSITY STUDENTS' ATTITUDES AND ARGUMENTATION SKILLS</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%">argumentation skills</style></keyword><keyword><style  face="normal" font="default" size="100%">artificial intelligence-supported teaching</style></keyword><keyword><style  face="normal" font="default" size="100%">attitudes toward socioscientific issues</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">quasi-experimental design</style></keyword><keyword><style  face="normal" font="default" size="100%">socioscientific issues</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2026</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://journals.indexcopernicus.com/search/article?articleId=4913742</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">25</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%">Socioscientific issues (SSI) require students to apply scientific knowledge while taking social and ethical dimensions into account. In this process, both attitudes toward SSI and argumentation skills are important. This study examined the effects of AI-supported SSI teaching on university students’ attitudes toward SSI and their argumentation skills. Additionally, the relationships between these two variables were examined. A pre-post test quasi-experimental design was used in the study. The participants were 247 undergraduate students majoring in Public Administration at a university in southern Taiwan. The experimental group received AI-supported SSI teaching for 18 weeks, while the control group received teacher-led SSI teaching. Data were collected using the ATLSIS and the PASS. ANCOVA and correlation analysis were employed. The results showed that the experimental group scored significantly higher than the control group on all dimensions of attitudes toward SSI and on argumentation skills. The largest increase was determined in Connectedness to Scientific Endeavor dimension (in attitudes) and evaluating counterarguments (in argumentation skills). The results suggested a somewhat more focused pattern of correlation between attitudes toward SSI and argumentation skills following the intervention. The findings suggest that the AI-supported SSI teaching condition was associated with higher attitudes toward SSI and higher perceived argumentation skills.</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%">522-537</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%">Laila Ayaichi</style></author><author><style face="normal" font="default" size="100%">Aziz Amaaz</style></author><author><style face="normal" font="default" size="100%">Abderrahman Mouradi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ACCEPTANCE OF AUGMENTED REALITY VIA MOBILE DEVICES BY HIGHER EDUCATION STUDENTS IN PHYSICS PRACTICAL WORK</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%">augmented reality</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">intention</style></keyword><keyword><style  face="normal" font="default" size="100%">physics</style></keyword><keyword><style  face="normal" font="default" size="100%">Practical work</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%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August/2025</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://journals.indexcopernicus.com/search/article?articleId=4575673</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">24</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%">Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students’ intention to adopt AR, using the Technology Acceptance Model (TAM) as a theoretical framework. A comparative quantitative approach was applied to a sample of 756 undergraduate and graduate physics students, including 334 with prior AR experience and 442 without. Data were collected through a structured questionnaire based on validated instruments and distributed via Microsoft Forms. Results indicate significant differences between the two groups: students with prior AR exposure reported more favorable perceptions regarding its usefulness, ease of use, general attitude, and intention to adopt it. Structural equation modeling (SEM-PLS) confirms that perceived ease of use positively affects perceived usefulness, which in turn moderately influences attitude, the primary predictor of behavioral intention. These findings validate the relevance of TAM in explaining and predicting AR adoption in physics education and suggest that prior experience, while influential, is only one of several factors affecting the successful acceptance of AR in a university setting.</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%">611-623</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%">Branko Anđić</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ARTIFICIAL INTELLIGENCE AND DEEPFAKE LEARNING IN HIGHER 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%">Artificial Intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">deepfake learning</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February/2025</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1740920869.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">24</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%">Higher education appears to be undergoing the most significant transformations due to the integration of artificial intelligence into teaching, learning, feedback provision, assessment, writing, and the growing role of AI in student research. Several aspects of AI in education have already been studied, such as institutional adoption policies and guidelines (Jin et al., 2025), Intelligent Tutoring Systems, and Automated Assessment and Feedback (Ramadhan et al., 2024). On the other hand, certain topics, such as deepfakes and their consequences for learning, remain underexplored. Deepfakes refer to the use of AI to create media—such as photos, audio, and video content—that appears authentic but is, in reality, artificially generated. </style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Editorial</style></work-type><section><style face="normal" font="default" size="100%">4-6</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%">Dwi Setyo Astuti</style></author><author><style face="normal" font="default" size="100%">Sajidan Sajidan</style></author><author><style face="normal" font="default" size="100%">Suciati Suciati</style></author><author><style face="normal" font="default" size="100%">Mohammad Masykuri</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EVALUATION OF THE PSYCHOMETRIC PROPERTIES OF INSTRUMENTS FOR ASSESSING UNIVERSITY STUDENTS’ ANALYTICAL THINKING SKILLS IN ZOOLOGY COURSE</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%">analytical thinking skills</style></keyword><keyword><style  face="normal" font="default" size="100%">construct validity</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">psychometric evaluation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2025</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://journals.indexcopernicus.com/search/article?articleId=4713280</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">24</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 need for an explicit and validated instrument to assess analytical thinking skills in Zoology courses presents a critical divide in educational assessment. The research aims to evaluate the psychometrics of the instrument for assessing students' analytical thinking skills in the Zoology course. The main problem identified is the lack of an instrument that explicitly assesses analytical thinking skills in the context of Zoology and limitations in construct validity and measurement reliability. Data were collected from 642 students from various universities using stratified random sampling. The psychometric evaluation includes descriptive analysis, content validity with Aiken's V, construct validity through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), and internal reliability with Cronbach's Alpha and Composite Reliability (CR). The results indicate that the instrument has good validity and reliability. Cronbach's Alpha and CR values are more than .70, indicating high internal consistency. Discriminant validity with an Average Variance Extracted (AVE) value above .50 confirms the differences between factors. Furthermore, exploratory factor analysis identifies five factors that align with the Marzano model. Demographic factors such as age, Grade Point Average (GPA), university, involvement in extracurricular activities, and international experience significantly affect students' analytical thinking skills. The research's implications extend to the development of more accurate instruments for measuring analytical thinking skills in higher education and to providing new insights into the factors that contribute to the development of students' thinking skills.</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%">1033-1048</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%">Aziz Amaaz</style></author><author><style face="normal" font="default" size="100%">Abderrahman Mouradi</style></author><author><style face="normal" font="default" size="100%">Moahamed Erradi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A MODEL FOR PHYSICS PRACTICAL WORK USING MOBILE LEARNING AND LEARNING MANAGEMENT SYSTEM (LMS) IN HIGHER EDUCATION: DESIGN, VALIDATION, AND EVALUATION</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%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">LMS</style></keyword><keyword><style  face="normal" font="default" size="100%">mobile learning</style></keyword><keyword><style  face="normal" font="default" size="100%">physics education</style></keyword><keyword><style  face="normal" font="default" size="100%">Practical work</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%">October/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1729493711.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%">Despite the importance of physics practical work in higher education, its implementation is often hampered by various constraints and problems. Technology, such as learning management systems (LMS) and mobile learning, can offer solutions to some of these problems and enrich students' learning experiences. Therefore, this research proposes a model called Practical Works in Physics via Mobile Learning and LMS (PWP-MLMS) that exploits features of LMSs and mobile devices to overcome specific challenges encountered in physics practical works and improve students' performance in these works. The model was designed, validated, and evaluated within the teaching context of a Moroccan university. To assess the model's effectiveness,128 students in the Bachelor of Education, Physics-Chemistry specialization were randomly divided into two groups of 64 students each: an experimental group using the model for practical work on the topic of rectification and filtering in the electronics module, and a control group following the conventional method for the same practical work. The results of the evaluation showed that the proposed model can significantly reduce the time required to complete the practical work, have a positive influence on the students' technical skills, and improve the quality of their laboratory reports.</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%">809-825</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%">Markus Sebastian Feser</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">STUDENTS’ AND STUDENT TEACHERS’ SENSE OF BELONGING TO SCIENCE: WHAT DO WE KNOW SO FAR?</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%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">identity development</style></keyword><keyword><style  face="normal" font="default" size="100%">research in science</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%">June/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2021/987-1622790547.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%">Forming a sense of belonging to others is a fundamental need of humans as social beings (Baumeister &amp; Leary, 1995). Meeting this fundamental need crucially influences individuals’ intrinsic motivation (Ryan &amp; Deci, 2000) and identity development (Wenger, 1999). Given this, a growing number of studies have investigated the extent to which university students’ success and wellbeing in science education is related to their sense of belonging to science. This research has brought greater clarity to university students’ development in science education; however, numerous aspects of university students’ sense of belonging to science remain understudied. In particular, there has been insufficient research on how sense of belonging to science might moderate or influence initial science teacher education. Therefore, this editorial aims to provide an overview of the major research findings that address students’ and student teachers’ sense of belonging to science and to inspire future research in science (teacher) education.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Editorial</style></work-type><section><style face="normal" font="default" size="100%">340-343</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%">Kilic Depren, S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">PREDICTION OF STUDENTS’ SCIENCE ACHIEVEMENT: AN APPLICATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES AND REGRESSION TREES</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%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">PISA</style></keyword><keyword><style  face="normal" font="default" size="100%">Science Achievement</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2017/987-1539418761.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</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%">Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students’ science achievements in order to identify the improvement areas using PISA 2015 dataset. To achieve this aim, Multivariate Adaptive Regression Splines (MARS) and Classification and Regression Trees (CART) approaches were used and these approaches were compared in terms of model accuracy statistics. Since Singapore was the top performer country in terms of science achievement in PISA 2015 survey, the analysis results of Turkey and Singapore were compared to each other to understand the differences. The results showed that MARS outperforms the CART in terms of measuring the prediction of students’ science achievement. Furthermore, the most important factors affecting science achievements were environmental optimism, home possessions and science learning time (minutes per week) for Turkey, while the index of economic, social and cultural status, environmental awareness and enjoyment of science for Singapore.</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%">887-903</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%">Alba Guzmán</style></author><author><style face="normal" font="default" size="100%">Diana Oliveros</style></author><author><style face="normal" font="default" size="100%">Mauricio Mendoza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SCIENTIFIC COMPETENCIES: A MECHANISM TO FAVOUR THE INCLUSION OF WORKING MARKET PROFESSIONALS</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%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">labour market</style></keyword><keyword><style  face="normal" font="default" size="100%">research training</style></keyword><keyword><style  face="normal" font="default" size="100%">scientific competences</style></keyword><keyword><style  face="normal" font="default" size="100%">scientific competencies</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2017/987-1497156148.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">16</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%">Institutions of Higher Education seek to instil in their students the scientific competencies throughout the guidance of different included courses in their curriculums. However, the assimilation of diverse methodologies evidence the lack of development of those scientific competencies necessary for professionals to be graduated and therefore required by the labour market. This research examines the research competencies of students of higher education sample (N=189) to determine their appreciation towards scientific competencies they consider to have developed in both their educational processes. The results prove the perception of subjects in respect to the development of interpersonal and intrapersonal skills, decision-making, problem-solving and acquisition of scientific competences, the basic ones; use of technology, appropriation of new knowledge, self-learning and search of information, specialized competences, drafting of reports, design of articles, presentations, development of degree works and definition of new projects. The application of ANOVA detects that there are significant differences according to the gender of subjects on competencies referred to the search of physical information where women stand out, and reading comprehension of documents in English where men stand out. Besides, it’s demonstrated that these competences contribute to students’ critical thinking. IES required to include research as mechanism to strengthen the education.</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%">175-187</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%">Bülent Cavas</style></author><author><style face="normal" font="default" size="100%">Hamide Ertepinar</style></author><author><style face="normal" font="default" size="100%">Gaye Teksoz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SUSTAINABILITY IN SCHOOLS OF EDUCATION IN TURKEY: IN THE WORDS OF LECTURERS</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%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">sustainability assessment questionnaire</style></keyword><keyword><style  face="normal" font="default" size="100%">university lecturers</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2015/987-1447523384.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%">By means of its major contribution to the values, health and wellbeing of society, higher education has an important role for constructing a sustainable society. Schools of educations, however, have an important role for growing future teachers capable of making sustainable decisions and the ability to integrate sustainability into their lectures. Accordingly, this research has been designed to find out higher education institutions’ implementation and scholarly activities related to sustainability in the words of lecturers. The results have been obtained through the application of an adapted version of the Sustainability Assessment Questionnaire (SAQ). The sample of the study consisted of 7 schools of education in Turkey and 232 lecturers. Results showed that, sustainability concept has rarely been taught and the institutions do not include the concept either into their structure or the mission. </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%">469–482 </style></section></record></records></xml>