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Mathematics interest is highly relevant for students' academical and emotional development in the domain of mathematics. Thus, it appears alarming that students' mathematics interest decreases during the course of secondary school. Teacher self-efficacy is a central facet of teacher motivation and is assumed to be highly relevant for student mathematics interest. However, there is a paucity of research that investigates the longitudinal and indirect relations through which teacher self-efficacy relates to students' interest through their teaching behaviors in mathematics classrooms. Therefore, in the present longitudinal study we aim to contribute to research by identifying how teacher self-efficacy for student engagement contributes to students' mathematics interest in secondary classrooms through student- and teacher-reported support. We used a sample of mathematics teachers (n = 50) and their students (n = 959). Longitudinal data of three measurement waves collected from German ninth grade mathematics classrooms were included in the analysis. Results of latent-manifest multi-level analysis showed that teacher self-efficacy for student engagement at Time 1 (beginning of ninth grade) positively predicted student-perceived, but not teacher-perceived, teacher emotional support at Time 2 (beginning of tenth grade), which in turn positively predicted students' mathematics interest at Time 3 (middle of tenth grade). A possible implication for mathematics teachers' educational practice involves strengthening mathematics teachers' self-efficacy for student engagement by means of direct interventions and in-servive training for mathematics teachers. (ZPID).

Teaching effectiveness has been a prominent element in the success of the educational sector around the globe. The present study investigates the impact of adoption, ease of use, and teachers’ experience of artificial intelligence [AI] and the moderating role of students’ interest on the teaching effectiveness of Vietnamese universities. The study collected data from the students and teachers who are doing and teaching electrical and electronic engineering using survey questionnaires. The study also checks the validity and nexus among variables using smart-PLS. The outcomes indicated that the adoption, ease of use, and teachers’ experience of AI have a positive linkage with the teaching effectiveness of Vietnamese universities. The outputs also revealed that student interest significantly moderates this relationship. The study helps the policymakers in developing policies related to enhance teaching effectiveness using effective AI adoption.

Now more than ever, the world needs citizens comfortable with interdisciplinary problem- solving in Science, Technology, Engineering, and Mathematics (STEM) to address global environmental and health challenges, including extreme weather, habitat destruction, and air pollution, among others. However, many countries report an insufficient number of individuals with experience in STEM problem solving. In addition, recent research indicates low interest and knowledge in STEM fields. Government organizations, corporations, and nonprofits ask for pre-university STEM education that increases student interest and knowledge in STEM fields. In this mixed-methods study, we explored a potential relationship between interest and three-dimensional (3D) science and engineering knowledge. We analyzed student surveys, classroom artifacts, and teacher interviews to explore student scores and self-proclaimed interest. Results revealed six multi-faceted profiles, with all students reporting average or high interest and scoring low, average, or high on the 3D science and engineering assessment. In addition, four extreme student cases were selected to illustrate and articulate some of the complexities associated with possible linkages between 3D science and engineering knowledge and interest. Our results suggest that reciprocity between interest and knowledge development is more nuanced and complex than a simple correlation or relationship might suggest.

This study explores students’ interest in pursuing a career in translation in the rapid advancement of artificial intelligence and the growing need for translation curriculum reform. A mixed method was employed, involving 45 students from the English Literature Department at the University of Technology Yogyakarta (UTY) during the 2023-2024 academic year. Participants were selected using a stratified random sampling technique and included second-, third-, and fourth-year students. Data collection was conducted through questionnaires and semi-structured interviews. The questionnaire assessed students’ interest in translation careers, while the interview provided deeper insight, involving six respondents from the three batches, representing both positive and negative responses to the questionnaire items. The findings indicate that 26,6% of respondents are interested in a translation career, 55,6% are neutral, and 15,53% are not interested. Neutral responses were most common among second-year students and least common among fourth-year students, likely because higher-year students tend to focus more on career planning. The study also highlights the need to reform translation curricula by integrating machine translation into classroom instruction, as a computer assisted as well as automatic. The findings of this study suggest the need for further research on developing an AI-based model for teaching translation.

This research aims to investigate how university students in Malaysia and Oman perceive the teaching profession. It explores their interests in considering teaching as their career in the future. A quantitative approach was used with a sample of 463 participants from Oman and Malaysia to achieve these objectives. For the analysis, confirmatory factor analysis (CFA) through structural equation model (SEM) was applied to create comparative models while examining the similarities and differences between the two countries' models. The models present the leading factors that significantly influenced students’ choices or decisions in pursuing a career in education or teaching. From the findings and models, according to Malaysian participants, teaching workload was found to be the leading factor and the main concern in the field of teaching, while personal growth was the leading factor and concern among Omani participants. Significant recommendations were provided, and this paper has contributed to the global research on the ongoing struggles of what teachers are facing in terms of workload, stress, and professional development, with some implications drawn for future research.

This study aimed to examine the effects of a multi-day STEM program on students’ motivation toward STEM fields, using Exploratory and Confirmatory Factor Analysis, and to evaluate the psychometric properties of a new instrument developed in this study—“STEM Motivation Scale for Children”. A total of 549 students participated in the study, divided into experimental and control groups, with data collected at three time points. Factor analysis confirmed the structure of the instrument, identifying four latent dimensions: Interest for STEM field, Future Career in STEM, Preference for Practical Instruction, and Curiosity in STEM. Results revealed a statistically significant increase in factor scores within the experimental group following the intervention, with partial retention of the effects three months later. Exploratory and Confirmatory Factor Analysis (EFA and CFA) supported the theoretical structure of the instrument, and reliability and validity indicators were high. In conclusion, the STEM program positively influenced students’ motivation, while the questionnaire demonstrated satisfactory psychometric qualities for use in educational research.

Teaching effectiveness is a core issue in educational research; however, there is little consensus about the most important results of classroom teaching from an international perspective. The effectiveness of teaching has remained a ‘black box’ for a long time. In the secondary study described in this paper we used empirical data for Shanghai taken from the international Organization for Economic Co-operation and Development (OECD) study Global Teaching InSights (GTI) —initially the Teaching and Learning International Survey (TALIS) Video Study—which was based on videotaped direct observations of classroom teaching. Eighty-five junior high school mathematics teachers and their students in Shanghai were observed to explore the impact of specific teaching practices on students’ interest, self-efficacy, and mathematics achievement scores. The results revealed that social-emotional support and instruction quality were the key dimensions relating to the characteristics and differences of mathematics lessons in Shanghai. While the former had a significantly positive impact on students’ general mathematics self-efficacy, the latter had a significantly positive impact on students’ mathematics interest. Although specific teaching practices had no significant direct impact on students’ mathematics achievement scores, social-emotional support and instruction quality considerably influenced students’ academic performance in an indirect way via general self-efficacy.

PurposeThe study explored the impact of the King and Queen of Mathematics Initiative (KQMI) in promoting students’ interest in learning mathematics and improving their achievement. The specific objectives of the study focused on the impact of the initiative in promoting interest in mathematics, assessing the contribution of the initiative to students’ achievements and investigating challenges encountered by the initiative.Design/methodology/approachThe study used a case study design with a mixed-method approach. One ward secondary school was involved. The sample size was N = 79, where 77 were grade three students in a science class and two teachers. Data collection involved documentary review, observation and interviews. Data analysis employed both content analysis and a dependent t-test to determine the effect size of the initiative.FindingsThe findings revealed that KQMI had a significant impact on improving performance in mathematics among students (t (71) = −7.917, p < 0.05). The study also showed that male students improved their performance more than their counterparts throughout the KQMI. The mathematics teacher revealed that students still need assistance to solve mathematical questions with different techniques to develop the expected competencies.Research limitations/implicationsThe initiative was conducted only in one school, limiting the findings’ generalization. Also, the innovation faced different challenges, such as accessing adequate resources and students with little knowledge of mathematics, which the initiative aimed to address.Practical implicationsPedagogical innovations enhance the promotion of students’ interest in learning mathematics and hence improve their performance. Also, through pedagogical innovations, teachers improve their teaching skills and practices from students’ feedback.Originality/valueThe KQMI is a new pedagogical innovation modified from the existing innovations such as game-based method, task design, mobile learning and mathematics island.

We conducted a systematic review of empirical research focused on the experiences of female students in science, technology, engineering, and mathematics (STEM) during middle and high school Drawing on social identity theory, recent research was synthesized to explore how aspects of the social environment influence STEM identity development. Findings indicate that young women experience challenges to their participation and inclusion when they are in STEM settings. Additionally, we found that perceptions regarding who is part of the ingroup or outgroup of STEM fields can be changed through intervention and educational programs. We conclude with recommendations for theory, research, programs, and policy for STEM identity development among young women, informed by a social identity perspective.

Student perceptions of science teaching could be expected to differ in grade 6 compared with teaching in grade 9, as could student interest in science learning. To compare Estonian grades 6 and 9, lower secondary school student and science teacher perceptions of teaching/learning approaches as well as student perceived interests/enjoyment on science learning, an instrument was developed taken into account 18 different teaching approaches that could take place in science lessons. An analytical, exploratory structural equation modelling (ESEM) approach supported 4-factor models differentiating between teacher-centred and constructivist approaches for both teachers and students, each having acceptable model fits. Based on outcomes, a regression model was developed associating student interest to learn science with the frequency of teaching and learning approaches explored. Results indicated that approaches associated with teacher-centred approaches were those most frequently undertaken in science classes when compared with those seen as social constructivist and student-centred, both among science teachers and students. Regression analysis showed that there was a relationship between student interest/enjoyment towards science subjects and the frequency, in which different teaching and learning approaches took place in the classroom.