Professional certifications represent for many university degrees, especially postgraduate degrees, a recognition of their academic quality and the future employability of the graduates. This article contributes to the analysis of the impact of external accreditations on students’ perception of employability and satisfaction. We offer a case of study, a Master of Science (MSc) in Banking and Finance that became the first academic degree in Spain to obtain the two professional accreditations required for employees in financial institutions since 2019. A survey to a sample of students who graduated two academic years before and two years after the MSc was recognised is used to measure students' motivations for enrolment and satisfaction. The results provide significant evidence that professional accreditation became a key motivation for students to enrol the master, is associated with a more diverse geographical origin of students, and students highlight the higher quality and better coordination of the teaching staff.

The purpose of this study was to explore the factor structure of a measurement and to evaluate its internal reliability. Overall, 525 math-majoring elementary school teachers volunteered to participate in this study by answering online survey questions via Google Form. These samples were randomly partitioned into 262 participants for exploratory factor analysis (EFA) and 263 observations for confirmatory factor analysis (CFA). The EFA tended to largely prefer a four-factor solution, which was proven to explain over 68% of the variation in the data. Awareness, effectiveness, engagement, and opportunity were the provisional labels for these hidden variables. The CFA results verified and validated the four-factor model, with all test measures exceeding the specified thresholds, suggesting an acceptable and excellent fit. The results of this study, on the one hand, provide four key areas for realistic math teachers, educators, and policymakers to discuss as opposed to examining individual indicators, and on the other hand, they serve as a foundation for interested researchers to conduct additional analyses, such as multivariate linear regression or complement for cluster analysis.

Crises like COVID-19 affect organizations as well as employees' well-being. Leaders, in this sense, have a critical role to play in reducing the challenges and promoting a healthy workplace. With employees feeling overwhelmed and anxious to cope, leaders should provide the appropriate support and guidance. This quantitative study examined the relationship between different leadership styles, which are participative, directive, supportive, and Laissez-Faire, and teachers' well-being in the United Arab Emirates (UAE). The study adds insights into the UAE's public school context, where 101 teachers were surveyed following a snowball sampling technique. Findings revealed that Laissez-Faire and directive styles were the most dominant among the four leadership styles examined. In terms of the relationships between leadership styles and well-being, correlation and regression analyses were done through SPSS, and findings from the Generalized Linear Model analysis revealed that although the four styles correlated positively with well-being, the participative leadership style had the most decisive influence. The results showed that none of the demographics had any significant influence on well-being, and no differences in well-being in terms of demographics were reported.

This study aims to identify students' styles of career choices. The second aim is to investigate what factors influence career choice style. The third aim is to determine whether all students of education programs want to become teachers one day. This research model is a relational model that uses multinomial logistic regression. The research population was Universitas Negeri Semarang (UNNES) students of education programs from five faculties in 2018. The number of people in the population was 4,531, and the participants were 220 students. The data analysis consisted of the multinomial logistic regression method. The results showed that the model met the requirements for use. Factors affecting career decisions are gathering information, locus of control, decision-making speed, and aspiration of an ideal career. Career choice has five styles: rational, intuitive, spontaneous, dependent, and avoidant. Accordingly, the spontaneous style is most commonly used by students. The other result shows that the factor that most influences students in choosing a style is pursuing an ideal career.

In today's World, data-driven methods are behind the determination of potential action plans in every area of life. These data-driven methods help individuals or policymakers to figure out the strengths and weaknesses on the subject that are worked on and to make a comparison to the best practices. Thus, actions can be taken immediately on the specific factors that have a huge impact on the topic investigated. In the educational area, countries are using the same approach to measure, monitor, and improve the quality of education by attending international studies. In this study, for both Turkish and Singaporean students, Artificial Neural Network (ANN) model is performed to predict the students' mathematics achievement and to identify factors that have a high impact on achievement using Trends in International Mathematics and Science Study (TIMSS) in 2019 with the data of 3,586 Turkish and 4,750 Singaporean students. The reason behind comparing the results of Turkey to Singapore is that Singapore is the best-performing country in terms of mathematics achievement in the TIMSS in 2019. The model results show that the top two crucial factors in both countries are the frequency of absenteeism from school, and students’ confidence in mathematics with the accuracy of 75%. In addition, relevant policy implications are given based on the importance level of significant factors.

This experimental research aimed to examine the effectiveness of the transformative learning program (TLP) on the active global citizenship (AGC) of 60 undergraduate students who had joined student affairs engaging in community development, working with a volunteer spirit, and community service. The participants were randomly assigned into experimental and control groups (n=30 for each group). The data were collected using the AGC Scale with a reliability of .968. Assessments were conducted three times: before, after the experiment, and follow-up. The TLP consisted of five steps: (a) Review social issues and crises contributing to disorientation; (b) Reflect critically to reach solutions; (c) Reformulate the meaning of perspectives to plan a course of action based on new perspectives; (e) Accept and improve new practices; and (f) Evaluate. MANOVA was performed to analyze the data. The results showed that students in the experimental group had a higher mean score of AGC than the control group, both after treatment and at follow-up (p < .05); the mean scores of the AGC of the experimental group after treatment and at follow-up were higher than the mean score before treatment (p < .05); and the mean score of AGC of the experimental group at follow up was higher than the score after treatment with no statistical significance. In conclusion, educational personnel could use this TLP to promote AGC for university students.

Heritage education is an integral component of general and higher education programs. It helps students understand the national culture and arouses their love for the country. The quantitative study was conducted with the participation of 822 students in the FPT University system. Multiple linear regression analysis and Pearson correlation results help determine the relationship between heritage education’s learning outcomes, including Vovinam martial arts and traditional musical instruments, and students’ patriotic and nationalistic attitudes. Accordingly, promoting learning outcomes related to Skills, Attitudes, and Behaviors positively impacts the development of students’ patriotism and nationalism. The study affirms the role of heritage education programs in the education system in Vietnam, especially at the university level. It confirms the necessity of this type of education at all stages of learners’ development, especially in the research context at FPT University.

This meta-analysis study investigates the effect of computer-based tests on motivation. The random effect model is the basis for calculating the summary effect, and it is found that the 30 articles obtained through the PRISMA method, which consist of four parts, namely identification, screening, eligibility, and included, can be generalized. Data analysis was performed using R studio and OpenMEE. Based on the research results, the p-value <.05 was obtained, so it was concluded that using a computer-based test significantly affected motivation. In the moderator analysis, it was found that computer-based tests were most effective for intrinsic motivation for the motivation variable, university students for the participants variable, and the country of Iran for the region variable. Evaluation of publication bias using the funnel plot and regression method shows no publication bias, proving that the 30 articles analyzed represent all existing studies on computer-based tests.

University students may encounter situations where they perform poorly in a course and contemplate dropping out. This intention to drop out of a course manifests not only in thoughts or ideas but also in a cognitive self-evaluation of their performance and skills, enabling them to reflect on the possibility of dropping out. In this sense, there is a shortage of instruments that evaluate the intention to drop out of a course, so the aim was to develop and validate the Course Dropout Intention Scale (CDIS). Data from two samples (N1 = 198; N2 = 675) were used; the first was for the EFA, and the second was for the CFA, GRM, and SEM. The one-factor model was derived from the EFA and confirmed in the second sample, exhibiting appropriate goodness-of-fit indices. Similarly, the GRM obtained adequate fit indices; all items discriminated adequately, and the difficulty parameter had a monotonic increase. The SEM model of the effect of satisfaction with studies on the CDIS showed a negative and statistically significant effect. Thus, it was demonstrated that the CDIS is a robust instrument in its psychometric properties and empirical evidence with other variables.

Inclusive teaching development has provided opportunities for children to study it with special needs to study in the school. Although some parents prefer to enroll their children in schools specifically designed for those with special needs, inclusive learning allows these individuals to participate in the learning process alongside their peers with disabilities. Through inclusive teaching, teachers aim to help children develop their social skills. This research aimed to analyze the influence of visionary leadership and organizational commitment on teacher performance under the visionary leadership of school principals in the implementation of inclusive schools in Malang City. The utilized research methodology was a mixed sequential exploratory, involving data collection through interviews, observations, documentation, and questionnaires. Qualitative data analysis employed content analysis, while quantitative data underwent multiple linear regression inferential statistical analysis. The findings indicated that visionary leadership and organizational commitment influence the instructional efficacy of teachers when working with children having special educational requirements. Therefore, the recommendation to school principals persistently enhances their leadership competencies and reinforces their dedication to cultivating a vibrant teaching environment that promotes inclusive educational advancements.

This study investigates the impact of external variables, technological pedagogical and content knowledge (TPACK) self-efficacy, and facilitating conditions on teacher adoption of online teaching technology during the COVID-19 pandemic. It employs explanatory research to characterize the effect of external variables on the variables of the technology acceptance model. 240 high school teachers filled out Google Forms survey questionnaires for six research variables and analyzed by the SmartPLS program. The result indicates that attitude and perceived usefulness significantly and positively influence behavioral intention. Perceived usefulness and ease of use have a strong positive effect on attitude. Furthermore, perceived ease of use has a considerable effect on perceived usefulness. Perceived usefulness and ease of use are not significantly influenced by external variables. Facilitating conditions significantly positively affect behavioral intention, whereas TPACK self-efficacy negatively affects behavioral intention.

Institutions of higher education generally employ both lecture-based and project-based approaches to instruction. This study aims to investigate which aspects of lectures and project-based instructional environments contribute to “deep” and “surface” approaches to student learning. We collected and compared survey data from undergraduate students taking a civil engineering course in which they were assigned to a section taught with lecture-based instruction (n = 181) or with project-based instruction (n = 142). Data analysis was performed after controlling for the effects of the motivational goal orientations of students. A positive correlation can be found between deep learning and higher levels of investigative culture and student involvement in the project-based classroom. Additionally, we found that higher levels of task orientation in the project-based classroom had an inverse correlation with a “surface approach”. We discussed the value of an investigative and participatory learning atmosphere for student approach to learning and its curricular implications for the design of project-based and lecture-based instruction.

Due to irregular daytime routines, chronotype changes, side jobs and exam periods, after the COVID-19 pandemic, university students are trying to find new balances in their everyday life. The aim of the present study is to analyze the impact of daytime chronotype and hour preferences for the circadian rhythm on academic achievement among university students, considering their sleep habits and class frequencies in daytime and nighttime classes. Furthermore, this study aimed to analyze the differences in chronotype preferences with regard to age, sex, and academic schedule students are attending. A sample of 87 university second-year Psychology and Management students attending the academic year 2021/2022 after the governmental relief measures of the COVID-19 pandemic completed a 13-item questionnaire on sleep habits and preferences. Further variables encompassed sleep behaviors, such as age, sex, daytime and nighttime classes, as well as academic achievement. The results of the study showed that university students had a higher preference for the morningness type. Additionally, chronotype traits explained 30% (values from regression analysis) of academic achievement but did not directly impact academic results. The sleep&amp;amp;amp;amp;ndash;wake cycle diverged among age groups because the youngest participants (19&amp;amp;amp;amp;ndash;21 years old) and older participants (35&amp;amp;amp;amp;ndash;44 years old) reported higher academic scores during the first semester and the full academic year. No significant differences were identified with respect to sex. There is a lack of literature explaining the effect of sleep hours on academic achievement among students after stay-at-home rules during the COVID-19 pandemic. Thus, it is imperative to understand the difficulties students face with regard to their studying hours, working shifts, and daytime or nighttime classes to create a sustainable university system that attends to students&amp;amp;amp;amp;rsquo; needs and necessities.

This study investigated the extent to which demographic variables, principal support and teacher self-efficacy contribute to the collective teacher efficacy. In the study, a non-probability purposive sample was used, which included 761 teachers working in compulsory primary schools in all parts of the Republic of Croatia. The first part of the administered online questionnaire provided data on sociodemographic characteristics of the respondents, while in the second part, the following scales were used: The Principal Support Scale, The Teacher Sense of Teacher Efficacy Scale and The Collective Teacher Efficacy Scale. The results of the performed regression analyses show that: 1) the demographic variables - workplace, promotion to a higher rank and principal support have a predictive value in explaining teachers’ self-efficacy; 2) an average number of students per class, promotion to a higher rank, principal support, teacher engagement and teaching strategies have a predictive value in explaining collective teacher efficacy. The findings of this study will be discussed in terms of their potential impact and future research.

This study aims to analyse the relationship between critical thinking and the learning experience provided by instructors through active learning models, specifically Project-based Learning (PjBL) and Simulation-based Learning (SBL), to the potential achievement of academic performance in undergraduate students. The main analysis technique employed in this research was logistic regression, with additional analysis techniques including discriminant validity, EFA, as well as Kendall’s and Spearman’s correlation, serving as a robustness check. The results of this study indicate significant correlations and effects of critical thinking (CT) on academic performance. Higher levels of CT are associated with a greater likelihood of achieving academic excellence, as indicated by the cum laude distinction, compared to not attaining this distinction. Experiences of receiving PjBL (0.025; 6.816) and SBL (0.014; 14.35) predicted the potential for improving academic performance to reach cum laude recognition, relative to not achieving this distinction. Furthermore, other intercept factors need to be considered to achieve cum laude compared to not achieving cum laude. We recommend that policymakers in higher education, instructors, and others focus on enhancing critical thinking and utilizing both Pub and SBL as learning models to improve students’ academic performance.

This study aims to analyze the effects of working memory capacity and learning styles of prospective mathematics teachers on their ability to solve higher-order thinking problems. In the present study, learning style was considered students' tendency to learn visually or verbally. In addition, the types of higher-order thinking skills (HOTS) problems are complex and non-complex. Multiple regression tests were used to analyze the effects of learning style and working memory capacity. An ANOVA test was also conducted to analyze the ability of each group to solve each HOTS problem. In addition, one hundred twenty-six prospective mathematics teachers voluntarily participated in this study. The study found that learning styles only affected visual problems while working memory capacity (WMC) only affected the ability to solve complex problem-solving skills. Furthermore, WMC affected the ability to solve complex HOTS problems, not non-complex ones. The ability of visual students to solve HOTS problems will greatly increase when the problems are presented in visual form. On the other hand, the obstacle for visual students in solving verbal problems was to present the problem appropriately in visual form. The obstacle for students with low WMC in solving complex HOTS problems was to find a solution that met all the requirements set in the problem.

Listening is a language skill that is acquired in childhood but can be improved throughout the educational process. It is of great importance in both educational and everyday life. The objective of this study is to identify the importance given to listening training by students, assess their listening skills, and determine what can be done to improve their listening skills to top levels. The study group consists of 50 Turkish language teachers from various primary and secondary schools in Turkey and Northern Cyprus. A 9-question interview form was used to collect data. The data obtained were analyzed using content analysis, frequencies, and percentages. Based on the results, most Turkish language teachers revealed that their students do not listen sufficiently to their teachers, and the reasons for this could be related to the school, teachers, curriculum, or the students themselves. Additionally, the teachers stated that it is essential to emphasize the importance of listening to students in the first place, and it could be beneficial to increase the number of listening activities in the course books and assess and evaluate listening skills more frequently.

<p>&lt;p style=&quot;text-align:justify&quot;&gt;In the early stages of adopting online learning, both learners and teachers displayed resistance, but the COVID-19 pandemic has forced a widespread shift to digital learning. To facilitate this transition, there is a growing focus on highlighting the effectiveness of online learning, which directly impacts learning outcomes. This study investigates online learning effectiveness through an integrated framework that considers online assessment practices and online course design as independent variables, with online learning support as a moderating variable. Understanding the effectiveness of online learning is crucial as hybrid learning becomes the &amp;quot;new norm&amp;quot; in education, combining online and offline methods for teaching the digital generation. Using a quantitative research design involving 232 students at Universiti Kebangsaan Malaysia, the study found that online assessment practices and course design significantly influence students perceived learning outcomes in an online learning environment. Additionally, online learning support positively moderates this relationship. These findings offer a comprehensive perspective on how online assessment practices, course design, and support systems contribute to the quality of higher education in Malaysia amidst evolving educational practices.&lt;/p&gt;</p>

Critical thinking is a skill that enables individuals to keep pace with changes and enhances crucial competencies for contemporary competitiveness. Many researchers have studied learning management approaches to develop students' critical thinking, resulting in a substantial body of knowledge but lacking clear systematic summaries. The researchers aimed to (a) examine the effect sizes and research characteristics influencing students' critical thinking, and (b) compare the effect sizes of learning management approaches after adjusting with propensity score matching from 108 graduate research published between 2002 and 2021. Data were collected using research characteristics recording forms and research quality assessment questionnaires. Effect sizes were calculated using Glass's method and analyzed through random effect, fixed effect, and regression meta-analysis. Findings revealed that (a) research on developing learning management approaches influences students' critical thinking at a high level (d ̅ = 1.669), with nine research characteristics, including the field of publication, courses, total duration, teacher learning process, learning media, measurement and evaluation, research design, research statistics, and research quality, statistically significantly influencing students' critical thinking, and (b) after adjustment, inquiry-based learning significantly influences students' critical thinking. Recommendations for developing students' critical thinking include learning activities that encourage problem exploration, expanding thinking through collaborative analysis, and applying diverse media and activity sheets tailored to context suitability.
 

Analytical thinking is crucial for developing problem-solving, decision-making, and higher-order thinking skills. Many researchers have consistently developed learning management models to enhance students' analytical thinking, resulting in extensive knowledge but lacking clear systematic summaries. This study aims to: (a) explore the effect sizes and research characteristics influencing students' analytical thinking, and (b) compare the effect sizes of learning management models after adjusting for propensity score matching. In exploring 131 graduate research papers published between 2002 and 2021, the research utilized forms for recording research characteristics and questionnaires for assessing research quality for data collection. Effect sizes were calculated using Glass's method, while data analysis employed random effects, fixed effects, and regression meta-analysis methods. The findings indicate that (a) research on learning management models significantly impacts students' analytical thinking at a high level (d̅ = 1.428). Seven research characteristics, including year of publication, field of research, level, duration per plan, learning management process, measurement and evaluation, and research quality, statistically influence students' analytical thinking, and (b) after propensity score matching, learning through techniques such as KWL, KWL-plus, Six Thinking Hats, 4MAT, and Mind Mapping had the highest influence on students' analytical thinking. Recommendations for developing students' analytical thinking involve creating a learning management process that fosters understanding, systematic practical training, expanding thinking through collaborative exchanges, and assessments using learning materials and tests to stimulate increased analytical thinking.