Entrepreneurs play an important role in improving a country’s economy, shown by the increase in young people involved in startup businesses, including students. The young generation needs motivation through a good education to support their intention. Therefore, this study aimed to examine the role of entrepreneurship education in increasing entrepreneurial intention among business students. The data were obtained from 240 business students in Indonesia using a questionnaire. The study was conducted using descriptive methods and Structural Equation Modelling (SEM). Hypothesis testing showed that perceived desirability is the strongest variable on the entrepreneurial intention of business students. Furthermore, the R-Square test results showed that entrepreneurial intentions are positively and significantly influenced by perceived desirability and feasibility, the propensity to act, and entrepreneurship education by 61.12%. The remaining 38.88% is influenced by other variables outside this study. The key impact of this research is revealed perceived desirability and feasibility, the propensity to act and entrepreneurship education give positive entrepreneurial intention among undergraduate students. Higher education has responsibility to nurture young generation to learn more about entrepreneurship. The increasing number of entrepreneurs can support government to improve the nation’s economy and society.

Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the agricultural stream in vocational colleges (KV). This research study aims to explore and identify the existing competency elements of agricultural educators in KV. This study used a study population comprising 243 respondents of agricultural educators in KV. To answer the research question, the data analysis was done by Partial Least Squares - Structural Equation Modeling (PLS-SEM). This study is a study built to observe the relationship between the latent constructs studied. These constructs consisted of exogenous and endogenous constructs. In this study, exogenous constructs comprised value constructs, social roles, self-image, motives, traits and constraints. At the same time, endogenous constructs involved constructs of skills and knowledge. To ensure that the construct of this study gives meaning to the reflective measurement model, it was evaluated based on internal consistency reliability and validity. Regarding the framework, some indicators that did not qualify were dropped based on factor loading and average variance extracted (AVE). From the analysis conducted, 16 indicators were dropped since they did not meet PLS-SEM requirements. The total number of items retained was 71 indicators. At the final stage of this study, the evaluation model was implemented to form a framework involving the evaluation of the constructs linked to each other.

Education based on social entrepreneurship (SE) practices is of importance at this time to shape the personality of students who are more responsible towards the surrounding environment. This SE requires high motivation from students to ensure success in education based on social entrepreneurship can be achieved. However, the factors that support the motivation for social entrepreneurship are still poorly identified, particularly in the setting of undergraduate students in Malaysia. Data were collected from 15 selected Malaysian universities involving undergraduate students who are actively involved in the Enactus program. A set of questionnaires was administered to 294 respondents online. The data analysis involved confirmatory factor analysis (CFA) to measure the construct validity of the measurement model, and covariance-based structural equation modelling (CB-SEM) to establish the relationship between the independent variables and dependent variables. The results revealed self-efficacy and entrepreneurship education provide a relationship in motivation toward social entrepreneurship by undergraduate students. However, social support does not relate to motivation toward social entrepreneurship. Overall, this study adds to the notion of factors that influence social entrepreneurship motivation by supplementing the literature in the areas of educational management and entrepreneurship. In practice, this study contributes significantly to the formation of government policies to further strengthen the motivation of social entrepreneurship that can enhance the community economy and local communities.

In the last decade, vocational education in Indonesia has experienced problems in making career decisions for students, which was exacerbated by the COVID-19 pandemic. Therefore, this research aims to examine the role of self-efficacy and mediate digital literacy, social environment, and counselling guidance in influencing career decision-making. This is an ex-post-facto research design with data collected from a sample of 566 vocational education students in Indonesia through a questionnaire method distributed online using Google Form. The collected data was then analyzed using structural equation modelling (SEM) with path analysis and bootstrap methods. The results revealed that self-efficacy plays a vital role in mediating digital literacy and guiding students in career decision-making. On the other hand, digital literacy, guidance, and counselling have a significant direct effect on self-efficacy and career decision-making. Meanwhile, the social environment only has a significant direct effect on students’ career decision-making. The real role of all elements of vocational education in strengthening self-efficacy, growing digital literacy, monitoring social environment interactions, and providing counselling guidance to students is needed to increase optimism and the quality of career decision-making in vocational education.

Mathematics anxiety has always been an interesting topic to study and discuss in the world of education. This study aimed to (1) investigate the impact of teacher roles, mathematics content, and mathematics anxiety on learning motivation, and (2) explore how students manage mathematics anxiety as a stimulus in learning motivation. This research used mixed methods with embedded concurrent design. The research sample was 100 respondents. The questionnaire instrument was arranged based on a Likert scale with 5 answer choices. This study used a structural equation model and confirmatory factor analysis as data analysis methods. The research findings indicated that: (1) a significant direct impact emerged between mathematics anxiety and students' learning motivation, and there was an indirect impact between the teacher's role and mathematics content on learning motivation; (2) students could manage mathematics anxiety when they were in optimal anxiety or positive anxiety so that they could overcome mathematics anxiety as a stimulus for achievement and deconstruct anxiety into motivation according to experience and personal resources. Results of this study confirmed that the statements about mathematics anxiety which always has a negative impact on motivation and learning achievement is not universal, because mathematics anxiety does not always have a negative impact on motivation and learning achievement if this anxiety is managed effectively.

COVID-19 pandemic forces training for principals to be conducted online. This study aims to evaluate the context, input, process, response, study, behavior, and outcome to determine the effectiveness and make recommendations for training. The approach used in this study was a mixed method with a concurrent embedded design and a qualitative method as the main method. The subjects of this study were the principals, committees, and instructors. Data were collected through interviews, observations, and questionnaires and analyzed using Miles and Huberman's model, descriptive analysis, and a t-test. The results show that e-training is effective in context, input, and process. Response, learning, and attitude assessments prove that knowledge, skills, and attitude have improved. Participants will be able to implement the experience gained and impact school quality improvement. This study contributes to the combination of the two evaluation models proven to produce a complete result. The study for the e-training recommends needed assessment before the training, the activity before the training to acquire the skills in using the learning management system, and the monitoring and evaluation after the training.

The present research aimed to test an Amharic version of the multi-dimensional Work Task Motivation Scale for Teachers (WTMST), which measures the five pillars of university instructors’ motivation toward teaching and student evaluation tasks based on self-determination theory (SDT). Therefore, the WTMST offers the first instrument to measure all five motivational elements, and today it is one of the most applicable instruments to assess teachers’ motivation. An Amharic version of the WTMST for teaching and student evaluation tasks was adopted and assessed in large-scale data (N=1,117). Our findings demonstrate excellent reliability and construct validity (convergent, discriminant, divergent and factorial). Besides, the results of the model comparisons provided that out of the four theoretically competing models (single-order factor, correlated factor, higher-order factor and bi-factor models), the bi-factor model was the most-fitted one used for measurement invariance across various groups. Results also suggest that the factor structure of the WTMST for both teaching and student evaluation tasks demonstrate consistency across gender (men, women), university types (research, applied, and general university), age and experience in teaching. Therefore, the WTMST for teaching and student evaluation tasks may be valid in Ethiopian higher education settings.

The pandemic era has caused changes in the learning system. The situation demanded online learning and triggered students to have learning difficulties. The research aims to examine the impact of social media, social environment, and student learning potential on student learning difficulties. This study utilizes a quantitative approach. The respondents were university students experiencing online learning in West Java, Indonesia. A questionnaire validated by four experts was distributed to 539 of them. Accommodating structural equation modeling (SEM) by evaluating the measurement and structural models was used in data analysis. This study revealed that the instrument had good construct validity and reliability. A good instrument will produce a good measurement process so that the instrument can get the data needed. Hypothesis testing shows that high media activity can inhibit students from learning. However, social media activity directly influences learning difficulties. Meanwhile, the variables of learning potential and social environment positively influence student learning difficulties directly or indirectly. There are a few things to note on learning potential, social environment, and social media to delve into their influences on students' learning difficulties.

Several supporting factors are alleged to influence the performance of teachers. This study aimed to describe the relationship between each research variable and teachers’ performance, either directly or indirectly. This research was conducted through surveys and quantitative approaches that included correlational research types. The research subjects were Hindu religion teachers in 119 state junior high schools, consisting of 517 teachers. The sample of 256 people was determined using the Krejcie and Morgan formula and the Warwick and Lininger formula. The samples from each sub-population were determined with the proportional random sampling technique, and the personal sampling of sample members was determined with the use of lottery techniques. The data were collected using a five-point Likert scale model questionnaire with high validity and reliability. The data analysis technique used in this study was structural equation modelling. The conceptual model met the standards of comprehensive goodness-of-fit requirements. The results of the study show that the average levels of Hindu principals’ leadership, the emotional intelligence of teachers, supervision of school superintendents, school culture, teachers’ work motivation, and the performance of Hindu religion teachers are in the high category. In addition, the hypothesis testing results show there is a significant direct and indirect relationship between the variables in the state junior high school.

This study used the structural equation modeling (SEM) approach to test a model that hypothesized the influence of self-efficacy, self-control, emotion, and engagement on student academic performance. The structural equation modeling model was developed to link all the study variables with a literature review to describe the interrelationship. Data collected were from 413 college students in their second year. The results show that self-efficacy, self-control, emotion, and engagement predict student academic performance. And through emotion and student engagement, both self-efficacy and self-control predict student academic performance indirectly. Practically the measures used in this study give more information about the learning environment in higher education settings than those usually come from traditional practices faculty received in the classroom, such as student rating forms and feedback. The main findings of this study have some implications for higher education, theory development, measurement, and future research.

The increasing sophisticated learning technology and COVID-19 have pushed the teaching-learning process to use pedagogy, andragogy, and cybergogy approaches. The current research aims to investigate the relationship between the practices of these three approaches and student self-regulated learning. The structural equation model used indicates that pedagogy practices may affect the andragogy practices in teaching-learning process. Pedagogy approach shows no direct effect but has an indirect effect on students’ self-regulated learning. The indirect effect comes from the pedagogy-andragogy continuum and the impact of pedagogy instruction on cybergogy practices. Andragogy practices also gives a significant impact on students’ self-regulated learning and how the students use learning technology in cybergogy approach. Andragogy and the continuum of cybergogy promote students’ self-regulated learning. These results indicate that pedagogy-andragogy continuum can have an interplay with cybergogy. The interplay of these approaches may encourage students’ self-regulated learning. The current research can be a baseline to construct a new approach in teaching-learning process and its instructions in the classroom.

The study aims to point out direct and indirect correlations between others' roles on career self-efficacy, and career self-management. This research uses a multifactor correlational model, samples were 342 students. The research instruments are Career Self-Management Self-Efficacy Scale (CEDLE-Scale), Career Decision Self-Efficacy (CDSE Short-Form), and Role Model Influence Career Decisions Scale (RIMICDS). Data were analyzed using path analysis with AMOS 23. The findings show that 1) the variable of others' role directly influences career self-efficacy; 2) career self-management directly influences the career self-efficacy on career self-efficacy; 3) others' influence on career decision directly influences the career self-management, and 4) others' role on the career decision indirectly influences self-efficacy moderated by career self-management. Support, guidance, and inspiration from others will ease someone in deciding on a career. Guidance for managing a career will improve career self-efficacy. It will then positively contribute to the self-confidence to pursue the career.

In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital literacy skills need to be trained to adapt to the demands of the world of work. This article aims to present the results of a study on factors that can improve the digital literacy practice for vocational students as a roadmap for digital learning in the current era. The sampling technique used purposive random sampling of 8 Vocational Schools in East Java Province, Indonesia. The number of respondents in this study amounted to 355 second-year students. The study has found that online learning, motivation, and technology introduction are influenced by students' digital literacy practices, while teacher readiness and infrastructure must be mediated by online learning. The findings in this study indicate that collaboration from various parties is needed from teachers, school administrators, and policymakers in planning learning that focuses on students' digital abilities.

The aim of this exploratory case study is to investigate the impact of the pandemic as an unexpected situational variable on university instructors’ perceptions and attitudes towards technology integration, as well as their foresight about the future of education in post Covid-19 era. The data for the study came from autobiographies, narratives, and opinionnaires. The findings revealed that the degree of familiarity with educational technology and eagerness to integrate technology into education made a difference in academicians’ adaptation to the new mode of delivery. As for their predictions for the future, an increase in the use of educational technology not only in teaching, but also in testing and assessment is expected. Participants also emphasized a need to enhance the infrastructure to avoid any further technical issues and offer continuous development opportunities for teachers and students to become familiar with new technologies.

Digital technologies in all forms have become ubiquitous in our media-rich, modern information society, but the connection between their use and information literacy is not always clear. This paper examines the impact of daily use of digital technologies on the reading and information literacy skills of 15-year-old students in Slovenia, based on data from the Programme for International Student Assessment (PISA) 2018 study. The study examines PISA 2018 variables related to Information and Communication Technologies (ICT), as well as a reading task involving the use of ICT. The sample consists of 2612 Slovenian students with a gender distribution of 50.8% girls and 49.2% boys. The study explores students' experiences, enjoyment, self-efficacy, autonomy, and independence in using ICT and learning about its use and identifies two groups of students: one group that is curious and another that is cautious. The results of confirmatory factor analysis (CFA) and structural equation modelling (SEM) show that the constructs of enjoyment, self-efficacy, learning, autonomy, and independence are highly/strongly correlated but have a low/insignificant impact on information literacy skills.

This study arises from the need to scientifically investigate how university students deal with their emotions in school situations. Therefore, the objective was to develop an instrument that measured university students' level of emotional regulation during academic activities and evaluate its validity and reliability. After a thorough literature review of the definitions of the constructs, the Emotional Regulation Scale in Academic Activities (ERAAS) was developed. The first version of ERAAS consisted of 18 Likert-type items. A total of 1975 university students in various departments responded to the instrument. Two groups of experts evaluated its content validity. Validity and reliability analysis was performed. According to the EFA, three factors were found: emotional regulation, psychologic inadequate emotional regulation, and physiological insufficient emotional regulation. The final version of the scale consisted of 11 items, the validity and reliability of which could be demonstrated for further research purposes.

Service-learning (SL) emphasizes the fusion and integration of community service and academic learning, while Physical Education (PE) is oriented towards community health and well-being, aligning with Sustainable Development Goals. The study's primary objective is to discern the benefits perceived by PE students when engaged in SL courses and to test the correlation between benefits and the motivational climate they experience. Additionally, the research explores potential gender-specific variations in students' attitudes. The research was conducted with a survey on a sample of 58 students responding to a Motivational Climate in Physical Education Scale (MPCES) and the SErvice LEarning Benefit Scale (SELEB), which assesses the motivation of students and their perceptions of SL benefits. Descriptive statistics was used to analyse the data. Pearson's correlation coefficient was used to test the relationship between the core constructs - SL benefits and student motivation, and t-tests to evaluate gender differences in SL benefits. Key findings underscore that students primarily perceived the greatest advantages from SL in the domain of knowledge application, with comparatively lower scores in general life skills. Notably, female students, on the whole, exhibited higher ratings in both SL benefits and student motivation compared to their male counterparts. Nonetheless, specific exceptions emerged in certain sub-scales, including social relatedness and ego climate within the MPCES scale, as well as critical thinking within the SELEB scale. According to the results, it is suggested that cultivating a student-centered learning environment can augment engagement and motivation in the realm of physical education (PE). Furthermore, the delineated gender differences offer valuable insights for educators, highlighting the need for tailored approaches to accommodate the diverse preferences and requirements of male and female students.

It is known that the COVID-19 pandemic led to learning losses among students both domestically and internationally. Therefore, situational and casual factors were examined to discover and understand them so that learning loss could be reduced or recovered from. This research aimed to: (a) study learning loss situation; and (b) develop and examine the causal model of learning loss among lower secondary school students affected by the pandemic. The sample included 650 Grade 7-9 students selected by multi-stage random sampling. The data was collected using a self-developing questionnaire as a research instrument. The data was analyzed using descriptive statistics, independent samples t-test, ANOVA, and structural equation modeling (SEM) through the LISREL program. The findings were: (a) Lower secondary school students had an average academic achievement learning loss at the moderate level with the highest mean of learning loss in mathematics (M=3.012, SD=1.074), and an average learning characteristics learning loss at the medium level (M=2.824, SD=0.842). Several situational factors had a different effect depending on the school size with a statistical significance of .05.; and (b) the causal model showed the learning loss of grade 7-9 students was consistent with the empirical data (χ2=46.885, df=34, p= .069, GFI=0.991, AGFI=0.964, CFI=0.999, RMSEA=0.024, SRMR=0.014).