Private universities in Indonesia need to urgently enhance the lecturers' organizational citizenship behavior (OCB), especially in overcoming a transition period of learning patterns after the COVID-19 pandemic from online to offline. Therefore, this research explores employability, personality, and talent management affect OCB and proves job involvement mediates employability, personality, and talent management influences OCB. It was conducted through a survey using a Likert scale questionnaire with 230 participants of lecturers from Indonesian private universities. Path analysis supplemented by descriptive and correlational analysis was used as a data analysis technique. The results showed that employability, personality, talent management, and job involvement significantly affect OCB. In addition, job involvement mediates employability, personality, talent management influences OCB. Therefore, a new empirical model regarding employability, personality, and talent management affect OCB with job involvement mediation was developed. Accordingly, researchers and practitioners can utilize for the model in their future activities.

This article aims to identify the psychological factors of students that correlate with the smart risk-taking behavior of high school students in Indonesia. The data in this study were distributed to 227 students from 3 (three) regions in Indonesia and evaluated using the Partial Least Square Structural Equation Modeling (PLS-SEM) analysis technique. This study found that students' self-confidence was the biggest factor influencing the increase in smart risk-taking behavior, followed by the intention to learn chemistry and teacher support responses. These three factors were found to positively and significantly influence smart risk-taking behavior. However, we found that the smart risk-taking behavior of high school students in Indonesia is still poor. Therefore, it is necessary to have a learning strategy to utilize information technology in chemistry learning. We made several contributions, such as (a) developing a conceptual framework of psychological factors that can increase students' smart risk-taking behavior in chemistry learning that has not been extensively researched and developed by previous researchers; and (b) mapping out how the three psychological factors of students can be maximized to increase smart risk-taking behavior. For this reason, this research is expected to provide practical and academic contributions that can be used as a reference for bank management and further research.

The researcher assessed the subject teachers’ levels of satisfaction and/or dissatisfaction using the Herzberg Two-Factor Theory. The study assesses employee motivation and hygiene, as discussed in the first part of the study about exploring the socio-demographic profile and job satisfaction level among teachers in Alaska. Frederick Herzberg (1923–2000) was a well-known author, and his work was praised by the Harvard Business Review. His theory has been widely accepted by many different groups and studies, with many people adapting and applying the theory to business management. For many years, teachers have been leaving school districts, particularly in Alaska, and this project seeks to investigate the causes of this phenomenon. Running a school is like running a business, except your clients or customers are students and parents. You must be able to choose what type of education they require. Schools have a system structure that is like a business. A school district that oversees several schools is analogous to a conglomerate that oversees a group of businesses. The study was conducted in the Bering Strait School District, in northwest Alaska, which serves fifteen isolated villages and two islands. Various methods including survey questionnaires, interviews and data gathering, were used and implemented. Out of 30 targeted respondents, 13 had high hygiene and high motivator factor (HHHM) scores and were further analyzed through interviews, with the data gathered subjected to thematic analysis. It was noted that some of the factors that affected the respondents in leaving their school are professional-related reasons, professional growth, job stability, physiological growth, no consistent reliable childcare options or childcare, very cold weather, and emotional reasons. Lack of these factors can influence the participants to seek such services elsewhere—from another workplace that can provide them with these services, and thus give them comfort, and peace of mind as well.

Pedagogical content knowledge (PCK) consists of a set of understandings, knowledge, skills, and dispositions necessary for effective performance in specific teaching and learning situations. Using Scopus, EBSCO, and Web of Science databases, the study examines the progress of the PCK in science teacher education between 2011 and 2021. In total, 59 articles were reviewed, and 13 were selected according to the inclusion criteria. Among the findings, it stands out that the articles emphasize a series of tools used when teaching applied sciences, such as the use of educational technologies beyond the textbook or the integration of students' thinking. The articles state that PCK transcends subject knowledge and leads to subject knowledge for teaching. Finally, the literature has tried to answer how science teachers use PCK in the classroom, demonstrating strategies and practical value, both of which are vital for the functioning and application of their educational work.

As the globe gradually entered the post-pandemic phase, electronic portfolio practises during the COVID-19 pandemic should be examined for future implementation. During the lockdown, electronic portfolio use was observed in higher education institutions by urging the provision of teaching and learning in a virtual mode. Under these conditions, the study analyses empirical e-portfolio practices and proposes a co-design model for effective e-portfolio implementation. This study is based on a systematic review, which included searching for and retrieving 221 papers from academic paper databases in English, Chinese, and Spanish; systematic screening using the Rayyan tool and the PRISMA model; and finally, extracting 12 publications, which were analysed by VOS Viewer and Nvivo, focusing on collaboration. The data collected allows for gathering several patterns of collaboration in e-portfolio practice. Based on the results obtained, a co-design strategy is suggested, which includes collaborative frameworks in e-portfolio implementation processes such as the community of inquiry (CoI) and community of practice (CoP). The co-design strategy provides the formulation of implementation recommendations related to collaborative e-portfolio. Conclusions reflect on utilising e-portfolios collaboratively in higher education settings by presenting a co-design strategy that is supported by the CoI and CoP frameworks.

The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students’ motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a non-equivalent control group design of a pre-test-post-test type. The study found that the use of chatbot-driven e-classes on the Smart Sender platform increased student motivation, improved their English language proficiency in reading and language usage, and enhanced their engagement within L2 e-classes. Students expressed their appreciation for the ease of use and usefulness of this chatbot-based tool for improving their English language skills. The findings showed that the scores for motivation, engagement, and English language proficiency increased for both the experimental and control groups from pre-test to post-test, with a large effect size observed for the experimental group and a medium effect size observed for the control group. The statistically significant difference in the mean scores between the experimental and control groups indicates the positive impact of incorporating gamified chatbot-driven sessions within L2 e-classes on the Smart Sender platform.

The aim of this study was to investigate the effect of collaborative learning on learners’ communicative strategies in English for specific purpose (ESP) tour guide training course. The 12-week study was conducted using a quasi-experimental design with a pre-test and post-test, following the instruction of twelve topics in the ESP language training course. A total of 60 ESP language learners participated in the study. The experimental group was instructed using collaborative learning in the ESP tour guide language training and the control group was taught using a lecture-based approach. Data from the communicative strategies questionnaire were collected to assess the effectiveness of collaborative learning on learning communicative strategies in the ESP context. The results of the study showed that the experimental group was significantly higher than the control group on both the oral problem coping strategy scale and the listening problem coping strategy scale of the communicative strategies scale in the ESP environment. Based on the findings of the study, collaborative learning is effective in enhancing the language learners' communicative strategies in tour guide training course. Moreover, the study suggests that there should be a critical reflection on the ESP training course currently offered for tour guide language learners.

Teacher well-being is a stimulating topic frequently appearing in studies over long periods. Teachers are typically exposed to stress that, when addressed, can lead to low morale and positively impact their work. This study examined the relationship between job satisfaction and well-being among preschool teachers in Selangor. We used a quantitative research method and correlational research design to test the hypotheses and answer the research questions. The current study involved 977 government preschool teachers selected using a cluster random sampling method. After data cleaning, a data set of 610 respondents was used for this study. This study used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using AMOS for data analysis. SEM Analysis showed that job satisfaction positively influences teachers' well-being. However, our results also showed that the subconstruct of job satisfaction with students did not significantly influence preschool teachers' well-being.

Knowledge-based economy is an economic model students need to be prepared for a future economic model that uses knowledge as its main resource. Therefore, this study developed and validated instruments for constructing knowledge-based economy readiness among undergraduate students. This study used an online questionnaire with 120 respondents of economic education students in educational universities in East Java, Indonesia, for exploratory factor analysis and 417 respondents for confirmatory factor analysis. Then, statistical analysis was conducted using exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. This study first developed five factors of knowledge of economics, readiness for economic challenges, readiness for education, readiness for infrastructure, and readiness for innovation, consisting of 27 items. However, one item was removed because the loading factor was below .50. Consequently, 26 items were retained because the loading factor was significantly greater than .50. The Cronbach's alpha value for each item of the knowledge-based economy readiness construct was >.60 and met all goodness of fit index criteria, which means that it meets the requirements and can measure the construct of knowledge-based economy readiness. Since this study meets the validity and reliability requirements of the constructs leading to knowledge-based economy readiness, these results will help students prepare for the current and future knowledge-based economy. They can be used in developing economic education curricula in higher education.

The iNaturalist application has been gaining traction in both biodiversity research and education. Increasingly more research is being carried out, looking into using the iNaturalist application in biology education, to promote biodiversity and educate students about this topic. We used the PRISMA systematic literature review method to examine research carried out using the iNaturalist application in biology education by searching Web of Science and Scopus, and including citizen science in the process. We searched through the iNaturalist forum, where users contribute research performed using iNaturalist. We found that an increasing number of articles have been published on this topic over the years. Researchers are using iNaturalist to improve BioBlitz activities, to enhance outdoor education activities, and to help make herbaria. Summarizing the work performed in this area, we suggest guidelines for including and preparing the iNaturalist application in a school context to be used by teachers and researchers alike.

Many education and learning experts currently recommend the flipped classroom model as an alternative to learning after the COVID-19 pandemic. This study aims to explore the impact of the flipped classroom model on social skills and problem-solving skills for cadets. This research used a sequential mix method involving 50 maritime students in semester 7 of the Engineering Study Program at the Maritime Sciences Polytechnic Makassar, South Sulawesi, Indonesia. Researchers used two main instruments, namely problem-solving skill tests and interviews. Furthermore, in the quantitative analysis, the researcher ran paired sample t-tests and one-way Multivariate Analysis of Covariance (MANCOVA) using the SPSS 25.00 program. In addition, researchers also analysed qualitative data from interviews using thematic analysis techniques. The results showed that the flipped classroom model proved to have a positive effect on the problem-solving skills of maritime students. Other findings state that the cadets also respond positively to the flipped classroom model. Researchers recommend that teachers use the flipped classroom model, especially in dealing with learning in the post-pandemic era, like today.

Based on institutional theory, this study explores the causal relationship between teacher professional identity, perceived institutional norms, and teachers’ conformity behavior in colleges and universities in Hunan Province. A questionnaire survey was conducted on 500 teachers from two universities in Hunan Province. The reliability and validity test results and structural equation modeling analysis show that the professional identity of college teachers positively affects their conformity behavior, and that perceived institutional norms partially mediate the relationship between teacher professional identity and teacher conformity behavior. The research enriches the application of institutional theory in university organization and provides an empirical basis for universities to improve teachers’ conformity behavior.

This study investigated the influence of CThink4CS² Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS² Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were collected using the Computational Thinking Skill Test (CTST) which consisted of algorithmic reasoning, abstraction, decomposition, and pattern recognition constructs. A total of 73 students were in the treatment group (n=39) and control group (n=34). Experimental data were described by means of descriptive analysis and inferential analysis employing two-way MANOVA analysis. The results of the analysis indicated significant differences in CT skills between groups; students in the treatment group demonstrated better results compared to those in the control group. The paper provides insight into the integration of CT and EDP as effective pedagogical strategies for inculcating CT skills.

The purpose of this study was to classify the active job behaviors of Generation Z (Gen Z, born after 1995) elementary school teachers and investigate relevant variables that significantly affect such a classification. A total of 375 Gen Z elementary school teachers who passed the National Elementary Teacher Qualification Test and had worked in elementary schools in South Korea participated in this study. The data collected identified the types of active job behaviors among Gen Z elementary school teachers using cross-tabulation through Latent Profile Analysis (LPA). A multinomial logistic regression analysis was conducted to identify the predictors that influence the types of active job behaviors of Gen Z elementary school teachers. The results were as follows: First, there are four types of active job behaviors of Gen Z elementary school teachers: Ideal, relational, non-participatory, and passive job performance types. Second, teacher efficacy, learning agility, organizational commitment, and principals’ transformational leadership influenced the types of active job behaviors of Gen Z elementary school teachers. The results offer insights into the human resource management of Gen Z elementary school teachers and have significant implications for improving the active job behavior of Gen Z elementary school teachers.

Education systems worldwide have been significantly disrupted due to the COVID-19 pandemic, creating an immediate need for a revamp of conventional teaching and learning techniques. To explore how this has affected the educational landscape, a scoping review was conducted. This scoping review aimed to examine the changes that occurred in the education field and to explore how it has transformed the educational landscape review. Using Arksey and O'Malley's methodology, 51 articles were selected for analysis from two leading databases: Scopus and Web of Science. All chosen articles were then subjected to thematic analysis. Three main aspects impacted by this global event were uncovered, which are technological advancements and digital transformation, changes in pedagogy and teaching methods, and mental health and well-being issues. This scoping review provides valuable insights into one of the most critical sectors affected by COVID-19, which can assist with planning future strategies for similar crises.

This qualitative study explored the possibility of implementing the happy school model (HSM) in the context of Vietnamese higher education, with a focus on the socio-cultural perspectives of nine tertiary English as a foreign language (EFL) teachers at different career stages. Through semi-structured interviews, thematic analysis, and theoretical underpinning by constructivist paradigm and humanistic education theory, the study illuminated multifaceted insights. Key themes emerged, including aligning the HSM with holistic student development, recognizing challenges and potential benefits, balancing traditional Confucian values, and adapting the model to Vietnam’s unique socio-cultural and economic landscape. The findings provide valuable guidance for educational innovation in Vietnam, highlighting complexities of aligning a new educational paradigm with existing practices and cultural norms. While the study’s focus on a specific cultural context and limited participant pool presents certain limitations, the insights offer rich contributions to the broader global dialogue on education and human development. Future research directions and practical implications are also discussed, making this study a valuable resource for educators, policymakers, and researchers interested in the intersection of universal educational principles and specific cultural contexts like Vietnam.

The objective of this research was to assess the efficacy of project-based learning in enhancing the analysis of student worksheets in the domains of Science, Technology, Engineering, Arts, and Mathematics (STEAM) with the integration of the ecoprint technique, focusing on its influence on student motivation and creativity. This investigation was conducted as a quasi-experiment involving a sample size of 150 students selected through cluster sampling. Data collection was executed using standardized tests, with instrument validity ascertained through the Aiken index and instrument reliability determined via Cronbach's alpha coefficient. Data analysis was performed using multivariate analysis (MANOVA) and descriptive quantitative methods. The study's findings reveal a significant disparity in the mean scores of both learning motivation and student creativity. In conclusion, the implementation of project-based learning coupled with STEAM-based student worksheet analysis utilizing the ecoprint technique yields a substantial enhancement in learning motivation and student creativity. These findings underscore the success of employing STEAM-based worksheets in conjunction with the ecoprint method to foster students' motivation and creativity, as ecoprint inherently encompasses all STEAM components within the manufacturing process.

Increasing the number of entrepreneurs is not just a school task, it requires joint work between educational institutions and the community. Using structural equation modeling, this research aims to investigate the role of community in promoting entrepreneurial careers for students, by adding achievement motivation, entrepreneurial attitudes, and entrepreneurial intentions as predictor variables. The population of this research was high school students in urban areas, and the sample was taken based on convenience sampling, with a total of 300 students participating. Data were analyzed using EFA, CFA, and structural model evaluation using SPSS 24.0 and AMOS 24.0. The research results show that all hypotheses are accepted, meaning that community support influences students' entrepreneurial career choices, as do other predictor variables. This study can provide guidance for developing educational strategies and policies that support the development of young entrepreneurs in the future, through predictor variables.

The role of artificial intelligence (AI) in education remains incompletely understood, demanding further evaluation and the creation of robust assessment tools. Despite previous attempts to measure AI's impact in education, existing studies have limitations. This research aimed to develop and validate an assessment instrument for gauging AI effects in higher education. Employing various analytical methods, including Exploratory Factor Analysis, Confirmatory Factor Analysis, and Rasch Analysis, the initial 70-item instrument covered seven constructs. Administered to 635 students at Nueva Ecija University of Science and Technology – Gabaldon campus, content validity was assessed using the Lawshe method. After eliminating 19 items through EFA and CFA, Rasch analysis confirmed the construct validity and led to the removal of three more items. The final 48-item instrument, categorized into learning experiences, academic performance, career guidance, motivation, self-reliance, social interactions, and AI dependency, emerged as a valid and reliable tool for assessing AI's impact on higher education, especially among college students.

Teachers' classroom practice encompasses diverse facets of teacher behavior. Understanding teachers’ classroom practice is important as the literature has been well documented its association with student, teacher, and classroom outcomes. Positive teacher-student relationships and proper classroom management, both are important aspects of teachers’ classroom practices, have been empirically linked to increasing student academic performance and reducing problem behaviors. This study explored patterns of teacher classroom practices across teacher-student relationships and classroom management and validated them using a person-oriented approach, k-means clustering, on three sets of data with over 600 participants. Using indicators of classroom assessment scoring system (CLASS), three distinct teacher profiles were identified: supportive, intermediate, and detached. Supportive teachers demonstrated high levels of teacher-student relationships and classroom management, while detached teachers showed low levels of both. Intermediate teachers fell between these two groups. The study also compared these profiles based on teacher self-efficacy, work stress, and classroom climate. Supportive teachers had the highest classroom climate scores, followed by intermediate and detached. Work stress was comparable for intermediate and supportive teachers, but both were lower than detached. No group differences were found for self-efficacy. This study contributes to the understanding of teacher behaviors with students in the lower grades.