This study aims to investigate the perceptions of Generation Z students about ideal learning after the pandemic in Indonesia. This research uses a qualitative design with a phenomenological approach. There were 30 students from 6 different campuses in Serang City, Banten, Indonesia, who used a purposive sampling technique as research participants. Data collection was carried out using semi-structured interviews, which were then analyzed using thematic analysis techniques. The findings of this study state that there are four main themes regarding ideal post-pandemic learning, namely: (a) learning that is not monotonous, (b) equal portions of theory and practice, (c) ideal learning managed by an ideal lecturer, and (d) the need for the application of blended learning. This research contributes to the current literature on designing ideal learning on campus after the COVID-19 pandemic.

This research aims to prove the influence of teacher efficacy on learning quality with quantitative meta-analysis. The eligibility criteria in this study include: (a) The publication can be searched in Google Scholar, ERIC, DOAJ, Research Gate, and or ScienceDirect; (b) The publication is indexed in Scopus, WoS, SINTA (a portal indexing journal managed by the Ministry of Education and Culture of the Republic of Indonesia, equivalent to DOAJ and Index Copernicus), DOAJ, Index Copernicus, and at least they must be indexed in Google Scholar; (c) The topic of the studies must be relevant; (d) The studies must be carried out in the 2014-2023 year range; (e) The publication must have a value of (r), (t) or (F); (f) The studies have a magnitude of N ≥ 20. This study used the JASP application for data analysis. The results showed that: (a) the 40 studies analyzed were heterogeneous and normally distributed; (b) the influence of teacher efficacy on education quality is classified as strong (p < 0.05; rRE = 0.800); (c) publication bias was not detected. This study concluded that teacher efficacy has a strong influence on education quality.

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.

Active learning (AL) techniques invite students to participate actively, either physically or mentally, in the learning process so that they can change their behavior efficiently to achieve great achievement. Still, there is insufficient knowledge concerning the dimensions of AL techniques for business subjects of secondary school students in Malaysia. Thus, the research’s goal is to assist in the determination of the instruments’ reliability to measure the AL techniques measurement scale for business subjects’ students using exploratory factor analysis (EFA) as well as reliability analysis. Moreover, this research conducted a self-administered survey among secondary school students who have taken business subjects as their elective subjects. From secondary schools in Negeri Sembilan, Malaysia, 123 respondents were randomly chosen for the sample. To measure the AL constructs, the study retained 30 items developed because no items have been omitted since the factor loading turned out higher than the 0.50 cut-off point and was used as a tool for data collection. Essentially, this research empirically validates the dimension which helps lead to AL techniques in business subjects that are improved, and the findings are particularly beneficial to secondary school students in Malaysia.

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.

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.

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.

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.

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.

This paper examines how peer mentoring strengthens teaching practices in Regular Basic Education considering the changes undertaken since the COVID-19 pandemics. Peer mentoring is an in-service teacher training strategy that includes mutual collaboration, learning and monitoring. In this systematic review, we retrieved 24 articles since 2020 from Scopus (8), Web of Science (8), Dialnet (5), Google Scholar (2) and SciELO (1) to find out about the benefits of peer mentoring. Our review was guided by the PRISMA criteria. We found that educational companionship has a positive impact on reducing knowledge gaps regarding new technologies through the exchange of experiences, promotes openness to criticism, as well as the interest in learning and unlearning, supporting learning self-regulation, and guarantees consultation, reflection, and agreement between members of the teaching communities. We conclude that peer mentoring fulfilled, to a large extent, its purpose of improving teacher performance as one of the keys to educational quality.

The 21st century marks a world where scientific, humanistic, technological, and societal issues are integrated. The complexity caused by the reciprocal effects among technology, engineering, cultural, and social values raises new ethical problems. This study addresses recent increased attention to the relationship between ethical awareness and engineering identity factors. Participants in this study were 246 undergraduate engineering students enrolled in a research university located in the northeast U.S. Bivariate correlation and ordinary least squares regression were conducted. Bivariate correlations showed that ethical awareness was positively correlated to engineering interest, engineering recognition, and engineering performance/competence, which are the three factors of engineering identity. The OLS regression showed the r2 value for the computed regression equation indicated that there was a non-zero relationship between the set of all independent variables (engineering identity factors, gender, ethnicity, years in school, and first-generation status) and the dependent (ethical awareness) and that the final set of independent variables accounted for approximately 22% of the variation in the dependent variable, Ethical Awareness. Undergraduate engineering education is a key to ensuring engineers will uphold the ethical values of the profession. This study contributes to the practical value of engineering ethics awareness by affirming that engineering identity is sound and should be applied in practice.

The computing and creative skills of students in Indonesia are still low since the government has not focused on student creativity and computational empowerment programs. This research aims to develop a science, technology, engineering, art, mathematics, and reflection (STEAMER) hybrid learning project model for teachers' creative and computational thinking abilities, as well as analyze elementary school teacher candidates' perceptions of the use of STEAMER hybrid learning model to improve teachers' creative and computational thinking abilities. This research is development research with an analysis, design, development, implementation, and evaluation (ADDIE) model. The instruments used in this study were questionnaires and interviews with experts, lecturers, and elementary school teacher candidates. The research was conducted at eight universities in Indonesia with a total sample of 100 elementary school teacher candidates. Through quantitative and qualitative data analysis, the research results have developed the STEAMER hybrid learning project model based on learning theory, syntax, social systems, support systems, and the instructional impact of learning models. The results of the validation show that the developed learning model is feasible in terms of model, material, media, and language experts. The model is suitable for elementary school teacher education. Furthermore, based on the perceptions of the teacher candidates, it is stated that the STEAMER hybrid learning project can develop the ability of the teacher candidates to think creatively and computationally.

This PRISMA-based systematic review analyzes how artificial intelligence (AI) and Machine Learning (ML) are integrated into educational institutions, examining the challenges and opportunities associated with their adoption. Through a structured selection process, 27 relevant studies published between 2019 and 2023 were analyzed. The results indicate that AI adoption in education remains uneven, with significant barriers such as limited teacher training, technological accessibility gaps, and ethical concerns. However, findings also highlight promising applications, including AI-driven adaptive learning systems, intelligent tutoring, and automated assessment tools that enhance personalized education. The geographical analysis reveals that most research on AI in education originates from North America, Europe, and East Asia, while developing regions remain underrepresented. Without strategic integration, the uneven implementation of AI in education may widen social inequalities, limiting access to innovative learning opportunities for disadvantaged populations. Consequently, this study underscores the urgent need for policies and teacher training programs to ensure equitable AI adoption in education, fostering an inclusive and technologically prepared learning environment.

This study delved into Terry Borton’s reflective model and 7E instructional model to produce comprehensive and guided tools that fit as observation and reflective tools for enhancing learners’ engagement and outcomes in Mathematics lessons. The aim was to gather insights that can inform strategies to adapt Borton’s model to produce tools to be used to observe and analyse 7E model-based Mathematics lessons to contribute to improved student outcomes. Literature information was used to explore, analyse, and synthesise the study’s related existing theories and models to provide a deeper understanding of constraints and prompt question descriptors to produce 21st-century tools to observe and reflect on a Mathematics lesson. After comparing different prompt question descriptors from different literature and Borton’s model, concise descriptors were retained for educational purposes to be analysed, considering the 7E model phases, to produce the guided tools. As a result, two products. “Classroom Observation-Guided Tool”, which includes a guided tool table with a last column for the observer to write comments during class. This column is used to identify gaps in student engagement and learning practices across the 7E phases, which may have been misused. The “Post-Lesson Discussion Guided Tool”, to make a positive post-lesson discussion session, enabling teachers to identify areas for improvement in student engagement to achieve better outcomes next time. Other researchers can study the applicability of 21st-century observation and reflection-guided tools to other subjects, exploring their long-term impact on teacher professional development to improve overall student achievement across all school subjects.

This study applies explainable machine learning to identify which vocal attributes in a lecturer’s speech influence students’ views of a lecturer’s charisma, a key contributor to teaching quality. It further explores whether vocal qualities differ between male and female lecturers and how students of different genders respond to these differences, offering insights into voice-related factors that influence the impact of educators. Speech segments from YouTube videos featuring 200 native-English lecturers were evaluated by 900 students using charisma rating scales. A set of attributes related to three primary prosodic dimensions of voice - pitch, rhythm, and loudness - was computed. A random forest classifier was employed to predict the charisma level based on the speech attributes and to list and rank the attributes that contributed most to the prediction. The findings revealed prominent vocal attributes that achieved higher charisma scores in the students' ratings. Same-gender evaluations of charisma were mainly based on pitch, while cross-gender evaluations rely mostly on loudness or rhythm. The automated, interpretable method provides a reliable and efficient way to measure vocal charisma in academic lecturers. It can be adapted to examine additional individual factors that influence the perception of a lecturer’s charismatic presence. It may also be integrated into practice-based tools, designed to support instructors in improving their presentation skills. Our research bridges the fields of applied psychology and computer science to contribute to the development of educational technology.