Gamification in education refers to the application of game design elements and game principles in teaching with the goal of increasing students’ motivation and engagement, which contributes to more successful achievement of learning outcomes. Gamification can be used in education at different levels, from primary and secondary schools to universities and adult education. An analysis of the literature on the use of gamification in education has shown that it is more common in university education and less common in primary and secondary schools. Nonetheless, experience shows that games and numerous digital tools are successfully used in schools for the purpose of gamification, although this is generally not supported by the relevant research published in the papers. The research presented in this paper represents a systematic review of the literature on relevant research on the use of gamification in primary and secondary schools to explore the field and make recommendations for future research. The conclusion is that research on gamification should continue to suggest appropriate pedagogical and technological frameworks which would facilitate the use of gamification in schools by teachers.

Online game addiction and psychological distress are two continuously developing problems in the Philippines, with Filipinos aged 18 to 24 being the second largest age group to overuse interactive online-related games. This sequential explanatory mixed method study aimed to assess the young adults’ gaming addiction and perceived psychological distress during the COVID-19 pandemic and identify the other factors contributing to the respondents’ frequent engagement in online interactive games, which served as a basis for a preventive intervention program. The researcher administered the survey questionnaires of the Gaming Addiction Scale and Depression Anxiety Stress Scale-21 to 399 young adults aged 18–24 and a semi-structured interview guide to 20 addicted and non-addicted gamers. Key results showed that a small percentage of the respondents experienced polythetic and serious monothetic addiction to interactive online games. In contrast, half of the respondents manifested mild to moderate symptoms of depression and anxiety during the COVID-19 pandemic. Major findings also found no significant gender differences in the level of online game addiction and psychological distress during the COVID-19 pandemic, and a moderate level of relationship substantiated the association. Further results revealed that the negative compensatory factors were associated with addicted gamers’ frequent engagement with online games, whereas non-addicted gamers were associated with positive, beneficial factors. This phenomenon has hardly ever been the focus of in-depth research, and the results of this study can be used to further refine the conceptualization of “internet gaming disorder” as a mental disorder and develop a more comprehensive treatment method.

Higher education institutions around the world had to implement an emergency remote education (ERE) modality due to the COVID-19 pandemic. This study aimed to determine the individual and relational factors that affect the perception of learning in engineering, education, and health students during emergency distance education. Through a quantitative, non-experimental, and correlational study, an online survey was administered to a sample of 929 higher education students regarding their ERE experience. They were surveyed regarding their perceived learning, empathy, classroom interaction, self-regulation of learning, positive agency, student engagement, learning approaches, and use of digital resources. Data was analyzed using quantitative methods, namely correlations, comparisons of means and a linear regression analysis. Education students showed a more positive perception of learning, used a deep learning approach, and rated more positively the empathy shown by their professors and the possibilities for class participation than other students. Engineering students had the lowest scores on perceived learning and on almost all other variables. In general, students with a better perception of learning presented a higher engagement in their studies and a lower use of surface learning approach.

This study focused on teachers' awareness of students' learning situations during distance learning. It took place at the Nueva Ecija University of Science and Technology (NEUST) - Gabaldon Campus during the academic year 2021-2022. The study employed descriptive-comparative and descriptive-correlational designs. The 249 students were selected using a stratified sampling technique, whereas the 25 teachers were selected using a purposive sampling technique. Findings revealed that teachers are aware of their students' situations. The students believe that they faced learning challenges during distance learning. There is a significant difference between male and female teachers in terms of student learning environment awareness, but no statistically significant difference in the teacher's awareness of the student's learning situation across age groups, service years, and academic rank. There is a significant difference in the learning anxiety of male and female students but not in the learning environment and blended learning readiness. The learning environment and readiness for blended learning do not differ significantly across age groups of students, but anxiety does. A statistically significant difference in student readiness in blended learning was observed based on students' courses but not on the learning environment or anxiety. There is no significant difference in students' learning situations based on family income or parental educational attainment. There was no significant difference in student achievement based on the teachers' level of awareness. Achievement is positively correlated with learning environment and readiness but negatively associated with anxiety. In addition, the study discussed its theoretical and practical implications.  

The purpose of the study is to explore the ways of involving university stakeholders specifically in updating educational services. It combined exploratory and observational research methods which relied on qualitative or quantitative data gathered through the researcher-designed and validated tools which were the empirical and methodological contributions to the previous research. The five most frequent choices that might encourage the stakeholders to donate or invest in an educational institution were as follows: a portfolio of the use of donations, investments, or grants, having a stake in the educational services of more than 7%, having access to budgeting and cost reporting, having a share in the institutions’ profit and being one of the decision-makers. The factors that discouraged investors from investing in education were as follows: distrust of the activity of the educational institutions in terms of addressing the stakeholders’ needs or interests, lack of engagement or cooperation, institutional and government-imposed barriers between them and the institutions, uncertainty concerning the efficiency of the institutions and inefficient use of the resources by the institutions. The initiative was complimentarily perceived by stakeholders in terms of collaboration and investment opportunities. It was also found beneficial by the sampled students.

Considering the fact that learning difficulties are mostly related to academic learning, and students first encounter tasks related with academic learning during the pre-school, it is critical for early intervention that the first symptoms of students with potential learning disability are detected by the pre-school teachers. The aim of this research is to examine knowledge levels of pre-school teachers about the characteristics of learning difficulties that 3–6 years old students, in the pre-school period, may show. With this aim in mind, the development of the “Test for identifying characteristics of learning disabilities in pre-school students (3-6 years)” was completed with 471 pre-school teachers and pre-school teacher candidates of the last grade of pre-school education program. The research has been done in the survey model with a quantitative approach. The sample of the study consists of 291 pre-school teachers. The data have been collected by means of the “Test for identifying characteristics of learning disabilities in pre-school students (3-6 years)” and analyzed using descriptive statistics techniques. At the end of the research, it has been found that there are no statistically significant differences in knowledge levels of pre-school teachers regarding the cognitive, affective, social and motor characteristics of learning disabilities in terms of their gender, the program they have graduated from, having taken courses on special education, having taken courses on learning disabilities, the types of institutions they worked at, and their class sizes. It has been found that there are statistically significant differences in their knowledge levels about cognitive, affective, social and motor characteristics of learning disabilities according to the length of service, teaching students with learning disabilities, having inclusive students in their class, having a relative in need of special education, and teaching students with learning disabilities variables.

This study uses structural equation modeling (SEM) analysis techniques, with the aim of testing the structural effect of family support, entrepreneurial training, on entrepreneurial intentions, with self-efficacy and student achievement motivation as mediators. A total of 203 students participated in this study, through a questionnaire distributed online. The SEM analysis was performed using the Amos 24 App. The results showed that the family environment and entrepreneurship training had a direct and indirect effect on entrepreneurial intentions through self-efficacy and student achievement motivation. The model proposed and tested in this study can be a constructive guide for related parties in an effort to promote students' entrepreneurial intentions.

The influence of COVID-19 has caused a sudden change in learning patterns. Therefore, this research studied the learning achievement modified by online learning patterns affected by COVID-19 at Rajabhat Maha Sarakham University. This research has three objectives. The first objective is to study the cluster of learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. The second objective is to develop a predictive model using machine learning and data mining technique for clustering learning outcomes affected by COVID-19. The third objective is to evaluate the predictive model for clustering learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. Data collection comprised 139 students from two courses selected by purposive sampling from the Faculty of Information Technology at the Rajabhat Maha Sarakham University during the academic year 2020-2021. Research tools include student educational information, machine learning model development, and data mining-based model performance testing. The research findings revealed the strengths of using educational data mining techniques for developing student relationships, which can effectively manage quality teaching and learning in online patterns. The model developed in the research has a high level of accuracy. Accordingly, the application of machine learning technology obviously supports and promotes learner quality development.

This research analyzes the effects of restricting face-to-face classes during the lockdown and students' preparation for face-to-face instruction. During the academic year 2021-2022 break, it was conducted at Nueva Ecija University of Science and Technology (NEUST)-Gabaldon Campus's College of Education. This study employed a descriptive correlational and descriptive comparative research design. The 151 education students who participated in this study were chosen using a stratified sampling method. According to the study, students received satisfactory to very satisfactory grades during the lockdown. The study also showed that after the lockdown and after the Commission on Higher Education recommended face-to-face classes, the majority of respondents agree that they are academically, socio-emotionally, and physically prepared to go through a face-to-face mode of learning. The majority of them prefer face-to-face classes to any other form of distance learning. The general weighted average of a student is a predictor of academic readiness in face-to-face classes. In addition, students' general weighted averages have direct link to their socio-emotional readiness. Students' profiles, on the other hand, have no impact on their physical readiness. There is no significant difference in student preparation in face-to-face classes when students are grouped by gender, year and section, and civil status. There is no association between the student profile and their preferred mode of learning. The theoretical and practical ramifications of the research were also addressed.

This study investigated college students’ career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students’ professional identity scale, career maturity scale, and academic achievement scale. After experts’ revision and confirmatory analysis, the 3 scales had sufficient reliability, validity, and fit. The researchers distributed electronic questionnaires to students in 4 universities in Jilin Province, China, and participants responded using 5-point Likert-type scales. The researchers collected 1,104 valid questionnaires. According to the analysis, college students’ professional identity is a positive predictor of their academic achievement, and career maturity partially mediates the influence of professional identity on academic achievement. Therefore, improving Chinese college students’ professional identity may improve their academic achievement, and professional identity can have a positive effect on academic achievement through career maturity. University administrators and teachers should enhance the career maturity of college students and promote their professional development.

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.

Researchers have recognized the need for updates of test anxiety scales for more measurement accuracy. However, studies that investigated the measurement invariance of the Test Anxiety Inventory (TAI), and identified the latent profiles remain scare not withstanding its wide usage in Nigeria. This might have an impact on how generalizability and reliance on outcomes from such an instrument are handled. We investigated the measurement invariance of TAI and the latent profiles among Nigerian adolescents. Gender constituted our focus in the measurement invariance given its significance in test anxiety research. Adolescent students (n=539) formed the sample of our study. We employed the confirmatory factor analysis (CFA) and the latent profile analysis (LPA) to measure the invariance and identify the class profiles. We found evidence of a measurement invariance across gender in both competing models given that we obtained strict measurement invariance. We also identified a four-class profile model for both male and female students: low (17.50%; 19.00%), moderate (17.50%; 34.40%), high (36.80 %; 32.80%), and very high (12.60%; 13.80%) test anxiety profiles respectively. We concluded that while the composed factors are equivalently scaled across gender that test anxious students were not monolithic given the identified profiles.

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 pedagogical and didactic guidance of teachers has been linked, in the relevant literature, to the school management’s adoption of the model of pedagogical leadership as well as to the assurance of a series of factors that influence it. This study aims at investigating the pedagogical role of the principal in Greek primary schools. Data were collected through an anonymous questionnaire completed by 133 Greek primary school head teachers. Results show that head teachers consider that their pedagogical role has mainly to do with the pedagogical climate, psychosocial and pedagogical guidance of the school unit. Additionally, the research results show that head teachers carry out their pedagogical role cooperating and communicating mainly with the members of the educational community of the school. Another noteworthy finding of the present study is that the factors that support head teachers in their pedagogical leadership role, are hard to exist in hierarchical educational realities such as Greece. The originality of the paper draws attention to the school's socio-economic environment, which significantly influences school leadership. Conclusions on the implications of the study are made and directions for future research are suggested.

The aim of the research was to develop a theoretical approach to describe the emotional and techno-ontological logic of mathematics teachers during distance learning during the COVID-19 pandemic and the impact of their emotional state on the learning process. The research approach used in this paper belongs to the qualitative paradigm. The study involved teachers and students from universities in Ecuador, both private and public. The study observed the behavior of teachers and students, analyzed the use of technology in mathematical activities, and analyzed personal opinions about the learning process of the participants of the study. A digital observation guide and open-ended interviews were used to collect data. The qualitative analysis program Atlas.Ti software was used to analyze the data. The program created three categories: andragogical heterotopia of mathematics, emotional scar in teacher preparation, and perceptions of the educational process. As the results of the research showed, there was a deficit of digital professional training of teachers in the university teaching of mathematics. As a result of the research work carried out, a theoretical approach is proposed, through which it is possible to avoid the manifestation of techno-ontological logical emotions in mathematics teachers in Ecuadorian universities.

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.

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.

This study explores the impact of gender on the preferred English language learning strategies of self-perceived introverted students in Vietnam, given the burgeoning role of English as an international lingua franca. A mixed-methods approach, involving survey questionnaires and follow-up interviews, was utilized to gather both quantitative and qualitative data from a cohort of 68 English major undergraduates, 29 of whom self-identified as introverted via the Myers-Briggs Type Indicator (MBTI). The investigation provides a comprehensive understanding of the preferred language learning strategies among introverted learners, and specifically examines how gender influences these strategic choices. The results reveal that gender does not present significant differences in the preferred English language learning strategies of self-perceived introverted individuals. Regardless of gender, introverted language learners demonstrate a tendency towards compensation learning strategies, with specific strategies such as deductive reasoning, organizing physical environs, and error rectification receiving almost identical responses from both male and female participants. These findings suggest that the role of personality traits, such as introversion, should be considered in tailoring pedagogical approaches to meet individual learning preferences and needs. Further research is needed to explore this area in greater depth and to examine its broader implications for English language teaching pedagogy.

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.