Student dropout, defined as the temporary or definitive suspension of the exercise of the right to education, is attributable to multiple variables classified into individual, academic, institutional, and socioeconomic determinants which may be exacerbated in the context of the Coronavirus disease (COVID-19) pandemic. Consequently, this work aims to synthesize, from the available evidence, the behaviour and influence of the explanatory variables of school dropout in infant school, primary school and, high school in Colombia for the period 2014-2019 compared to the period 2020-2021 under the COVID-19 pandemic conditions. The research methodology consisted of a systematic review of 125 indexed articles for 2014-2019 and 32 reports related to dropout in Colombian Basic education for the 2020-2021 period. The systematic review of the 157 articles revealed that dropout was studied and explained in both time periods, mainly from the academic determinant whose most cited explanatory variables were: ‘teachers’, ‘curriculum’ and ‘methodologies used’. Moreover, it could be perceived that in the period 2014-2019, the socioeconomic variable was the second dropout determinant, considering ‘family income” as the most important indicator, while in 2020-2021 the “infrastructure” and the ‘political environment’ remained as the most dominant. Lastly, in 2020-2021, the variable ‘teachers’ was highly cited showing that their practice made students maintain their interest despite the physical distance.

This study is an endeavour to explicate the dissonance of the linguistic quality outcome of study abroad (SA) experiences by exploring the second language (L2) motivation of six academic sojourners in Manchester. A person-in-context approach revealed that developing intimate relationships with ‘native-speakers’, providing L2-mediated interaction opportunities with international students, and social approval were key determinants of the extent to which SA students were invested in social practices. Such social engagements were found to stem from second language motivation that is part of identity construction process. In addition, the thematic analysis of the narrative inquiries suggests that the global status of the English language defies the traditional conceptualisations of L2 motivation as most participants’ motivations were formed despite their negative or neutral attitudes towards the English community. The findings also endorse the role of the other as a robust motivational source by which learners can replenish their motivation stream, leading to social identity investment to construct their ideological selves. The paper concludes with a recommendation to re-interpret the conceptualisation of the Ideal L2 Self system because ‘native-speakers’ are rarely the closest parallels to L2 learners, and it should incorporate explicit intrinsic orientations. Furthermore, language institutions in SA contexts should direct their focus on establishing conversation clubs and hosting social events for SA students to provide a safe space for their identities to be developed, enacted and reconstructed.

The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.

This study aimed to explore the perceived factors that influenced the success and challenges experienced when taking licensure examination among Bachelor of Science in Criminology graduates of a state university in the Philippines who failed in the Criminologist Licensure Examinations (CLE). Descriptive-correlational research design was utilized to analyze quantitative data, and Colaizzi’s descriptive phenomenology was used for the thematic analysis of qualitative data. The quantitative findings revealed that home and family factor has a high influence on the success in CLE, while student factor, school factor, review center factor, and personal factor have average influence. Further, ten clusters of themes emerged as factors that influence the success in CLE. Among them were interest and focus on the program, and availability of qualified and dedicated faculty. Among the themes that emerged as challenges were lack of preparedness for the exam because of one’s work, and personal and social pressures. There is a significant difference on the respondents’ perception towards the factors that influence the success in CLE when they are grouped according to sex. Regarding the challenges associated with preparing for and taking the CLE, a significant difference is only observed when respondents are grouped according to their civil status. Generally, married respondents have higher weighted means than the single ones. This implies that the identified challenges affected married respondents more than the single ones. These results can be used to make policies and initiate programs that would enhance graduates’ success in the exam by providing appropriate interventions and early remediations.

The following article is a qualitative study that analyses the perception of parents and high school students regarding teaching in times of Coronavirus disease COVID-19, with the idea of recognizing the facilitators and barriers for the teaching-learning process in the pandemic. The above, in the understanding that due to the sudden appearance of SARS-CoV-2, educational systems around the world had to adapt to virtual teaching, as a result of the confinement to which the population has been subjected during the year 2020 and a good part of the year 2021. The research is based on the interpretative-comprehensive paradigm, with a qualitative methodology, which considered the realization of four focus groups with students and four focus groups with secondary school parents, from two public high schools located in the province of Talca, Maule region, Chile. The findings of the study are related to the adverse effects of the pandemic on student learning, as a result of connectivity difficulties, and the emotional impact on the quality of life of young people and their families. On the other hand, learning at home is related to limited pedagogical strategies and evaluative aspects that do not allow verifying the real learning of the students.

Students drop out of schools for many reasons, and it has negative effects on the individual and society. This paper reports a study using data published in 2015 from the Educational Longitudinal Study conducted by the National Center for Education Statistics to analyze the influence of parental involvement on low-achieving U.S. students’ graduation rates from high school. Findings indicate that both students and parents share the same perspective on the need for parental involvement in their academic progress. For low-achieving high school students, parental involvement in academic work is a positive factor influencing students’ graduation from high school.

This research aims to determine the relationship between school principals' cultural intelligence level and teachers' job satisfaction and intention to leave. The relational survey model was used in this study. The data of the research were collected from 800 teachers working in public middle schools in the central districts of Mersin Province in the 2020-2021 academic year. The data were collected through Personal Information Form, Cultural Intelligence Scale, Job Satisfaction Scale, and Intention to Leave Scale. The data were analyzed through correlation analysis, Structural Equation Modeling and Sobel Test. According to the results of the research, a strong, positive and significant relationship was found between the cultural intelligence level of school principals and the job satisfaction of teachers. A strong, negative, and significant relationship was determined between the cultural intelligence level of school principals and teachers' intention to leave. A strong, negative, and significant relationship was determined between teachers' job satisfaction and their intention to leave. It was found that the cultural intelligence level of school principals negatively predicted teachers' intention to leave. It was also determined that cultural intelligence levels of school principals negatively predicted teachers' intention to leave through job satisfaction, and teachers’ job satisfaction was a partial mediator of the relationship between the cultural intelligence levels of school principals and teachers' intention to leave. It was suggested that candidates with high cultural intelligence levels should be given priority in the appointment process of school principals.

This study aims at identifying the level of psychological and professional stress in light of the Coronavirus disease (COVID-19) pandemic. It adopted descriptive and analytical methodologies. Two scales were prepared: one scale for psychological and professional stress and the other for coping with psychological and professional pressures. The study sample consisted of 608 female teachers at public schools in Al-Kharj province, Kingdom of Saudi Arabia (KSA). The results show a moderate level of psychological and professional stresses. The findings show statistically significant differences in teaching experience variable. The differences were in favour of female teachers with experience of less than 5 years. However, no statistically significant differences were found on the variable of academic qualification. It was found that female teachers had followed strategies to cope with psychological and professional stresses including resorting to faith, connecting with other teachers and students, planning different strategies, seeking help from others and managing time. The study recommends arranging training courses for female teachers to develop remote teaching skills and using various technologies and applications in this field particularly during the ongoing COVID-19 pandemic.

In Austria, segregated German language support classes (GLSC) were introduced in the school year 2018/19 to intensively support students who had previously little or no contact with German, the official language of instruction. These classes have been widely criticised; however, a formal evaluation of their effects has yet to be published. In absence of this evaluation, this article describes the language support model as it currently exists in Austria and reviews existing evidence about its efficacy. The literature review synthesises findings from educational research undertaken in other contexts that offer insight into features of ‘good practice’ in language support models. The article then explores the extent to which GLSC comply with these features. As such, this review allows insights into ways of ensuring students’ language and socio-emotional development – all central aspects of academic success – in language support models. It therefore allows research-informed understanding of the effects of the newly implemented model of German support classes in Austria and makes recommendations for further development.

This research aimed to develop a historical thinking assessment for students' skills in analyzing the causality of historical events. The development process of Gall and colleagues and Rasch analysis models were used to develop an assessment instrument consisting of two processes, including the analysis of the framework of cause and consequence, the validity, reliability, and difficultness test. This research involved 150 senior high school students, with data collected using the validation sheet, tests, and scoring rubric. The results were in the form of an essay test consisting of six indicators of analyzing cause and consequence. The instruments were valid, reliable, and suitable for assessing students’ skills in analyzing the causality of historical events. The developed instruments were paired with a historical thinking skills assessment to improve the accuracy of the information about students' level of historical thinking skills in the learning history.

This study aims to explore non-English speaking major student’s perceptions of Motivation and Grit and the relationship between these two factors and students’ English language performance at a public university in China. The research was conducted by quantitative research design to collect 624 non-English speaking Major students’ answers to multiple questionnaires at a public university in China. Data analysis is used by SPSS and AMOS. The study shows that Motivation and Grit all have a positive correlation with English language performance. One major conclusion of this study is Grit has the most significant effect on the English language performance of non-English speaking major students in multiple regression analysis and is also the best predictor of the relationship between these two factors and English language performance in the path analysis in Structure Equation Modeling (SEM) analysis. The finding also revealed that male students’ perception of motivation and grit is slightly stronger than that of female students. These findings highlight the need for English as a foreign language (EFL) teacher to understand students’ affective factors in learning English, and hence help them utilize different teaching methods to enhance students’ English learning and promote sustainable development of English learning in a public Chinese university.

Numerical thinking is needed to recognize, interpret, determine patterns, and solve problems that contain the context of life. Self-efficacy is one aspect that supports the numerical thinking process. This study aims to obtain a numerical thinking profile of Mathematics pre-service teachers based on self-efficacy. This study used descriptive qualitative method. The data obtained were based on the results of questionnaires, tests, and interviews. The results of the self-efficacy questionnaire were analyzed and categorized (high, moderate, and low). Two informants took each category. The results showed the following: informants in the high self-efficacy category tend to be able to interpret information, communicate information, and solve problems with systematic steps. Informants in the moderate self-efficacy category tend to be able to interpret and communicate information, but tend to be hesitant in choosing the sequence of problem-solving steps. Meanwhile, informants in the low self-efficacy category tend not to be able to fully interpret the information. As a result, the process of communicating information and solving problems goes wrong. Another aspect found in this study is the need for experience optimization, a good understanding of mathematical content, and reasoning in the numerical thinking process.

Technological tools are means by which online teaching could encourage the engagement of students, especially elementary students. The present research studies how elementary teachers develop their use of technological tools in their asynchronous and synchronous online teaching, specifically when this online teaching occurs during emergency education. The research was conducted in the academic year 2019/2020. We interviewed two elementary teachers, where one of them taught asynchronous lessons more than synchronous, while the second taught synchronous lessons more than asynchronous. We analyzed the data using two frameworks: one for interaction type and one for engagement type. The research results indicated that different interaction types influenced teachers’ decisions to use technological tools. In addition, what concerned the teachers’ use of tools at the beginning was the cognitive engagement, but they advanced towards focusing on behavioral and the affective engagement.

The onset of the Coronavirus disease COVID-19 crisis has forced pedagogical institutes to adopt online teaching/learning as an urgent strategy to cope with the pandemic. Utilizing the theories of social capital, knowledge sharing, and mobile learning constructs, this research aims to investigate the association among these constructs in one of the higher education institutes in the context of developing countries. Additionally, to improve our understanding of the mediation effect of mobile learning on this relationship, the author used the structural equation modeling technique to analyze the data from questionnaires administered to undergraduate students attending classes during the pandemic. Results revealed that the relationship between social capital factors and knowledge sharing is significantly positive. Results also showed that there is a partial mediation to back up the correlation of social capital factors and knowledge sharing.

This study investigated student teachers’ teaching self-efficacy level and factors that predict it (using five-factor mentoring model). Two hundred and ten third and fourth-year student teachers (N=100/N=110; 93.8% females) were involved in the study and asked to complete a self-report questionnaire. The “Mentoring for Effective Primary Teaching” instrument and “Teachers' Sense of Efficacy Scale” were used to collect the data. Findings indicated that higher levels of student teachers' self-efficacy are positively associated with the level of mentoring experience during the teaching practicum. The results found that fourth-year students reported significantly higher levels of teaching self-efficacy than third-year students. This study reported that there is a significant mean difference in student teachers’ self-efficacy beliefs in terms of having parents in the teaching profession. A multiple regression found that mentor teachers’ personal attributes are the best predictor of student teachers' teaching self-efficacy beliefs.

The purpose of the study was to determine whether emphasising the managerial domain of the preservice preschool teachers’ curriculum is capable to improve their management and leadership skills. This study used the mixed-method methodology that combined the exploratory design and the experimental design. It included three basic phases such as feasibility assessment of making changes to the curriculum, intervention, and controlled observation, followed by the analytical phase. It was proved that the university curriculum upgraded the training approach by using the guided interim directorship. This change addressed the Professional Standard requirements for the preschool heads as well as job requirements. The intervention produced a positive shift in students’ skills of micromanagement, long-term planning, communicating vision, emotional control, and mentoring. There was a shift from the basic level of management skills before the intervention to the intermediate level of the skills after the intervention. The number of students with a superior level of skills increased by 11.54% as well. The students’ comments concerning the integration of the managerial component into the curriculum were complimentary. The observers’ reports suggested that they appreciated the students' work which was the outcome of the updated curriculum.

Online learning is an obligation in teaching and learning activities during the Coronavirus disease (COVID-19). Game-based learning is a solution in improving student learning outcomes. This research aims to determine the level of acceptance of gamification in terms of Gamification quality (GQ), instructor characteristic (IC), and technology anxiety (TA). The target respondents were students taking information systems courses based on enterprises resources planning (ERP) Gamification. The sample used is a census. That is, the entire population is taken as a sample. A total of 93 students filled out the online questionnaire. Then, data analysis using Structural Equation Model - Partial Least Square (SEM-PLS). Student satisfaction (SS) and perceived ease of use (PEOUG) are the most influences. PEOUG is also the construct that has the most significant relationship impact, especially with the perceived usefulness (PUG). Meanwhile, two constructs do not significantly impact TA on PUG and PUG on Intention to use gamification (INTG). The obligation of students requires students to ignore the impact and function of gamification. The results of this research also show that technology acceptance model (TAM), the constructs IC, TA, and GQ have a positive effect on PEOUG. Then PUG and PEOUG can positively affect SS.

This study investigates the contribution of teachers’ willingness to their professional competence in adapting to digital learning transformation during the Coronavirus disease (COVID-19) pandemic and its relationship to instructional leadership and self-efficacy. Data were collected by distributing online questionnaires consisting of 4 constructs, namely instructional leadership, self-efficacy, teacher’s willingness to change, and professional competence, and distributed to 221 Indonesian High School teachers. Structural Equation Model (SEM) was used for analysis using Analysis of Moment Structure (AMOS) version 23.0 to examine the hypotheses. The results showed that instructional leadership significantly influences teachers’ willingness to change with a positive impact on their professional competence. Furthermore, there is a significant effect on teachers’ willingness to change their professional competence, insignificant on self-efficacy with substantial impacts on their willingness to change. The analysis results through the Sobel test showed that the teachers’ willingness to change is an excellent mediating variable for self-efficacy in influencing professional competence. Conversely, it is not an excellent mediating variable for instructional leadership towards professional competence. The importance of teachers’ willingness to improve their professional competence is a new finding that significantly contributes to their professional development.

Vietnam has a reputation for being a successful nation in preventing the Coronavirus disease (COVID-19) outbreak in 2020, with a lower number of illnesses than other ASEAN countries. However, to ensure that students are safe and informed about the coronavirus outbreak, Vietnamese higher education has developed online learning (OL). During the COVID-19 epidemic, this paper explores the relationship between elements such as learning readiness, learning strategies, and learning performance in the Vietnamese OL setting. Four hundred undergraduate students were randomly selected from Hong Duc universities, and Saigon University participated in this study in different zones. Analyzed data has applied structural equation modeling (SEM) using partial least squares (SmartPLS-SEM). The findings found that Vietnamese students were much more likely to believe in interaction in OL, to feel comfortable using a computer with their computer efficacy, and to have confidence in communicating in the digital environment, all of which were important variables in assuring the success of using OL. The factors of “motivation” and “test preparation” show a poor relationship with learning performance. Therefore, the OL process in Vietnamese, on the other hand, needs to be more inventive, with a greater focus on lecturers' awareness and practice of online teaching pedagogies such as motivation, techniques, and test arrangement. During OL, students' readiness in terms of learning control, self-directed learning, and engagement must be considered and supported.

Geometric thinking affects success in learning geometry. Geometry is studied from elementary school to university level. Therefore, in higher education and basic education, it is necessary to carry out a systematic review in order to obtain tips for improving geometric thinking skills. A systematic review of geometric thinking was done in this study. In this study from 2017 to 2021, geometric thinking was investigated in the form of a synthesis review of the effect size of the given treatment. This is a comprehensive discussion of theories, models, and frameworks on the topic of geometric thinking from 36 articles. The research findings revealed that the interventions used were predominantly effective, with effect sizes ranging from "small" to "very large," with the "very large" effect obtained in the intervention of van Hiele's learning phase and various technology-based-media and concrete manipulative media. The research trend was reflected through twelve clusters of interrelated keywords. The results of this literature review suggested that it is necessary to carry out a specific study on how to achieve the highest level of geometric thinking, a more detailed form of scaffolding, and concrete manipulative media and technology that can be explored for a certain level of the participants’ geometric thinking.