The vast technological development affects every layer of people’s daily life, including Education. However, Indonesia’s tertiary education status quo has not exhibited any rapid development in information technology-based learning media. This study aimed to develop and identify the effectiveness of Basic Pedagogy Material online learning material in improving students’ outcomes in pedagogy. It applied R & D design with a waterfall development model on second-semester students in Universitas Negeri Semarang, Indonesia, during the educational year of 2020/2021. The data collected through interviews, observation, questionnaire, scale, and test were analyzed using independent t-test and n-gain. The findings indicated a significant difference between the average score before and after students used the Basic Pedagogy Materials mobile learning application during the learning process. Therefore, the mobile learning application developed effectively improves students' learning outcomes in pedagogy subjects effectively.

This study aims to analyze the impact of Bandura’s observational learning model based on performance assessment learning models and general motor skills on athletic skills learning outcomes. This study used an experimental design treatment by level 2x2. A simple random sampling technique was used with a total of 88 people. The data collection method used consisted of tests and documentation. A two-way analysis of variance was used to analyze the data. The results showed that the students’ athletic skills learning outcomes that followed the Bandura observational learning model based on performance assessment were higher than students’ conventional learning model. There was an interaction effect between the learning model and general motor skills on the student's athletic skills learning outcomes. The students’ athletic skills learning outcomes who follow the Bandura observational learning model based on performance assessment were higher than the conventional learning model. The students with low general motor skills and the students’ athletic skills learning outcomes that followed the Bandura observational learning model based on performance assessment were lower than the conventional learning model. Based on the research findings, it is recommended to improve the athletic skills learning outcomes with Bandura's observational learning model based on performance assessments appropriately and correctly.

The purpose of this study was to explore the factor structure of a measurement and to evaluate its internal reliability. Overall, 525 math-majoring elementary school teachers volunteered to participate in this study by answering online survey questions via Google Form. These samples were randomly partitioned into 262 participants for exploratory factor analysis (EFA) and 263 observations for confirmatory factor analysis (CFA). The EFA tended to largely prefer a four-factor solution, which was proven to explain over 68% of the variation in the data. Awareness, effectiveness, engagement, and opportunity were the provisional labels for these hidden variables. The CFA results verified and validated the four-factor model, with all test measures exceeding the specified thresholds, suggesting an acceptable and excellent fit. The results of this study, on the one hand, provide four key areas for realistic math teachers, educators, and policymakers to discuss as opposed to examining individual indicators, and on the other hand, they serve as a foundation for interested researchers to conduct additional analyses, such as multivariate linear regression or complement for cluster analysis.

This study explored the effects of collaborative writing strategies on students' writing skills and self-efficacy. The study used a mixed methods design combining quantitative and qualitative approaches. Several instruments were used in data collection, including questionnaires, writing tests, writing assessment rubrics, and semi-structured interviews. The participants were randomly divided into two groups: the experimental group and the control group, which comprised 62 students. Data from the questionnaire and writing tests were analyzed using one-way MANOVA and MANCOVA tests, while interview data were explored using thematic analysis techniques. Participants were randomly divided into two groups: the experimental group and the control group. The results showed that collaborative writing strategies could improve students' writing skills and self-efficacy. Moreover, the qualitative results showed that most students responded positively to using these strategies to improve their writing skills and self-efficacy.

The aim of this study was to investigate how the use of the technologized model of critical thinking development affected the self-study process of students of higher educational institutions (HEIs). The research methodology was based on a combination of qualitative and quantitative empirical methods, as well as a descriptive approach to data analysis. The study involved a quasi-experimental model supposed to influence the variables under study. The technology-based educational model of autonomous learning with a focus on the critical thinking development in students of HEIs consisted of the following processes, such as: communication, analysis, synthesis, problem-solving, evaluation, and reflection. The Watson Glaser Test was adapted to monitor the level of students’ critical thinking. The average score on the final control of students’ knowledge was used to monitor the experimental group students’ performance. By monitoring the development of students’ critical thinking and the dynamics of their performance in the course of training, where 90% of the time students studied independently, it was established that the use of a technological educational model had a positive effect on the critical thinking of students of HEIs, and as a result, the effectiveness of their self-study.

Crises like COVID-19 affect organizations as well as employees' well-being. Leaders, in this sense, have a critical role to play in reducing the challenges and promoting a healthy workplace. With employees feeling overwhelmed and anxious to cope, leaders should provide the appropriate support and guidance. This quantitative study examined the relationship between different leadership styles, which are participative, directive, supportive, and Laissez-Faire, and teachers' well-being in the United Arab Emirates (UAE). The study adds insights into the UAE's public school context, where 101 teachers were surveyed following a snowball sampling technique. Findings revealed that Laissez-Faire and directive styles were the most dominant among the four leadership styles examined. In terms of the relationships between leadership styles and well-being, correlation and regression analyses were done through SPSS, and findings from the Generalized Linear Model analysis revealed that although the four styles correlated positively with well-being, the participative leadership style had the most decisive influence. The results showed that none of the demographics had any significant influence on well-being, and no differences in well-being in terms of demographics were reported.

This study aims to identify students' styles of career choices. The second aim is to investigate what factors influence career choice style. The third aim is to determine whether all students of education programs want to become teachers one day. This research model is a relational model that uses multinomial logistic regression. The research population was Universitas Negeri Semarang (UNNES) students of education programs from five faculties in 2018. The number of people in the population was 4,531, and the participants were 220 students. The data analysis consisted of the multinomial logistic regression method. The results showed that the model met the requirements for use. Factors affecting career decisions are gathering information, locus of control, decision-making speed, and aspiration of an ideal career. Career choice has five styles: rational, intuitive, spontaneous, dependent, and avoidant. Accordingly, the spontaneous style is most commonly used by students. The other result shows that the factor that most influences students in choosing a style is pursuing an ideal career.

Several reforms have been introduced to help enhance Vietnamese people’s English competencies. However, research on what reforms Vietnamese teachers support or resist is limited. Also, the impact of teachers’ demographic information on their responses to reforms is underrepresented. This mixed-methods study used a questionnaire, responded by 102 English as a foreign language (EFL) teachers, and six semi-structured interviews to address the gap. The results revealed that the teachers supported the reforms in their teaching context. They preferred using their self-developed or self-adapted materials to using required materials. On the other hand, using the VSTEP framework for designing tests was not supported. Teachers’ demographic information, especially educational qualification, significantly differed one’s responses to reforms from those of another. Some practical implications were discussed at the end of this paper. Also, some recommendations were presented to be considered for further studies.

This study examined students’ calibration of performance in a sport skill in relation to their performance in an executive functions test. A total of 265 students in the fourth, fifth, and sixth grades participated in the study. The students took an executive functions test, and then they were tested on a basketball shooting test, after having provided a personal estimation regarding their performance. Based on students’ actual and estimated performance, the bias index was calculated to classify students into three categories; accurates, underestimators and overestimators, while the accuracy index (absolute values of the bias index) was also calculated. The results showed a positive but small magnitude relation between students’ scores in the executive functions test and their performance calibration, while accurate scored higher on the executive function test compared to over estimators and under estimators. These results are similar to those of previous studies with elementary school children that employed cognitive tasks and were discussed with reference to theoretical and empirical implications.

This study is qualitative with descriptive and aims to determine the process of generalizing the pattern image of high performance students based on the action, process, object, and schema (APOS) theory. The participants in this study were high performance eighth-grade Indonesian junior high school. Assignments and examinations to gauge mathematical aptitude and interviews were used to collect data for the study. The stages of qualitative analysis include data reduction, data presentation, and generating conclusions. This study showed that when given a sequence using a pattern drawing, the subjects used a number sequence pattern to calculate the value of the next term. Students in the action stage interiorize and coordinate by collecting prints from each sequence of numbers in the process stage. After that, they do a reversal so that at the object stage, students do encapsulation, then decapsulate by evaluating the patterns observed and validating the number series patterns they find. Students explain the generalization quality of number sequence patterns at the schema stage by connecting activities, processes, and objects from one concept to actions, processes, and things from other ideas. In addition, students carry out thematization at the schematic stage by connecting existing pattern drawing concepts with general sequences. From these results, it is recommended to improve the problem-solving skill in mathematical pattern problems based on problem-solving by high performance students', such as worksheets for students.

In today's World, data-driven methods are behind the determination of potential action plans in every area of life. These data-driven methods help individuals or policymakers to figure out the strengths and weaknesses on the subject that are worked on and to make a comparison to the best practices. Thus, actions can be taken immediately on the specific factors that have a huge impact on the topic investigated. In the educational area, countries are using the same approach to measure, monitor, and improve the quality of education by attending international studies. In this study, for both Turkish and Singaporean students, Artificial Neural Network (ANN) model is performed to predict the students' mathematics achievement and to identify factors that have a high impact on achievement using Trends in International Mathematics and Science Study (TIMSS) in 2019 with the data of 3,586 Turkish and 4,750 Singaporean students. The reason behind comparing the results of Turkey to Singapore is that Singapore is the best-performing country in terms of mathematics achievement in the TIMSS in 2019. The model results show that the top two crucial factors in both countries are the frequency of absenteeism from school, and students’ confidence in mathematics with the accuracy of 75%. In addition, relevant policy implications are given based on the importance level of significant factors.

The evolution of the COVID-19 pandemic has affected various aspects of human life, with numerous activities carried out through networks, including education. Lecturers need to change their teaching strategies to make students able to accept the material provided. On the other hand, students must manage their lives without being limited by space and time to avoid stress and cyberloafing, especially in the academic field. Cyberloafing is the act of accessing the internet during study hours for personal interests. Therefore, this research aims to determine the effect of academic stress on cyberloafing and whether fatigue is a mediating variable between both factors. Data were collected from 284 students studying in Bandung, West Java, Indonesia. The results showed that the academic stress felt by students has a positive and significant effect on cyberloafing behavior. Although fatigue positively affects both factors, it does not mediate the relationship between them. The managerial implications in this research are expected to be used as material for evaluating online learning methods for students, as well as to make them aware of the negative impact of cyberloafing behavior during lectures.

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

In the vulnerable and unstable contexts that characterize populations in mobility between countries, especially immigrants and refugees, the second language learning has assumed new traits of difficulty. To help the new generation of learners, mainly with origin in forced immigration, the mobile-assisted learning helps motivation for language learning and reduces anxiety related to language acquisition. Attending to this challenge educational scenario, this review study presents a literature systematic analysis and a concrete technology tool that advocates the student-centered approach. A mobile pedagogical plan was developed for the learning of European Portuguese as a Second Language and as a Foreign Language. A critical review of 38 studies was conducted to understand how the mobile-assisted learning responds to the inclusion and education, especially concerning minorities. Based on previous empirical data with 108 immigrants, we understand the type of tasks that new immigrants have more difficulty learning in Portuguese. It was developed as a mobile app for Android, IOS, computers and tablets: the GoGenius app. In mobile format, individuals can access fourteen themed units with a symmetrical game architecture. These games focused the tasks and themes with priority for new language learners who recently arrived in a hosting country. These units involve a consistent number of working hours that intentionally intend to complement to the contact hours that the subjects have in classroom contexts or in unstable communication contexts (daily communication). This technology project aims to match “tailored” psychological and technological resources. Flipped classroom approach showed how mobile-assisted learning reinforces the educational goals worldwide, specifically for language learning. However, mobile tools should be well structured and centered on students’ needs, especially with migration backgrounds.

Teaching a subject in a vocational high school (VHS) requires specialized instructional design strategies. Recently, instructional VHS used a computer-based platform to teach theory and practice. The computer will assist teachers in creating instructional media. This study aims to design augmented reality-based virtual laboratory media for electro-pneumatic practicum learning in order to ease teachers and students to learn the pneumatic practice. It is specially designed for practical learning purposes. The method used in this research is research and development. The assessment results from Instructional design experts 4.5, material experts 4.5, media experts 4.4, and language experts 4.8. Based on the assessment of experts, this augmented reality-based virtual laboratory media is feasible to use. Next, the results of this study are a prototype of students' pneumatic practice tools installed on mobile phones consisting of eight worksheets. In the designed augmented reality media, 1) 3-dimensional pneumatics can be rotated in all directions so that students understand. 2) Pneumatic job sheet, where on the augmented reality media designed for the simulation circuit, there is an explanation of the components and how they work, and a simulation through markers.

Digital puzzle worksheet (DPW) is innovative teaching material designed using open-source software such as Canva and Liveworksheets. Subsequently, puzzle games in the form of questions can improve problem-solving skills by engaging in metacognitive processes. This research used a case study method to describe the impact of applying the DPW to identify the metacognition levels of students through the assignment of contextual maths problems. The source of informants was third-grade elementary school students in West Java, Indonesia. Test instruments, observation sheets, and interviews were used, while data analysis adopted an iterative model. Furthermore, the method and time triangulation increased confidence in the resulting conclusions. The results showed that male students were at the metacognitive level of ‘strategic use’ and ‘aware use’ for females, based on the characteristics of the observed metacognitive level. The most prominent feature was identifying and determining problem-solving strategies with metacognitive awareness. The reaction of students to the DPW improved problem-solving abilities, expanded conceptual understanding, and enhanced digital technology competence. Therefore, this experience was applied when solving contextual mathematical problem assignments.

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

Lesson study, observation and analysis are relevant to professional development and initial teacher education. As a strategy, it helps to bridge the gap between theory and practice. The health conditions brought on by the COVID-19 pandemic forced the restriction of the tutors’ direct observation of preservice teachers at school. This study analyses preservice teachers’ performance through video observations to evaluate their professional activity at school during the COVID-19 pandemic. The Fifteen Items Revised Tsang-Hester Observation Rubric (FIR-THOR) was administered to a sample of 166 preservice teachers in their internship schools and their video recordings each one of 45-minute teaching lessons were analysed. The results show that the FIR-THOR appears as a robust instrument, which allows us to conclude that the instrument works well in the three five-items dimensions that compose it - Instruction, Management, and Assessment - proving to be reliable for assessing teacher intervention in the classroom. Among the three dimensions, the preservice teachers’ performance stands out in the Management of the classroom, as well as in the classroom Instruction. This contribution is relevant considering the potential of lesson analysis in learning and professional development during initial teacher training.

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance.

The current study investigates the psychometric characteristics of the Social Support Scale as an instrument for assessing social support for academics. The original version of the scale was adapted and translated into Indonesian and was administered to academics in Indonesia through a google form. The data were then analyzed to investigate the reliability, construct validity, and structure of factors of the instrument. Confirmatory factor analysis confirms that the three-dimension model was the best model regarding the internal structure. Our findings also advocate the Social Support Scale as a valid and reliable tool for assessing social support in Indonesian academics. Thus, it can be employed to examine lecturers’ social support level which helps the universities to build a supportive working climate, as well as improve the relationship quality between employees.