The Indonesian government has declared a strong commitment to information and communication technology (ICT) education reform but has made meager progress due to inconsistent education policies, fragmentary technological infrastructure, and ill-prepared teachers. Despite these obstacles, young people in Indonesia have embraced smartphones and related technologies as important means of maintaining their socially integrated lifestyles. This project sought to measure the adoption of smartphone technologies among pre-service teachers as part of their broader ICT consciousness and teaching. We examined the ICT competencies of 220 pre-service teachers at two state universities in western Indonesia. A questionnaire was distributed to the participants toward the end of the students' final practicum during the COVID-19 closure of the schools. Results showed very high use of smartphones in private contexts, infrequent use of laptops and desktop computers, a strong rejection of institutionally available (or often unavailable) devices and services, and a skewing of ICT skills toward tools available on smartphones, especially those accessible through social media platforms.

The greatest impact of the COVID-19 pandemic on Indonesian education was the decline in teacher performance. In light of this information, this study analyzes the role of supervision, salary and benefits, school climate, training and development, and perceived organizational support in moderating the impact of competence on teacher performance during the COVID-19 pandemic. This study also compares the relationships between employed government and private teachers. Data were collected through questionnaires to teachers with a sample of 166 government teachers and 175 private teachers in primary and secondary schools through a Google form and analyzed using moderated Structural Equation Modeling-Partial Least Square (SEM-PLS), multigroup, and multilevel analysis. The results showed that salary and benefits, training, and development did not affect the performance of public school teachers. In contrast, only salary and benefits did not affect teacher performance for private teachers. Moreover, only supervision significantly moderated the effect of competence on the performance of public school teachers. However, supervision, salary, benefits, school climate, training and development, and perceived organizational support did not affect private teachers' performance. The Ministry of Education or the Foundation needs to review and improve the mechanisms of training and development, supervision, and school organizational climate to promote optimal teacher performance during the pandemic.

By the spread of COVID-19, the entire world shifted suddenly to e-learning including schools. This study aims to find ways to enjoy teaching. Gamification in education refers to the introduction of game elements in non-game environment. A case study was adopted for this study as a qualitative approach to investigate the possibility of improving motivation. The study was conducted in the first and second semester of the 2020/2021. The sample consists of (6) participants of pre-services teachers studying in special education course for 15 weeks. Data were collected through semi-structured interviews. The result of the interview showed that there is a clear desire among the students to succeed during learning using game elements. Their desire is very clear and higher. Most of them became active during their learning. They enjoyed learning in gamified learning environment. The researchers recommended that the Ministry of Education should train teachers to employ game elements to motivate their students.

It is important for students who learn history to have the skills to think, read and analyze historical sources because past events can only be reconstructed and understood from these numerous resources. Various media methods are needed to support the development of these skills, especially in online learning. Therefore, this research aims to create a virtual field trip (VFT) based history learning media to help students improve their thinking skills using primary source evidence. It was carried out by using the research and development (R&D) method consisting of four stages, namely analysis, designs, conducting trials, and testing media effectiveness. The sample subjects consisted of six teams as expert validators, seven history teachers, 70 and 280 Class X students who assessed the product's practicality and determined the developed media's effectiveness. Data were collected through expert validation, student and teacher response questionnaire sheets, as well as description exams. The level of validity and practicality of the medium were determined using descriptive analysis, while the N-Gain approach evaluated the media's effectiveness. The expert validation result is very good, with an average score of 3.77. The teacher and student response tests showed an average score of 4.67, indicating that the VFT medium is practical for learning history. The N-Gain value of 72% showed that the students' abilities to use primary source evidence are increasing. Therefore, using VFT based history classes to develop explanation skills using primary source evidence is feasible, practical, and useful.

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.

Education in public speaking often relies largely on qualitative feedback. In this study, we explored how a numerical feedback form based on a validated scale could be used in an educational public speaking program. Data were collected at three clubs of Toastmasters International. Speech content was labeled to enable statistical analysis of correlations between speech content and audience ratings. 216 speeches by 59 speakers were evaluated by audience members, providing 1416 individual evaluations. All rating categories correlated strongly with each other. Speeches mentioning relationships, personal stories and positive emotions were rated more favorably. Speeches given in-person were rated more highly in several dimensions compared to speeches given through online video. There were some sex differences in choice of content and emotional expressiveness, but not in audience ratings of speech quality. Overall, the study found that the method was useful for both providing individual feedback and aggregated data for research purposes.

School quality has become a guiding concept that increasingly shapes educational planning and school development. For many decades, it has been a topic of significant interest, resulting in a wide-ranging and diverse research field. However, it is far from clear how school quality should be defined, what it should encompass, and how it influences student performance. The goal of this scoping review is to examine the existing evidence of the relationship between characteristics of school quality and student cognitive output/ student performance in secondary school. More precisely, it aims to (a) identify, (b) categorize, and (c) examine and evaluate the effects of characteristics of school quality affecting student performance and teaching characteristics in secondary school. In order to achieve these aims, we selected, clustered, and analyses 37 articles. The process was conducted by the research group through regular meetings, discussions, and consensus decisions. Our findings contribute to the comprehensive body of literature by identifying the following dimensions: aims and strategies for quality development, leadership and management, professionalism, school culture, and resources. Furthermore, the review revealed that although the field of school quality has been extensively researched, it lacks consistency, with many different operationalisations and definitions, making comparisons and syntheses challenging or even impossible. We believe that clear operationalisations and definitions are crucial to achieving comparability. Additionally, to achieve a standardized understanding of school quality and establish the categories internationally, uniform, theoretically sound, and content-related definitions of each category are necessary.

The study aims to point out direct and indirect correlations between others' roles on career self-efficacy, and career self-management. This research uses a multifactor correlational model, samples were 342 students. The research instruments are Career Self-Management Self-Efficacy Scale (CEDLE-Scale), Career Decision Self-Efficacy (CDSE Short-Form), and Role Model Influence Career Decisions Scale (RIMICDS). Data were analyzed using path analysis with AMOS 23. The findings show that 1) the variable of others' role directly influences career self-efficacy; 2) career self-management directly influences the career self-efficacy on career self-efficacy; 3) others' influence on career decision directly influences the career self-management, and 4) others' role on the career decision indirectly influences self-efficacy moderated by career self-management. Support, guidance, and inspiration from others will ease someone in deciding on a career. Guidance for managing a career will improve career self-efficacy. It will then positively contribute to the self-confidence to pursue the career.

After months of 100% online teaching due to the pandemic produced by COVID-19, the return to face-to-face classes is being experienced. This study focused on finding the English as a foreign language (EFL) University professors’ perspectives of online education during that time. The information was collected from three Ecuadorian universities: The Technical University of Ambato, The Higher Polytechnic School of Chimborazo, and The University of Cuenca. The survey was designed with 26 questions about professors’ perceptions of online teaching and its impact on their pedagogical practices, affective factors, and student achievement. Software R, and the Cronbach's alpha tests were used as statistical tools, along with Kendall's Tau_b, and the Kruskal-Wallis test. The results showed that teaching online not only represents a solution in cases where face-to-face education is not possible, but also offers teachers the opportunity to experience the benefits of using technological tools and innovative strategies. Although some drawbacks, such as lack of time and real interaction were encountered, online teaching resulted in an alternative methodology that engaged learners.

Although the central role of classical mechanics in physics teacher education is undisputed, divergent interests and perspectives from different disciplinary cultures might exist when thinking about how to best support pre-service teachers' professional development. In this article, we report the results of an exploratory mind map study to investigate which classical mechanics topics are regarded essential for physics teacher education according to N = 29 experts from different physics disciplines. The participants’ mind maps were analyzed using a category system and frequency analysis was applied. The results hint at similarities and differences in terms of key topics to be addressed in physics teacher education on classical mechanics according to experts from different physics disciplines, e.g., in terms of the depth of mathematics considered relevant for physics teacher education.

This study seeks to investigate the relationship between dropout intent, the weekly work duration of student employees, and university social capital by analysing empirical evidence from three European countries, including Estonia, Lithuania, and Poland. This exploratory study utilised Eurostudent-VII survey data and employed cross-tabulation and exhaustive Chi-square Automatic Interaction Detection (CHAID) to achieve its objectives. Findings indicate that student employees who believe they get along well with their teachers and have more connections with fellow students to discuss subject-related issues are less likely to intend to drop out of university. In addition, the results show that students’ likelihood of abandoning their higher education increases in the presence of difficulties caused by an inapt academic programme. Regarding employment duration, for the Estonian and Lithuanian markets, there is no difference between working more than 20 hours per week or less than that with the intention of dropping out of university. In Poland, however, the disparity in working hours interacts with other factors related to social capital to explain dropout intent. These findings provide novel insights into the dropout literature by refreshing thoughts on the role of teacher-student and peer relations in the dropout intentions of student employees. In addition to reviving the relevance of university social capital, which has received too little attention lately, they have also sparked a recent debate on whether or not combining work and university actually affects the intention to drop out.

The fundamental challenge in implementing inclusive schools is related to accepting students with special needs by other students. Lack of acceptance and respect for differences often trigger acts of bullying. There are insufficient studies describing that the perpetrator of bullying in school is a student with special needs. This study aims to measure the effectiveness of the educare program in improving students' pro-social attitudes to prevent bullying in inclusive schools. The Educare Program consisted of four lesson plan themes and became a treatment instrument. Single subject research (SSR) was used for the research method, implementing the baseline-intervention-maintenance (AB+M) phase with multiple baselines across subjects. Three students, including a student with a disability and a low pro-social attitude, were the subjects of this study. The data were collected through observation and analyzed through graphical visual inspection focusing on trend, level, latency, and percentage of all non-overlapping data (PAND). The results of the study presented in polygon graphs and PAND showed that the Educare Program is very effective in increasing students' pro-social attitudes. Almost all scores of pro-social attitudes obtained through trend with PAND reached 96.11%.

In recent years, educational robotics has gained ground in educational policy around the world, and primary education is no exception. However, there has not yet been a thorough synthesis of methodologically appropriate empirical research on the effects of robotics upon cognitive performance among primary school students, which this paper attempted to do. Following literature screening, a total of eight studies published between 2018 and 2022 with a sample size of 567 children met inclusion criteria and were meta-analyzed. Resultantly, a medium aggregate effect size in favor of robotics experiments emerged (standardized mean difference of .641), which was significantly higher compared to non-robotics learning (p <.01). No between-study heterogeneity was detected. Subgroup analysis revealed a slightly larger overall effect for interventions on first- to third-graders rather than those in grades 4-6. Additionally, the analysis indicates that in order to enhance cognitive abilities in primary students, robotics interventions should be no longer than four weeks and involve robot construction. Based on the findings, implications, and suggestions are outlined for future research and practice.

This study aimed to explore the implementation and impact of the Flipped Learning Model (FLM) and STEM Approach in elementary education. The advancement of technology and the Covid-19 pandemic has increased the importance of e-learning, including in elementary schools. The literature review analyzed 193 academic works published in the past six years using NVivo, Mendeley, and VOSviewer software. The validity of the data was verified through the analysis of five online databases. The results showed that STEM research has been well-developed with innovative approaches that improve learning outcomes, while FLM research in elementary schools is limited. The study suggested that combining FLM with STEM Approach (FLM-SA) can optimize learning in the technological era. By integrating FLM-SA, students can engage in active learning experiences in class and acquire fundamental knowledge outside of class, offering a solution to e-learning challenges. The study emphasized the strong connection between FLM and STEM Approach and how they can support each other to enhance student learning.

Industry 4.0 has affected various aspects of life, including the organization of higher education. In the current era, higher education is required to transform themselves from using the conventional way of administration to the digitalized one. The said transformation also includes the services provided and management carried out by the organizations. The objective of this study is to measure the understudied mediation of digital innovation in the effect of the nexus of digital leadership and digital literacy on the performance of higher education. This quantitative research was conducted by distributing questionnaires to 234 faculty members of four higher education institutions in Malang City, Indonesia. Partial Least Squares – Structural Equation Modeling was applied to analyze the data. This study finds that digital leadership significantly affects the higher education performance and conclusively predicts digital innovation. As hypothesized, digital literacy has a significant effect on the higher education performance and digital innovation, and digital innovation plays a substantial role in the higher education performance. In addition, digital innovation mediates the influence of digital leadership and digital literacy on the higher education performance.

The aim of this exploratory case study is to investigate the impact of the pandemic as an unexpected situational variable on university instructors’ perceptions and attitudes towards technology integration, as well as their foresight about the future of education in post Covid-19 era. The data for the study came from autobiographies, narratives, and opinionnaires. The findings revealed that the degree of familiarity with educational technology and eagerness to integrate technology into education made a difference in academicians’ adaptation to the new mode of delivery. As for their predictions for the future, an increase in the use of educational technology not only in teaching, but also in testing and assessment is expected. Participants also emphasized a need to enhance the infrastructure to avoid any further technical issues and offer continuous development opportunities for teachers and students to become familiar with new technologies.

The objective of this study is to create a tool for evaluating teachers’ effectiveness in boarding schools. Planning and preparation stages, instrument testing, and measurements were used in this study to implement research on the creation of the Mardapi model instrument. In order to generate instrument items, the planning and preparation stage tasks included a literature assessment of teacher performance appraisal manuals. Data were gathered utilizing documentation approaches, and descriptive and qualitative analysis was performed. Six specialists validated the built instruments, which were subsequently put through limited testing at two boarding schools and extensive trials at nine boarding schools in Surakarta residency area. The Aiken formula was used to examine the expert’s evaluation data, and confirmatory factor analysis was used to analyze the test results. The results of this study indicate that the instrument for assessing teacher performance in boarding schools meets the validity criteria. This is indicated by the existence of loading factor values ranging from .51 to .72 (>.4) and t-sign values ranging from 4.75 to 9.25 (>1.96) and meeting the requirements of a fit model since Chi-square = 1307.95 < 2524 (2*df), p-value = .17956 (>.05), and RSMEA value = .014 (<.08). The instrument items are reliable assessment packages, and this is shown by the reliability value of omega .967 > .70. Because there is a guarantee of validity and reliability, the test can be used to further assess teacher performance in boarding schools.

Reflective practices have been recognized as a predictor of professional development because they favor teaching changes that improve the students’ learning. The expressions reflection, practice, and reflective professionals are very present in training programs, but with a diversity of meanings and interpretations. The concept of reflection is linked to professional development and teaching identity. The goal of training reflective teachers is shared on an international level, however, the educational conditions that favor a positive attitude toward reflection have not been sufficiently researched. This article aims to describe the obstacles to a positive attitude toward reflection in pedagogy students according to their teachers. This study is qualitative with an interpretive approach for which an instrumental case study was conducted with 15 university teachers in six Chilean regions.  The results show that both inter-institutional conditions negatively affect attitudes, as well as the lack of models of reflective practice, insufficient teaching, the way teacher reflection is evaluated, and the barriers to reflective practice in schools. The results indicate the need to intentionally teach pedagogical reflection practices and help to recognize its benefits for teaching.

Technology integration into learning is essential to supporting educational reform. On the other hand, the relationship between self-regulation (SR), technology integration self-efficacy (TISE), and technological pedagogical content knowledge (TPACK) has yet to be thoroughly studied. This study investigated preservice elementary teachers and the connection between SR, TISE, and TPACK. A quantitative approach and a survey-based approach were both utilized in the research project. The research was carried out at one of Indonesia's universities, and the data collected were from 224 preservice elementary teachers in their fourth year through a questionnaire. According to the findings, preservice elementary teachers' SR, TISE, and TPACK levels were above average. Preservice elementary teachers scored the highest on planning capability (PC), monitoring and controlling skills (MC/CC), and making others use computer technologies self-efficacy (MUCTSE). In contrast, they scored the lowest on information and communication technology (ICT). Besides that, SR and TISE positively and significantly affected pre-service teacher TPACK. In light of the findings, it is of the utmost importance to enhance the competency of preservice elementary teachers in using technology to integrate learning.

This study aimed to investigate the relationship between teacher professional development, quality of lecture design, student engagement, teacher technical skills, pedagogical content knowledge and teacher satisfaction in using Artificial Intelligence (AI)-Powered Facilitator for designing lectures. The study used a non-random sample technique, and 208 participants answered a survey via Google Form after one semester, using a 5-point Likert scale to rate their responses. The structural equation model was used to analyze the data, and six factors were included in the study. The study confirmed hypotheses that teacher professional development, quality of lecture design, student engagement, and pedagogical content knowledge have a positive effect on teacher satisfaction. However, the study also revealed that teacher technical skills have a negative effect on teacher satisfaction, and pedagogical content knowledge has no significant effect. The proposed conceptual model explained 55.7% of the variance in teacher satisfaction Theoretical and practical implications were also discussed. These findings provide insights into the factors that contribute to teacher satisfaction in utilizing AI-Powered Facilitator for designing lectures and could inform the development of effective teacher training programs.