The paramount objective of English language teaching and learning is to achieve language competence in communicative purposes with the minimal learners’ errors. To attain that goal, corrective feedback plays an important role due to its efficiency in developing learners’ English capacity. However, the correlation between language students’ and teachers’ views on the issues of corrective feedback including its types, methods and timing has received inadequate attention from educational scholars. This study, therefore, aimed to examine teachers’ and learners’ perceptions of corrective feedback at a higher education institution. The research employed the mixed method with the participation of 425 law-majored sophomores. Specifically, the statistics involved the survey questionnaires, follow-up interviews with students as well as the interview with thirteen teachers of English. The results indicated overall matches between learners’ and teachers’ high remarks on the necessity of oral corrective feedback in the students’ English acquisition. Notably, they both highly valued the use of metalinguistic feedback, prompt feedback for grammatical and lexical errors while explicit correction and recast were preferred for phonological errors. In terms of feedback timing, students were perceived not to be negatively affected by immediate correction, yet expressed their preferences for the delayed corrective feedback, which was compatible with teachers’ views. Such findings set practical pedagogical implications for language educators in the language teaching and learning process.

This study was conducted following the initial stage of the transition to distance education necessitated by the onset of the COVID-19 pandemic and meeting the various challenges that came with it. At this point, countries and teachers have gained experience in preparing and delivering online education. Therefore, the study aimed to identify the beliefs of primary school mathematics teachers about teaching in synchronous virtual classrooms. It adopted a mixed methods approach, following a convergent parallel design. The overall study sample comprised 410 male and female teachers. A questionnaire was used to collect quantitative data across three dimensions (teaching efficiency, employing the philosophy of active learning, mathematical achievement). There were 31 items (verified for validity and reliability) comprising statements measured using a five-point Likert scale, together with open-ended options for further elaboration. In total, 130 teachers completed the questionnaire. Interviews were conducted with 10 teachers to collect qualitative data. The results show means in the range 3–5.75 for agreement with statements concerning the beliefs of mathematics teachers about teaching in virtual classrooms in the following order of importance: teaching competence; mathematical achievement; employing the philosophy of active learning. The study also found no statistically significant differences attributable to the variables of gender, qualification, or teaching experience, and also that many factors are considered to affect teaching in synchronous virtual classrooms related to the teacher, the family, and the student.

This study aimed at exploring teachers’ perceptions of reflective teaching strategies in their teaching practice and the barriers that hinder the implementation of reflective teaching strategies. Quantitative and qualitative data were obtained by using a questionnaire and semi-structured interviews. The study took place in the context of high schools in most of the provinces in the Mekong Delta. The respondents involved in this research were fifty English as a foreign language (EFL) high-school teachers. The results revealed that most teachers have positive perceptions of the significance of reflective teaching strategies in their teaching. At the same time, the participants found barriers preventing them from implementing reflective teaching strategies in their language teaching such as lack of awareness of reflective teaching strategies, time or workload limitations as well as some obstacles related to the application of peer observation as a strategy of the reflective process. Finally, accordingly, the findings gained from two types of research tools, some pedagogical implications, and research suggestions on the effectiveness of EFL teachers’ application of self-reflection strategies in the teaching-learning process were proposed in the study.

COVID-19 pandemic forces training for principals to be conducted online. This study aims to evaluate the context, input, process, response, study, behavior, and outcome to determine the effectiveness and make recommendations for training. The approach used in this study was a mixed method with a concurrent embedded design and a qualitative method as the main method. The subjects of this study were the principals, committees, and instructors. Data were collected through interviews, observations, and questionnaires and analyzed using Miles and Huberman's model, descriptive analysis, and a t-test. The results show that e-training is effective in context, input, and process. Response, learning, and attitude assessments prove that knowledge, skills, and attitude have improved. Participants will be able to implement the experience gained and impact school quality improvement. This study contributes to the combination of the two evaluation models proven to produce a complete result. The study for the e-training recommends needed assessment before the training, the activity before the training to acquire the skills in using the learning management system, and the monitoring and evaluation after the training.

The pandemic era has caused changes in the learning system. The situation demanded online learning and triggered students to have learning difficulties. The research aims to examine the impact of social media, social environment, and student learning potential on student learning difficulties. This study utilizes a quantitative approach. The respondents were university students experiencing online learning in West Java, Indonesia. A questionnaire validated by four experts was distributed to 539 of them. Accommodating structural equation modeling (SEM) by evaluating the measurement and structural models was used in data analysis. This study revealed that the instrument had good construct validity and reliability. A good instrument will produce a good measurement process so that the instrument can get the data needed. Hypothesis testing shows that high media activity can inhibit students from learning. However, social media activity directly influences learning difficulties. Meanwhile, the variables of learning potential and social environment positively influence student learning difficulties directly or indirectly. There are a few things to note on learning potential, social environment, and social media to delve into their influences on students' learning difficulties.

Under the influence of neo-liberalism and marketization, education is increasingly becoming more content-focused than character one. Ignoring the fact that money, science, and technology may take a person to the moon, these are ethical and moral values that take him/her to the even loftier heights of humanity. Recent COVID-19-driven focus on information and communication technology (ICT) and digital learning have further added to these woes by focusing more on human-machine interaction than human-human ones. Traditional models for inculcating these values through education which heavily rely on the physical presence of teachers do not seem to work in these circumstances. This demands a model for inculcating these values in learning management systems/ e-learning platforms. This study contributes in this regard by first identifying key players and factors, and then proposing a model for it. Using the Delphi model, it gathers opinions from 59 experts in two rounds. Academic institutions, society and online community members, teachers, and e-contents were identified as key factors and players. It suggests a holistic approach-based model through which all of them play their role and collaborate through an e-learning platform. That platform can be used to disseminate information, create awareness, monitor, and report the e-learners. It uses pull and push strategies to help the e-learners to develop those values.

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.

This paper discusses the development and validation of a concept inventory for interpreting kinematics graphs in the Tanzanian context. The study involved 61 participants comprising physics pre-service teachers, secondary school teachers, diploma college tutors, and a university lecturer from Tanzania. We developed 25 multiple-choice questions for interpreting kinematics graphs. The different steps in the development process used are selecting the topic, setting objectives, constructing questions, validating questions, and reliability testing. We carried out descriptive and inferential statistical analysis by using Statistical Package for Social Science (SPSS) version 22 followed by item analysis for pre-and post-piloting. Findings revealed normal distribution scores with a mean and standard deviation of 39.28±10.893 for pre-piloting and 40.16±8.08 for post-piloting. It also revealed no significant difference between pre-and post-piloting results with a p-value of 0.414.  In addition, correlation coefficients for test re-test reliability were .783 and .878 for single and average measures respectively. Moreover, item analysis in terms of difficulty index, discrimination index, and distractor efficiency agreed with the published standards. Based on these findings, the study recommends the use of developed and validated kinematics graphs concept inventory by physics educators in both research and classroom instructions in the Tanzanian context.

The quality of higher education is vital for a country’s future, not only in terms of transferring knowledge to younger generation but also for supporting economic development. This paper applies data envelopment analysis (DEA) to evaluate the relative efficiency of 38 academic departments at Sepuluh Nopember Institute of Technology, Surabaya, Indonesia. The input factors are the number of lecturers, the number of staff and budget allocations, whereas the output is the performance achievement level. The empirical analysis incorporates two traditional DEA models: the Charnes, Cooper and Rhodes (CCR) and the Banker, Charnes and Cooper (BCC) models with input orientation. The results indicate that the CCR model considers five departments efficient while the BCC model considers ten departments efficient, five of which are those considered efficient by the CCR model. It may seem counterintuitive that a department with an output performance achievement below 100% is deemed efficient, and vice versa. However, the underlying principle of efficiency under input-oriented DEA model is resource utilization. Finally, we provide recommendations for the departments with low efficiency scores to improve their performance.

Education delivers systematic instruction so effective learning acquisition may take place. It molds students into holistic well-being to contribute to various industries; hence, relevant competencies are developed. Strengthening education significantly encompasses the production of formfitting and distinct instructional materials to invite a sequential way of presenting quality instruction. This research is focused on knowing the effectiveness of the modules developed in Human Resource Management for Filipino business students. Specifically, it is developmental research and utilizes a pretest and post-test control group design. Numerical data were supported by phenomenological interviews, strengthening the study's results. It involved 80 college students classified as the experimental and control group. Moreover, the interview includes 10 participants. Findings reveal that utilizing the modules realized the increase in performance of the experimental group due to their exposure to the materials. However, one of the pitfalls has been revealed in utilizing self-directed learning material; thus, academic performance will only improve if students are organized to set their own goals and learning pace. Using outcomes-based instructional materials leads to substantiating learning, effectively enticing learners' interest. It maximizes students' motivation and participation since topics are well-planned and designed comprehensively. The materials are an essential tool in inviting the enthusiasm of business students to engage in learning. These are valuable means to encourage independent learning without sacrificing the competencies to be learned and applied by the learners.

The peer tutoring approach is a student-cantered teaching method in which students learn in pairs with teacher supervision. The study discussed in this paper is a systematic literature review related to the effectiveness of peer tutoring approaches which has been published within the last 5 years. A complete text analysis was conducted using 20 research papers stating the impact of the peer mentoring approach for this writing. Among the things obtained from previous studies are the variety of ways to implement peer tutoring approach, the impact on 3 aspects in students which are mathematical achievement, social skills and cognitive skills and the teaching theories used. The findings of the study indicate that most past studies used quantitative research methods with the concept of age peer approach. Then, constructivism theory was the most frequently applied with a sample of high school students. In conclusion, this systematic literature review shows that the peer tutoring approach in mathematics education has many benefits in various aspects and needs to be extended to improve the quality of education.

The purpose of this research is to strengthen pedagogical content knowledge (PCK) in designing laboratory activities based on small-scale chemistry approaches. This research is action research involving 60 trainee teachers with stages that include (a) Reflect; (b) Plan; (c) Act; (d) Observe; (e) Reflect (2nd); (f) Plan (2nd). Qualitative data were collected through (a) Questionnaires reflecting on experiences in practicing chemistry learning and responses to the importance of learning, (b) a Portfolio of chemistry practicum design, (c) documentation of the process of carrying out design, implementation, and practicum evaluation activities, (d) field notes, (e) reflection sheet, and (f) Portfolio of follow-up plans. The data is displayed through the R computation system with data pre-processing stages in the teacher's reflection text which includes basic cleaning, case folding, normalization, stemming, and deleting meaningless words. Display data in the form of word clouds, frequency expression diagrams, and tabulations. Descriptive narratives are used to analyze the documentation obtained in the action process. The teacher group demonstrated performance in implementing small-scale practicum activities. Teachers are increasingly skilled in modifying conventional laboratory equipment, minimizing the amount of chemical use, minimizing waste disposal, and increasing efficiency in the duration of practicum implementation. The follow-up plan for this activity includes quality improvement in aspects of (a) skill in using laboratory equipment, (b) understanding of chemical concepts, (c) equipment availability, materials, and work procedures, and (d) implementation of chemistry practicum.

Teaching and learning new songs in class is an integral cultural practice. This paper focuses on a singing lesson and studies the complex relations among the target song, children’s song acquisition and the teacher’s instructions. However, instead of simply examining pitch accuracy or ratings, this paper proposes a novel methodology for analysing song learning in class. First, a transcription method is used to document a video-recorded lesson. Second, syllables are identified as both the essential components of the grammar of songs for children and the fundamental units for analysing singing in terms of pitch, timing and articulation. The individual singing of three children, divided into the syllables of the target song, is examined for these three properties. Third, a comparison between the song model and the children’s singing reveals how rule-breaking in the song corresponds to the children’s difficulties in singing. This detailed and subject-related analysis exemplifies the complex dynamic among the teacher, the object and the learner and is a contribution to the research of subject-related didactics.

This study sought to investigate the current state of innovative teaching research and identify emerging themes and trends in the field from 2013 to 2023. The Scopus database was searched for the term “innovative teaching,” resulting in 1005 documents. After manual screening, 903 articles were exported in the BibTeX format for further processing in Bibliometrix using three bibliometric analysis types: network analysis, science mapping, and performance analysis. Performance analysis revealed bursts in publication output in 2015 and 2021, with a moderate boost in 2018. Ten top-cited journal papers were identified. The citation rates were low between 2019 and 2021, but there has been an upturn since 2022. The top keywords included simulation and nursing education, and there was a shift in research topics from broad educational concepts to more specific approaches, such as e-learning. Innovative teaching has been predominantly investigated in higher education, particularly in nursing education, with themes like “teaching/learning strategies” suggesting an emphasis on enhancing teaching practices not just through technology infusion. This study can aid educators and researchers in staying current with innovative teaching developments and inform their teaching practices.

The study sought to determine the degree to which autistic children used language activities and their relevance to increasing verbal expression abilities in Jordanian special education institutions. The descriptive-analytical technique was used in the investigation. The two dimensions were utilized to represent the instrument through a set of 27 statements. The participants included 200 instructors from special education centers in Amman, Jordan's capital. The study's findings revealed a high level of application of linguistic activities among autistic children in Jordanian special education programs. Their ability to express themselves verbally improved significantly as well. The findings also revealed a statistically significant positive link between the extents to which autistic children applied language exercises and the improvement of verbal expression abilities in special education institutions.

This study investigates the impact of external variables, technological pedagogical and content knowledge (TPACK) self-efficacy, and facilitating conditions on teacher adoption of online teaching technology during the COVID-19 pandemic. It employs explanatory research to characterize the effect of external variables on the variables of the technology acceptance model. 240 high school teachers filled out Google Forms survey questionnaires for six research variables and analyzed by the SmartPLS program. The result indicates that attitude and perceived usefulness significantly and positively influence behavioral intention. Perceived usefulness and ease of use have a strong positive effect on attitude. Furthermore, perceived ease of use has a considerable effect on perceived usefulness. Perceived usefulness and ease of use are not significantly influenced by external variables. Facilitating conditions significantly positively affect behavioral intention, whereas TPACK self-efficacy negatively affects behavioral intention.

Momentum-impulse requires critical thinking skills, and teaching should be encouraging for students. Critical thinking skills can be fostered through inquiry-based learning. During the COVID-19 pandemic, familiar learning media were used for students. Therefore, it is necessary to develop creative learning media. This developmental research aimed to create a momentum-impulse e-book based on inquiry supported by infographics (MIB -In-graph) to enhance students' critical thinking skills. The developmental model was a 4D model with field testing, i.e., a pretest-posttest control group design with three classes. Descriptive analysis showed that MIB-In-graph, an Android application, received a good average rating in content, worksheets, and forms. Students’ responses were very positive. Mixed design ANOVA showed that the mean score of students’ critical thinking skills increased significantly from the pretest to the posttest in each class and students’ critical thinking skills in the experimental class was more salient than control class 1 and control class 2. The highest difference in mean scores was in the experimental class. The differences were influenced by various factors such as learning approaches, media use, pictures, and collaboration.

Due to irregular daytime routines, chronotype changes, side jobs and exam periods after the COVID-19 pandemic, university students are trying to find new balances in their everyday life. The aim of the present study is to analyze the impact of daytime chronotype and hour preferences for the circadian rhythm on academic achievement among university students, considering their sleep habits and class frequencies in daytime and nighttime classes. Furthermore, this study aimed to analyze the differences in chronotype preferences with regard to age, sex, and academic schedule students are attending. A sample of 87 university second-year Psychology and Management students attending the academic year 2021/2022 after the governmental relief measures of the COVID-19 pandemic completed a 13-item questionnaire on sleep habits and preferences. Further variables encompassed sleep behaviors, such as age, sex, daytime and nighttime classes, as well as academic achievement. The results of the study showed that university students had a higher preference for the morningness type. Additionally, chronotype traits explained 30% (values from regression analysis) of academic achievement but did not directly impact academic results. The sleep-wake cycle diverged among age groups because the youngest participants (19–21 years old) and older participants (35–44 years old) reported higher academic scores during the first semester and the full academic year. No significant differences were identified with respect to sex. There is a lack of literature explaining the effect of sleep hours on academic achievement among students after stay-at-home rules during the COVID-19 pandemic. Thus, it is imperative to understand the difficulties students face with regard to their studying hours, working shifts, and daytime or nighttime classes to create a sustainable university system that attends to students’ needs and necessities.

School dropout intention and reduced academic achievement are two crucial indicators of school dropout risk. Past studies have shown that school performance plays a mediating role in the models explaining dropout intentions. School burnout and test anxiety have been identified as predictors of both academic performance and school dropout. However, their combined effects on the intention to leave school have not yet been investigated. We aimed to address this gap by exploring the predictors of school dropout intention in a sample of 205 French secondary school students. Structural equation modelling analyses have revealed the specific facets of school burnout (devaluation) and test anxiety (cognitive interference) that explained the school dropout intentions and academic performance. Grade Point Average (GPA) was a mediator of the effects of these variables on the intention to drop out of school. The findings highlight the need to acknowledge assessments as a school stress factor that could contribute to health problems and intentions to drop out of school.

The world is looking forward to advancements in artificial intelligence (AI) technology, with significant research underway regarding the application of AI in education. This study analyzed publications on the potential of AI in secondary schools, focusing on its bibliometric aspects. Data from the Scopus database revealed 1,764 publications from 2019 to 2024. The analysis showed a steady annual growth in publications in this area. China and the USA were the leaders in the number of publications. Xiaoyue Wang was the most prolific researcher, having authored 71 AI-related articles. Yueying Li, Xiaoxu Chen, Yanzhu Zhang, and Yi Liu contributed to the field with 56, 55, 53, and 51 articles, respectively. The themes that emerged from 2019 to 2022 are related to media, application, study, institutions, artificial, digital, learning, factors, development, technologies, medical, automated, perception, support, and sustainability. From 2023 to 2024, the topics discussed in AI are related to students, education, perception, algorithms, digital, prediction, networks, challenges, writing, teachers, AI-powered, curriculum, century, integration, technology, and framework. The difference in research in 2019-2022 and 2023-2024 is focusing the theme's focus from the general to the specific. The co-occurrence analysis revealed that prominent keywords appeared in 3 clusters. Cluster 1 is the most popular in recent times. It deals with the application, assessment, and management of AI. Cluster 2 relates to AI relationships and models, while Cluster 3 relates to AI data sources.