Anxiety that students experience during test taking negatively influences their academic achievement. Understanding how students perceive tests and how they feel during test taking could help in taking effective preventive measures. Hence, the current study focused on assessing children’s perceptions of tests using content analysis. The sample consisted of 1143 participants (566 females and 570 males) attending 3rd (n = 320), 4th (n = 420), 5th (n = 197), and 6th (n = 206) grade classes in three public schools in Istanbul, Turkey. The findings indicated that three main domains emerged from the data. The domains and the categories under each domain were as follows: evaluation (grades, success vs. failure, learning and development, and intelligence), emotions (excitement, fear and anxiety, happiness, curiosity, mixed feelings, and disappointment), and experiential process (answering questions, studying, difficulty, thinking, having fun, cheating vs. honesty, and silence). Understanding students’ experiences with testing early on in their education will give researchers and practitioners the chance to plan effective applications for treatment and prevention, which would influence students’ future achievement and experiences. The study findings could also help teachers and school counselors plan more effective teaching and counseling programs that take into account students’ anxiety levels during tests.

The primary goal of this research is to explore absenteeism tendency, and the attitudes towards absenteeism and cheating of students who attended the teacher certificate program. In addition, this research aims to identify the views of students and lecturers on cheating and absenteeism. A sequential explanatory mixed-method research design was employed in this research. The sample of the quantitative data was 321 teacher certificate program students studying at Mugla Sitki Kocman University, Turkey. Absenteeism tendency, cheating attitude and absenteeism attitude scales were used to collect the data. Descriptive statistics, correlation, independent t-test, one-way analysis of variance (ANOVA) and Tukey HSD tests were used to analyze the data. Qualitative data was collected through semi-structured interview forms. 14 students and 14 lecturers were interviewed, recorded, and transcribed. Qualitative data was analyzed through quantitative content analyses and descriptive analyses. Research findings show that verbal field students have significantly more positive cheating attitudes than quantitative field students. While cheating attitudes show no significant difference between genders, students in physical education departments have higher scores in the dimensions of environmental conditions and opportunity and ability than verbal and quantitative field students. Both students and lecturers describe cheating as “unfair behavior and plagiarism,” and absenteeism as a “right” in unavoidable situations. It is emphasized that the active participation of students in classes mostly depends on the instructor.

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances. The 12 scenarios reflected the experimental manipulation of three orthogonal factors: teacher’s teaching style, type of exam, and modality of assessment. Analysis results revealed four distinct attitudes toward cheating among students, two of which were independent of context (low and high desire to cheat) while the remaining two were context-dependent (low and moderate desire to cheat). All groups showed systematic thinking underlying their possible desire to cheat that was typified by the use of a summative cognitive rule for integrating information related to academic cheating. However, evaluation of factor relevance varied across the groups.

Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also present an approach to mitigate data contamination and improve the performance of the index. The computation of the index was implemented through a modified version of an open source R package, thus enabling wider access to the method. Using data from PIRLS 2011 (N=64,232) we conduct a simulation to demonstrate our approach. Type I error was well-controlled and no control group was falsely flagged for cheating, while 16 (combined n=12,569) of the 18 (combined n=14,149) simulated groups were detected. Implications for system-level cheating detection and further improvements of the approach were discussed.

The advancement of information and technology resulted in the change in conventional test methods. The weaknesses of the paper-based test can be minimized using the computer-based test (CBT). The development of a CBT desperately needs a computerized item bank. This study aimed to develop a computerized item bank for classroom and school-based assessments. A research and development method is used in this study, which consisted of four phases, i.e., planning, item development, system development, and field testing. Data is collected through documentation, expert judgment, and field testing. The data were analyzed using descriptive statistics and item response theory. The sample of this study was teachers and high school students in West Sumatera province selected using purposive random sampling techniques. The results of the study are as follows. 1) The computerized item bank has excellent quality based on expert validation. 2) There are 120 items inputted into the item bank system that has a moderate difficulty and good discriminant index based on item response theory. 3) The field testing indicated the computerized economics item banking has high effectiveness of usability, usefulness for the teachers, and feasible for classroom and school-based assessment.

The purpose of this research is: 1) to develop the model and produce the assessment of creative curriculum-based learning program multiple intelligences (MI), 2) to know the characteristics and impacts of developed product models. Research using multi-years by method R & D (Research and Development) with two phases; First phase: 1) Preliminary survey stage, 2) definition stage, 3) design phase, 4) trial stage, and 5) development stage; The second phase: 1) the instrument design stage through the Forum Group Discussion, 2) the product trial phase of 100 children in Sleman Regency, 3) wide-scale implementation of 200 children in Yogyakarta Province, 4) the evaluation phase with construct analysis and achievement of research subjects' performance, 5 ) the stage of measuring the effectiveness of the product with user perception. The subject comprises 200 children of early childhood and 20 kindergarten teachers in 10 kindergartens in the Yogyakarta province in Indonesia, by the approach of Reflective Measurement Theory (RMT). The results showed that: 1) the MI-based creative curriculum assessment model was developed to meet valid, reliable and conformity criteria of an empirical data model, 2) The implementation of the assessment model had fulfilled the requirements worthy of using three criteria  aspect; 1) The results of the assessment using creative instruments based on multiple intelligences on children get "very good" results, 2) the readiness of the teacher in learning is included in the "good" category; 3) teacher performance appraisal shows the "very good" category, and 4) the benefits of the products developed are in the "very good" category. It was concluded that the developed product had tested empirically and practically so that it was useful in learning in early childhood.

This study aimed to describe the profile of the students’ social skills of Bengawan Solo nature elementary school. The study was qualitatively conducted as a case study. The participants were teachers and students who were chosen by employing a purposive sampling technique. The data were obtained through observations, questionnaires, interviews, and document analysis. This study employed an interactive model data analysis included: data validating, data collection, data reduction, data display, and conclusion drawing. The conclusions of the study comprise: (1) the cooperation aspect, students can collaborate well; (2) the assertion aspect, students can get along with new friends and communicate with others; (3) the responsibility aspect, students understand their role and responsibility to the God, themselves, others, and society; (4) the empathy aspect, students can feel others' feeling and problem; (5) the self-control aspect, students can control their mental state so that they can avoid anger and bad influences.

This investigation examined English as a foreign language (EFL) teachers’ perceptions of their self-efficacy in using instructional strategies in the context of the Mekong Delta of Vietnam. The research was designed as a descriptive research collecting quantitative and qualitative data from a questionnaire and semi-structured interviews. Forty-six Vietnamese EFL teachers were invited to partake in the study. The results indicated that participants were in general confident in using instructional strategies in their English classes. Specifically, the participants were highly confident in their abilities to use multimedia (M=4.41), assessment techniques (M=4.35), and classroom English (M=4.35). The study also indicated that participants were not confident in evaluating the level of task difficulty (M=3.37), dealing with unmotivated students (M=3.57), and meeting students’ particular needs for support (M=3.62). Pedagogical implications and recommendations were addressed to help manifold stakeholders at the end of this paper.

The purpose of the current research is to identify the correlations between moral intelligence and both academic entitlement and academic performance; in addition to identify the mediating role of academic entitlement between moral intelligence and academic performance. Four hundred and forty-four students from (Yemen, Egypt, Saudi Arabia, Iraq, and Jordan) participated in the research. The moral intelligence scale and the academic entitlement scale were applied to the participants and data were analyzed using Pearson's correlation coefficient and path analysis. The results revealed that there was a statistically significant negative correlation between moral intelligence and academic entitlement and a significant positive correlation between moral intelligence and academic performance. Besides, results demonstrated the mediating role of academic entitlement between moral intelligence and academic performance. The results of this research can be employed in building programs and setting plans for developing moral intelligence and eliminating academic entitlement behaviors and beliefs to encounter the problems of secondary school students.

The study aims to identify how kindergarten teachers perform early literacy assessments in the classroom and the challenges these teachers have in performing such assessments. During the study, the data were gathered through an in-depth interview in the form of a forum group discussion (FGD). Then, the phenomenological data were attained from 30 public and private Kindergarten teachers. The researchers could illustrate how these kindergarten teachers assessed their children's early literacy through these data. Furthermore, the study results show that the teachers' literacy knowledge has been sufficient and that the literacy programs for the children have been variously designed in each school. The teachers' techniques in performing the early literacy assessment are observation and documentation (portfolio), and the measurement of literacy skills itself refers to the scope of literacy. Concerning the findings, numerous obstacles and expectations that kindergarten teachers have are also discussed within the study.

This study examined the challenges and issues faced by teachers and parents related to the transition from face-to-face instruction to online instruction. During the COVID-19 pandemic, ten teachers and ten parents from the United Arab Emirates (UAE) school system were interviewed to reveal their challenges in managing online teaching and learning. According to the findings, both teachers and parents encountered several problems. Teachers faced challenges such as the need to adapt their teaching strategies and techniques to the new situation, the need for technical support to facilitate the teaching-learning process, the lack of students’ in-class participation and genuine motivation, and the nature and format of the teaching platform, and the fact that they need to have a high level of experience in using technology to serve their students well and engage them in interactive classroom activities. Parents reported several challenges, including lack of experience with the online learning platform, unwillingness to work with teachers to use the online learning platform effectively, lack of experience in properly preparing their children to participate in active online instruction, and multiple children attending different classes at the same time. These challenges place a great burden on parents who must support their children in the younger grades.

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 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.

Existing studies have explored the repercussions of school closures. The researchers were interested in exploring the virtual health and physical education program (VHPEP) by identifying existing practices, drawing a more profound understanding of teachers’ experiences, identifying parents’ roles played in support of their children and teachers, and finally recommending inputs for a better VHPEP. Using a criterion-based selection, twenty participants, encompassing ten teachers and ten parents, were recruited for this study. The study employed a qualitative case study design. The results found that implementing VHPEP involved various issues and challenges in class management, including limited student interaction, difficulty sustaining interest, ineffective assessment methods, and instances of student cheating. These challenges prompted teachers to shift their pedagogical practices, focusing on making adjustments and developing new strategies to ensure student participation. Additionally, the study found that teachers experienced anxieties and realized the importance of self-reflection, including the importance of implementing measures to mitigate anxieties, gaining new perspectives on teaching, and grappling with the unique difficulties and opportunities of the virtual teaching modality. This study also shed light on the diverse roles that parents played in supporting their children and collaborating with teachers. Lastly, the study identified crucial aspects for improving VHPEP. While this study gives much attention to valuable insights provided by teachers and parents as collaborative partners for a quality VHPEP, caution should be exercised because the research is based on specific contexts and individual experiences.

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.