The current study investigated the opinions of secondary school students taking the science course from different science teachers about the science course and science teachers. The current study was conducted with the participation of 32 students instructed by different science teachers and attending different secondary schools in the fall term of 2018-2019 academic year. The data of the current study were collected by means of semi-structured interviews. In the analysis of the data, the descriptive analysis technique was used. The findings of the current study have revealed that high majority of the students love their science classes and science teachers, that in science classes, lecturing, question-answer and note-taking are methods widely employed, that if there is a smart board in the class, then Okulistik or EBA computer program is on, that the assignments given are from the textbook, that the most frequently adopted behavior by the teachers in the face of any discipline problem is warning and that informal learning environments are not used much. Moreover, it was found that projects are rarely assigned to students and the projects assigned are given as homework. A great majority of the students expect their teachers to be entertaining, they want their lessons to be instructed through games and experiments, and they do not want to write a lot in their classes.

The self-report and think-aloud approaches are the two dominant methodologies to measure metacognition. This is problematic, since they generate respondent and confirmation biases, respectively. The Meta-Performance Test is an innovative battery, which evaluates metacognition based on the respondent's performance, mitigating the aforementioned biases. The Meta-Performance Test consists of two tests, the Meta-text, which evaluates metacognition in the domain of reading comprehension, and Meta-number, in the domain of arithmetic expressions solving. The main focus of this article is to present the development of the battery, in terms of its conceptual basis, development strategies and structure. Evidence of its content validity is also presented, through the evaluation of three experts in metacognition, two experts in Spanish language, two experts in mathematics and five students who represent the target population. The results of the judges' evaluations attested to the Meta-Performance Test content validity, and the target population declared that both the battery understanding and taking are adequate. Contributions and future research perspectives of the Meta-Performance Test in the field of metacognition are discussed.

Due to the pandemic in many countries, schools were closed in 2020. Therefore, education was suspended, and distance education was started. During the Coronavirus disease (COVID-19) pandemic, teachers gave lessons online in virtual classrooms. In this study, Scale of Attitudes Towards Online Formative Assessment (S-AOFA) for teachers conducting online and distance courses was developed, and the teachers' attitudes were examined with respect to demographic variables. In the study conducted in the mixed-design method, qualitative and quantitative data were collected for the scale development and survey. Data were obtained from 369 teachers (science teacher, mathematics teacher, classroom teacher, and teachers in other fields) working in school in Turkey. S-AOFA was made up of 20 items and two factors as a five-point Likert-type. When the teachers' attitudes towards online formative assessment (AOFA) was examined, it was found that the mean for the factor of "Assessment Systems" was lower than that of the "Assessment Approaches". In addition, the findings revealed that there was no significant difference in the teachers' AOFA in terms of gender and that no significant difference existed in AOFA with respect to the school levels of the teachers (elementary, secondary and high school). Moreover, the results demonstrated that there was a low negative significant relationship between the teachers' AOFA and the number of students in which virtual lessons were given online. Lastly, there was a low level positive significant relationship between the teachers' AOFA and the in-class participation percentages of the students who were taught online in virtual classrooms. S-AOFA could be used by researchers in different studies in future.

The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first evidence on the structural validity of the Meta-Text, by analyzing its dimensionality and reliability in a sample of 655 Honduran university students. Different models were tested, via item confirmatory factor analysis. The results indicated that the specific factors of planning and monitoring do not hold empirically. The bifactor model containing the general cognition regulation factor and the judgment-specific factor was evaluated as the best model (CFI = .992; NFI = .963; TLI = .991; RMSEA = .021). The reliability of the factors in this model proved to be acceptable (Ω = .701 & .699). The judgment items were well loaded only by the judgment factor, suggesting that the judgment construct may actually be another component of the metacognitive knowledge dimension but having little role in cognition regulation. The results show initial evidence on the structural validity of the Meta-Text and give rise to information previously unidentified by the field which has conceptual implications for theorizing metacognitive components.

The aim of the research was to develop a theoretical approach to describe the emotional and techno-ontological logic of mathematics teachers during distance learning during the COVID-19 pandemic and the impact of their emotional state on the learning process. The research approach used in this paper belongs to the qualitative paradigm. The study involved teachers and students from universities in Ecuador, both private and public. The study observed the behavior of teachers and students, analyzed the use of technology in mathematical activities, and analyzed personal opinions about the learning process of the participants of the study. A digital observation guide and open-ended interviews were used to collect data. The qualitative analysis program Atlas.Ti software was used to analyze the data. The program created three categories: andragogical heterotopia of mathematics, emotional scar in teacher preparation, and perceptions of the educational process. As the results of the research showed, there was a deficit of digital professional training of teachers in the university teaching of mathematics. As a result of the research work carried out, a theoretical approach is proposed, through which it is possible to avoid the manifestation of techno-ontological logical emotions in mathematics teachers in Ecuadorian universities.

Education systems worldwide have been significantly disrupted due to the COVID-19 pandemic, creating an immediate need for a revamp of conventional teaching and learning techniques. To explore how this has affected the educational landscape, a scoping review was conducted. This scoping review aimed to examine the changes that occurred in the education field and to explore how it has transformed the educational landscape review. Using Arksey and O'Malley's methodology, 51 articles were selected for analysis from two leading databases: Scopus and Web of Science. All chosen articles were then subjected to thematic analysis. Three main aspects impacted by this global event were uncovered, which are technological advancements and digital transformation, changes in pedagogy and teaching methods, and mental health and well-being issues. This scoping review provides valuable insights into one of the most critical sectors affected by COVID-19, which can assist with planning future strategies for similar crises.

This study aimed to examine the impact of self-organization and self-efficacy in predicting attitudes toward cheating in online exams among undergraduate students. Drawing on the self-regulated learning framework, a cross-sectional survey design was employed to collect data from 153 students at a Saudi university using three validated scales. The findings revealed that self-organization and self-efficacy were significant negative predictors of attitudes toward cheating, with higher levels of these attributes associated with less favorable attitudes toward cheating. Furthermore, moderation analysis showed that self-efficacy significantly moderated the relationship between self-organization and cheating attitudes, suggesting a complex interplay between the two constructs. The findings highlight the importance of fostering self-regulated learning skills to enhance academic integrity in online assessment contexts.