Social participation represent one of the major outcomes of inclusive education. Students with additional support needs often encountered negative attitudes of social acceptance exhibited by their typically developing peers hindering their social participation in the educational context. This study explored the multicomponent structure of Portuguese children’s attitudes toward their peers with disabilities using a modified short form of the Chedoke-McMaster Attitudes toward Children with Handicaps scale (CATCH). In particular, this study aimed to (a) determine the factor structure of the CATCH and (b) evaluate the measurement invariance across age and gender. To identify the CATCH factor structure, exploratory and confirmatory factor analyses were conducted on data collected from 1,038 children aged 8–18 years. Analyses revealed that a modified short form of the CATCH consisting of a 20-item measure with a three-factor structure displayed acceptable fit and internal consistency indices. This model proved to be invariant across groups. The Portuguese-modified short form of the CATCH, in which cognitive, affective, and behavioral dimensions are represented, has acceptable psychometric properties and the potential to evaluate the effectiveness of educational programs designed to improve children’s attitudes.

This study aimed to develop a valid and reliable instrument that measures the functional vision of students with low vision. Thus, an assessment tool and performance activities were developed for three vision skill groups (near vision skills, distance vision skills, and visual field) that include functional vision skills. The universe was 1485 students studying in various primary and middle schools (from 2nd to 7th grades) affiliated to the Ministry of National Education, and simple random sampling was used to select 310 students. The data were collected using the Gazi Functional Vision Assessment Instrument developed by the researchers. Many-facet Rasch model and generalizability theory were used for the rater reliability of the measurements obtained from the instrument, while discriminant analysis was used for the validity of the measurements. The analysis showed that the measurements were reliable, and the inferences based on these measurements were valid. Thus, this instrument can be used to identify and assess the functional vision status of students with low vision.

Within the context of Self-Regulated Learning (SRL), a process of directing oneself to facilitate individual learning more effectively, the SRL instrument development is deemed necessary to measure students’ self-reliance in learning mathematics in the science, technology, engineering, and mathematics (STEM) framework. The research aims to develop and test the validity and reliability of an SRL instrument, namely a 14-item SRL questionnaire accommodating four aspects, namely planning, self-monitoring, self-controlling, and evaluation. The study involved 420 junior high school students in East Java, Central Java, and Yogyakarta Special Region. The results show that the questionnaire was developed as planned and that planning, monitoring, controlling, and evaluating aspects can reflect the SRL variable in a valid, reliable, and significant way supported by each aspect's behavior indicator. The SRL variable theoretical model corresponds (good fit) with the empirical data, and all of the items are likely valid and reliable to assess student's mathematics SRL in the STEM framework. The SRL questionnaire was also found suitable for use by teachers to measure junior high school students’ self-reliance in SRL.

The purposes of this study were to explore factors and indicators of life and career skills and to develop a life and career skills in the 21st century test for undergraduate students. This research employed a mixed-method study adopting an exploratory design: instrument development model to generate research tools. This study was divided into two phases; Phase 1 was to explore factors and indicators of life and career skills in 21st century, by using a qualitative method to analyze relevant documents; Phase 2 was the development of a life and career skills in 21st century test by adopting a quantitative method to collect data from students studying in 12 universities of the north-eastern region of Thailand via the test. In the second phase, the data were analyzed by descriptive statistics and Confirmatory Factor Analysis (CFA) Results revealed that the skills consisted of 6 factors and 35 indicators, and the test comprised 105 items. The quality of the test has been examined by five expertise, the reliability of all test items is acceptable, and all 6 factors demonstrated good construct validity. Factor loadings of six factors were 0.7940 -1.7816. This study can be implemented to measure the life and career skills of undergraduate students in any university to obtain data for establishing a policy and plans for maximizing students’ potential to achieve their careers and a happy living in 21st century after their graduation.

This research intended to examine the effect of mindset, democratic parenting, democratic teaching, and school environment on global citizenship among 2,226 ninth-grade students and 80 social studies teachers from 80 classrooms in public schools. The research instruments included a student questionnaire to measure global citizenship, democratic parenting, fixed and growth mindset, and a teacher questionnaire to measure democratic teaching and school environment and to analyze the data based on multilevel structural equation modeling. The significant findings revealed that democratic parenting and school environment positively affected global citizenship, whereas democratic teaching had a negative effect on global citizenship. In addition, the outstanding students with a growth mindset tend to lead to a positive effect and act as a mediating role through global citizenship than those with outstanding fixed mindset clearly. All factors in the model collaboratively explained the variance of global citizenship accounted for 62.8% and 47.5% at student and classroom levels, respectively. Finally, the discussions and suggestions section suggested the recommendations according to the findings of the research.

The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.

This study aimed to explore the perceived factors that influenced the success and challenges experienced when taking licensure examination among Bachelor of Science in Criminology graduates of a state university in the Philippines who failed in the Criminologist Licensure Examinations (CLE). Descriptive-correlational research design was utilized to analyze quantitative data, and Colaizzi’s descriptive phenomenology was used for the thematic analysis of qualitative data. The quantitative findings revealed that home and family factor has a high influence on the success in CLE, while student factor, school factor, review center factor, and personal factor have average influence. Further, ten clusters of themes emerged as factors that influence the success in CLE. Among them were interest and focus on the program, and availability of qualified and dedicated faculty. Among the themes that emerged as challenges were lack of preparedness for the exam because of one’s work, and personal and social pressures. There is a significant difference on the respondents’ perception towards the factors that influence the success in CLE when they are grouped according to sex. Regarding the challenges associated with preparing for and taking the CLE, a significant difference is only observed when respondents are grouped according to their civil status. Generally, married respondents have higher weighted means than the single ones. This implies that the identified challenges affected married respondents more than the single ones. These results can be used to make policies and initiate programs that would enhance graduates’ success in the exam by providing appropriate interventions and early remediations.

The purpose of this paper is to explore if the learning of biographical writing contributes to the positive views and attitudes towards others of different groups. The paper used the Research and Development approach by designing and implementing a learning model of biographical writing. The subjects of this study were 200 seventh-grade students having different ethnic and religious backgrounds from nine junior high schools. The data-collecting method was pretest-posttest. The results of the study demonstrated that the average scores of the aspects of student empathy, student positive attitudes towards ethnic differences, and student positive attitudes towards religious differences increased in all the schools investigated. The increase of average score in the aspect of student empathy, positive attitudes towards ethnic differences, and positive attitudes towards religious differences could be classified into three categories: high, medium, and low. Most of the schools under study experienced medium and low increases of average score in all aspects.

For biology students, the diversity, complexity, and abundance of content in this field yield a heavy study load. Hence, appropriate learning strategies are key in supporting learners’ academic success. In biology, the factors gender and interest hold a unique position within the natural sciences, as there is an academic imbalance to the disadvantage of male students. In the present study, we examined the influence of gender and interest as well as its interdependences on the students’ use of learning strategies for biology learning. A total of 180 seventh through tenth grade students (Mage=14.47; SD=1.35; 60% female) from four general-track secondary schools located in Germany participated in this study. Data on the students’ level of interest and the use of learning strategies in biology lessons were collected. We used multivariate analysis of covariance with the students’ age as the covariate to analyse our data. Results revealed a significant effect of gender on the students’ use of the learning strategies rehearsal, organisation, effort, and time management. With regard to elaboration and effort, the effects of interest were found to be significant. The gender gap regarding learning strategy use was narrower for students with high levels of interest. These findings might have implications for beneficial teacher behaviour in biology.

The school counselor’s role is increasingly challenging with various demands of students’ problems and the issue of Coronavirus disease (COVID-19) pandemic also affect students’ psychosocial and mental well-being. Therefore, school counselors need to equip themselves with high psychological well-being as a self-care factor to deal with burnout, instability, and work stress. This study aims to develop Psychological Well-Being Model among school counsellors. A total of 330 secondary school counsellors from four districts in Selangor were selected as the respondents using the group random sampling method. Data were collected through translated questionnaire instruments, namely Self Compassion Scale, Counselling Self Estimate Inventory, The Assessing Emotions Scale, Spiritual Involvement and Beliefs Scale Revised, and Psychological Well Being-Ryff. Confirmation Factor Analysis (CFA) and Structural Equation Modeling (SEM) show that there is a significant positive relationship between self-compassion, counselling self-efficacy, emotional intelligence, spiritual intelligence, and the school counsellor’s psychological well-being. The findings also showed that self-compassion, counselling self-efficacy, emotional and spiritual intelligence affected 76.5% (R2 = 0.765) of variance in psychological well-being. This study is one of the earliest in presenting the school counsellor’s psychological well-being model who can contribute to Malaysian education. The implications of this study suggest that the elements of self-compassion, counselling self-efficacy, emotional and spiritual intelligence, and psychological well-being should be applied in the curriculum at the counsellor training level in university so that counsellors have adequate preparation in providing effective services in schools. The Ministry of Education Malaysia, on the other hand, needs to cultivate psychological well-being interventions regularly so that counsellors can always manage various students’ issues in schools as well as maintaining psychological well-being in terms of personnel and professionals.

The positive effect of peer assessment and self-assessment strategies on learners' performance has been widely confirmed in experimental or quasi-experimental studies. However, whether peer and self-assessment within everyday mathematics teaching affect student learning and achievement, has rarely been studied. This study aimed to determine with what quality peer and self-assessment occur in everyday mathematics instruction and whether and which students benefit from it in terms of achievement and the learning process. Two lessons on division were video-recorded and rated to determine the quality of peer and self-assessment. Six hundred thirty-four students of fourth-grade primary school classes in German-speaking Switzerland participated in the study and completed a performance test on division. Multilevel analyses showed no general effect of the quality of peer or self-assessment on performance. However, high-quality self-assessment was beneficial for lower-performing students, who used a larger repertoire of calculation strategies, which helped them perform better. In conclusion, peer and self-assessment in real-life settings only have a small effect on the student performance in this Swiss study.

The purpose of the study was to identify what neuropsychological effect online learning had on psychology students and how it could be moderated. The study was descriptive and combined qualitative and quantitative methods to address the research questions. The study relied on three phases such as baseline study, experiment, and reporting. The experiment utilised neuropsychology tests adopted from the NeurOn platform. It was found that the Psychology students’ perceptions of e-learning and their emotional reaction to them were found not to be appreciative. The practices in breathing exercises, meditation, or yoga were proved to be able to moderate the impact of online learning on the experimental group students’ attentional capacities, memory processes, and cognition abilities. The above findings were supported by the results obtained for the neuropsychology tests and the experimental group students’ self-reflections yielded from the use of the MovisensXS App. The students confirmed that breathing exercises, meditation, or yoga reduced study stress and burnout caused by e-learning and improved their academic performance. The focus group online discussion also showed that integration of breathing exercises, meditation, and yoga helped the experimental group students keep emotional balance, concentrate on their studies easier, remember more information, and meet deadlines in completing assignments. The education scientists are suggested to study how the e-learning curriculum could be reshaped so that it used relaxation practices on regular basis.

The emergence of digital technologies and a more global and digital society has brought about the need to develop and educate in Digital Citizenship, as well as to study how youth are taught to participate and learn citizenship in a digital age. This paper aims to explore the role of digital and socio-civic skills development, as facilitators for youth participation and analyses the relationship between sociodemographic variables (sex, age, educational level, and political ideology) with the participatory profile of participants. This is a study with a quantitative methodology, where, based on non-probabilistic convenience sampling, 534 young people between 16 and 35 years old from Spain, completed an online questionnaire regarding the development of digital and socio-civic skills. The results indicate how a participant’s participatory profile is related to other variables. In addition, significant differences are observed between the different participation profiles and digital and socio-civic skills, underlining that the development of digital and socio-civic skills are essential for educating in digital citizenship.

In this study we focus our research on the case analysis of an eleven-year-old boy and his close relationship with technology, specifically robotics. The methodology of the study is experimental in nature, with the aim of improving the subject's attention span through robotics, thereby favouring his educational process and, consequently, his overall development. To this end, the attitudes, and aptitudes that this technological tool has provided the subject with are evaluated over a period of four years. Three data collection instruments were selected: questionnaire, interview, and observation. Among the conclusions we highlight, on the one hand, that the older the age and the greater the interest in robotics, the greater the individual's attention span and greater psychomotor coordination, increasing the improvement in the educational process and in their daily life. On the other hand, robotics is an effective way of orienting knowledge towards the personal and educational sphere and can provide advantages in integral development.  

In this research, the influence of the Coronavirus disease (COVID-19) pandemic on 9th grade students’ mathematics achievement is analyzed through quantitative and qualitative methods. A posttest only with control group design was used to compare the mathematics marks of 9th grade students from the previous school year (before the pandemic, control group) and the current school year (during the pandemic, experimental group). Seventy-three students from a public high school in Spain attending class on alternate days participated in the study. Three focus group sessions were held with students, and five semi-structured interviews were conducted—two with teachers and three with students’ families. Results show statistically significant differences in students’ mathematics achievement, with students enrolled in 9th grade the previous (pre-pandemic) year outscoring their peers currently enrolled in 9th grade (during the pandemic) by 22.17%. An overall negative effect size of Hedge’s g = -1.11 was reported. Although significant statistical differences between groups were reported for both male and female students, the effect was 42.31% larger for male students (Hedge’s g = -1.11) than for females (Hedge’s g = -0.78). The qualitative information supported the quantitative results. Changes in educational settings, students’ lack of motivation, monotony, and students’ level of responsibility were qualitatively reported as factors that may explain this phenomenon. The main conclusion of this study is that the COVID-19 pandemic may be significantly and negatively affecting 9th grade students’ mathematics achievement.

The higher educational institution needs a group of dedicated and committed lecturers to endure the institution during these turbulent times. As the organizational commitment reflects the self-identification of an employee with the organization, it has far-reaching implications on multifarious aspects in the organization. This present study investigated whether job satisfaction could mediate the relationship between learning organization and organizational commitment. A total of 452 lecturers from Heilongjiang province in China participated in this study. Structural equation modelling showed that job satisfaction significantly mediated the relationship between the dimensions of learning organization and organization, specifically on the effect of continuous learning, connection, and strategic leadership. Job satisfaction is also found to be a stronger predictor of organizational commitment than learning organization. These findings are discussed thoroughly and recommended a holistic plan to be devised that could strengthen learning organization and job satisfaction of lecturers in various aspects of the organization.

The online flipped classroom has become increasingly applied to provide students with active learning. This search aimed to investigate the effectiveness of video lectures in an online flipped learning on students’ learning outcomes, students' video evaluation, and their experience in an online flipped classroom. This study employed mixed-method research implementing a quasi-experimental design using quantitative and qualitative data collection: pre-test and post-test, a questionnaire and interview. The participants were 78 Indonesian undergraduate students taking English as a foreign language (EFL) content course at one of the universities in Indonesia. The findings revealed that the students’ learning outcomes in the flipped classroom outperformed those in the control group. The students’ evaluation of the video lectures was high, and their evaluation was consistent with how they positively perceived the video lectures in the flipped classroom. This investigation showed the roles of video lectures on the students' participation and active learning in the flipped classroom during Coronavirus disease (COVID-19) pandemic time.

This study presents an inquiry-based teaching approach using a rich methodology involving STEM (science-technology-engineering and mathematics) projects, developed using a cooperative way to work between schools and research centres. We describe the teaching pattern scenario with students, teachers, and scientists. We also illustrate the learning process, conducted through two inquiry-based problems in Biochemistry, the mutagenesis process and the transgenesis effects caused by inoculation of bacteria. The teaching sequence, as well as the scientific knowledge and students’ competencies involved, are shown. We then analyse the students' and teachers' perceptions in this scenario regarding the development of students' STEM learning through their inquiry skills promoted and concerning predictors to vocational careers involved (students’ identities as potential scientists, scientific attitudes, social implications towards science or students´ agency). Finally, we add some conclusions and contributions to teaching STEM education, related to factors of the design teaching scenario that bring connections with the interests and motivations of students, such as the relevance of the projects to evoke understanding of processes or causal relationships of content or the teacher's professionalisation supported by a proper allocation between scientists and teachers.

This paper is a quasi-experimental investigation into the effectiveness of using analogy in teaching new and unfamiliar physics concepts to students enrolled in a British curriculum school in the United Arab Emirates. The students (N = 34) were randomly assigned to one of two groups: the control group (N = 17) following the traditional teaching method, and the experimental group (N = 17) using the student-centered analogical method. The students relied on previous class knowledge to construct models, which in turn helped them explore new ideas and derive new knowledge. Pre-tests and post-tests were given to the two groups, where the post-test (test 6) results confirmed that the experimental group showed a more consistent outcome of high grades, no failure, and good homogeneity of results. On the other hand, the control group kept fluctuating around the same level in the all-study’s tests (pre-test and repeated measures (tests 2,3,4 and 5). The effect size of the intervention was very large and practically important, at Cohen’s d = 2.35. As a result, analogy-based pedagogies have demonstrated impact on students' learning performance and perceptions. Consequently, the result is capable of providing significant insights for educational policy and curriculum development.

Numerical thinking is needed to recognize, interpret, determine patterns, and solve problems that contain the context of life. Self-efficacy is one aspect that supports the numerical thinking process. This study aims to obtain a numerical thinking profile of Mathematics pre-service teachers based on self-efficacy. This study used descriptive qualitative method. The data obtained were based on the results of questionnaires, tests, and interviews. The results of the self-efficacy questionnaire were analyzed and categorized (high, moderate, and low). Two informants took each category. The results showed the following: informants in the high self-efficacy category tend to be able to interpret information, communicate information, and solve problems with systematic steps. Informants in the moderate self-efficacy category tend to be able to interpret and communicate information, but tend to be hesitant in choosing the sequence of problem-solving steps. Meanwhile, informants in the low self-efficacy category tend not to be able to fully interpret the information. As a result, the process of communicating information and solving problems goes wrong. Another aspect found in this study is the need for experience optimization, a good understanding of mathematical content, and reasoning in the numerical thinking process.