This study examined students’ calibration of performance in a sport skill in relation to their performance in an executive functions test. A total of 265 students in the fourth, fifth, and sixth grades participated in the study. The students took an executive functions test, and then they were tested on a basketball shooting test, after having provided a personal estimation regarding their performance. Based on students’ actual and estimated performance, the bias index was calculated to classify students into three categories; accurates, underestimators and overestimators, while the accuracy index (absolute values of the bias index) was also calculated. The results showed a positive but small magnitude relation between students’ scores in the executive functions test and their performance calibration, while accurate scored higher on the executive function test compared to over estimators and under estimators. These results are similar to those of previous studies with elementary school children that employed cognitive tasks and were discussed with reference to theoretical and empirical implications.

Recent educational policy initiatives in Ireland have focused on improving outcomes in reading and mathematics among students, particularly those experiencing educational disadvantage. However, science achievement in Irish primary schools has received much less research attention, especially in the context of educational disadvantage. This article examines science achievement and its relationship to school compositional effects in primary schools at the national level, including school-average indicators of the school context, as well as examining factors associated with science achievement in three distinct categories of schools (those with high, moderate, or minor levels of educational disadvantage). The data are drawn from the Fourth grade Trends in International Mathematics and Science Study (TIMSS) 2015 database for Ireland. Multilevel analyses were implemented in a stepwise manner. Findings suggest the relevance of school contexts with regard to science achievement. Before including school-level contextual variables, students from ‘minor disadvantaged’ schools achieved significantly higher science scores than students from schools with ‘moderate’ or ‘high’ levels of disadvantaged. However, this difference disappears after controlling for predictors at the school level. The findings highlight the importance of the home environment, including early numeracy activities and skills before children start school. Results are discussed with regard to educational policy and educational practice in Ireland.

Collaborative learning has been identified as an essential aspect in the process of learning. As accelerated advancement continues to characterize the developments of technology, innovative mobile technology appears to be transforming the way collaborative learning is taking shape. This study focused on identifying whether mobile technology has a significant impact on collaborative learning in engineering studies in a private University in Malaysia. Using a quantitative approach, an online survey was administered for the data collection. Some 221 participants were selected randomly among undergraduate engineering students in the University. Data were analyzed using SmartPLS. The research findings revealed that mobile technology has a significant impact on collaborative learning. The findings also indicated that two of the mobile technology dimensions, namely mobility and immediacy have significant impact on collaborative learning. Consequently, this research suggests engineering educators can integrate mobile technology into their future instruction for more collaborative learning and create a smart workforce consisting of fast and adaptive engineers as well as other learners in Malaysia.

This study is qualitative with descriptive and aims to determine the process of generalizing the pattern image of high performance students based on the action, process, object, and schema (APOS) theory. The participants in this study were high performance eighth-grade Indonesian junior high school. Assignments and examinations to gauge mathematical aptitude and interviews were used to collect data for the study. The stages of qualitative analysis include data reduction, data presentation, and generating conclusions. This study showed that when given a sequence using a pattern drawing, the subjects used a number sequence pattern to calculate the value of the next term. Students in the action stage interiorize and coordinate by collecting prints from each sequence of numbers in the process stage. After that, they do a reversal so that at the object stage, students do encapsulation, then decapsulate by evaluating the patterns observed and validating the number series patterns they find. Students explain the generalization quality of number sequence patterns at the schema stage by connecting activities, processes, and objects from one concept to actions, processes, and things from other ideas. In addition, students carry out thematization at the schematic stage by connecting existing pattern drawing concepts with general sequences. From these results, it is recommended to improve the problem-solving skill in mathematical pattern problems based on problem-solving by high performance students', such as worksheets for students.

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.

The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was reviewed and approved by eight panel members or experts. It was analyzed using Fuzzy Delphi Logic (FUDELO 1.0) software. The data were evaluated using triangular fuzzy numbering and the position (ranking) of each variable was established through defuzzification. The findings revealed that all of the items received high levels of expert agreement, significantly greater α-cut defuzzification values >.5, the overall value of the threshold (d) is less than .2 and had to comply with the overall percentage of percent consensus, which must be greater than 75%. All 45 recommended items were retained adequately and acceptable for a large-scale survey in this study. Finally, each item was prioritized (ranked) based on the defuzzification value, and then some additional items were added, as recommended by experts.

Numerous events occur in students' educational trajectories that are linked to school success. Some of these events are related to school-related factors. Moreover, these factors alter the quality of students' engagement, generating the risk of dropping out of school. The objective of this research has been to explore, compare and understand the different events that occur in the school trajectories of at-risk youths that are related to the existing dynamics in schools. In order to achieve this objective, a narrative research based on the life stories approach was developed. For the reconstruction of the stories, the technique of in-depth interviews and mixed data analysis was used, by means of different analysis techniques. The main conclusions reached after the research have been highly relevant for studies on educational trajectories of at-risk youth. The different factors associated with schools affect the trajectory and involvement of students. There are certain dynamics that have a greater presence in some stages or others, however, all of them can positively or negatively affect the quality of student engagement. Finally, it is shown that the key lies in the way in which the different dynamics of schools develop, i.e., how the dynamics associated with certain factors develop.

This study used the structural equation modeling (SEM) approach to test a model that hypothesized the influence of self-efficacy, self-control, emotion, and engagement on student academic performance. The structural equation modeling model was developed to link all the study variables with a literature review to describe the interrelationship. Data collected were from 413 college students in their second year. The results show that self-efficacy, self-control, emotion, and engagement predict student academic performance. And through emotion and student engagement, both self-efficacy and self-control predict student academic performance indirectly. Practically the measures used in this study give more information about the learning environment in higher education settings than those usually come from traditional practices faculty received in the classroom, such as student rating forms and feedback. The main findings of this study have some implications for higher education, theory development, measurement, and future research.

Professional learning communities (PLCs) are important for improving student achievement and school development. According to PLC research, teachers' knowledge and practice in teaching are significantly improved by various PLC forms and favorable working environments. This qualitative research was conducted to find out what forms of PLCs were popular and what challenges were facing three primary schools in a province in Vietnam. The study utilizes a multiple-site case study design relating to PLCs in those schools with the data from interviews with the principals, group leaders and teachers, observations of PLC activities and related policy documents. The two forms of PLCs were identified in this research, including professional groups and groups of core teachers. Besides, four challenges facing PLCS implementation in those schools included the old habit of professional learning in PLCs, structural conditions of schedules and facilities, economic conditions of teachers and motivation for reforms. The study provides recommendations based on the findings for PLC research and practice within and beyond the Vietnamese context.

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.

Ursula von der Leyen identifies diverse classrooms have different knowledges and ‘epistemologies’. A typology of epistemologies for democratising knowledge ‘A Blueprint for Character Development for Evolution’ (ABCDE) is offered to mainstream policy benefits for all by Higher Education as hubs i) credentialing educational leaders by doctoral-study and ii) propelling networks of Professional Educators and Administrators Committees for Empowerment (PEACE) across professions credentialed by Higher Education and chaired by educational leaders. PEACE builds robust evidence bases to inform redesigning curriculums and culturally responsive pedagogies as policy benefits that empower students to use ABCDE with Assessment for Personal and Social Learning (APSL) to problem solve across the quadruple-helix. Education Outcomes include students’ self-management of personal and social understanding and wellbeing for resilience within sustainable circular, entrepreneurial, green and digitised economies with products and means of production regulated by professions credentialed by Higher Education. Impacts include communities developing responsible historical social consciousness to reinvigorate democratic governance, accountability, transparency, effectiveness and trustworthiness of rule-of-law based institutions and policies to expand active and inclusive citizenship empowered by safeguarding human rights. Further research, building on the powerful European Commission funded platform ‘DocEnhance’ is recommended to inform effective and efficient investment into high quality education and training.

Recently, Thailand's educational policy focused on developing learners’ potential according to multiple intelligences. The research objectives were to develop the multiple intelligences (MI) promotion model and an MI screening test for Thai learners and propose policies to encourage MI so that learners can reach their full potential. The sequential mixed method was applied. First, the model and the MI screening test were developed. The participants were two groups of key informants, comprising 93 and 185 participants, respectively. The sample group consisted of 460 primary and secondary school students selected through multistage random sampling. The MI screening test consisted of characteristics of 45 behavioral observations. The result showed that the developing model was the “A2D model or AAD.” This model consisted of three components: nine areas of intelligence, eight continuity mechanisms, and two success conditions. The MI screening result revealed that most learners had outstanding bodily–kinesthetic intelligence, accounting for 40.4%. The least prominent aspect was musical intelligence, representing 16.2%. The proposal policies comprised (a) The aspect of foundation for learning management with access to the A2D model, consisting of four sub-policy proposals, and (b) The aspect of encouraging learners to develop their full potential, consisting of six sub-policy proposals.

The various intuitive reasoning types in many cases comprise the core of students’ misconceptions about concepts, procedures and phenomena that pertain to natural sciences. Some researchers support the existence of a relatively closer connection between the right hemisphere and intuitive thought, mainly due to a notably closer relation of individual intuitive cognitive processes with specific right hemisphere regions. It has been suggested that individuals show a different preference in making use of each hemisphere’s cognitive capacity, a tendency which has been termed Hemisphericity or Hemisphere Preference. The purpose of the present study was to examine the association between hemispheric preference and students’ misconceptions. A correlational explanatory research approach was implemented involving 100 seventh grade students from a public secondary school. Participants completed a hemispheric preference test and a misconceptions documentation tool. The results revealed that there wasn’t any differentiation in the mean score of misconceptions among the students with right hemispheric dominance and those with left hemispheric dominance. These findings imply a number of things: (a) the potential types of intuitive processes, that might be activated by the students, in interpreting the biology procedures and phenomena and their total resultant effect on students’ answers, probably do not have any deep connection with the right hemisphere; (b) it is also possible that students might use reflective and analytic thought more frequently than we would have expected.

Learning evaluation is a complex task, and this study illustrates the Constructive Assessment of Learning as a complementary alternative to evaluate the computational cognition schema construction. The authors designed a mental representational task under the Chronometric Constructive Cognitive Learning Evaluation Model. Control and experimental groups performed a conceptual definition task based on the Natural Semantic Network technique (NSN). They defined ten target concepts related to computational cognition theory, using verbs, nouns, and adjectives as definers. Afterward, the participants rated the conceptual quality of each definer one by one, on a scale of one to ten; the higher the rating, the greater the quality of the definer to define the target concept. The results indicate that the NSN technique was sensitive to measuring and discriminating cognitive changes in knowledge structures produced by the specific learning of computational cognition theory. In contrast, the learning of broad psychology subjects produced general cognitive changes without organization related to the specific learning of the evaluated course. Data showed more sophisticated cognitive change patterns on the evaluated schema in the experimental group than in the control group. The findings of this study suggest that cognitive assessment techniques can be helpful in the formative assessment of learning and provide clear indicators of students' knowledge management skills.

Lesson study, observation and analysis are relevant to professional development and initial teacher education. As a strategy, it helps to bridge the gap between theory and practice. The health conditions brought on by the COVID-19 pandemic forced the restriction of the tutors’ direct observation of preservice teachers at school. This study analyses preservice teachers’ performance through video observations to evaluate their professional activity at school during the COVID-19 pandemic. The Fifteen Items Revised Tsang-Hester Observation Rubric (FIR-THOR) was administered to a sample of 166 preservice teachers in their internship schools and their video recordings each one of 45-minute teaching lessons were analysed. The results show that the FIR-THOR appears as a robust instrument, which allows us to conclude that the instrument works well in the three five-items dimensions that compose it - Instruction, Management, and Assessment - proving to be reliable for assessing teacher intervention in the classroom. Among the three dimensions, the preservice teachers’ performance stands out in the Management of the classroom, as well as in the classroom Instruction. This contribution is relevant considering the potential of lesson analysis in learning and professional development during initial teacher training.

This study was undertaken to assess the level of readiness of higher education institutions (HEIs) for horizontal typology, institutional sustainability, and quality assurance in the key result areas (KRAs) for the enhancement of mechanisms, systems, and policies for the HEIs’ effective operation. It is a descriptive correlational design using the modified self-evaluation document (SED). The study showed that all the seven HEIs that participated in this study had been operating for 40 years and above, offering more than sixteen program courses with more than sixteen accredited programs. Four of the HEIs were Level 2 in accreditation status and five were ISO Certified. The level of readiness of HEIs for horizontal typology was moderately ready, which means the HEIs need some improvements in horizontal typology.  The most identified challenges affecting the level of readiness of HEIs in horizontal typology were the lack of innovation, technology, and sustainability; the lack of administrative strategies, leadership competencies, and management skills; and the lack of financial allocation for institutional development and advancements, respectively. There is no significant relationship between the institutional profile and terms of observing the standards in the KRAs. The study recommends further re-assessing the level of readiness of the HEIs in terms of documentation/evidence, observance for the improvement of the systems, processes and practices towards a more effective and efficient delivery of academic services to young people by conducting the more focused study in every KRAs and institutional self-assessment as future researches for the further improvement of the operations of HEIs.

The purpose of the current study was to analyze social media content related to physical education. In the context of summative qualitative content analysis, I took advantage of big data analytics to access the data. Machine learning of this big data mapped the large content volume from four major social media platforms. The data was collected by extracting social media posts from January to December 2020. The big data analysis process sorted, categorized, and classified the enormous data into several preeminent topics regarding PE. These computerized analyzes were used to identify themes that were further analyzed using qualitative methods. The results revealed two overarching themes. These themes were (a) PE representation as a school subject and (b) the images of PE teachers on social media. The second theme consisted of three subthemes: masculine traits of PE teachers and negative and positive sentiments toward these teachers. I concluded that key aspects of PE discourse in virtually mediated reality share topical characteristics with what people have previously socially constructed. However, the themes offer a new addition to the literature in that the analysis offers a new perspective on ongoing debates about the social construction of PE through enormous large data sets.

Education for all and education equality has been an important issue to be payed attention to, especially in the rural areas in Indonesia. Education in rural areas is very underdeveloped due to the lack of the equitable distribution of education services. The main factors behind this problem are the pedagogic competence of teachers and inadequate infrastructure. These factors have a direct impact on the digital literacy of students in rural areas, even though digital literacy is very important in the era of the industrial revolution 4.0. This research is a development research that is aimed at developing a valid, practical and effective Lesson Study (LS)-based smart teaching model. The study was conducted at a junior high school in Jeneponto Regency, South Sulawesi, Indonesia. The results showed that the LS-based smart teaching model developed was valid, practical, and effective to promote students' digital literacy. The development of this teaching model is expected to improve the quality of educators' pedagogic competence in teaching and be able to form educators' creative innovations that can directly have an impact on improving the quality of learning in the classroom.

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.

Graduates of higher education need, in addition to knowledge, skills such as cooperation, communication, and problem-solving to cope with their working life. Collaborative learning environments like co-creation, are gaining attention for their ability to cultivate these essential skills. This study aims to investigate the understanding and efficacy of co-creation from the perspective of 145 undergraduate students enrolled in a physics course, using a questionnaire. Design thinking, using the double-diamond model, is applied as the co-creation methodology. The study examines the effects of co-creation and design thinking on teamwork and the development of skills. The study also discusses the differences in co-creation, design thinking, teamwork, and skill development among various demographics, previous co-creation experiences, and teaching methods. The findings demonstrate that the majority of students understand the concepts of co-creation and design thinking, and that their co-creation teams functioned satisfactorily, leading to the development of necessary skills. However, increasing age seems to be an inhibiting factor. Finally, the study shows that students who prefer co-creation as a teaching method or have previous co-creation experiences are more receptive to this approach.