The aim of the study was to investigate the effect of performance feedback (PF) provided to student teachers working with students with multiple disabilities and visual impairment (MDVI) on their teaching skills. The study group of the research was composed of 11 student teachers attending to the final year of the Teaching Students with Visual Impairments Program at a university in Ankara, Turkey. A quasi-experimental design, was used in the study. These student teachers recorded their classes for pretest and posttest and these video-recorded classes were thereafter watched by the observer, who completed semi-structured observation forms for each student teacher. The results of the analysis suggested a statistically significant difference between the pretest and posttest scores of the student teachers involved in the study before and after the performance feedback. The findings of the study were discussed in the light of the relevant literature and practical recommendations were included.

The analyses described in this paper permitted an evaluation of whether capacity-building professional development practices were related to early childhood intervention practitioners’ reported use of capacity-building family-centered practices. This was ascertained by structural equation modeling for two different types of family-centered practices (participatory and relational) where the two models were compared to determine the better fitting model and the sizes of effects for the relationships among the variables in the models. Results provided converging evidence that capacity-building professional development engenders practitioners’ use of capacity-building family-centered practices. Implications for practice are described.

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.

Challenges arising from the classroom behavioral management of students with social, emotional and behavioral difficulties are a concern for educational professionals. The purpose of this study is to review common elements of behavior interventions for the disruptive behaviors of children with social, emotional and behavioral difficulties. A systematic review was conducted through an electronic search of studies (from 2000 to 2017) on ERIC, Web of Science, FRANCIS, and MEDLINE databases. The inclusion criteria involved: (i) an intervention improving behaviors at school of children with disruptive behaviors; (ii) elementary school children with the majority of the sample or average age between 6-11 years old; (iii) at least one measurable outcome focusing on social/emotional/behavioral outcomes; (iv) single-case designs. Of the 5339 articles that were identified in the initial screening, 27 met the criteria to be included in the review. Common characteristics of successful interventions are discussed to make recommendations for future implementation.

Shared leadership and employee empowerment develop positive feelings in employees towards the organization, the work they do and themselves. These positive emotions create confidence for employees to try new methods and techniques in their work. Employees who approach their work with an innovative mindset will be more beneficial to their organizations and increase their own satisfaction. In this study, the shared leadership, employee empowerment and innovativeness levels of schools, the relationship of these variables with each other and the predictive status were examined according to the perceptions of the teachers. This study is a research in relational survey model. The data of the research were collected in the province of Malatya in November during 2019-2020 academic year. The data were collected through "Shared Leadership", "Employee Empowerment" and "Innovativeness" scales. Correlation analysis and structural equation modeling were used to analyze the data. According to the results of the research, the levels of shared leadership, employee empowerment and innovativeness in primary schools are “partially high”. There is a positive, significant and moderate relationship between the school's shared leadership and employee empowerment and teachers' innovativeness. In addition, shared leadership and employee empowerment predict teachers' innovativeness. For this reason, it is considered important to create a school environment where leadership is shared in order to increase the innovativeness of teachers and to support teachers and include them in decision-making processes in order to empower them.

The primary purpose of this research was to determine the effect of principal instructional leadership behavior on several determinants: organizational commitment, efficacy, and teacher satisfaction through school health. Five instruments that had been used are the principal instructional management rating scale (PIMRS); organizational health inventory for elementary schools (OHI-E); online course questionnaire (OCQ); teacher satisfaction scale (TSS); teacher efficacy scale (TES). All of these instruments had high validity and reliability; with Cronbach’s alpha values of each was PIMRS (.83), OHI-E (.81), OCQ (.80), TSS (.86), and TES (.79). A total of 350 public primary school teachers in Surakarta had been selected as respondents in this study with satisfied random sampling. AMOS software version 6.0 is used to analyze CFA and SEM. The results of SEM analysis to the structural model built by the researcher was good, with Probability = .001; RMSEA = .043; GFI = .941; AGFI = .907; CMIN/DF = 1.522), so the relationship between the variables in the constructs was interpreted; (1) The Principal instructional leadership behavior had a significant direct influence on the school health, (2) The school health parameter had a significant direct influence on organizational commitment, efficacy, and teacher satisfaction, (3) The principal instructional leadership behavior did not have a significant direct effect on organizational commitment, efficacy, and teacher satisfaction through the variables and school health.

The purpose of the study is to identify how the coverage of topics of the Code of Conduct for Research in Education in Ukraine is consistent with the ones from the United States of America (USA) and Europe. Furthermore, the study attempts to explore coherences in the documents so that these could be reviewed and addressed. The study used the methodology for mixed-methods systematic reviews to respond to the first research question and the survey research methodology to respond to the second one. It was identified that the research integrity and ethics terms were not sufficiently covered by the Codes of education and research organisations from Ukraine compared to the Codes from the USA and European Union (EU). It was found that there was a shift from emphasising the role of the researcher (contributor) in the Codes from the USA and EU to drawing the importance of regulatory and legal instruments for the maintenance of research integrity and ethics in Ukraine. The prescriptive wording in the Codes of professional organisations in the USA and EU was given much greater attention than in the Codes of educational and research institutions in Ukraine. The Codes of the educational and research institutions from Ukraine were considered to be tentatively consistent with the relevant ones from the database from the USA, and Europe.

This study examines the state of grant writing practices in Ukrainian universities and proposes recommendations to enhance their capacity to secure external funding for research and development. Through a mixed-methods approach involving surveys and semi-structured interviews, data was gathered from researchers and faculty members. The study identifies challenges faced by Ukrainian universities in obtaining external funding and highlights important themes for improving grant-writing practices. These themes include promoting collaboration, providing resources and infrastructure, implementing language support policies, raising awareness of funding opportunities, offering institutional support, fostering a research culture, establishing internal grant review processes, leveraging international collaborations, and emphasising evaluation and learning. By addressing these themes, Ukrainian universities can improve their grant-writing practices, increase proposal competitiveness, and enhance success rates in securing external funding. This study provides valuable insights, complements existing literature, and offers practical recommendations for grant writing in Ukrainian universities.

Psychosocial and educational intervention approaches employ diverse treatment frameworks, most of which involve delivering some form of feedback to participants about their behavior. General conceptions of feedback are well-known to underlie mainstream therapeutic and educational approaches. Recently emerging ‘smart’ approaches also rely on feedback principles. However, little scholarship is available to stitch together evolving strands of feedback principles and no literature characterizes explicitly the diverse landscape of feedback practices employed in education or intervention science. This paper reviews intrinsic conceptions of feedback along with diverse cases of its use in intervention and education. Based on our consideration, we present a typology of feedback modalities that we hope will enrich the efforts of interventionists and educators to design treatment and educational frameworks incorporating feedback.

Publishing research is crucial and is of utmost significance. However, it is a daunting task for most researchers, especially if one is a beginner with very limited experience. The generalizability of much of the previously published research was limited to the negative aspects of the publishing process rather than the whole circumstances they had to face. Therefore, this article sought to explore the experiences of preservice teachers as novice researchers in publishing their research outputs in a research journal. This study employed a qualitative-phenomenological approach. Five major themes emerged from the interview with eight purposively selected former preservice teachers who had first-time encounters in publishing that the research investigates. These themes were encapsulated through the acronym “FLAME,” namely: (a) facing personal circumstances, (b) leveraging positive dispositions, (c) acknowledging dependency on research promoter, (d) meeting publishing standards, and (e) encountering poor physical and mental well-being. This article concludes that the journal publishing process is a multidimensional and enriching experience, providing the full spectrum of positive and negative experiences for novice researchers. This paper highlighted some implications that can be used as a guide to support novice researchers in the publication process.

This study aimed to evaluate the impact of problem-based learning (PBL) within a teaching unit on the advancement of ethical reasoning and decision-making skills among Israeli female tertiary students. Employing a quasi-experimental design, 48 female students were distributed into three groups, with two serving as control groups receiving conventional curriculum-based instruction and one as an experimental group exposed to the PBL methodology. Both before and after implementation, all groups underwent assessments using a decision-making competency test and an ethical reasoning scale. The results unequivocally demonstrated the significant enhancement of decision-making abilities and ethical thinking through the implementation of the PBL strategy. Comparative analysis revealed substantial improvements in the experimental group compared to the control groups, emphasizing the efficacy of PBL in fostering comprehensive skill development. Furthermore, a positive correlation between ethical thinking and decision-making skills further reinforces the beneficial outcomes associated with PBL. These findings advocate for the widespread integration of PBL techniques across various academic disciplines.

In the early stages of adopting online learning, both learners and teachers displayed resistance, but the COVID-19 pandemic has forced a widespread shift to digital learning. To facilitate this transition, there is a growing focus on highlighting the effectiveness of online learning, which directly impacts learning outcomes. This study investigates online learning effectiveness through an integrated framework that considers online assessment practices and online course design as independent variables, with online learning support as a moderating variable. Understanding the effectiveness of online learning is crucial as hybrid learning becomes the "new norm" in education, combining online and offline methods for teaching the digital generation. Using a quantitative research design involving 232 students at Universiti Kebangsaan Malaysia, the study found that online assessment practices and course design significantly influence students perceived learning outcomes in an online learning environment. Additionally, online learning support positively moderates this relationship. These findings offer a comprehensive perspective on how online assessment practices, course design, and support systems contribute to the quality of higher education in Malaysia amidst evolving educational practices.

This article investigates artificial intelligence (AI) implementation in higher education (HE) from experts' perspectives. It emphasises the view of AI's involvement in administrative activities in higher education, experts' opinions concerning the influence of the incorporation of AI on learning and teaching, and experts' views on applying AI specifically to assessment, academic integrity, and ethical considerations. The study used a qualitative method based on an unstructured qualitative interview with open-ended questions. The participants were thirteen individuals currently involved with higher education institutions and had various talents related to AI and education. Findings stress that implementing AI technology in administrative roles within higher education institutions is essential since it cuts costs, addresses problems efficiently and effectively, and saves time. The findings also revealed that AI plays a vital role in learning and teaching by speeding up the learning process, engaging learners and tutors, and personalising learning depending on the learner's needs within an entirely intelligent environment. AI can produce an accurate, objective, and suitable level of assessment. AI aids students in developing a stronger sense of integrity in their academic work by guiding them through AI-powered applications. AI must adhere to ethical laws and policies, ensuring its potential negative aspects are not overlooked or left unchecked.

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.

The integration of AI tools in education is reshaping how students view and interact with their learning experiences. As AI usage continues to grow, it becomes increasingly important to understand how students' perceptions of AI technology impact their academic performance and learning behaviours. To investigate these effects, we conducted a correlational study with a sample of 44 students to examine the relationship between students' perceptions of ChatGPT’s utility—focusing on usage frequency, perceived usefulness, accuracy, reliability, and time efficiency—and key academic outcomes, including content mastery, confidence in knowledge, and grade improvement. Additionally, we explored how these perceptions influence student behaviours, such as reliance on ChatGPT, procrastination tendencies, and the potential risk of plagiarism. The canonical correlation analysis revealed a statistically significant relationship between students' perceptions of ChatGPT's utility and their academic outcomes. Students who viewed ChatGPT as reliable and efficient tended to report higher grades, improved understanding of the material, and greater confidence in their knowledge. Furthermore, the bivariate correlation analysis revealed a significant relationship between dependency on ChatGPT and procrastination (r = 0.546, p < .001), indicating that a higher reliance on AI tools may contribute to increased procrastination. No statistically significant association was identified between ChatGPT dependency and the risk of plagiarism. Future research should prioritize the development of strategies that promote the effective use of AI while minimizing the risk of over-reliance. Such efforts can enhance academic integrity and support independent learning. Educators play a critical role in this process by guiding students to balance the advantages of AI with the cultivation of critical thinking skills and adherence to ethical academic practices.

This study explores the impact of artificial intelligence (AI) integration on students' educational experiences. It investigates student perceptions of AI across various academic aspects, such as module outlines, learning outcomes, curriculum design, instructional activities, assessments, and feedback mechanisms. It evaluates the impact of AI on students' learning experiences, critical thinking, self-assessment, cognitive development, and academic integrity. This research used a structured survey distributed to 300 students through Microsoft Forms 365, yet the response rate was 29.67%. A structured survey and thematic analysis were employed to gather insights from 89 students. Thematic analysis is a qualitative method for identifying and analysing patterns or themes within data, providing insights into key ideas and trends. The limited response rate may be attributed to learners' cultural backgrounds, as not all students are interested in research or familiar with AI tools. The survey questions are about AI integration in different academic areas. Thematic analysis was used to identify patterns and themes within the data. Benefits such as enhanced critical thinking, timely feedback, and personalised learning experiences are prevalent. AI tools like Turnitin supported academic integrity, and platforms like ChatGPT and Grammarly were particularly valued for their utility in academic tasks. The study acknowledges limitations linked to the small sample size and a focus on undergraduate learners only. The findings suggest that AI can significantly improve educational experiences. AI provides tailored support and promotes ethical practices. This study recommends continued and expanded use of AI technologies in education while addressing potential implementation challenges.

The field of engineering education is constantly evolving to meet the challenges of technological and societal advancements. Continuous research should be conducted to identify the potential match between the skills that employers seek and the ones engineering graduates gain at college. The purpose of this study is to identify areas of agreement and disagreement between the faculty and employers regarding the skills and knowledge that engineering students acquire during their undergraduate education. The study uses an explanatory sequential design method by employing a questionnaire that was developed based on the Engineering Competency Model (ECM) by the Employment and Training Administration of the USA Department of Labor and responded to by 125 volunteer engineering faculty. Additionally, interviews were conducted with 2 industry professionals to gain deeper qualitative insights. The study found that while faculty mainly stated that students acquire personal effectiveness, academic, and workplace competencies in college, employers disagreed with these perceptions, particularly regarding interpersonal skills, integrity, professionalism, writing, and communication. Additionally, the study found a significant mismatch between faculty and employer assessments of industry-wide competencies, with employers expressing concerns about graduates' preparedness in areas like design, business, and sustainability. These findings suggest significant updates and cooperation with industry experts in engineering curricula and their implementation.

This article provides a comprehensive guide to conducting and documenting systematic reviews (SRs) in educational research. While SRs are increasingly recognized for their value in synthesizing and evaluating literature on specific research questions or topics, there remains a notable scarcity of research-based papers that guide their development within the field of education. Systematic reviews, distinguished from traditional literature reviews by their standardized processes—including systematic searching, selection, and critical appraisal of relevant studies—offer a more accurate and comprehensive understanding of the research landscape by integrating findings from multiple sources. This paper underscores the importance of adhering to established methodologies and guidelines to ensure the quality and reliability of SRs. Essential elements discussed include defining research questions, developing search strategies, applying inclusion and exclusion criteria, and synthesizing results. The paper also highlights the role of frameworks such as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in enhancing transparency and methodological rigor. By following this structured approach, researchers can produce systematic reviews that provide valuable insights into educational practices and policies, thereby supporting evidence-based decision-making and advancing the field of education.