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This study analyzes the influence of locus of control and supervision channeled to an organization as a whole on organizational commitment and examines and describes the influence of locus of control and supervision on organizational commitment. The instrument uses questionnaires. The sample is determined by proportional stratified random sampling. From 268 teacher samples from 33 public junior high schools in Tangerang Regency, data analysis used structural equation modeling (SEM). The findings show that locus of control and supervision significantly affect organizational commitment, and locus of control significantly affects supervision. These findings prove that the locus of control and supervision of teachers can act as indicators of organizational commitment. The practical implication of this research is to provide knowledge and information for teachers and school management to increase organizational commitment by applying the concepts of locus of control and teacher supervision.

Open Distance e-Learning (ODeL) is on the rise to cater to non-traditional students. However, the surge in master's and doctoral students opting for ODeL raises concerns about the quality and timely completion of degrees. Existing literature on student attrition in higher education indicates that both student-related factors and institutional variables significantly impact completion rates. Factors such as students' sense of connection or isolation, as well as institutional aspects like supervisor responsiveness to feedback and feedforward, contribute to student persistence. To address this early attrition and extended stays in postgraduate studies, a community of practice (CoP), comprising lecturers and master's and doctoral students was formed. The CoP employed the Social Learning Theory (SLT) approach to initiate collaborative partnerships designed to promote a research culture and explore alternative approaches to curb master's and doctoral late completion and attrition. This paper reports on a study undertaken to explore the experiences, perceptions and insights of master's and doctoral candidates regarding the implementation of innovative multimodal Open Distance e-Learning supervision practices. Grounded in SLT, the exploratory case study employed an open-ended questionnaire to gather data from the students participating in the support programme. The findings revealed the positive impact of innovative practices on candidates' academic development and overall research experience. The findings further demonstrated that virtual communication tools have significantly enhanced collaboration between candidates and supervisors, breaking down geographical barriers and facilitating real-time feedback and guidance. The innovative multimodal OdeL supervision practices gave master's and doctoral candidates flexibility and increased their learning engagement.

Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test. With this aim in mind, we carried out a randomized field experiment using a simple video surveillance system through Google Meet during an online closed-book final exam of an Introduction to Microeconomics course. Given that all conditions except for webcam monitoring were identical, differences in between-subjects scores are attributed to academic dishonesty. After controlling for potential confounding factors, including gender, academic degree, instructor, previous score and whether students were repeaters or not, we found that those students who were proctored via webcam obtained statistically significant lower scores in the final exam than those who were not using this surveillance system with a low level of invasiveness. Inspection of the potential factors behind these differences in scores suggests that the poorer performance of proctored students is more related to academic dishonesty than to reasons involving anxiety or heterogeneity factors.

The number of students with autism spectrum disorder (ASD) in PreK-12 schools has increased over time. However, paraeducators supporting students with ASD typically receive limited training and are unprepared for their roles. As part of a larger survey study, we conducted a content analysis of responses by paraeducators in one U.S. state across three open-ended survey items focused on their skills, training, and challenges specific to supporting students with ASD. Despite reporting limited preparation and training, paraeducators described a variety of knowledge, skills, and dispositions related to supporting students with ASD, many of which resulted from their practical experiences as opposed to school-based training and supervision. Our findings also confirm that paraeducators face a number of challenges in collaborating with other educational professionals and families and supporting students with ASD across settings due to limited training and preparation. We present implications for developing paraeducator training programs in the area of ASD and future research directions.

Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable large-scale studies on practitioners' design practices. Such an approach would be especially useful in the context of mobile learning, where practitioners' design practices are under-explored and complex (e.g., involving both formal and informal learning activities, happening between physical and digital spaces). Objectives: We inquire about the kind of designs that practitioners create in mobile learning by analysing the entire databases of two m-learning tools, Avastusrada and Smartzoos, which promote inquiry learning outdoors. Methods: We use supervised machine learning to classify the textual content of the designs based on the cognitive level required from learners, the inquiry-based learning phases they cover, and their connection with the learning context (e.g., the role played by the situated environment). Results and Conclusions: Results from the in-the-wild studies emphasize practitioners' tendency to design contextualized activities, but that include few higher-order thinking tasks and elements of inquiry learning. This raises questions about the real-life pedagogical value of similar mobile learning tools and highlights the need for providing pedagogical guidelines and technical solutions that would promote the adoption of good learning design practices. Major takeaways from the study: While we show that machine learning techniques (informed by learning design elements) can enable large-scale studies and provide useful insights, to best understand and support practitioners' design practices it would be necessary to combine them with other quantitative and quantitative analyses (e.g., a qualitative understanding on why practitioners take specific design decisions). Future research could use similar machine learning approaches to explore other design settings, as well as explore scenarios where similar algorithms can be embedded in design tools, to guide practitioners' design practices.

School psychologists can support schools in implementing inclusive practices. In Portugal, the Decree-Law 54/2018 has set the country on the path to inclusive education based on whole-school approaches. This policy shift demands a change in school psychologists' practices to be agents for systems change versus traditional roles (such as assessing and counseling students). An e-learning training course was developed and implemented by nine psychologists through a partnership between the Ministry of Education and the Portuguese Psychology Association, focused on the Multi-tiered Systems of Support framework for constructing inclusive schools. The main aim was to empower school psychologists to support adequate, inclusive, and multi-tiered intervention responses in their schools, resourcing a collaborative and supervised approach. From all Portuguese regions, 327 psychologists participated in the training from October 2020 to April 2021. This article focuses on the trainers' experiences of training, collected through a focus group, reflecting on the challenges, opportunities, and necessary improvements for future training in school psychologists in Portugal on this topic. Trainers have identified organizational and pedagogical aspects as critical to the training delivery and quality that should be addressed in future training courses for school psychologists.

The study investigated how clinical supervision affects the personal and professional development of first-time supervisees. The explanatory sequential mixed methods research design was employed in the study. Quantitative data was collected using a single group pretest-posttest experimental design to evaluate the impact of supervision on the personal and professional development of counselors in training. Individual interviews were conducted with 51 volunteer participants who were counselors in training at a state university in western Türkiye. Paired-sample t-tests were used to analyze the quantitative data, while content analysis was employed for the qualitative data. The findings showed that supervision significantly enhanced the counselors in training's effective counselor characteristics and self-awareness management strategies. However, there were no significant differences in hindering self-awareness and professional disposition. The qualitative analysis revealed that counselors in training who participated in supervision gained a deeper understanding of counseling procedures and techniques, increased trust in the profession, and improved self-efficacy. Counselors in training also highlighted the positive impact of their supervisor and group supervision format on their development. The results of the study suggest the significance of supervision in counselor education. It is recommended that the variables included in the current research and the effect of supervision should be examined in more studies.

In this study, we analyze undergraduate student responses in 1,364 surveys to better understand student reactions to online proctoring. We present findings regarding two aspects of student reactions to online proctoring: First, we assess whether students believe that the act of cheating in online exams diminishes the legitimacy of their courses; and second, whether students think online proctoring reduces cheating and enhances the perceived legitimacy of their course performance in the eyes of graduate schools or employers. Additionally, we explore how anxiety interacts with these student perceptions. The data collected in this study support the contention that cheating reduces perceived course legitimacy, and online proctoring minimizes cheating and increases perceived course legitimacy. Finally, the data shows that when asked if they would prefer to take their examinations in the classroom or with online proctoring, students who participated in this study said they would pick online proctored exams.

Interpreters are some of the most important people in the lives of our deaf and hard of hearing students, yet hiring and retention requirements are weak, variable, or nonexistent. Despite this, many school interpreters have become skillful and effective professionals driven by their desire for competence and sense of integrity. State employment standards, however, have created a national emergency regarding interpreting services for our students. Establishing and strengthening standards to ensure high quality interpreting services is an urgent need in public schools. This article is about what is happening in schools and what change is needed.

This scoping review explored university supervisors' roles, responsibilities, challenges, and changes over 70 years. Using the PRISMA-ScR method and 90 analyzed publications, the results yielded articles from every decade and from educator preparation programs across the United States. The findings highlight historical perspectives and controversies surrounding field supervision. These include influences throughout the decades from areas outside education, including psychology and business. Finally, recommendations for preparing and elevating the role of university supervisors are shared.

This study targets to investigate the opinions and perceptions of the online and distance learners regarding to online proctored exams. A qualitative case study was employed to explore views of the participants related to the online proctored exam practice. The data were collected from 69 undergraduate distance learners via an online form. A content analysis approach were employed to analyze the data. As a result of the content analysis three themes namely, satisfaction, dissatisfaction, and exam administration emerged. The findings indicated that while online and distance learners were satisfied with the online proctored exams as they are secure, convenient, accessible, and reliable they also dissatisfied because of the technical problems and surveillance. Furthermore, the results also revealed that the administration of the online proctored exams needs to be reviewed. It is hoped that the findings will pave the way for future applications and research on the design and implementation of online proctored exams. Implications and future research suggestions are discussed.

This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online examinations. However, there is a paucity of research on the VUCA elements that the Invigilator app triggers in students and in lecturers during online examinations. The study was informed by a critical data surveillance framing, and it used convenience sampling to collect data through semi-structured interviews with seven lecturers (n = 7) for various undergraduate English Studies modules. Additionally, it employed purposive sampling to collect data from five (n = 5) email queries sent by five first-year, undergraduate English Studies module students to their lecturers when they experienced problems with the Invigilator app during their online examination. The findings indicate that lecturers and students struggled with the Invigilator app as an e-proctoring tool. Future research should focus on other less-invasive and better AI-proof assessment methods of maintaining academic integrity in online assessments.

The study aimed to (1) investigate the components and indicators of active learning instruction competency among elementary school teachers, (2) examine the current state, desired state, and necessary requirements of active learning instruction competency among elementary school teachers, and (3) develop an educational supervision model based on instructional coaching and mentoring principles, aimed at enhancing active learning instruction competency among elementary school teachers under the jurisdiction of the Office of the Basic Education Commission. The study was divided into three phases: Phase 1 examine the components and indicators of active learning instruction competency. The target group comprised 7 qualified individuals selected through purposive sampling, with suitability assessed using an appropriateness assessment questionnaire. Phase 2 the current state, desired state, and necessary requirements of active learning instruction competency among elementary school teachers are investigated. The sample group consisted of 384 elementary school teachers selected through multistage random sampling, employing a proportional stratified sampling technique. A questionnaire with a 5-point Likert scale was utilized for data collection. Phase 3 the development of the supervision model involved input from a group of 9 qualified individuals selected through purposive sampling. These individuals were chosen based on their expertise and relevance to the research objectives. Research tools included interviews and assessments. The research findings revealed that: (1) there were 4 components and 24 indicators of active learning instruction competency among elementary school teachers. These components are categorized as follows: (1) Designing of active learning management: comprising 6 indicators, (2) Organization of learning activities focusing on higher-order thinking skills and practical application: consisting of 4 indicators, (3) Utilization of educational media, innovations, educational technology, and learning resources: encompassing 6 indicators, and (4) Measurement and evaluation based on actual conditions: including 8 indicators. Overall, the competency level is rated as the highest. (2) The current state was rated as moderate, while the desired state was rated as the highest. Upon disaggregating the components of the supervision model, it was found that the component with the highest level of necessity was Component 2, which pertains to organizing learning activities emphasizing higher-order thinking skills and practical application. (3) The results of developing the educational supervision model based on instructional coaching and mentoring principles to enhance active learning management competency among elementary school teachers, under the jurisdiction of the Office of the Basic Education Commission, revealed that the supervision model consisted of the following steps: (1) Planning, (2) Observation, (3) Reflection, and (4) Evaluation. These steps were deemed highly appropriate and feasible at the highest level.

In this study, an alternative method of addressing the problem of high plagiarism in graduation theses is proposed, which results in low motivation among candidates as well as supervisors. Using international experience in training economics specialists, particularly those not commonly implemented in Kazakhstan, the researchers propose a new approach to graduate thesis preparation. This involves introducing the use of unstructured cases by candidates while ensuring alignment with university policies. This study compares two ways of organizing graduate thesis preparation, distinguishing between the traditional method and the method that utilizes case studies. The study conducted throughout 6 months covers 160 undergraduate students divided into two groups. Each group prepared and defended their graduate theses according to one of the models. Statistical analysis revealed that the model of thesis preparation using the case-based approach were more effective. The approach involving case study provided an improvement in both candidates' and supervisors' responsibility and advanced the professional skills contributing to employment upon graduation.

The need for teachers who are thoughtful and attentive to issues of social justice is more apparent now than ever before. Teacher education can and should be tasked with preparing teachers to serve a student population that is becoming more diverse over time. As teacher educators who function within both the university coursework and student teaching fieldwork spaces, teacher candidate supervisors are well-positioned to support candidates to make sense of and incorporate social justice-centered practices in their teaching. Building on the findings of Jacobs (2006), a comprehensive literature review of journal articles published in the last 20+ years revealed that orientations toward supervision for social justice can be characterized as "multicultural," "critical," "culturally responsive," or "anti-racist." This literature base described practices associated with supervision for social justice such as problematizing, storytelling, critical reflection, role-playing and rehearsals, and the use of professional learning communities. The identified literature also details challenges to supervising for social justice, including institutional barriers and power hierarchies, silence, or hesitancy with regard to conversations of race and racism, and the need for more research.

Due to the marginalization of supervision (Butler, et al., 2023; Nolan, 2022) and few frameworks to conceptualize supervision in teacher preparation, educational supervision of clinical experiences receives less attention and fewer resources, which perpetuates its marginalization. It is imperative that scholars develop additional theoretical models or constructs to improve the understanding and practice of supervision to elevate its status beyond technical helping. In this paper, we draw upon several sources in the instructional supervision literature to re-conceptualize commonly used images of supervisors in teacher education. In addition to traditional conceptions (The Critic, the Popular Parent, the Co-Inquirer), we 'introduce' two new images, The Advocate and The Contemplative, to reflect changes and movements in education. These images can serve as one theoretical model or construct to improve understanding and practice of supervision to elevate its status.

Educational reform in the modern era which the school administrators and all personnel in the school Must improve and develop themselves to keep up with changes in the era of globalization. By using the supervisory management model process to develop educational quality, these research objectives are to: 1) Study the problems and elements of supervision. Target group: 15 people 2) Create a supervisory model. By conducting in-depth interviews with 15 people involved. 3) Experiment with the supervision model with a sample group of 3 schools. 4) Evaluate the use of the supervision model. By organizing a seminar with 15 experts and asking for opinions about its usefulness. Feasibility, appropriateness, and correctness of the format from 291 study supervisors. The instrument used was a questionnaire. Statistics were used to find the mean and standard deviation. It can be summarized as follows: 1) Problems in supervision include an insufficient number of supervisors. Study supervisors lack knowledge Lack of good supervision skills and no systematic planning. There are 5 important elements as follows: (1) objectives, (2) planning, (3) supervision, (4) monitoring and reflection, and (5) development and application. 2) Creating a model for supervision, including (1) objectives, (2) content of supervision, (3) process, (4) method, (5) supervisor and supervisor, (6) duration, (7) planning, (8) execution, (9) Evaluation, (10) teamwork, (11) network building, (12) knowledge management, (13) learning and quality development, (14) building morale, and (15) improving development. 3) The results of the trial use of the model had a reliability value of 0.80. Average comparison results in Knowledge before training and after training, tested with a t-test, and were found to be different. Statistically significant is at the 0.01 level. They were satisfied with the model. Overall, it is at the highest level ([x-bar] = 4.90, S.D. = 0.53) and the results of the overall evaluation of the use of the format are at the highest level ([x-bar] = 4.89) and overall satisfaction with the use of the format is at the highest level ([x-bar] = 4.63). 4) Model evaluation results are useful feasibility, suitability, and correctness. Overall, it is at the highest level ([x-bar] = 4.63, S.D. = 0.12).

The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning, and significant levels of cheating have been reported in the academic literature for over sixty years. Much of this literature, however, has focused on student behavior in a classroom utilizing proctored, in-class exams. Grades on exams usually determine most of a student's final grade in a course, and GPAs are used by employers and graduate schools to indicate a student's subject matter mastery. As more conventional colleges and universities expand their online course offerings it is natural to wonder if academic dishonesty is more prevalent in online classes than in face-to-face classes. In particular, are students more likely to cheat when no one is watching (i.e., on unproctored assessment assignments) than they do when someone is watching (i.e., on proctored assessment assignments)? The purpose of this study is to investigate whether students cheat more on unproctored online exams than they do on proctored in-classroom exams, and if so, is there any pattern to their cheating behavior. Our findings are derived from careful empirical analysis of 741 undergraduate students who completed three unproctored online exams, several collaboration-encouraged assignments, and a proctored in-class comprehensive final exam in the same course with the same instructor. Additionally, we collected demographic and human capital data for every student. Using bivariate and regression analysis, we find significant evidence of more cheating on unproctored online exams than on proctored in-class exams even though students were given stern honor code violation warnings. Moreover, we discover that student cheating increased with each unproctored online exam, implying that students learn how to cheat as they become more familiar with taking online assessment assignments. Finally, we find that students with certain demographic and human capital characteristics tend to cheat more than others. This research strongly supports the use of proctoring for all evaluation assignments in online classes to ensure that grades in these classes properly reflect student aptitude as opposed to merely reflecting their ability to cheat.

Work-integrated learning (WIL), as an educational approach, is facilitated through relationships between Higher Education Institutions (HEIs) and external 'host' organizations. Responsible host organizations should recognize that students undertaking WIL come from a range of different cultures, socio-economic backgrounds, and have varying academic, physical, and other capabilities. An inclusive workplace will seek to facilitate a positive and rewarding experience for all WIL students. Recent WIL literature has seen a strong focus on inclusive access to WIL. This article examines key elements that can contribute to host organizations providing an inclusive environment for students. Socio-cultural theories related to learning in the workplace are used as a theoretical lens. An Inclusive WIL Workplace Framework is proposed, highlighting principles, practices, and supervisor and co-worker characteristics, that can be utilized by workplaces to assess their inclusivity and address any gaps, and by students to understand the expectations of HEIs on host organizations.

COVID-19 has revolutionised assessment design and practices in higher education; however, there has been no shift in the objective of enhancing the relationship between assessment and learning that promote the holistic development of students. In this study, we provide an empirical evaluation of the perceived effects of assessment practices (invigilated examination and alternative assessments) on students' mental wellbeing, learning processes, and academic misconduct. A cross-sectional study design was employed for this study in which a self-reported survey instrument was administered to 380 undergraduate and postgraduate students in a public university in Australia. We explored the correlations within defined networks by path analysis via partial least square structural equation modelling (PLS-SEM) framework of SmartPLS 3. Model assessment indexes indicated acceptable convergent, divergent, and construct validity scores for the instrument used. Compared to invigilated exams, students perceived alternative assessments to have significant positive direct effects on stress levels, research skills, learning process, and time management (p < 0.05). In relation to academic misconduct, students generally perceived invigilated exams to restrain such practices, however, the perceived effect was not statistically significant when compared with alternative assessments (p > 0.05). Although, the popularity of alternative assessment practices may have been driven by COVID-19, the pilot findings from this study suggest that these assessment designs and practices have greater potential to promote overall student success and productivity and must be encouraged and utilised in the post-COVID-19 era.

A substantial percentage of international students are placed on academic probation each year. This study explored the challenges and resilience characteristics of Chinese international students placed on academic probation in their first year of college. Semi-structured interviews were conducted with nine probationary Chinese international students, and the data were analyzed using a thematic analysis approach. The results indicated that challenges with daily routine, reduced adult supervision, inadequate academic preparation, and limited participation in the application process were the main factors that contributed to their academic probation. Proactivity, independence, and flexible thinking were important resilience characteristics that may have helped students cope positively with stresses relating to academic probation. Targeted institutional support could be strengthened. Implications, limitations, and suggestions for future research are also discussed.

A homogeneous distribution of students in a class is accepted as a key factor for overall success in primary education. A class of students with similar attributes normally increases academic success. It is also a fact that general academic success might be lower in some classes where students have different intelligence and academic levels. In this study, a class distribution model is proposed by using some data science algorithms over a small number of students' dataset. With unsupervised and semi-supervised learning methods in machine learning and data mining, a group of students is equally distributed to classes, taking into account some criteria. This model divides a group of students into clusters by the considering students' different qualitative and quantitative characteristics. A draft study is carried out by predicting the effectiveness and efficiency of the presented approaches. In addition, some process elements such as quantitative and qualitative characteristics of a student, data acquisition style, digitalization of attributes, and creating a future prediction are also included in this study. Satisfactory and promising experimental results are received using a set of algorithms over collected datasets for classroom scenarios. As expected, a clear and concrete evaluation between balanced and unbalanced class distributions cannot be performed since these two scenarios for the class distributions cannot be applicable at the same time.

This quantitative study is designed to help educational institutions and instructors make informed decisions regarding the use of online proctoring software. The researchers studied the impact of proctoring software in online courses by comparing the final grades of two groups of online, undergraduate students who took the same online course with the same professor who administered virtually the same content, with and without proctoring software. The overall sample included 252 students in six different undergraduate courses. When regressing all six courses together, the data did not show that the addition of proctoring software created a significantly lower course grade. The researchers then regressed the data of each individual undergraduate course, with the addition of independent variables, which had a mixed-bag of results. Interestingly, an undergraduate business course showed that the use of proctoring software reduced course grades while other courses produced interesting significant findings relative to gender and attendance status.

Northeastern University's EdD faculty faced unique challenges during the pandemic and racial reckoning following George Floyd's murder. During this period, however, we found opportunities to adapt and improve our program. We prioritized compassion and connection. We made significant strides in curriculum development through design and implementation of three new concentrations. We focused all program elements on how social justice works in a variety of educational settings. We altered our approach to data collection and doctoral supervision. In so doing, we were able to maintain consistency for our students and develop a closer bond with our faculty colleagues.

Work-integrated learning (WIL) is a well-established educational strategy with acknowledged benefits for student learning and employability. This paper explores and documents Intensive WIL, where students undertake short or condensed WIL experiences, ranging from 35 to 400 hours. Four case studies from different universities, designed for different purposes, using either placement or project approaches, and with different student cohorts, showcase the flexibility and adaptability of this model of WIL. Drawing on existing quality frameworks developed for WIL, a new, dedicated set of quality indicators was developed to evaluate examples of intensive WIL, as demonstrated in the case studies. This new framework places greater emphasis on the WIL experience itself, which has had little previous attention. The study confirms that given the right conditions, and used for the right purposes, Intensive WIL delivers quality experiences for students. Unique challenges of Intensive WIL include: sourcing projects with appropriate scope and complexity that are achievable and from which students will learn; ensuring students have command of previous theoretical concepts, as there may be little time to get them up to speed during Intensive WIL; ensuring all stakeholders understand their roles and responsibilities for smooth operation; and effective communication between workplace and university staff, as there is less time to recover from any difficult situations that may arise.

Studying towards a postgraduate qualification is viewed as a booster that may usher employees towards management positions. We have found common mistakes in research proposals for master's degree students in a department at the University of Namibia. Our presentation shows the shortcomings in the research proposals of postgraduate students and proposes interventions to address the challenges. We collected qualitative data through the observations of nine (9) Master of Education research proposals, which were conveniently selected. Our analysis showed shortcomings in research proposals submitted to the Department of Education at the University of Namibia. Moreover, there is a need for the introduction of a writing unit at the university to supply writing services such as academic writing, proof reading and editing. We recommend that regular practical training is offered on effective academic writing to postgraduate students. We also show the need for postgraduate students to be oriented towards the plagiarism policy and referencing style of the university. This calls for the re-thinking of ways that enable effective postgraduate student supervision, which may address the quality of student research output.

This research aimed to: 1) investigate the components and performance indicators for organizing experiential activities that foster life skills among early childhood students, particularly those taught by teachers under the Office of the Basic Education Commission of Thailand; 2) examine the current state, desired state, and the needs of supervision models for teachers to develop experiential competency that promotes life skills in early childhood students; and 3) enhance the supervision models for developing experiential competency, specifically focusing on promoting life skills among early childhood students taught by teachers under the Office of the Basic Education Commission of Thailand. The research is divided into 3 phrases. Phase 1: examine the components and indicators, targeting a qualified group of 9 experts selected through purposive sampling. This selection is based on the appropriateness assessment using the components and indicators evaluation form. Phase 2: investigate the needs of the supervision models. The sample group comprises 320 early childhood teachers, selected through multi-stage random sampling using a questionnaire with a 5-level Likert scale. Phase 3: developing the supervision models. Nine qualified experts selected through purposive sampling examined the appropriateness of the supervision models. The data were collected through questionnaires, interviews, assessments, and observations. Average, standard deviation and Priority Needs Index (PNImodified) were used to analyze the data. The findings of the study revealed the following: (1) The components and indicators of life skills serve as standards for teachers in organizing experiences that promote life skills for early childhood students. There are 5 components and 23 indicators, categorized as follows: 1) Decision-making with 5 indicators, 2) Problem-solving with 5 indicators, 3) Analytical thinking with 4 indicators, 4) Empathy with 4 indicators, and 5) Communication with 5 indicators. Overall, the proficiency level is rated as the highest. (2) The current state is rated as the highest, and the desired state is also at a high level. When assessing the needs of the supervision models, it is found that the component with the highest need is Component 3--Analytical Thinking. This is followed by Component 2--Problem-Solving, Component 4--Empathy, Component 1--Decision Making, and Component 5--Communication, with the lowest index of essential needs respectively. (3) The results of enhancing the supervision models for teachers to develop experiential competency that promotes life skills in early childhood students reveal that the supervision models encompasses five formats: 1) Preparation: Planning and development, 2) Strengthen Relationships and Increase Knowledge: Building relationships and expanding knowledge, 3) Knowledge into Practice: Applying knowledge into practice, 4) Reflection: Reflecting on outcomes for understanding, and 5) Evaluation: Quality measurement and assessment. These formats are deemed highly suitable, appropriate, and effective.

In this study, we looked at the competencies and practices of clinical supervisors' role in teacher education programs in Israel. The study encompassed two phases. The first was holistic and included multiple data sources. The second took place in real-life in schools. We opted for a smallscale qualitative embedded multiple-case study design. The findings reveal three patterns of clinical supervision. The first, the most prevalent, focused on the responsibility of the clinical supervisors exclusively for the pre-service teachers. The second was collaborative supervision of clinical supervisors and mentor-teachers. The third pattern, which was rarely found, was characterized as hybrid-supervision. We argue that the challenges of changing the relationships among all stakeholders and leading collaborative learning require a new definition of clinical supervisors as academia-school partnership leaders and a different paradigm of teaching and learning.

Quality in research supervision is one of the main concerns among the institutions and stakeholders today especially those involved in open and distance learning (ODL). This research examined the supervision experiences of postgraduate research candidates during different stages of research at the biggest open and distance learning institution of Pakistan. The study was based on mixed-method approach using sequential design (Quan[right arrow]qual). Survey was conducted from the postgraduate research candidates enrolled under the four different faculties of Allama Iqbal Open University, Pakistan. An adapted version of Supervisor-Supervisee Relationship Questionnaire (Saleem, 2014) was administered along with autobiographical accounts of the research candidates selected through a multi-stage sampling design. The generated data were used to identify the supervision related experiences of research candidates with respect to the different personal and institutional factors. Further, to explore region specific supervision issues, their reasons with respect to the ethnic and cultural aspects focused group discussion was conducted at Provincial Head Quarters (PHQs) of the university. The findings implicated valuable academic and administrative adaptations for improving the quality of research supervision practices for open and distance learning institution.

This research analyzed and compared administrators' supervisory and teachers' pedagogical skills concerning quality education in Public and Punjab Education Foundation Funded Schools at the secondary level, in line with the Vision of Sustainable Development Goal 4 (SDG-4) by 2025 (Minimum Standards for Quality Education in Pakistan, 2016). The research employed a descriptive method and adopted a quantitative approach. For this study, 248 head teachers were selected from public schools and 126 from Punjab Education Foundation Funded Schools via simple random sampling, making a total sample of 374 respondents. Data were collected using a five-response Likert scale and analyzed with SPSS, including mean, standard deviation, t-test, and f-test to assess the difference between administrators' supervisory and teachers' pedagogical skills towards quality education in both school types. The study concluded that administrators in public secondary schools exhibited better academic and professional qualifications and that both administrators' supervision and teachers' pedagogical skills were superior in public schools. Additionally, public schools were more aligned with the Minimum Quality Standards for Schooling to meet the vision of Sustainable Development Goal 4 (SDG-4) by 2025 for quality education compared to Punjab Education Foundation Funded Schools. It is recommended that the heads of Punjab Education Foundation-funded schools enhance their supervisory skills, while teachers should improve their pedagogical skills to align with the vision of Sustainable Development Goal 4 (SDG-4) by 2025.

Background: Postdoctoral training holds an increasingly important place in preparation for leading academic and research positions. While little empirical research has described postdoctoral training beyond the sciences, across all fields, "misaligned expectations" are often touted as a key source of postdoctoral strife. Purpose/Hypothesis: This article describes mentorship competency beliefs within engineering and computer science fields, which increasingly engage in postdoctoral training. Design/Method: An embedded mixed-methods design was used to quantitatively identify mentorship profiles from survey data using latent profile analysis (LPA) from a sample of n = 118 postdoctoral scholars and n = 165 postdoctoral supervisors. Qualitative thematic analysis of interviews with n = 29 postdoctoral scholars and n = 20 postdoctoral supervisors was used to identify meaning in the differences between quantitative profiles. The combination of LPA with thematic analysis enabled the triangulation of distinct postdoctoral mentorship profile definitions. Results: LPA identified six postdoctoral fellow profiles and four supervisor profiles, which became clearly definable through thematic analysis. Postdoc profiles included Technical Manager, Autonomy Focused Advisor, Stretched Mentor, Well-Rounded Mentor, Exemplar Mentor, and Leader-Mentor, while supervisor profiles included Autonomous Mentor, Reflective Mentor, Research Lab Mentor, and Confident Leader-Mentor. Some of these are aligned, but several are not, giving insight into the phenomenon of "misaligned expectations" in postdoctoral literature. Conclusions: The mentorship profiles illustrate the misalignment in expectations, which leads to negative mentorship experiences for many postdoctoral scholars.

Online and computer-assisted learning have become widespread in the rapidly evolving education landscape. However, these learning modalities uniquely challenge academic integrity, escalating the potential for academic cheating. This systematic review used thematic and narrative syntheses to examine the relationships and the effects of self-doubt and self-regulation on academic cheating in online and computer-assisted learning environments. It involved a sample of 93 peer-reviewed empirical studies published between 1998 and 2023 across five electronic databases adhering to the principles of the PRISMA framework. Findings reveal that different emotional, motivational, and cognitive factors act as primary mediators, while the individual, situational, and environmental factors were significant moderators. These findings underscore the context-dependent and inconsistent effects of self-doubt and self-regulation on academic cheating. Notably, while self-doubt and self-regulation exert opposing influences on academic cheating, other factors, such as gender, culture, performance, feedback, peer pressure, and proctoring, significantly modify these effects. Hence, the relationship between self-doubt, self-regulation, and academic cheating in online and computer-aided learning is thus intricate and dynamic, depending upon various individual, situational, and contextual elements that shape students' motivation, emotions, and cognition. Therefore, this study contributes to the broader discourse on online and computer-aided learning by offering strategies to prevent and reduce academic cheating. Recommendations include promoting self-regulation, reducing self-doubt, focusing on specific mediators and moderators, and utilizing different resources and techniques to measure and identify academic cheating. The results underline the importance of a concerted, multi-faceted approach to upholding academic integrity in the era of digital learning.

This study focuses on the changes that doctoral education has experienced in the last decades and discusses the role of doctoral supervisors. The figure of doctoral supervisor continues to be a subject of much debate; therefore, the aim of this study is to provide a universal, global, and common definition that clearly establishes the roles and functions of doctoral supervisors. Employing a multi-method approach, the study utilized the perspectives of linguistic relativism and prototype theory to understand how linguistic and label diversity may influence the perception and approach to supervisory tasks. We examine a corpus of 55 different labels to refer to "doctoral supervisor." Data was collected from 116 countries, encompassing 47 different languages and 55 distinct labels from Europe, Africa, America, Asia, and Oceania, forming a unique corpus of information. The results reveal a total of 18 functions to be fulfilled by the doctoral supervisor. Additionally, the findings underscore the significance of linguistic influence in conceptualizing the functions associated with the supervisor in various cultural contexts and highlight the necessity for redefining the role of the thesis supervisor. The results hold potential benefits for doctoral schools and supervisors, serving as guidelines for standardizing the functions of the doctoral supervisor.

Unproctored and teacher-proctored exams have been widely used to prevent cheating at many universities worldwide. However, no empirical studies have directly compared their effectiveness in promoting academic integrity in actual exams. To address this significant gap, in four preregistered field studies, we examined the effectiveness of unproctored and teacher-proctored exam formats in deterring cheating behavior among university students and the role of academic integrity reminders. All four studies used a double-blind, randomized, controlled design. Before taking an exam, students were randomly assigned to take either an unproctored condition or a teacher-proctored exam, with or without receiving an academic integrity reminder. We found that the unproctored exam format is significantly more effective in reducing cheating than the teacher-proctored exam format and adding academic integrity reminders before the exams significantly reduces cheating. These findings demonstrate that incorporating unproctored exams and pre-exam academic integrity reminders into a university's assessment practices may be a useful strategy for reducing academic dishonesty and upholding assessment validity.

The National School Nurse Workforce Study 2.0 describes the demographic characteristics and distribution patterns, school nursing models and activities, and practice environment among self-reported public school nurses in the United States. A random sample of U.S. public schools was surveyed, stratified by region, school level, and urban/rural locale. A total of 2,827 schools responded, yielding a 38.1% response rate. Using these data, we estimate 78,869 full-time equivalents of school nurses, with 65,052 registered nurses (RN) and 13,817 licensed practical/vocational nurses (LPN/LVN). Findings indicate school nurse distribution differences by region, locale, and income. The predominant model of school nursing practice was the RN only, followed by the RN and LPN model. In general, school nurse respondents felt supported by school staff and parents. Less than half of survey respondents stated they were supervised by an RN. Research, policy, and school nursing practice implications are discussed.

The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such measures are harmful and instead proposes a "CARE" framework: critical, authorial, rhetorical, and educational--a nuanced approach emphasizing ethical and contextual AI use in technical writing classrooms. This framework aligns with plagiarism best practices, initially devised from when rhetoric and composition scholars considered the pedagogical implications of the Internet.

Spirituality and religion (R/S) are important aspects of diversity and functioning for most people, and training in these areas for mental health professionals is needed. But how much training is enough? This paper proposes R/S training guidelines that can be used to inform coursework, practicum/internship didactic training, and supervision.

One of the aims of clinical supervision is to ensure counselors meet the ethical obligations of the counseling profession, which include religious and spiritual (R/S) competence. To date, however, there has been no framework for the supervision of R/S competence in the research literature. We use an extension of the spiritually competent orientation model to illustrate how to conduct supervision that builds R/S competence in practice.

Scholars suggest that culturally responsive instructional supervision (CRIS) is an important component of equitable teaching practices in schools. This fictional case study details the experiences of a fifth-grade team who, along with their principal and their instructional coach, perform a discourse analysis of their own mathematics lessons to diagnose the equity gaps in their teaching and make necessary adjustments. The case narrative highlights the need for equitable teaching practices in the mathematics classroom and the potential needs of school leaders as they work to create more equitable learning environments in their schools through the use of CRIS.

The study focused on the improvement of supervisory skills among mentor teachers in K-12 who work with student teachers in an English language teaching program of an English-medium state university in Istanbul, Turkey. The researchers explored how the mentor teachers' supervisory skills, namely observation and giving feedback, were improved after participating in an online mentor training program. The training program was designed based on Morrison et al.'s (2013) instructional design model and implemented for seven mentors during the practicum period. The program included mentoring tasks that asked mentor teachers to organize reciprocal observation sessions with the student teachers, followed by mutual feedback discussions. The researchers investigated the influence of the tasks through thematic analysis of the mentor teachers' reflection reports. The data showed that the tasks improved mentor teachers' understanding and practice of the supervision process and increased their awareness of their own teaching practices by promoting personal and professional growth. The results suggest that an online mentor training program may have the potential to empower mentor teachers both for their supervisory roles and ongoing professional development.

Social support is a crucial factor in the academic engagement of doctoral students, which is vital to their overall success. While past studies have mostly focused on the support from doctoral supervisors, support from other significant groups, including institutions, peers and families, has been largely neglected, and even no study has investigated their contributions to doctoral students' development. Drawing from the job demands-resources model, this study investigated the contributions of different sources (institutions, supervisors, peers and families) of social support to doctoral students' academic engagement. It further examined the mediating role of grit within these relationships. A sample of 472 doctoral students across various disciplines from 10 universities in mainland China responded to an online survey. Results showed that institutional support and supervisory support positively predicted doctoral students' academic engagement, while peer support and family support did not significantly predict academic engagement. Furthermore, grit was found to mediate the relationship between support from institutions and supervisors and academic engagement. Practical implications for higher education institutions, doctoral supervisors and programs are discussed.

Schools have increasingly relied on paraeducators in elementary settings to help address student needs. Research demonstrates that simple prevention strategies, like active supervision (e.g., moving, scanning, interacting), can reduce problem behavior in areas where paraeducators are assigned; however, less is known about how to best support paraeducators in implementing these practices. For this study, four paraeducators participated in a brief training on recess active supervision and then engaged in self-management by filling out a checklist and direct behavior ratings (DBRs). Using a multiple baseline across participants design, we introduced the intervention to participants in a randomly assigned order and examined effects, fidelity, and social validity. Results suggest that training and self-management may lead to changes in the interacting behavior of active supervision at recess with more frequent prompting and praising by the paraeducators. Despite limitations, this exploratory study has implications for schools and researchers.

This study aims to develop a program on giving effective feedback (GEFP) which is designed to improve principals' feedback capacities that support teachers' in-class teaching and to examine the impact of this program. The program covers leadership, supervision, classroom observation, trust, active listening, feedback and statistical analysis topics. Experimental mixed method design was used in this research. The study group and sample of the research consist of 16 school principals and 602 teachers working in the experimental (N=8) and control (N=8) group schools in the province of Hatay in the 2018-2019 academic year. The "school principal feedback scale" was used as the quantitative data collection tool, and a semi-structured interview form was used as the qualitative data collection tool. It was concluded that GEFP contributed significantly to both the process and function factors of the feedback and increased the capacity of school principals to give effective feedback within the scope of improving teaching. The calculated effect size revealed that the contribution of GEFP to the function factor is higher than the process factor. Qualitative findings revealed that school principals realize the importance of supervision and feedback, improve themselves professionally, change their managerial behaviors positively, and show instructional leadership behaviors. As a result, it was determined that school principals started to give effective feedback by demonstrating behaviors related to the feedback process literature after GEFP. Considering the contribution of giving effective feedback to teachers to improve their teaching, it is recommended that GEFP should be provided for all school principals as in-service training.

In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the Scoring Assistant using Artificial Intelligence (SAAI). SAAI calculates scores without relying on predefined labels and generates scientific keywords from student responses to provide constructive feedback. We collected a substantial number of constructed responses from students, and four pre-service teachers evaluated these responses initially without any external assistance and then re-evaluated them using SAAI scores as a reference point. Employing a mixed-methods approach, this study demonstrated a strong level of consistency between human raters and SAAI scores. Pre-service teachers also reflectively recalibrated their assessments and adjusted their rubrics to identify students' learning more accurately. This study highlights the practical application of AE in real classroom settings and demonstrates how AE can enhance efficiency and accuracy in K-12 science assessments, thus supporting teachers.

Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of academic dishonesty. Instead of applying component-based feature extraction, this study provides a deep learning-based approach to online exam proctoring that recognizes exam candidates' behaviors directly from video input. By using an online exam dataset consisting of twenty-four test-takers who replicate real-world actions, experimental results show the efficiency of the approach. The article provides a collection of webcam recordings with annotated actions to evaluate the proposed approach. The findings show that a deep learning model using the Slow Only variation has a true detection rate of 78.9%. The visualization module reduces the amount of time invigilators must spend watching videos to capture academic misbehaviors by offering a comprehensive graphical view with details of a candidate's actions during an exam. The study's conclusions will help design an effective and efficient system for online exam proctoring in resource-constrained environments.

Prompted to discover what makes a good graduate student supervisor, scholars from two large research universities conducted a qualitative study in which alumni of the institutions' student affairs preparation programs were asked to nominate exceptional supervisors they had as graduate students. Nominated supervisors were invited to interview and share their experiences supervising graduate students. The supervisors interviewed displayed adaptability, individualization, and a focus on graduate student learning. More often than not, this went hand-in-hand with granting graduate students the agency to handle projects that took them out of their comfort zones. Many supervisors also emphasized relationship-building with their graduate students. They considered this to be integral to building mutual trust and respect. Overall, these supervisors created an individualized work experience that focused on student learning, agency, and mutually positive and trusting relationships. Equipped with a sense of outstanding supervisor/ee relationships and practices based upon the findings of the study, this article offers suggestions developed to address how graduate students can make the most of their supervisory experience.

Remote or online proctoring (invigilating) is a technology primarily used to improve the integrity of online examinations. The use of remote proctoring increased significantly as the world switched to online assessment during the COVID-19 pandemic. Remote proctoring received negative media attention, including concerns about user privacy, discrimination and the accuracy of automated systems for detecting and reporting cheating. However, it is unclear whether these media concerns fully reflect the experiences of students. Online assessment offers a number of potential advantages to learners and education providers, and it seems likely that it is here to stay. It is essential to fully understand the learner experience of remote proctoring, with a view to ensuring it is as effective as possible while meeting the needs of all stakeholders, especially those being proctored. We undertook a scoping review of research into the student experience of online proctoring, with a pragmatic focus, aimed at developing guidance for higher education providers, based on the student experience. We reviewed primary research studies which evaluated the student experience of the use of remote proctoring for summative assessment in Higher Education. We used the Education Research Information Center database (ERIC) and Google Scholar. 21 papers were identified, from which the positives and negatives of the student experience were extracted, along with the main recommendations from the research. These were then synthesised into a series of summary recommendations by thematic analysis, by a team of researchers that included students and academic staff. We found that student experience was largely negative, influenced by concerns over privacy, technological challenges, fairness and stress. Recommendations were to include the student voice in decisions about how and why to use remote proctoring and limiting the use of remote proctoring. Working with students as partners and limiting the use of remote proctoring where possible, are key to ensuring a positive student experience.