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Over the past few years, technology integrated into online learning has become a significant component of education in response to educational evaluation worldwide, especially in Indonesia. The current study aims to explore the TPACK levels of Javanese school teachers, identify integrated technologies-based media used by Javanese school teachers in online learning practices and learning assessment, and analyze the benefits and drawbacks of Javanese school teachers integrating technology in online learning. This study used a mixedmethod design, combining quantitative and qualitative approaches. The participants were 330 Javanese school teachers from Central Java Province and Yogyakarta Special Region, Indonesia. The findings reveal that Javanese school teachers are more proficient in pedagogical knowledge, pedagogical content knowledge, and content knowledge than technological knowledge, technological content knowledge, technological pedagogical knowledge, and TPACK. Javanese School teachers have integrated various technologies into online learning. However, Javanese school teachers limited technological literacy affects the efficiency of online learning. In addition, this study also offers an overview of the knowledge and expertise of Javanese school teachers regarding technology mastery in online learning. Thus, this study suggests that policymakers facilitate Javanese school teachers to develop technological skills in transferring materials in online learning to support the current adapted curriculum.

This study aims to explain how language plays a significant role in improving the performance of regional development banks in Indonesia. The method used was qualitative with a questionnaire instrument involving 6 regional development banks in Indonesia. Some of the main findings are 24 statements were found, 19 of which fall into 5 categories, namely assertive illocutionary speech acts, directive illocutionary speech acts, expressive illocutionary speech acts, commissive illocutionary speech acts, and declarative illocutionary speech acts. In its implementation, the process emphasizing the humanistic approach scored over 90%. By prioritizing language training initiatives that emphasize the mastery of illocutionary speech acts, regional banks in Indonesia can expect improved operational efficiency, strengthened customer relationships and a more strategic approach to communication, contributing to the overall development and success of the banking sector. This study is limited to the context of only one type of bank, the regional development bank. It is further suggested that there is a strong need to provide adequate and timely capacity building for the employees of regional development banks, particularly in language training as part of public service and satisfaction development.

Managing school finances by school governing bodies (SGBs) in South African secondary schools has proven to be a challenge that has several negative consequences for education, infrastructure, and other resources. The purpose of this article was to assess the efficiency of financial management systems (FMSs) in selected schools in the Amathole West education district. A case study design and qualitative approach were employed in the study. Purposive sampling was used to select SGB members from 2 schools in the district. The research participants were interviewed using face-to-face and telephonic interviews. We found that while there is understanding and alignment of financial systems by SGBs, insufficient or limited financial resources, inconsistencies in dealing with financial management matters, and government deposit allocation delays, SGBs' level of education and bank operations pose challenges and lead to the misalignment of school operations. Based on the study, we suggest that SGBs adopt strategies to enhance the financial management of schools, namely monitoring and evaluation, the appointment of qualified SGB members, increased training, a stipend system for SGBs and timeous deposit of funds to schools.

Computational thinking (CT) is a concept of growing importance to pre-university education. Yet, CT is often assessed through results, rather than by looking at the CT process itself. Process-based assessments, or assessments that model how a student completed a task, could instead investigate the process of CT as a formative assessment. In this work, we proposed an approach for developing process-based assessments using constructionist tasks specifically for CT assessment in K-12 contexts, with a focus on directly connecting programming artifacts to aspects of CT. We then illustrated such an assessment with 29 students who ranged in CT and programming experience. These students completed both a constructionist task and a traditional CT assessment. Data from the constructionist task was used to build a process-based assessment and results were compared between the two assessment methods. The process-based assessment produced groups of students who differed in their approach to the task with varying levels of success. However, there was no difference between groups of students in the scores on the traditional CT assessment. Process-based assessment from our approach may be useful as formative assessment to give process feedback, localized to the task given to students.

Objectives: The main objective of this study is to understand the factors that encourage the use of mobile ebooks among mathematics postgraduate students. Method: This study employed a qualitative case study approach. Eight mathematics postgraduate students from the algebra research group participated in the study. Data were collected via interview and analyzed by using constant comparative analysis. Results: Utilitarian, cognitive, affective, social norm, and content qualities were the main factors influencing the use of mobile ebooks among the participants. Conclusions: Mobile ebooks are easy to use and provide a meaningful platform to find information. In addition, the mobile ebook provides instant access to new information with a single finger click, thus enabling students to extract the needed information and make constructive comparisons on the subject matter. Theory and/or Practice Implications: Results expand understanding of the factors that motivate the use of mobile ebooks for learning activities among mathematics postgraduate students. In addition, the study also provides support for institutions planning to incorporate mobile ebooks as an important reference material for postgraduate learning and research activities.

This research explores the innovative integration of OpenAI's GPT-3.5 within a university-level English as a Foreign Language (EFL) writing course, illustrating a novel approach to academic instruction. The course follows the ADDIE instructional design model, encompassing five systematic stages: analysis, design, development, implementation, and evaluation. This model serves as the backbone of the course structure, ensuring a comprehensive educational experience. The incorporation of the Technological Pedagogical Content Knowledge (TPACK) framework in this course facilitates the effective integration of GPT-3.5 by enabling instructors to align advanced AI capabilities with appropriate pedagogical strategies, thereby enhancing the learning experience. TPACK guides educators in applying GPT-3.5's features in a manner that is contextually relevant and pedagogically sound, ensuring the technology's use complements the course content. The findings from this research are significant. They reveal that GPT-3.5 addresses three fundamental challenges often encountered in academic writing courses. Firstly, it enhances efficiency by providing immediate feedback and generating content ideas, accelerating the writing process. Secondly, GPT-3.5 ensures cohesive organization within students' writing, guiding them to structure their thoughts more logically. Lastly, it serves as a reliable substitute for traditional peer reviewers, offering critical and objective feedback that students can use to refine their drafts. As students engage with AI, they enter a dynamic partnership. This collaboration with GPT-3.5 fosters critical thinking and empowers students to develop a distinctive writing voice. Through this interaction, students are not merely passive recipients of knowledge but active participants in a learning process that is augmented by cutting-edge technology. This study not only provides insight into the potential of AI-augmented academic writing but also highlights GPT-3.5's role in promoting writing proficiency. It demonstrates that the application of AI in education can enhance the learning experience without compromising the individuality of student expression.

Knowledge applied to innovation is increasingly recognized as an explanatory factor of economic growth. Innovation derives from applying knowledge to generate new products or processes. National Innovation Systems (NIS) performs as the formal or informal network of people within institutions interacting to produce and apply knowledge to innovation. NIS can be understood as two subsystems: one based on scientific and technological work, producing codified products (publications and patents), and the other centered on practical actions to diffuse, apply, and use knowledge. Our objective is to assess cost efficiency in the production of codified knowledge outputs (CKO), being our unit of analysis NIS (countries). To attain our goal, we apply a Stochastic Frontier Analysis (SFA) to estimate a cost frontier of CKO. The panel sample includes 1189 observations for 23 years (1996-2019) and 82 countries. Our main results identify determinants and patterns of efficiency and productivity, tendencies, and specifics of countries and groups of them.

The teaching practicum, which is an integral part of any teacher's education, is considered the most crucial and influential stage for student teachers. This study explored the commonalities and differences in teaching practicum programs in three teacher education institutions in Cambodia. Employing a cross-case analysis, the author triangulated the data by examining teaching practicum guidelines, reviewing related documents, and interviewing the practicumin-charge (n = 12). As data display and analysis techniques, the researcher utilized qualitative comparative analysis, in which the relationship among cases was arranged in a "truth table" by variable to synthesize the commonalities and differences. Inductive content analysis was used to thematically analyze the documents. This study found that the organization of the teaching practicum at the three teacher education institutions was less productive in bridging the theory-practice gap because of an unclear follow-up system throughout the implementation process. Moreover, the assessment was inappropriate and unreliable. Additionally, mentoring activities were insufficient and ineffective for helping student teachers. This study has the potential to contribute to the field of teacher education, specifically the teaching practicum, and provide insights for policymakers, because there is little local literature available.

The main issue that is discussed today in schools, in educational institutions, by researchers and education experts, is the quality in education. In addition to numerous discussions on issues of educational quality, in addition to defining quality standards and criteria and in addition to establishing criteria to measure quality, the role of the director in evaluation and performance is also discussed. The research aims to document the principal's communication with teachers, in order to increase the quality of teaching for a good school. It also highlights the different communication styles that primary school leaders currently use and the relationships that prevail with their staff. For this research, the quantitative and qualitative approach was used, while the chosen model is descriptive. The quantitative and qualitative data collected from this research describe the principals' communication styles with their staff. Participants were 7 school principals74 teachers who were selected via purposive method from the school the research was conducted with. The results have proven that communication makes the connection between individual behavior, organizational structure and leadership. Changes in communication can be the result of educational reform, they can also be a stimulus for changes in the school and model of cooperation. Effective communication is at the center of almost every aspect of school and teacher activity because it connects the school with all important factors such as teachers, parents, the surrounding community, etc. If efficiency, quality or innovation needs to be improved, high communication skills are needed for this.

It is known that gifted individuals have existed for centuries and have played important roles in the development and progress of societies. In recent years, there has been a need for education systems that provide the environment and conditions in which gifted children can express themselves easily, that can help them overcome the problems and incompatibilities they are exposed to in their formal education, and that can reveal and develop their superior talents and capacities in creativity under the guidance of teachers specialised in the education of gifted children. BILSEMs are the most systematic among the educational activities carried out in this field in Turkey. In this study, the purpose, organization, process and climate dimensions of the organizational effectiveness of Science and Art Centers that provide education to gifted children in Turkey; It is aimed to examine and evaluate according to the opinions of administrators, teachers, parents and students. In other words, it was aimed to determine the effectiveness level of Tunceli Haci Bektas Veli Science and Art Center (BILSEM) according to the perceptions of administrators, teachers, parents and students. This research is a descriptive study conducted in the scanning model. The universe of the research consists of the administrator teacher (n:9) working in BILSEM in Tunceli, the teacher-student (n:40) continuing education in BILSEM and the parents of these students (n:29) in the first semester of the 2022-2023 academic year. consists of. In addition to the demographic information form, the BILSEM Organizational Effectiveness Manager-Teacher Scale (57 items) was applied to the administrators, the BILSEM Organizational Effectiveness Student Scale (38 items) to the students, and the BILSEM Organizational Effectiveness Parent Scale (31 items) to the parents, in addition to the demographic information form. In order to carry out the research, ethics committee approval was obtained from the Munzur University Ethics Committee before starting the research. Participants included in the study were included in the study on a voluntary basis. As a result of the study, it was observed that there was a significant negative correlation between the average scores of the "BILSEM Organizational Effectiveness Manager-Teacher Scale" and the average scores of the "BILSEM Organizational Effectiveness Student Scale" and "BILSEM Organizational Effectiveness Manager-Teacher Scale" (p <0.05). It was observed that there was a negative, strong and significant relationship between the average scores of the "BILSEM Organizational Effectiveness Student Scale" and the average scores of the "BILSEM Organizational Effectiveness Parent Scale" scales (p <0.05). According to BILSEM administrators and teachers, BILSEMs are effective institutions in terms of purpose (X=3.81) and climate (X=4.50). It was observed that the least effective dimension was the process dimension (X=3.61). According to BILSEM parents, BILSEMs climate, purpose and process sub-dimensions are highly effective. The less influential dimension is the organizational dimension. According to this research, Tunceli Haci Bektas Veli Bilsem is an effective school, according to perceptions of teacher-administrator, parents and student. What needs to be done is a strong cooperation between relevant institutions and organizations and parents for higher-level effective BILSEM.

Globally, enduring skepticism around professionalism in education systems has questioned the efficiency in which teachers meet students' educational needs and their authority to do so. Presently, efforts toward professionalization in teacher education (TE) are threatened by neoliberal reforms promoting alternative pathways into teaching and performance-based accountability mechanisms to monitor teachers and schools. In the face of public mistrust and external threats, this conceptual paper aims to envision the future of TE in light of the complexities inherent to the notion of professionalism. To this end, two competing ideals of teaching, which represent co-existing conceptions of professional work in education are examined: The teacher as an expert clinician ideal entrenched in expertise-driven professionalism and the teacher as a democratic pedagogue grounded in democratic professionalism. I offer ways in which these competing discourses could be fused to set the discussion about professionalism in teaching and its implications for TE on firmer grounds.

Numerous scholars have investigated the determinants of university innovation efficiency. However, the internal governance aspects of universities and their interactions with the external environment are frequently neglected. Therefore, this study, grounded in the framework of embeddedness theory, employed the Stochastic Frontier Analysis method to empirically analyze innovation efficiency in Chinese universities. The results indicated that competitive threats significantly improved university innovation efficiency, whereas bureaucracy and international openness exhibited adverse effects, which were alleviated in regions with greater marketization.

Dropout refers to the phenomenon of students leaving school before completing their degree or program of study. Dropout is a major concern for educational institutions, as it affects not only the students themselves but also the institutions' reputation and funding. Dropout can occur for a variety of reasons, including academic, financial, personal, and social factors. Therefore, understanding the factors that contribute to dropout and developing effective strategies to prevent it is a critical challenge for educational institutions. In this study, we propose a hybrid deep learning model based on Long Short-Term Memory and Deep Neural Network algorithms for school dropout prediction. The proposed model was compared with previous works and several other machine learning algorithms, including Deep Neural Network (DNN), K-Nearest Neighbors (KNN), Naive Bayes (NB), Multi-Layer Perceptron (MLP), Decision Trees (DT), Support Vector Machine (SVM), and Random Forest (RF). The results showed that the proposed DNN-LSTM model outperforms the other models in terms of accuracy and efficiency.

The COVID-19 pathogen led to a fast expanding pandemic because it proved lethal in certain populations but could be transmitted by persons who appeared healthy. As a result, researchers came under unprecedented time pressure to develop a vaccine. This case study focuses on the first COVID-19 vaccine, which was approved for use in humans, known as Comirnaty, the BioNTech-Pfizer COVID-19 vaccine or Vaccine BNT162b2. With the benefit of hindsight, we show how close collaboration with regulators and trust-based decisions meant that the race for a COVID-19 vaccine was won without purposefully infecting healthy participants with an infectious agent that can cause severe illness or death and for which no rescue therapy had existed.

The slowdown in economic development caused by traffic accidents in Spain, together with the disparity in the risk of death or injury due to traffic accidents in its provinces, makes it necessary to evaluate their road safety performance. Therefore, the objectives of the present research are, on the one hand, to find out the level of road safety efficiency of Spanish provinces in the period 2014-2018. On the other hand, it is also aimed to determine to what extent the annual efficiency change is originated by pure changes in efficiency or by technological changes. To achieve both objectives, the nonparametric technique of Data Envelopment Analysis and the Malmquist Index have been used based on the consideration of the Safety Performance Indicators (SPI) as the inputs of the process. The research findings show changes in the level of road safety efficiency in each of the years of the study period. Thus, it is possible to identify a geographical delimitation of the causes that generate changes in efficiency in recent years. A contraction in efficiency and technological progress is identified in part of the Spanish provinces in the north, northeast, and south of Spain.

The digital economy, which boasts general technology, intense penetration, platform ecology, and low marginal cost, is a product of advanced digital technology. This new engine has become a driving force for high-quality economic development. From the three aspects of development momentum, efficiency, and structure, this paper profoundly explores internal mechanisms to lead the high-quality growth of the regional economy. By constructing an econometric model, the influence effect and means of the digital economy on the high-quality development of the regional economy are empirically tested. The digital economy and its three sub-dimensions can significantly promote the high-quality development of the regional economy. However, industrial digitalization has the most vital role in promoting it. The digital economy has shown a more vital promotion role in the central and western regions and provinces with low total factor productivity, and it can indirectly impact high-quality economic development by promoting dynamic, efficient, and structural changes.

Increasing career demands and expanding role expectations in a hyperconnected world batter higher education professionals, much like a tsunami of crashing waves toss a dingy at sea. To overcome the onslaught, professors are all but mandated to proactively build personal brands that deliver value propositions tightly aligning skills, expertise, and values of respective professionals, sub-units, and the institutions within which they operate, blurring and broadening branding boundaries. Long task lists, scarce time, and frazzled professionals, beckon for mechanisms that scale effort and activity to deliver results and efficiency. This article proposes a framework supporting adoption of transdisciplinary networking as one such effective scaling method. By hosting such events, colleges scaffold a variety of salutary effects that align with faculty development across teaching, research, and service areas.

International research suggests that the success of re-entering school for cancer survivors is multifactorial. The quality of the school-family-hospital liaison and the promotion of social links between the child with cancer and his or her classmates appear to be central points. In France, the schooling of children with cancer is not frequently examined, and the teachers' experiences are never discussed. The aim of our study is to investigate the professional practices and experiences of French teachers in kindergarten and primary schools welcoming students with cancer, regarding international studies, to contribute to improving the handling of these children. By using an international survey based on the Delphi method as well as qualitative data, we investigated the point of view of 66 French teachers working in kindergarten and primary schools. Both methods highlight that strong collaboration with parents, the information provided by medical staff, and social connections with classmates constitute needs for interviewed teachers. In parallel, keeping a constant link with the children and their families, raising the awareness of peers, and providing personalized support to the survivor student appear to be major resources for these teachers. In terms of difficulties, both methods attest that teachers request training and more support to manage both survivor students' academic difficulties, peer awareness, and mutual understanding. Besides, qualitative results suggest a lack of efficiency in school-hospital liaison and in institutional support, which might be strengthened through standardization of the re-entry process and systematic monitoring of the school career of these children.

This research aims to investigate information asymmetry in e-commerce supply chain channels and the impact of the fair preference model on the behavior and returns of channel members. Therefore, by contrasting it with the model in the completely rational case, this research establishes a more realistic principal-agent model and incorporates the fair preference model into the e-commerce supply chain channel. According to the model's analysis, the effort level of the retailer at each stage is positively correlated with the e-commerce efficiency coefficient, and the incentive coefficient of manufacturers is positively correlated with the e-commerce efficiency coefficient in the case where all rationality is assumed. Manufacturing companies' anticipated profits are positively correlated with the e-commerce efficiency coefficient. According to the fair preference model, retailers will put forth more effort to sell products when their fixed income from manufacturers is higher and their optimal effort level is positively correlated with that income. When e-commerce's efficiency coefficient is higher than 1, the retailer's revenue and effort exceeded those of traditional channels. Manufacturers and retailers both experience Pareto improvements in their earnings after the fair preference model is introduced.

Despite huge investments in the educational sector, many countries in Africa have not fared well in the education indices. This study examined the effect of teaching equipment and teachers' effort on learning outcomes in 744 Nigerian primary schools using Stochastic Frontier and Ordinary Least Square regression. The mean technical efficiency was 0.43 which showed most of the surveyed schools were technically inefficient. Also, 42.8% of public primary schools operate below 20% efficiency level as against 12.3% in private primary schools. Factors influencing efficiency include school ownership type, visits from the Local Government Education Authority Student-Teacher ratio, and school hygiene.

In this conceptual paper, we aim to revisit key research themes in contemporary organizational institutionalism and by doing this, redirect attention of scholars in public administration towards the most promising domains of application of institutional theory. We propose to shift attention from enabling and power-induced framing of institutional theory towards understanding it as a theory that helps recognize and analyse institutional pressures, constraints and inertia that influence administrative reforms and other organizational change attempts in public organizations. We sharpen the focus of institutional theory, specify the boundaries of institutional explanations by analysing questions that lie beyond institutional theory domain of application and suggest most promising research directions. Thus, we warn against unnecessary inflation of the scope of a theoretical apparatus and "explaining" how actors create, change and disrupt institutions and propose how institutional theory can be applied to predict the patterns of success or failure of changes in the public sector.

Universities across the globe are transforming or upgrading their campus infrastructure to prepare students for the work in the 21st century. Such campus transformations can be important in various ways. For example, universities can introduce innovative learning spaces that support recruitment and enrollment policies on campus. Even though the design, development, and efficient use of such spaces come with challenges, the reconceptualization of the university infrastructure is one way to move toward a new social contract for education. The author argues that innovative learning spaces can catalyze a new social contract for education. To overcome the challenges that accompany campus transformations, the models of governance and policies that support campus developments, such as partnerships within and between institutions, should be introduced.

A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that represents scenarios of different item discriminations in a straightforward and efficient manner. Its improvement is discussed, compared to classical procedures (tests and information criteria), and illustrated in Monte Carlo experiments as well as real data examples from educational research. The results show an improvement of power of the modified tests of up to 0.3.

The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely, these innovations raise significant concerns regarding validity, reliability, transparency, fairness, equity, and test security, necessitating careful thinking when applying them in assessments. In this article, we discuss the impacts and implications of LLMs and generative AI on critical dimensions of assessment with example use cases and call for a community effort to equip assessment professionals with the needed AI literacy to harness the potential effectively.

Background: The main goal of a health system is to maintain or improve people's health. The COVID-19 pandemic showed the fragility of health systems worldwide. In Mexico, the pandemic affected the performance of the health system, along with the presence of contextual conditions such as its segmentation and high prevalence of chronic diseases. Aims: To analyze from an approach to the functions of the health system, the service delivery, human resources, financing, and stewardship/governance in the local health services of five states of Mexico, from the perspective of the staff working in health centers. Methods: This is an exploratory qualitative study conducted from November 2020 to August 2021, involving 124 health professionals from 39 health facilities (18 rural and 21 urban). The technique used was the semi-structured interview. Interview guides were developed according to core topics. Subsequently, the thematic analysis method was used. Results: The lack of financial resources delayed prevention efforts and made it difficult for health centers to adapt to the crisis. Inequity was found in the distributive efficiency of staff between rural and urban areas and levels of care. In addition, there was evidence of capacity for coordination, capacity sharing, and joint participation between health institutions, civil authorities, and the population to face the emergency. Conclusions: We identified relevant public health actions that showed the capacity of local health services to organize a response to the pandemic at the level of the actors responsible for these services.

Research on the development of active learning and information search behaviors has been growing rapidly, drawing interest from multiple disciplines, from developmental psychology to cognitive science and artificial intelligence. These different perspectives can open pathways to understanding how preschool-age children grow into adaptive and efficient active learners. However, the lack of a shared vocabulary, operationalizations, and research paradigms has led to limited cross-talk and some conflicting findings. In this article, we advocate for using a shared operationalization of a "good" information-search strategy, as a function of its "efficiency" and "effectiveness" within a given ecology, based on the information-theoretic measure of expected information gain and observed behavioral outcomes, respectively. We also discuss factors that should be considered when designing experiments that examine children's information-search competence, specifically, using formal models as performance benchmarks and accounting for children's prior knowledge, assumptions, and self-generated goals.

This study assesses the technical efficiency of higher education institutions in terms of labor market outcomes for recent graduates, employing a comparative analysis of three distinct methodological approaches. Using a sample of recent graduates of Colombian universities who earned their degrees between 2007 and 2011, we estimated the institutions' efficiency scores through Data Envelopment Analysis (DEA), the Free Disposal Hull (FDH) model, and Cazals et al. (Journal of Econometrics 106:1-25, 2002) order-m estimator. Our results reveal that the estimation technique affects the results when super-efficient decision-making units are present, with the order-m technique demonstrating superiority over DEA and FDH. However, in the absence of super-efficient institutions, the efficiency rankings obtained from all three methodologies exhibit consistency. This paper contributes to the literature by highlighting the importance of methodological selection in evaluating the labor market performance efficiency of higher education institutions when recent graduates' perspective is adopted.

Global policy mobilities have been studied predominantly at the national level of education, but their implications and effects at the subnational level have been disregarded. This paper analyzes Proyectá tu Futuro, the first social impact bond (SIB) for education and employability implemented in Buenos Aires, Argentina. Since 2010, SIBs have become a booming type of policy, rapidly traveling and being adopted across countries and policy spheres. SIBs aim to align the incentives of the private sector--the third sector--and the public sector to obtain results while improving public-policy efficiency. However, often it is policy entrepreneurs' agendas and not results or efficiency goals that trigger SIBs' adoption. In this study, we analyze the diffusion of SIBs as policy mobilities and the processes of adoption and translation in the context of Buenos Aires. To this end, we draw on an analysis of policy documents, existing legal frameworks, and interviews with key actors. Our findings point to the role of "glocal" policy entrepreneurs as key agents for the adoption and translation of SIBs, as well as their capacity to advance their own agendas in the context of global policy mobilities in federal education systems.