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The COVID-19 pandemic compelled higher education institutions to adopt an alternative approach to learning. For mathematics education, supporting students through blended learning has become increasingly important as it will ensure students' learning is sustained in such a situation. This practical change has illuminated how cloud technology can be employed in mathematics education to improve the instruction process. Using a cloud classroom blended learning-instructional framework for integrating educational cloud tools into mathematics teaching, this study analysed students' metacognitive ability in mathematical problem-solving. A pre-experimental research using a one group pre-test-post-test design was conducted. The sample comprised sixty undergraduate mathematics students enrolled on a Numerical Analysis course. Sample selection was carried out using a simple random sampling technique. Data were analysed using a descriptive analysis, parametric tests, and n-gain. The results revealed that, firstly, the majority of students (90%) achieved a post-test score of metacognitive ability in mathematical problem-solving -- this exceeded the 60% threshold. Secondly, students' post-test score of metacognitive ability in mathematical problem-solving (mean score of 82.14, S.D. = 8.29) increased significantly compared to the pre-test score (mean score of 73.54, S.D. = 8.38). Further, the effect size was large. Thirdly, there was an enhancement of metacognitive ability in the mathematical problem-solving of students with a mean n-gain of 0.34, which is in the moderate category. Thus, cloud classroom blended learning significantly improved metacognitive ability in mathematical problem-solving among undergraduate students. Educators can apply the results to assess mathematics learning in order to improve the quality of metacognitive ability in mathematical problem-solving.

Comprehensive practice education is an integral part of the basic education curriculum, aiming to train students to connect textbook knowledge with real-world life through hands-on manipulations and in-person experiences in off-campus settings. In response to the challenges arising in the current enactment of the comprehensive practice curriculum in Chinese county-level schools, the Tianfu New District Educational Science Institute of China's Sichuan Province developed the "cloud-based study tour" model to leverage local cultural and social resources to advance comprehensive practice education. Strategies, such as digital empowerment and curriculum development partnerships, were adopted. This article focuses on expounding on the positive roles of the "cloud-based study tour" in supporting regionally balanced, high-quality practical education by fully utilizing digital technologies and partnerships in curriculum development.

Digital and information literacy skills are necessary to succeed in today's knowledge economy but for the millions of people in the world without internet access, a frustratingCatch-22 exists: How can they develop digital literacy skills without internet access? When they get access, what good is the internet to them if they don't have the skills to use it productively? One answer is an offline digital library called SolarSPELL. This report from the field describes a series of instructional videos the author created to foster digital and information literacy skills among novice SolarSPELL users.

This research focuses on the survey and study of building architecture built in approximately 1932-1992, in Nakhon Nayok Province, Thailand with the three research objectives: (1) to study modern architecture buildings in Nakhon Nayok that reach the criteria of modern building value for conservation and lifelong learning, (2) to create a roster of modern buildings in Nakhon Nayok by studying the distinctive features of architecture and its historical, social, economic, educational, and other valuable significances; and (3) to create a valuable buildings database according to modern architecture criteria, to be uploaded to the micro-phishing system, and to publish modern architecture conservation database in digital and photographic files as the database of Nakhon Nayok. The main features of the buildings are consistent with the nature of modern architecture that shows the structure importance, and the use of technology of various materials which shows the advance construction technology in those days. The buildings are as simple as a box. They are useful, respond to the public, worth to society and culture, and contain of historical significance. From the survey and study in Nakhon Nayok, it was found that there were 43 buildings reaching the criteria of modern building value for conservation and were saved in the database in accordance with the micro-phishing model. The details of 43 modern buildings are presented in a digital file format and photo database of modern buildings in Nakhon Nayok to propagate the modern architecture conservation database as a lifelong learning resource for the benefit of interested people.

During the COVID-19 pandemic, organizations increased virtual programming and adoption of online technologies. This article outlines the University of California assessment of tools for gathering data on participant learning outcomes from virtual educational programs. After assessing colleagues' experiences and searching for new web applications, a central repository was created. The University of California team will use this information to assist extension professionals in collecting program planning and evaluation data. We believe that these tools can help other extension programs nationally and globally with similar efforts, as more virtual programming is likely to increase in the future.

This paper investigates the integration of blockchain technology into core systems within institutions of higher education, utilizing the National Institute of Standards and Technology's (NIST) Cybersecurity Framework as a guiding framework. It supplies definitions of key terminology including blockchain, consensus mechanisms, decentralized identity, and smart contracts, and examines the application of secure blockchain across various educational functions such as enrollment management, degree auditing, and award processing. Each facet of the NIST Framework is utilized to explore the integration of blockchain technology and address persistent security concerns. The paper contributes to the literature by defining blockchain technology applications and opportunities within the education sector.

The popularity of digital badges has been accelerated in recent years. Advocates of digital badges suggest their use may improve students' motivation and achievement, but existing empirical studies have failed to show consistent results. Furthermore, to date, no meta-analysis has been conducted on the topic of digital badges. Given this gap, the purpose of this study is to systematically evaluate the effect of digital badges on student motivation and learning achievement. Our results suggest that digital badges have a significant impact on learning achievement, but the effect on motivation is inconclusive. In addition, moderator analyses were conducted to test the extent to which badge visibility, grade level, content area, and length of intervention influence the effects on motivation and learning achievement. The study provides an early summary of empirical digital badge research--an area still in its infancy. The results of this meta-analysis provide a foundation for the future of digital badge design and development research. Furthermore, our results can inform the practice of the implementation of digital badges in that digital badges can have stronger effects in the higher education context, with STEM subjects, and for a medium duration of one to nine weeks.

The principal investigator (PI) conducted this research study to explore the strategic cybersecurity defense IT Managers should implement to reduce healthcare data breaches. The PI conducted a systematic literature review and selected articles that addressed healthcare data security breaches, information disclosure, cybersecurity in healthcare, and IT Managers' lack of leadership competence. Also, various annotations from contextual, seminal, grey, and recent literature were used to find the research problem: The strategic cybersecurity defense IT Managers should implement to reduce healthcare data breaches has not been established. The PI collected secondary data from the Office of Civil Rights (OCR)/Department of Health and Human Services (HHS). The analysis, results, and findings are provided below in Part 9. Nevertheless, the routine interaction during health information exchange (HIE) on an interoperable network and the behavior of care providers and third parties who use computers and mobile devices to exchange patient data is an opportunity for cybercriminals to install malware or launch a ransomware attack to exploit potential vulnerabilities whether to steal sensitive data or compromise the network systems. Therefore, strategic cyber defense or an innovative security model would mitigate the threat. An exploratory design is used, and an epistemological approach supports the research method and design. The study is significant, and it will contribute to the body of knowledge the PI suggested for future research and provide major recommendations.

The pandemic has accelerated technological advances in higher education. Learning management systems that make use of the persistent platform, a wide range of communication options, and profoundly immersive qualities quickly become the platform of choice for learning management systems. The blockchain enables non-fungible tokens (NFTs) and uses the blockchain architecture to validate college diplomas and transcripts, opening the way for a diverse variety of e-portfolios owned and shared by students and teachers. Another type of blockchain that is relatively new to the education scene is decentralized autonomous organizations (DAOs). Through this, technology courses, certificates, and more can become automated and authenticated on the blockchain. The current state of the web is rapidly evolving into what is known as Web 3.0. It is the emerging evolution of the internet to make it machine-readable, which includes leveraging technologies such as artificial intelligence (AI), the cloud, and distributed ledger technologies such as blockchain. From the perspectives of the university and the metaverse, this paper discusses the shift in education brought about by NFTs, DAOs, Web 3.0, and the metaverse. The powerful mix of Web 3.0 and the metaverse is about to revolutionize the way people learn and teach in the modern world.

With the growth in digital teaching and learning, there has been a sharp rise in the number of cybersecurity attacks on K-12 school networks. This has demonstrated a need for security technologies and cybersecurity education. This study examined security technologies used, effective security practices, challenges, concerns, and wish list of technology leaders in K-12 settings. Data collected from 23 district websites and from interviews with 12 district technology leaders were analyzed. Top security practices included cloud-based technologies, segregated network/V-LAN, two-factor authentication, limiting access, and use of Clever or Class Link. Top challenges included keeping users informed, lack of buy-in from staff and decision-makers, lack of expertise to implement modern best practices, and cost of resources. Top concerns included possible cyberattacks, leaked student data, and lack of user awareness. Finally, their wish list included technology personnel, access to Clever of Class Link, external system diagnostic checks, professional development for staff, and replacing aging infrastructure. The findings have implications for K-12 administrators, technology leaders, and teachers.

The flipped learning approach of instruction sees classroom lectures moved outside of classrooms through devices and technology. Homework is moved inside classrooms as learning activities. Due to the COVID-19 outbreak, cloud-based education platforms - the organization of the educational environment in the cloud as a tool to enable teaching and learning - have been widely deployed to support online instruction. In this study, flipped cloud learning, incorporating approach of advancing mathematical thinking, were conducted in Mathematical Analysis course to study students' mathematical critical thinking. A quantitative method, using a pre-test-post-test design, was employed with a group of 56 undergraduate mathematics students. The research instrument was a mathematical critical thinking ability test. The quantitative data were analyzed using the descriptive analysis, n-gain and t-test. The findings revealed that students had statistically significant mathematical critical thinking of higher than 60% of the full score at the .05 level. There was an increase in students' mathematical critical thinking abilities with a mean n-gain of .64, which was moderate. The findings also show that the students' mathematical critical thinking was significantly enhanced by this approach at 0.05 level. Thus, it could be summarized that integrating strategy for advancing mathematical thinking into flipped cloud learning positively affected students' mathematical critical thinking. The results also suggest that this reformed learning approach might be usefully employed as an instruction model in the new normal context.

This study aims to make a descriptive analysis and evaluation of postgraduate theses on blockchain technology conducted in Turkey between 2017 and 2021. Qualitative research methods were used in this research, and theses were analysed with the descriptive content analysis technique. It has been observed that 111 studies have been carried out on blockchain technology and the first thesis was prepared in 2017. 107 graduate studies registered in the Higher Education Council of Turkey's National Thesis Centre database with access permissions were examined. Theses are coded according to publication date, university, institute, department, graduate/ doctorate level, advisors' academic title, thesis language, research method, research sub-areas, city and the region where the thesis was written. Studies on blockchain have been carried out in many universities, and Marmara University is the university that contributes the most to the subject with its graduate studies. Most studies were conducted at the Applied Sciences and Institute for Social Sciences. The distribution of the universities where the thesis studies are conducted according to the geographical regions is examined, the Marmara region leads with 70 studies, and no thesis studies have been carried out in the Eastern Anatolia region. Most of the thesis administrators are faculty members with the title of "Assist. Prof. Dr.". Most of the studies were written in Turkish, and primarily Qualitative Research methods were used. Theses were carried out in 10 institutes and 36 different departments, and most of the theses were produced from the studies in the Business department. The findings of this study will guide other researchers who want to work in the field of blockchain.

Employers are increasingly selecting and developing employees based on skills rather than qualifications. Governments now have a growing focus on skilling, reskilling and upskilling the workforce through skills-based development rather than qualifications as a way of improving productivity. Both these changes are leading to a much stronger interest in digital badging and micro-credentialing that enables a more granular, skills-based development of learner-earners. This paper explores the use of an online skills profiling tool that can be used by designers, educators, researchers, employers and governments to understand how badges and micro-credentials can be incorporated within existing qualifications and how skills developed within learning can be compared and aligned to those sought in job roles. This work, and lessons learnt from the case study examples of computing-related degree programmes in the UK, also highlights exciting opportunities for educational providers to develop and accommodate personalised learning into existing formal education structures across a range of settings and contexts.

This research examined the process of creating educational innovations through cloud-based constructivism and connectivism learning for undergraduates. The objectives were as follows: (1) To examine the cloud-based constructivism and connectivism learning model's roles in helping undergraduates create educational innovations; and (2) To evaluate the learning and innovation skills of students participating in cloud-based constructivism. The population in the study consisted of 60 undergraduates of Phetchaburi Rajabhat University, acquired using simple random sampling. The undergraduates were enrolled in a course for designing and developing games for education and computer-assisted mathematics instruction. The independent variable was the format of the constructivism and connectivism learning model for undergraduates involving cloud technology to promote innovative education. The dependent variable was the result of innovative education. The research findings were as follows: (1) Participants' overall satisfaction with the model was at the highest level ([x-bar] = 4.53, S.D. = 0.60). (2) Out of the 60 students, 21 created innovative educational workpieces. Four workpieces were accepted for academic publication, showing that this model allowed learners to analyze media, promote innovative education, and apply educational innovations.

COVID-19 coronavirus pandemic has affected higher education institutions all over the world, causing face-to-face education to cease. Schools have tried to carry out educational activities through online teaching either by using on premise infrastructure or by leasing cloud based online platforms. Although these platforms are convenient, most of them do not meet all the requirements for higher education institutions. Not knowing where the personal data is stored in a public cloud creates another problem for some countries according to laws. In this study, a new online learning platform has been developed for higher education institutions to solve these problems using state-of-the-art cloud technologies. The new system enables implementation of individual curricula of many higher education institutions in one software system, and it can be taken into service quickly in emergencies. It expands dynamically by activating a large number of streaming servers to meet the demand. The new system provides easy to use-learn interfaces, offers an economical solution for e-learning by sharing the resources, and compliant with the law on protection of personal data. The new platform was in service at 12 universities in Turkiye during the fall 2020, and its performance was measured with surveys at various levels.

Micro-credentials can provide easily accessible and transparent evidence of skills or knowledge that have been certified by an authority, based on small units of learning. The recognition and transfer of credits is becoming essential, as an increasing number of students are studying at different institutions, often at the same time, online or in traditional settings. "Blockchain is a type of database that stores data in an "open, peer-to-peer (P2P) network that favors communal functionality in lieu of a centralized controlling entity" (Columbia Engineering Bootcamps, 2021, para 5). The development of blockchain (https://theconversation.com/demystifying-the-blockchain-a-basic-user-guide-60226) holds promise of becoming a useful facilitator for supporting the storage and dissemination of micro-credentials on a global scale. Besides providing effective data security and privacy, blockchain can also facilitate maintaining and disseminating credentials, while ensuring that access is readily available for students under their control. Because of its immutability, blockchain can be used to confidently attest to students' accomplishments and is therefore particularly appropriate for micro-credentials.

Data repositories currently constitute essential programs within institutions. In fact, universities are the primary institutions that promote the creation, management and storage for the safekeeping of a variety of documents, data and/or projects. This work is carried out within the framework of institutional need and the application of knowledge by the students and professors in the software degree program at a university in Ecuador. This project centers on a web application that makes it possible to manage, upload and download resources. This initial version focuses on the resources related to academic projects, data sets and algorithms. The scalability characteristics have been carefully introduced to ensure a progressive evolution of other types of resources and functionalities, in accordance with educational needs. Several aspects of the web interfaces are based on the characteristics of other existing repositories, and a series of tests related to functionality have been conducted in order to move beyond the introductory stage of use, to begin with, by the university community. This project is carried out according to a conception based on contributions, in which the agents, in principle, are members of the institution. The intensive and collaborative use of this utility will contribute to the growth of a data culture within the institution. Furthermore, the collection and organization of data for the purposes of study and research by the different university degree programs makes it possible to analyze and contrast them from different perspectives.

This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and deepen their understanding of the topics under study. This is attempted through individual student engagement in suitably-designed activities and relative feedback. As recorded in previous research, students' difficulties feedback on the material development. The third stage of the educational setting exploits social interaction to help students reorganize their knowledge of the concepts under study. The web-based application of the proposed educational setting indicated improvement in first-year Computer Science (CS) students' understanding of fundamental Computer Architecture concepts and progress in students' linking-inference skills. These results encourage integration in the instructional process of interventions designed according to the proposed setting in order to support and enhance students' understanding of troublesome concepts and their interrelations.

Many funding agencies require researchers to include a data management plan with their grant applications explaining how they intend to make the data generated from the research publicly accessible. University administration and campus service providers could potentially leverage the content of data management plans to facilitate compliance and reduce the burden on researchers. A case study at the University of Michigan demonstrates the promise of using data management plans as a communications and information sharing tool and the barriers in doing so. I apply the results of a content analysis to develop a series of recommendations to funding agencies, university administration, and campus service providers to improve the utility of data management plans in supporting data sharing and compliance.

Cloud computing has grown to become an integral part of information technology (IT) infrastructure. Organizations are increasingly utilizing cloud services to deliver a variety of applications and services in conjunction with their on-premise data center environments. As such, students pursuing careers in information systems and computing need to add cloud concepts and skills to their "tool belts" to meet the demands of employers. Amazon Web Services (AWS) has the largest market share of cloud providers. This paper reports on a systems administration course at a private liberal arts institution that was re-tooled to integrate cloud computing fundamentals using AWS as a platform for hands-on labs. Cloud computing concepts paralleled content for the AWS Cloud Practitioner Certification Exam, which students took at the end of the course. The course provided necessary skills for students in their development as information systems (IS) professionals, as well as important lessons for IS and computing educators as they consider how to incorporate cloud computing skills into their curricula.

This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of recall and accuracy of the proposed method in this study is 89.9%, which is 26.6% higher than LG and 9.7% higher than Grammarly. In the performance test of scoring the entire essay, the proportion of error between the proposed method and manual evaluation is 87.29%, with a lower overall mean square error of only 3.08 and a shorter average running time of only 22.69 seconds. The method proposed in this study has a high accuracy and strong applicability in the evaluation of English compositions for middle school students, providing a new approach for teaching English writing for middle school students.

As technology continues to evolve, the process of English translation has become easier. A technology called widget, which is used in modern research, provides an efficient graphical user interface for the interaction between the user and the application. This paper compares the newly proposed wireless widget system with existing models of English translation strategies for internet of things (IoT), cloud computing (CC), artificial intelligence and edge computing (AI+EC), and pure internet concepts. These models were compared on metrics such as accuracy, search completion rate, and throughput. The results show that the proposed system outperforms the existing models with an accuracy rate of 98%, a search completion rate of 96%, and a maximum throughput of 96%. The model shows high performance advantages and can effectively improve the efficiency of translation work.

In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.

The COVID-19 outbreak has impacted almost every facet of life, including education. Technology has almost entirely replaced conventional face-to-face teaching and learning environment. This public health calamity has hastened the digitisation of education, which was previously only provided without a repellent component. Cloud computing is widely used in education, notably higher education, to provide online access and share teaching resources, educational information, notes, lectures, and academic assessments. But, while observing technology's grandeur, are people prepared to accept an avalanche of information resources and open online access via cloud-based services? Thus, this study investigated users' readiness and acceptability of cloud computing in Higher Education Institutions (HEIs). Using the Structural Equation Modelling analysis, this study surveyed 470 individuals from Malaysian HEIs using the Technology Acceptance Model and Technology Readiness Index models. Perceived Ease of Use and Perceived Usefulness is positively relevant in understanding why a user chooses cloud computing. The environment of the learning process and the security factors are positive predictors of cloud computing use intention. Optimism and Innovativeness have been demonstrated to impact technology acceptance factors substantially. On the other hand, Discomfort and Insecurity do not affect technology acceptance, except for Insecurity, which negatively affects Perceived Usefulness. This research adds to the growing knowledge about technology readiness and acceptance, especially after a pandemic hits the world.

Information technology (IT) plays an increasingly significant role in today's world. The COVID-19 pandemic has increased that reliance. Employers in all industries are struggling with considerable shortages of skilled IT workers and are seeking innovative alternatives to meet these needs. Digital badging and micro-credentials have emerged as an alternative system to validate skills. The issuing of digital badges has spanned across a wide spectrum of settings and purposes. However, there is currently less application of digital badges in graduate-level programs to link to important academic or subject-matter related achievements and higher-level competencies. Reskilling and upskilling existing employees need a more practical and sustainable approach and often do not require completion of an entire IT master's degree. To align with such demand, this study aims to demonstrate how a digital badging system can be used to validate stackable certificates for micro-credentials in a graduate-level program. The paper starts with a background introduction of the current IT employment landscape. The next two sections provide an overview of micro-credentials in workforce development and higher education today. This is followed by a section on our conceptual framework used to determine the potential value of digital badging to our graduate programs. The next section focuses on the case study. The last sections conclude with the lessons learned and the future research directions.

Dramatic change in learning environments during the COVID-19 pandemic highlighted the significance of virtual learning and led to more interactive learning environments. Quick adoption of online and social interactive learning in many universities around the world raised challenges and emphasized the importance of investigating different learning environments. This paper investigates the accelerated transition in education from traditional learning environments through online learning environments to social innovative learning environments, and the latest trends of this change. The stages of transition were divided into three parts: before, during, and after the COVID-19 pandemic, which was the reason for this accelerated change. Features and characteristics of each stage of transition were analyzed and discussed, based on the following factors: edu-space and classrooms, the learning and teaching process, curricular choices, information and communication technology applications, students' and educators' perceptions, edu-approaches, and knowledge transformation. A systematic review approach was used to investigate learning environments based on the literature reviews of previous publications. Analysis of these features revealed the main characteristics and differences in each stage. New trends in online learning environments and social innovative learning environments were identified including cloud platforms, massive open online courses, digital learning management systems, open educational resources, open educational practices, m-learning, and social network applications. Finally, this study makes two recommendations: 1) the adoption of online learning environments and social innovative learning environment applications to continue the e-learning process during the pandemic, and 2) the enhanced usage of online learning environments and social innovative learning environment applications in the future by educational institutions and governments.

This research developed a model of steam learning with digital fabrication laboratory on cloud computing model to enhance creative product. The objectives of the study were: 1) To create the model, and 2) To evaluate a model. This research method was two parts. The first part about the design's model had four subs: 1) to study and synthesize the relevant documents in this research such as steam, digital fabrication laboratory, cloud and creative product. 2) to develop a process in the model, 3) to present the process model with experts to get it approved to be able to hold in-depth interviews, and 4) to create the tools for assessing the model. The second part is referred to as model evaluation. The sample group has five experts who consist of Information Technology and Instructional Design. Then, this research uses means and standard deviations to analyze data. The process's model has nine procedures in three components. The experts assed of the model overall found were a good level that the model could help learners in building creativity skills.

It has been suggested that individuals' technology acceptance are affected by personality traits. This paper aims to emphasise the importance of personality traits beyond BIG 5 on the acceptance and individual usage of Cloud Computing Systems (CCSs) with Perceived Ease of Use (PEU) and Perceived Usefulness (PU). Based on this, a quantitative cross-sectional survey research was designed, and 722 students studying at Sakarya University, Pedagogical Training Certification Program in the academic year of 2016-2017 were involved to the study. A path analysis which is a structural equation model was performed to examine the direct and indirect effects of the variables that are theoretically interrelated in the study. According to the results, while Extroversion (EXT), Agreeableness (AGR), Conscientiousness (CONS), and OE are not predictors of PEU and PU components, Nervousness (NEUR), is a significant predictor of PEU in the model. In addition to this, behavioural intention (BI) is significantly predicted by both PU and PEU, and PEU is a significant predictor of PU and BI on the individual usage of CCSs.

In the age of COVID-19, traditional teaching techniques are under scrutiny. Most concepts and labs in the area of information technology are intended to be taught face-to-face in labs using clusters and networking infrastructure. Simulation software's such as uCertify, Pearson online, etc.., are good alternative, but are not always a viable solution. Simulation software is used primarily to understand, remember, and apply the concepts rather than analyze evaluate and create the content. Due to unforeseen conditions during March 2020, educational institutions were required to shut down. In the middle of the semester, instructors had to determine how to complete the labs and final projects which are crucial to accomplishing the intended learning outcomes of their courses. A chosen alternative was to use Amazon AWS as a cloud platform to host the labs and projects. It was initially a challenge as students had not had the opportunity to learn how to work with AWS in advance. Training sessions were provided to help them understand how to deploy and connect virtual servers in AWS to build a virtual private cloud. Prior to the pandemic, students developed and deployed their labs and projects on a departmental cluster which was on-premise at the university. With AWS, it was challenging to design an architecture to host 19 services offered as a part of the project requirements for an organization network. This paper presents the scope of this project; the intended outcomes of the project, how students were able to implement the project requirements in the AWS environment; the intended learning outcomes; and the results of student surveys to assess the learning outcome of using AWS and traditional cluster.

This paper seeks to determine factors affecting the students' intention to use and actual use of the cloud storage systems such as Google Drive, iCloud and Microsoft One, etc. using the Unified Theory of Acceptance and Use of Technology. The respondents are students of leading private universities in the Philippines and the data were analyzed using Partial Lease Square -- Structural Equation Model (PLS-SEM). PLS-SEM was conducted using SMART PLS software and the results showed that performance expectancy and social influence positively and significantly affects the intention to use cloud storage systems. Hence, the University should maintain its subscription of a cloud storage system and promote maximizing its use because large members of the academic community, the students, intend to use the cloud storage system as they perceive an increase in productivity of their schoolwork and due to increase by the community as well.

This is a comparative education study that aims to compare the digital documentation systems used in the preschool education programs and institutions in Turkey, Germany and Spain and to reveal the similarities and differences between these systems. The study was planned as a qualitative research in terms of its descriptive aspect, and as a comparative educational study in terms of its content and method. Comparative education helps us to understand how education systems are shaped by the wealth, ideology, social-cultural characteristics of the country, and the effects of globalization on educational policies and practices in different regions and countries. The study aims to examine the existing data through document analysis and to compare and better understand preschool education conditions by making in-depth observations in order to compare digital documentation systems by focusing on the dimension of observation. The study group consists of the digital documentation systems used in Turkey, Germany and Spain. The EBA system developed by the Ministry of Education in Turkey, KITALINO digital documentation used in Germany and Transparent Classroom application used in Spain were examined in the study. In the analysis of the data, digital documentation systems were shown in tables in line with the determined criteria and comparisons were made. Based on these comparisons, comments and suggestions were made. It was observed in accordance with the results of the comparative education study that there are various applications in the early childhood education in Turkey, Germany and Spain in terms of digital documentation.

This study, is aimed at 1) synthesizing the conceptual framework of the problem-based learning process with a cloud learning environment (PBL-CLE process), 2) developing the PBL-CLE process, and 3) studying the result of the development of the PBL-CLE process. The research instruments include 1) the conceptual framework, 2) the PBL-CLE process to enhance analysis thinking, 3) learning achievement, and 4) analysis thinking assessment form. The statistics used in this research are 1) mean, 2) standard deviation, and 3) t-test. The findings reveal that 1) the PBL-CLE process consists of four components: (1) Input includes learning objectives, content, learners, teacher and cloud learning, (2) PBL-CLE process includes problem posing, problem analysis, problem understanding, research procedure, knowledge synthesis, conclusion and evaluation, presentation, and assignment assessment, (3) Output includes analysis thinking, learning achievement, and satisfaction, and (4) Feedback includes analysis thinking and learning achievement; 2) The result of suitability assessment of the PBL-CLE process to enhance analysis thinking is at the highest level; 3) The students' learning achievement after the implementation of the PBL-CLE process to enhance analysis thinking is significantly higher than that before the implementation at a 0.01 level of statistical significance; and 4) The result of analysis thinking assessment after the learning process through the PBL-CLE process to enhance analysis thinking is at the very good level.

The new era of the 4IR requires changes in teachers' initial education and in their professional advancement. Serbia is a developing country whose institutions of education are technologically underdeveloped and whose expansion in the field of digitalization is still insufficient to be on par with the developed western countries. The authors' research goal was to determine whether potential improvement in teachers' digital competences has occurred. The general hypothesis postulated implied a low level of the use of digital tools in schools on the territory of Serbia. The descriptive method and scaling technique were used. The research results show that science and technology teachers apply digital tools while teaching more frequently than the teachers of social sciences and humanities. The research implies that a strategic approach to Serbian teachers' digital education is necessary even during their undergraduate studies by introducing digital technology courses and subjects in the conventional academic curricula.

This paper presents findings from interviews with US Research Integrity Officers (RIOs) on their overall responsibilities as well as perspectives on Data Management Plans (DMPs). DMPs are formal documents describing the roles and activities for managing data during and after research. DMPs are now a required research criterion by many funding agencies globally. A purposive sample of Research Integrity Officers (RIOs) from the top ten US private and public universities were recruited for interviews using an open-ended questionnaire related to their job duties and perspectives on data management plan implementation and evaluation. Responses from 12 participants were transcribed, anonymized, and coded in NVivo. RIO backgrounds, duties, and perspectives varied. The mode number of staff/ faculty people dedicated to the RIO role at these institutions was a halftime appointment. All RIOs had some responsibilities related to Authorship, Publication, and Inventorship and Integrity and Information with 11 participants also responsible for offering some Responsible Conduct of Research (RCR) training. Most RIOs assumed that Principle Investigators are responsible for DMP compliance during sponsored projects as well as the long-term data management after a project ends. None of the twelve participants has received any Research Data Management training. Given the sea change in research practices, RIOs should have more training as data-intensive research emerges and DMPs become commonplace.

The role of gamification in Australian higher educational learning has gained increasing currency in recent years, with many proponents promoting its usefulness for improving the university student experience by increasing progression and lowering attrition, particularly among first year students (Charles, Charles, McNeill, Bustard, & Black, 2011). However, some students express reservations that the inherently competitive nature of some gamified learning activities negatively impact their learning experience, especially when compared to classic instructional methods (Charles et al., 2011). This discussion and instructional paper undertakes a review of the gamification literature within the Australian higher education context, concurrently exploring what it means and how to use gamification to enhance student learning. The paper provides a short biographic summary of the positive impact selected popular gamified activities has had on improving student engagement, participation and retention in tertiary settings.