Increasing Consonance and Resonance in Agile Teaching Methodologies

In a cooperative environment technicalexcellence and high quality students’ artifacts is whatteachers strive to achieve while educating computerscience students and facing the challenges of this newcentury. When agile techniques and accelerators andinjected in the process in a cooperative environment theconsonance and resonance in groups increases. Thisspeeds up the learning process and the quality of thematerial produced by the students improves. Twoobservational studies at Kent State University at Starkand Ohio University are described in this paper. Thestudies observe the usefulness of using agile teachingtechniques and analyze the quality of deliverablesproduced. A post questionnaire gathered students’feedback. The observation shows that cooperativelearning produces better results than individuallearning however consonance and resonance must bereached before the speed is achieved

A Formalism For PLAN – A Big Data Personal Learning Assistant For University Students

Big Data-based methods of learning analytics are increasingly relied on by institutions of higher learning in order to increase student retention by identifying at risk students who are in need of an intervention to allow them to continue on in their educational endeavors. It is well known that e-Learning students are even more at risk of failing out of university than are traditional students, so Big Data learning analytics are even more appropriate in this context. In this paper, we present our approach to this problem. We wish to place control of a student’s learning process in his own hands, rather than that of the learning institution in order to decouple the student from the institution since the goals and motivations of these two may not be completely aligned. In this way, we empower the student by giving him control of the personal learning system which employs Big Data techniques to generate recommendations on how to reach a set of learner-specific learning goals. We present the formalism which underlies our system, the architecture which implements the system, scenarios for system use, a survey of related works and thoughts on how the system will be implemented in a prototype in the future

An Evaluation of Security in Blockchain-based Sharing of Student Records in Higher Education

Blockchain has recently taken off as a disruptive technology, from its initial use in cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transactions. This spread of the technology to new application areas has been driven by the development of smart contracts – blockchain-based protocols which can automatically enforce a contract by executing code based on the logic expressed in the contract. One exciting area for blockchain is higher education. Students in higher education are ever more mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students as well as potential employers who need to examine and evaluate student credentials. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. Blockchain-based storage of academic credentials is being widely studied due to the advantages it can bring. As with any network-based system, blockchain comes with a number of security and privacy concerns. Blockchain needs to meet several security-related requirements to be widely accepted: decentralization; confidentiality; integrity; transparency; and immutability. Researchers have been busy devising schemes to ensure that such requirements can be met in blockchain-based systems. Several types of blockchain-specific attacks have been identified: 51% attacks; malicious contracts; spam attacks; mining pools; targeted DDoS attacks; and others. Real-world attacks on blockchain-based systems have been seen on cryptocurrency sites. In this paper, we will evaluate the specific privacy and security concerns for blockchain-based systems used for academic credentials as well as suggested solutions. We also examine the issues for academic credentials which are stored “off-chain” in such systems (as is often the case). In this case, a Distributed File System (DFS) implemented with a peer-to-peer (P2P) architecture is often the choice for the storage of the academic credentials since it matches the decentralized nature of blockchain. Blockchain then contributes much to the usefulness of such a DFS, making it in turn a good match for a P2P DFS such as IPFS

An experience of collaboration using a PaaS for the smarter university model

In this paper we continue our previous research on the development of the current model of higher education, which pointed out that the labor market is looking for people with competencies and skills reflecting a T-shape model. As a consequence, universities should include a wider mix of disciplines in the curricula of their courses. Hence, to overcome existing criticisms and to provide some suggestions on how to enhance universities' performances, we thought of education as a process with inputs, outputs, and relevant dependencies. We called such a university a “smarter university” in which knowledge is a common heritage of teachers and students. In our research the smarter university model is based on a smart-city-like model, due to the fact that next generation networks and relevant services are going to be more and more integrated with existing infrastructure and information management systems. Thus, it is mandatory that smart solutions are the most prominent assets of modern university environments to improve the effectiveness of higher education. In this paper, we report the experimental results from a specific case study of collaboration between industry and university, which could be used as a refer- ence for the definition of patterns to be applied in the redesign of the current education systems, even though the experiment refers to a technological application scenario

Experiences In Collaborative Learning

Cooperative learning is a paradigm of collaboration aimed to reach a common goal. The trend of using social networks and social media to deliver and exchange knowledge leads us to believe that collaboration skills must be strongly promoted to empower users to learn with and from each other to support the educational challenges of this century. In this paper we discuss the primary needs of a modern educational system and we present the ETCplus project, a model of cooperation that has as its primary focus students’ cooperation in an academic environment. Two distinct experiments involving cooperative learning with two international universities are discussed. The first describes a system in an environment that is left to evolve autonomously. The second presents a system in a controlled environment that uses an accelerator to speed the learning process. The process of collaboration was built on a shared platform. Students’ feedback shows that cooperative learning produces better results when consonance and resonance are reached. The paper discusses the pros and cons of the ETCplus project

Incarcerated hernia in a trocar site following laparoscopic gastric bypass

This paper reports a case of small bowel occlusion due to the herniation of an ileal ansa at the site of the insertion of a 12-mm trocar. A 28-year-old obese female patient underwent laparoscopic surgery for gastric bypass, the skin incisions of the trocar insertion sites were closed with absorbable sutures. Small bowel occlusion occurred on post-operative day 6 and the patient again underwent laparoscopic surgery. Laparoscopic exploration confirmed the suspected presence of the incarcerated hernia of an ileal ansa at the site of the trocar insertion which was freed without any need for bowel resection. The fascial defect was successfully closed under direct vision with the use of a special system of fascial sutures

The rapid spread of SARS-COV-2 Omicron variant in Italy reflected early through wastewater surveillance

The SARS-CoV-2 Omicron variant emerged in South Africa in November 2021, and has later been identified worldwide, raising serious concerns. A real-time RT-PCR assay was designed for the rapid screening of the Omicron variant, targeting characteristic mutations of the spike gene. The assay was used to test 737 sewage samples collected throughout Italy (19/21 Regions) between 11 November and 25 December 2021, with the aim of assessing the spread of the Omicron variant in the country. Positive samples were also tested with a real-time RT-PCR developed by the European Commission, Joint Research Centre (JRC), and through nested RT-PCR followed by Sanger sequencing. Overall, 115 samples tested positive for Omicron SARS-CoV-2 variant. The first occurrence was detected on 7 December, in Veneto, North Italy. Later on, the variant spread extremely fast in three weeks, with prevalence of positive wastewater samples rising from 1.0% (1/104 samples) in the week 5-11 December, to 17.5% (25/143 samples) in the week 12-18, to 65.9% (89/135 samples) in the week 19-25, in line with the increase in cases of infection with the Omicron variant observed during December in Italy. Similarly, the number of Regions/Autonomous Provinces in which the variant was detected increased from one in the first week, to 11 in the second, and to 17 in the last one. The presence of the Omicron variant was confirmed by the JRC real-time RT-PCR in 79.1% (91/115) of the positive samples, and by Sanger sequencing in 66% (64/97) of PCR amplicons. In conclusion, we designed an RT-qPCR assay capable to detect the Omicron variant, which can be successfully used for the purpose of wastewater-based epidemiology. We also described the history of the introduction and diffusion of the Omicron variant in the Italian population and territory, confirming the effectiveness of sewage monitoring as a powerful surveillance tool

Blockchain-Based Transcripts for Mobile Higher-Education

Blockchain has emerged as a transformative technology, from its beginning as the basis of cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transaction. This spread of the technology to new application areas has been driven by the development of smart contracts – blockchain-based protocols which can automatically enforce a contract. One area where the types of problems being considered for blockchain exists is higher education. Students in higher education are increasingly mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. In this paper, we review the use of blockchain in higher education and experimental implementations of a blockchain-based university transcript system in order to empower students and better fit today’s ever more agile society and then describe some experimental results in using blockchain for higher education transcripts

A Formalism For PLAN – A Big Data Personal Learning Assistant For University Students

Big Data-based methods of learning analytics are increasingly relied on by institutions of higher learning in order to increase student retention by identifying at risk students who are in need of an intervention to allow them to continue on in their educational endeavors. It is well known that e-Learning students are even more at risk of failing out of university than are traditional students, so Big Data learning analytics are even more appropriate in this context. In this paper, we present our approach to this problem. We wish to place control of a student’s learning process in his own hands, rather than that of the learning institution in order to decouple the student from the institution since the goals and motivations of these two may not be completely aligned. In this way, we empower the student by giving him control of the personal learning system which employs Big Data techniques to generate recommendations on how to reach a set of learner-specific learning goals. We present the formalism which underlies our system, the architecture which implements the system, scenarios for system use, a survey of related works and thoughts on how the system will be implemented in a prototype in the future

From Multimedia Micro-University to Macro University and beyond

For this special issue of the Journal of visual languages and computing in honor of Prof. Shi-Kuo Change we review Prof. Chang\u27s research contributions to the field of education. Always visionary and inspirational, these works reflect Prof. Chang\u27s student-centered approach and his interest in building relationships among international educators in order to bring the benefits of such collaborations among educators to the students while keeping in mind the motto small is beautiful