J. Karthikeyan

Bio: J. Karthikeyan is an academic researcher from VIT University. The author has contributed to research in topics: Raw data & Collaborative learning. The author has an hindex of 2, co-authored 4 publications receiving 6 citations.

A Survey on effective similarity Search Models and Techniques for Big data Processing in Healthcare System

Abstract: In traditional DBMS system handled well structured and no two elements occur twice. But more than one occurrence is quite natural in big data processing. Moreover last decades many characteristics (like volume, variety, value) coupled with the data, makes the searching complex for the traditional database system. Effective way of storing the data makes it easier way to processes the data. The main objective of this paper is to find similarity over large data that needs effective and efficient processing of raw data within a satisfactory response time.

Analysis of Diverse Open Source Digital Tools and Learning Management System Users in Academics

Abstract: Digital footprints in the teaching–learning process will enrich learning which in turn will nurture education in a fast-growing economy like India. Technology in the form of digital tools, Learning Management System (LMS) and Learning Object Repository (LOR) will make education more informative and interesting that will realize aptitude among the young generation. This flipped classroom model being very successful among the G8 countries is emerging in countries that are enthusiastic for a revolution in education. The study revealed how technology is integrated effectively into everyday classroom teaching and how it is well-received by the learners. It also exposed various open sources that help teachers and students.

Analysing Microsoft Teams as an Effective Online Collaborative Network Model Among Teaching and Learning Communities

Abstract: AbstractThe importance of technology to network teachers and learners in all levels of education across the globe is being realized due to the impact of COVID-19. Technologies that were used for business conferences earlier reformed themselves and emerged as the solution to bridge institutions with its students. Enterprises like Zoom, Google, Microsoft, and Cisco Webex unlocked their basic features for free to the education sector during this pandemic which is a good sign of humanity. Teachers are being exposed to LMS and other integrating technologies for the first time to stabilize the situation, thereby ensuring continuous learning. An empirical study was conducted among teachers in higher education institutions to understand the effectiveness of Microsoft Teams in helping them to transfer the knowledge to their learners without any halt. The questionnaire was designed to understand how the tool serves the purpose of teaching under various factors. The data was collected from teachers currently employed in higher education institutions across India through Google Forms. The data that was analysed using Excel revealed that MS Teams is found very convenient among teachers to build a strong network with their students in delivering lectures, discussions, assessments, off-class assistance, and integrating other features. It was also found user-friendly and competent when compared to other similar networking tools.KeywordsOnline network toolsMicrosoft TeamsTeaching toolsCommunication technology

Technology-Enabled Digital Language Learning Using a Flipped Innovation Model

Abstract: The English Language has always played an important role in the teaching and learning process of academics and research across the globe. Hence, young learners of the twenty-first century are expected to possess a good level of proficiency in English. The aim of this study is to effectively use digital language learning platforms to upskill entry-level tertiary learners by adopting the newly proposed flipped innovation [FINN] model. The objective is to influence learners to get actively involved in the learning process, adopt outcome-based learning strategies and experience the realization of their goals by integrating modern tools in language learning. This learner-centric technology-enabled skills enhancement initiative will provide learners with a flexible, collaborative learning environment that will also lead them to record new learning strategies and find plausible solutions that will guide them to overcome issues related to the skills development process.

Big Data Analysis on Effective Communication Skills and Personal Grooming—A Key to Managers and Supervisors in Business Enterprises and Retail Outlets in Vellore and Katpadi

Abstract: Communication skills and personal grooming are interwoven and considered to be predominant among other managerial skills. These skills add flavour to the in-depth business knowledge of an entrepreneur to a salesperson involved in any business enterprises. To a person in marketing, it is very much in need not only to please its customers but also to take the message of the company and products to the market. A survey to learn its importance directly from business outlets and enterprises will definitely help young learners to understand its nature and prominence from the root. This will mould them to be a better tycoon in near future. Their findings may help existing business to nurture by modifying their set back and to train their future employees with high standards that please the market.

A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems

Abstract: The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.,A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.,From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.,The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.,To the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

Configurable In-Database Similarity Search of Electronic Medical Records.

Abstract: With the development of technology, Electronic Medical Re-cords (EMRs) are widely used for medical analysis through methods such as similarity search. Typical EMRs contain attributes of different data types including string, enumeration and numeric data, and are commonly stored in a database. However, many EMR similarity search algorithms neither separate different data types nor conduct search directly in the database. In addition, for researchers and doctors who need similarity search but do not have strong programming background, a user-friendly interface is missing. Therefore, we design a tool “SIR” to solve the aforementioned problems. SIR can conduct configurable similarity search in high dimensions (within 0.0931 and 0.7824 s respectively using its basic and advanced version), can be embedded directly in the database, and has an intuitive interface.

Quasi-synchronous discussions: A proposal to measure the effect of Teams on cooperation, belonging, emotion and interactions

Abstract: As students begin to reconnect after the COVID-19 pandemic, changing student expectations around online engagement seem to be suggesting that new approaches should be adopted. Recent research has found that students who engaged with each other in a discussion task in a synchronous mode were more willing to work together, felt more positive and more like they belonged than students in an asynchronous mode. We wish to extend these findings by investigating whether Microsoft Teams promotes a quasi-synchronous mode of discussion and has a similar beneficial effect. The proposed study adopts a mixed-methods approach of quasi-experimental design to address this question. Students will be randomly assigned to groups of five and provided with online forums (control) then re-form and use Teams (experimental) for a discussion task. Data will be collected through survey, digital artefacts and interviews. We aim to contribute robust, empirical evidence on the effects of Teams on student engagement, which will be of interest to educational leaders and teachers.

Perspective Chapter: The Learning Management System of 2028 and How we Start Planning for this Now

Abstract: It has been said for years that, in the near future the Learning Management System (LMS) will become a thing of the past. Some suggest this should already be the case, but it has not been possible to break our institutional dependence on this technology. In the meantime, institutions have developed sophisticated networks of tools, largely built off the back of LTIs and xAPIs to seamlessly make the LMS a pervasive convenor of learning. These tools include media streaming, virtual classrooms, collaboration tools, plagiarism checking, ePortfolio, voice interaction, peer-review/learning, brainstorming, H5Ps and the list goes on. All that is left for the traditional LMS to do is to mediate these tools, house and collate assessment and scaffold the different learning scenarios. Admittedly it also helps the institution link to other organizational tools such as student management and curriculum management systems. This chapter looks at the future implications and examines a range of views from technology enhanced learning professionals from across the sector. The views being canvased may provide institutions with a framework to help them consider their future directions and how the evolving technology landscape may see newer ways of using emerging technologies to better support or student cohorts.

A Study On Online Language Learning Environment For College Students In Tamil Nadu

Abstract: Online learning environment and strategies provide ample and valid opportunities to explore, discover and perform with the wonders of technology. This paper surveys and analyses the online language learning environment of college students in Tamil Nadu. The study examines the specific advantages of the learning environment and the instructional methods employed in the virtual learning environment. The study is undertaken with college students from different districts of Tamil Nadu who underwent a pre-assessment and a post assessment before and after they participated in the structured online English language classes constituting the research. The study puts forward the use of technology, different modern teaching theories and practises, a deviation from normal teaching, innovative online teaching methods of English language skills, a difference of learning scenario, all intended to benefit students with different language levels and comprehensive capacities, and most significantly to balance and tone down lapses, if any, in online learning environment. The pre and post assessments of the participant students are statistically presented herewith which depicts the benefits as well as barriers of online language learning environment of college students in Tamil Nadu.