scholarly journals Can Multimedia Tools Promote Big Data Learning and Knowledge in a Diverse Undergraduate Student Population?

2018 ◽  
Vol 16 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Sinjini Mitra ◽  
Archana J. McEligot
Keyword(s):  
Big Data ◽  
Undergraduate Student ◽  
Teaching And Learning ◽  
Data Science ◽  
Learning Experience ◽  
Student Population ◽  
Multimedia Tools ◽  
Regression Methods ◽  
Multimedia Tool ◽  
On Line

Background and Purpose: Multimedia tools are an integral part of teaching and learning in today’s technology-driven world. The present study explored the role of a newly-developed video introducing the emerging field of big data to a diverse undergraduate student population. Particularly, we investigated whether introduction of a multimedia tool would influence students’ self-perceived knowledge related to various big data concepts and future interest in pursuing the field, and what factors influence these. Methods: Students (n = 331) completed a survey on-line after viewing the video, consisting of Likerttype and quantitative questions about students’ learning experience, future interest in big data, and background. The dataset was analyzed via ANOVA and multiple linear regression methods. Results: Gender, major, and intended degree were significantly associated with students’ learning experience and future interest in big data. Moreover, students who had no prior exposure to big data reported a better learning experience, although they also reported less likelihood to pursue it in the future. Conclusion: Multimedia tools may serve as an effective learning tool in introducing and creating interest in a diverse group of students related to introductory big data science concepts. Both similarities and differences were observed regarding such behaviors among different student sub-groups.

CSCL – a tool to motivate foreign language learners: The Finnish application

ReCALL ◽  
2003 ◽  
Vol 15 (1) ◽  
pp. 51-67 ◽  
Author(s):  
TUIJA LEHTONEN ◽  
SIRPA TUOMAINEN
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Learning Community ◽  
Learning Strategies ◽  
Teaching And Learning ◽  
Learning Experience ◽  
Target Language ◽  
Computer Supported Collaborative Learning ◽  
On Line ◽  
Language Students

This article discusses the applications of the theory of Computer Supported Collaborative Learning (CSCL) to teaching and learning a foreign language, in this case, one of the ‘Less Commonly Taught Languages’, Finnish. The ‘Virtually Finnish’ project was based on the idea of creating a larger, virtual Finnish learning community among the second-year Finnish language students in five US universities during the fall semester, 2001. CSCL was chosen as a base, as its principal goal is to aid the learners in sharing and distributing their knowledge to the whole learning community. In addition to discussing the set up and the content of the project, the students’ feedback about their language learning experience in the CSCL-environment will be examined. Furthermore, the conclusions, and the realization of our goals from the perspective of CSCL, as well as the students’ feedback on the collaborative process will be discussed. Based on the knowledge gained from limited feedback, a discussion of tools to aid language students in becoming a part of motivating and authentic collaboration projects on-line will be discussed. Looking at the students’ work on-line, as well as the feedback received, it was realized that certain skills crucial for communication have been neglected in teaching. Furthermore, it was realized that teaching on-line learning strategies in addition to teaching the target language is crucial. Future plans, and ideas for research in the area of CSCL will be shared in anticipation of inspiring others to undertake further research.

scholarly journals Diversity Research in an Engineering Technology Program: Promising Practices for Diversity Research Initiatives in Post-secondary Education

2018 ◽  
Author(s):  
Jennifer Long
Keyword(s):  
Teaching And Learning ◽  
Learning Experience ◽  
Gender Disparity ◽  
Student Population ◽  
Student Experiences ◽  
Student Body ◽  
Canadian Universities ◽  
The Government ◽  
Demographic Surveys ◽  
Diversity Research

While efforts are underway to solve gender disparity in engineering, there tends to be a focus on gender at the expense of other diversity considerations. Few Canadian universities collect data about their racialized student population despite human rights advocates and the government of Ontario endorsing such an approach to uncover inequality and better understand the needs of Canada’s growing diverse student population. Of those universities that collect demographic information on their student body, few studies dig deep enough to understand how students’ identities affect their learning experience. The proposed study goes further to understand faculty, staff and student experiences around teaching and learning. This study views educational experiences holistically (within and outside the classroom) in order to understand how participants face discrimination or exclusion. In this paper, the authors provide an overview of demographic surveys at Canadian universities and describe McMaster University’s recent work in this area. The authors then provide a study overview and our intended next steps. It is the hope that this research, and affiliated workshops, will help faculty and staff better understand the lived experiences of discrimination that our students face, and may help illuminate bias and barriers within our educational offerings that go unnoticed

scholarly journals ENGLISH TRAINEE TEACHERS’ PERSPECTIVE ON SYNCHRONOUS AND ASYNCHRONOUS LANGUAGE TEACHING

2021 ◽  
pp. 88-97
Author(s):  
N. Tuchyna ◽  
V. Perlova ◽  
O. Chukhno
Keyword(s):  
Distance Education ◽  
Language Learning ◽  
Teaching And Learning ◽  
Learning Experience ◽  
Language Education ◽  
Distance Teaching ◽  
Immediate Feedback ◽  
Trainee Teachers ◽  
Teacher Student ◽  
On Line

The temporary introduction of distance education at universities owing to the pandemic leads to the necessity to develop innovative methods of on-line teaching and learning that could become an adequate alternative of on-site teacher-student interaction and improve students’ professional skills. The background of the research states that in tertiary language education whose main aim is to develop students’ professional communicative competence it is of paramount importance to combine synchronous and asynchronous modes of interaction with the former creating an opportunity for live communication and immediate feedback and the latter developing students’ autonomy and being more flexible and convenient. As the two modes have different advantages the indices of their proper balance are still under discussion. The present study aims to explore English trainee teachers' ability to reflect on the ways of on-line language learning and to find out their attitude towards synchronous/asynchronous teaching. The results of the questionnaire completed by 168 students of the Faculty of Foreign Philology at H. S. Skovoroda Kharkiv National Pedagogical University indicate that the majority of trainee teachers are on the whole satisfied with distance teaching and learning, though a great number of students consider the ratio of synchronous and asynchronous modes inappropriate. The findings of the research also suggest that trainee teachers would like more diversity in the tools used in distance education. Moreover, the more learning experience students have, the easier it is for them to adapt to different teaching conditions and the more willing they are to acquire the skills of working with various educational tools.  The received data may serve as the foundation for rationalizing the existing methods and techniques to increase the efficiency of trainee teachers’ distance education.

scholarly journals Drama in L2 learning: A research synthesis

2013 ◽  
Vol VII (2) ◽  
pp. 7-27
Author(s):  
George Belliveau ◽  
Won Kim
Keyword(s):  
Teaching And Learning ◽  
Learning Experience ◽  
Research Literature ◽  
Teaching Resources ◽  
Educational Drama ◽  
Learning And Teaching ◽  
L2 Learning ◽  
Research Findings ◽  
On Line ◽  
The Impact

This article closely examines research literature from the last two decades that focuses on the use of drama in L2 learning and teaching. L2 (second language) is used as an umbrella term that refers to any language learned in addition to one’s first language. The authors review on-line teaching resources, position papers, scholarly articles and existing research findings on the impact of implementing drama in L2 learning that were published in English. This review of literature suggests that despite a wide-spread pedagogical interest and scholarly conviction in the possibilities of educational drama in creating a more contextually-situated, engaging, multi-modal, and empowering L2 learning experience, there is still little empirical evidence concerning what is actually taking place in L2 classrooms and how students perceive and react to their learning experiences when drama is introduced. More systematic, long-term research studies are needed to deepen our understanding of the impact of using drama in L2 classrooms on a range of aspects of teaching and learning.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

Big Data Driven Clinical Informatics & Surveillance (BDD_CIS) – A Multimodal Database Focused Clinical, Community, and Multi-Omics Surveillance Plan for COVID-19: A study Protocol (Preprint)

2020 ◽  
Author(s):  
Bankole Olatosi ◽  
Jiajia Zhang ◽  
Sharon Weissman ◽  
Zhenlong Li ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Big Data ◽  
South Carolina ◽  
Data Science ◽  
Age Groups ◽  
The Elderly ◽  
The United States ◽  
Data Sources ◽  
Patient Registries ◽  
Multiple Partner ◽  
Multimodal Data

BACKGROUND The Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains a serious global pandemic. Currently, all age groups are at risk for infection but the elderly and persons with underlying health conditions are at higher risk of severe complications. In the United States (US), the pandemic curve is rapidly changing with over 6,786,352 cases and 199,024 deaths reported. South Carolina (SC) as of 9/21/2020 reported 138,624 cases and 3,212 deaths across the state. OBJECTIVE The growing availability of COVID-19 data provides a basis for deploying Big Data science to leverage multitudinal and multimodal data sources for incremental learning. Doing this requires the acquisition and collation of multiple data sources at the individual and county level. METHODS The population for the comprehensive database comes from statewide COVID-19 testing surveillance data (March 2020- till present) for all SC COVID-19 patients (N≈140,000). This project will 1) connect multiple partner data sources for prediction and intelligence gathering, 2) build a REDCap database that links de-identified multitudinal and multimodal data sources useful for machine learning and deep learning algorithms to enable further studies. Additional data will include hospital based COVID-19 patient registries, Health Sciences South Carolina (HSSC) data, data from the office of Revenue and Fiscal Affairs (RFA), and Area Health Resource Files (AHRF). RESULTS The project was funded as of June 2020 by the National Institutes for Health. CONCLUSIONS The development of such a linked and integrated database will allow for the identification of important predictors of short- and long-term clinical outcomes for SC COVID-19 patients using data science.

Produção internacional sobre ciência orientada a dados: análise dos termos data science e e-science na scopus e na web of science

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Leilah Santiago Bufrem ◽  
Fábio Mascarenhas Silva ◽  
Natanael Vitor Sobral ◽  
Anna Elizabeth Galvão Coutinho Correia
Keyword(s):  
Big Data ◽  
Open Access ◽  
Grid Computing ◽  
Digital Library ◽  
Data Science ◽  
Web Of Science ◽  
Computer Systems ◽  
Distributed Computer Systems

Introdução: A atual configuração da dinâmica relativa à produção e àcomunicação científicas revela o protagonismo da Ciência Orientada a Dados,em concepção abrangente, representada principalmente por termos como “e-Science” e “Data Science”. Objetivos: Apresentar a produção científica mundial relativa à Ciência Orientada a Dados a partir dos termos “e-Science” e “Data Science” na Scopus e na Web of Science, entre 2006 e 2016. Metodologia: A pesquisa está estruturada em cinco etapas: a) busca de informações nas bases Scopus e Web of Science; b) obtenção dos registros; bibliométricos; c) complementação das palavras-chave; d) correção e cruzamento dos dados; e) representação analítica dos dados. Resultados: Os termos de maior destaque na produção científica analisada foram Distributed computer systems (2006), Grid computing (2007 a 2013) e Big data (2014 a 2016). Na área de Biblioteconomia e Ciência de Informação, a ênfase é dada aos temas: Digital library e Open access, evidenciando a centralidade do campo nas discussões sobre dispositivos para dar acesso à informação científica em meio digital. Conclusões: Sob um olhar diacrônico, constata-se uma visível mudança de foco das temáticas voltadas às operações de compartilhamento de dados para a perspectiva analítica de busca de padrões em grandes volumes de dados.Palavras-chave: Data Science. E-Science. Ciência orientada a dados. Produção científica.Link:http://www.uel.br/revistas/uel/index.php/informacao/article/view/26543/20114

Impact of Big Data over Telecom Industry

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Muhammad Waqar Khan ◽  
Muhammad Asghar Khan ◽  
Muhammad Alam ◽  
Wajahat Ali
Keyword(s):  
Big Data ◽  
Data Science ◽  
Cell Phones ◽  
Smart Phones ◽  
World Population ◽  
Huge Amount ◽  
Scale Down ◽  
Telecom Industry ◽  
Telecom Sector ◽  
Theoretical Computing

<p>During past few years, data is growing exponentially attracting researchers to work a popular term, the Big Data. Big Data is observed in various fields, such as information technology, telecommunication, theoretical computing, mathematics, data mining and data warehousing. Data science is frequently referred with Big Data as it uses methods to scale down the Big Data. Currently<br />more than 3.2 billion of the world population is connected to internet out of which 46% are connected via smart phones. Over 5.5 billion people are using cell phones. As technology is rapidly shifting from ordinary cell phones towards smart phones, therefore proportion of using internet is also growing. There<br />is a forecast that by 2020 around 7 billion people at the globe will be using internet out of which 52% will be using their smart phones to connect. In year 2050 that figure will be touching 95% of world population. Every device connect to internet generates data. As majority of the devices are using smart phones to<br />generate this data by using applications such as Instagram, WhatsApp, Apple, Google, Google+, Twitter, Flickr etc., therefore this huge amount of data is becoming a big threat for telecom sector. This paper is giving a comparison of amount of Big Data generated by telecom industry. Based on the collected data<br />we use forecasting tools to predict the amount of Big Data will be generated in future and also identify threats that telecom industry will be facing from that huge amount of Big Data.</p>

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario

2017 ◽  
Vol SED2017 (01) ◽  
pp. 5-7
Author(s):  
Ruchi Jain ◽  
Neelesh Kumar Jain
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Online Education ◽  
Data Protection ◽  
Teaching And Learning ◽  
Relevant Information ◽  
Indian Society ◽  
Digital Learning ◽  
Modern Education ◽  
Indian Scenario

The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics contributes significantly to enhance teaching and learning. The key challenge for handling such data can be a costly affair. IBM has introduced the technology "Cognitive Storage" which ensures that the most relevant information is always on hand. This technology governs the incoming data, stores the data in definite media, application of levels of data protection, policies for the lifecycle and retention of different classes of data. This technology can be very beneficial for online learning in Indian scenario. This technology will be very beneficial in Indian society so as to store more information for the upliftment of the students’ knowledge.

Assessment and Critical Pedagogy

2019 ◽  
pp. 306-324
Author(s):  
Frank Abrahams
Keyword(s):  
United States ◽  
Critical Theory ◽  
Critical Pedagogy ◽  
Teaching And Learning ◽  
Teacher Performance ◽  
Learning Experience ◽  
The United States ◽  
Summative Assessments ◽  
The World ◽  
Integrative Assessment

This chapter aligns the tenets of critical pedagogy with current practices of assessment in the United States. The author posits that critical pedagogy is an appropriate lens through which to view assessment, and argues against the hegemonic practices that support marginalization of students. Grounded in critical theory and based on Marxist ideals, the content supports the notion of teaching and learning as a partnership where the desire to empower and transform the learner, and open possibilities for the learner to view the world and themselves in that world, are primary goals. Political mandates to evaluate teacher performance and student learning are presented and discussed. In addition to the formative and summative assessments that teachers routinely do to students, the author suggests integrative assessment, where students with the teacher reflect together on the learning experience and its outcomes. The chapter includes specific examples from the author’s own teaching that operationalize the ideas presented.

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