Opportunities and Challenges of Using Big Data Applications in Institutions of Higher Learning Libraries and Research Institutions

2021 ◽  
pp. 107-122
Author(s):  
Josiline Phiri Chigwada
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Higher Learning ◽  
Data Accuracy ◽  
Knowledge And Skills ◽  
Search Terms ◽  
Big Data Applications ◽  
Institutions Of Higher Learning ◽  
Accuracy Data ◽  
Structured Literature Review

The chapter documents opportunities and challenges experienced when using big data applications in libraries. The objective of the study was to examine the big data applications that are used in libraries. The big data concept is new, and some librarians are not aware of it while others do not have the knowledge and skills of using big data applications. A structured literature review was done to examine how libraries use big data. The search terms that were used were “big data AND libraries.” The findings revealed that libraries are generating big data. The challenges that are experienced include data accuracy, data confidentiality and security, lack of skills to deal with data reduction and compression, and the unavailability of big data processing systems and technology in libraries. The author recommends the up skilling of librarians so that they are able to deal with the challenges of working with big data applications.

scholarly journals Basic and Advanced Skills They Don’t Have: The Case of Postgraduate and Literature Review Writing

2015 ◽  
Author(s):  
Kuang Ching Hei ◽  
Maya Khemlani David
Keyword(s):  
Literature Review ◽  
Academic Writing ◽  
Public University ◽  
Higher Learning ◽  
Student Selection ◽  
Postgraduate Students ◽  
Reading And Writing ◽  
Institutions Of Higher Learning ◽  
Klang Valley ◽  
Advanced Skills

Purpose – This paper aims to identify the difficulties postgraduate students face in writing the literature review for their thesis and dissertation.   Methodology – Seventy postgraduate students from 9 faculties in one public university in the Klang Valley consented to participating in this study. They were 49 Masters candidates and 21 doctoral (PhD) candidates attending a workshop on academic writing. Among them, 31 were Malaysians and 39 were foreigners with majority being Arabs and Africans. After an icebreaking session, participants were asked what their writing diffi culties are when doing their literature review. They were told to write their responses in English in a paper. A linguistic analysis was then applied to the written phrases and expressions which denote their diffi culties. These were then categorised under common themes and manually counted in terms of the frequency.   Findings – A total of 37 categories of diffi culties were detected. They encompassed basic and advanced skills in reading and writing including ‘not knowing what to read’, ‘how to read’, ‘how to start writing’, ‘organising’, ‘doing a critical analysis’, ‘summarising’ and ‘synthesising’.   Significance – The fi ndings imply that most of the participants do not possess the necessary skills of reading and writing which are required in most postgraduate programmes. Thus, it is imperative that institutions of higher learning develop stricter criteria for student selection. Alternatively, a programme providing support in reading and writing may enable these postgraduate students to raise their level before being admitted. This kind of support can help to mitigate the burden imposed on supervisors as well as develop better quality postgraduate students.  

scholarly journals Big Data Applications in Vaccinology

2021 ◽  
Vol 6 (2) ◽  
pp. 59-80
Author(s):  
Joseph E. Kasten
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Analytics ◽  
Human Race ◽  
Big Data Applications ◽  
The World ◽  
Big Data Technologies ◽  
History Of ◽  
Structured Literature Review ◽  
Over Time

The development of vaccines has been one of the most important medical and pharmacological breakthroughs in the history of the world. Besides saving untold lives, they have enabled the human race to live and thrive in conditions thought far too dangerous only a few centuries ago. In recent times, the development of the COVID-19 vaccine has captured the world’s attention as the primary tool to defeat the current pandemic. The tools used to develop these vaccines have changed dramatically over time, with the use of big data technologies becoming standard in many instances. This study performs a structured literature review centered on the development, distribution, and evaluation of vaccines and the role played by big data tools such as data analytics, datamining, and machine learning. Through this review, the paper identifies where these technologies have made important contributions and in what areas further research is likely to be useful.

Imperatives in Leading Institutions of Higher Learning

2017 ◽  
Vol 7 (1) ◽  
pp. 38-51 ◽  
Author(s):  
Neeta Baporikar
Keyword(s):  
Literature Review ◽  
Higher Learning ◽  
Contextual Analysis ◽  
Published Data ◽  
Roller Coaster ◽  
Academic Leaders ◽  
Academic Leader ◽  
Institutions Of Higher Learning ◽  
Current Scenario ◽  
Public Scrutiny

Being an academic leader is a tough job and leading institutions of higher learning is definitely challenging in current scenario. It has become more challenging due to shrinking of budgets, rise in public scrutiny and expectations, commercialisation, massification. Responsibilities continue to grow for academic leaders. But leading a B-School which is also an institution of higher learning is more than a tough job. It is in fact a roller coaster ride. So what is that makes leading B-School so bewildering and what are the imperatives in leading a B-School is the focus of this paper? Adopting in depth literature review and contextual analysis of secondary published data, reports and deep observation as a part of B-School for nearly two decades the paper also proposes a holistic framework to lead a B-School to achieve its rightful place, become more responsible for ensuring sustainability and growth in the context in which it operates.

scholarly journals Mitigating Barriers to Persistence: A Review of Efforts to Improve Retention and Graduation Rates for Students of Color in Higher Education

2019 ◽  
Vol 9 (1) ◽  
pp. 118 ◽  
Author(s):  
Tachelle Banks ◽  
Jennifer Dohy
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Graduation Rates ◽  
Students Of Color ◽  
Higher Learning ◽  
Barriers To Success ◽  
Institutions Of Higher Learning ◽  
Retention And Graduation Rates ◽  
Systemic Barriers

This literature review highlights barriers to persistence, retention, and graduation for students of color at institutions of higher learning. Successful strategies, approaches, and initiatives are discussed with consideration to deficit and strengths-based approaches. It is also highlighted that universities may need to address programmatic barriers within the institutions that may exacerbate systemic barriers to success for students of color in higher education.

scholarly journals A Literature Review on Automatic Generation of Examinations

2021 ◽  
Vol 4 (2) ◽  
pp. 77-84
Author(s):  
Peter Ndegwa Ndirangu ◽  
Elizaphan Maina Muuro ◽  
John Kihoro
Keyword(s):  
Deep Learning ◽  
Literature Review ◽  
Automatic Generation ◽  
Higher Learning ◽  
Cognitive Level ◽  
Revised Bloom's Taxonomy ◽  
Institutions Of Higher Learning ◽  
Cognitive Levels ◽  
The World ◽  
Questions And Answers

The examination is a key activity in determining what the learner has gained from the study. Institutions of higher learning (IHL) perform this activity through various assessment methods (test/examination, practical, etc.). The world today is focused on automation of exam generation which is ongoing with dire need during this period of the COVID-19 pandemic when education is greatly affected, leading to embracing online learning and examination. A text/exam comprises questions and answers that focus on evaluation to determine the student’s conversant level in the area of study. Each question has a cognitive level as described by (Armstrong, 2016) in the revised Bloom’s taxonomy. Questions chosen have cognitive levels based on the level of study and standardization of the exam. There is, therefore, a need to consider the question’s cognitive level along with other factors when generating an examination by incorporating deep learning algorithms.

Big data applications on the Internet of Things: A systematic literature review

2021 ◽  
Author(s):  
Ulkar Ahmadova ◽  
Mustafa Mustafayev ◽  
Behnam Kiani Kalejahi ◽  
Saeed Saeedvand ◽  
Amir Masoud Rahmani
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Systematic Literature Review ◽  
The Internet ◽  
Big Data Applications ◽  
The Internet Of Things
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