Using Social Media and Big Data to Facilitate Teaching and Learning in Health Professions

2018 ◽  
Author(s):  
Bianca Belcher ◽  
Jessica Duff
Keyword(s):  
Social Media ◽  
Big Data ◽  
Teaching And Learning ◽  
Health Professions

scholarly journals Leveraging Machine Learning to Understand how Emotions Influence Equity Related Education (Preprint)

2021 ◽  
Author(s):  
Javeed Sukhera ◽  
Syed Hasan Ahmed
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
General Population ◽  
Language Processing ◽  
Health Professionals ◽  
Teaching And Learning ◽  
Social Issues ◽  
Health Professions ◽  
Health Professions Education ◽  
Media Discourse

BACKGROUND Teaching and learning about topics such as bias is challenging due to the emotional nature of bias-related discourse. However, emotions can be challenging to study in health professions education for numerous reasons. With the emergence of Machine Learning (ML) and Natural Language Processing (NLP), sentiment analysis (SA) has potential to bridge the gap. OBJECTIVE To improve our understanding of the role of emotions in bias related discourse, we developed and conducted a SA of bias related discourse among health professionals. METHODS We conducted a 2-stage quasi experimental study. First, we developed a SA (algorithm) within an existing archive of interviews with health professionals about bias. SA refers to a mechanism of analysis that evaluates the sentiment of textual data by assigning scores to textual components and calculating and assigning a sentiment value to the text. Next, we applied our SA algorithm to an archive of social media discourse on Twitter that contained equity related hashtags to compare sentiment among health professionals and the general population. RESULTS When tested on the initial archive, our SA algorithm was highly accurate compared to human scoring of sentiment. An analysis of bias-related social media discourse demonstrated that health professionals were less neutral than the general population when discussing social issues on professionally associated accounts, suggesting that health professionals attach more sentiment to their posts on Twitter than seen in the general population. CONCLUSIONS The finding that health professionals are more likely to show and convey emotions regarding equity related issues on social media has implications for teaching and learning about sensitive topics related in health professions education. Such emotions must therefore be considered in the design, delivery, and evaluation of equity and bias related education. CLINICALTRIAL Not applicable

DYNAMIC EXTRACTION AND ANALYTICS OF BIG DATA FROM CLOUD AND SOCIAL MEDIA INTEGRATED PLATFORMS

2020 ◽  
Vol 9 (6) ◽  
pp. 3703-3711
Author(s):  
N. Oberoi ◽  
S. Sachdeva ◽  
P. Garg ◽  
R. Walia
Keyword(s):  
Social Media ◽  
Big Data ◽  
Dynamic Extraction

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.

Feminist Cyber-Artivism, Musicing, and Music Teaching and Learning

2020 ◽  
pp. 291-312
Author(s):  
Marissa Silverman
Keyword(s):  
Social Media ◽  
Music Education ◽  
Case Studies ◽  
Teaching And Learning ◽  
The Body ◽  
The Internet ◽  
Philosophical Investigation ◽  
Music Teaching ◽  
Music Making ◽  
The Voice

This chapter asks an important, yet seemingly illusive, question: In what ways does the internet provide (or not) activist—or, for present purposes “artivist”—opportunities and engagements for musicing, music sharing, and music teaching and learning? According to Asante (2008), an “artivist (artist + activist) uses her artistic talents to fight and struggle against injustice and oppression—by any medium necessary. The artivist merges commitment to freedom and justice with the pen, the lens, the brush, the voice, the body, and the imagination. The artivist knows that to make an observation is to have an obligation” (p. 6). Given this view, can (and should) social media be a means to achieve artivism through online musicing and music sharing, and, therefore, music teaching and learning? Taking a feminist perspective, this chapter interrogates the nature of cyber musical artivism as a potential means to a necessary end: positive transformation. In what ways can social media be a conduit (or hindrance) for cyber musical artivism? What might musicing and music sharing gain (or lose) from engaging with online artivist practices? In addition to a philosophical investigation, this chapter will examine select case studies of online artivist music making and music sharing communities with the above concerns in mind, specifically as they relate to music education.

Citizens, Elites, and Social Media Methodological Challenges and Opportunities in the Study of Persuasion and Mobilization

2019 ◽  
pp. 1036-1058
Author(s):  
Philip Habel ◽  
Yannis Theocharis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Supply And Demand ◽  
Political Process ◽  
The Political ◽  
The Novel ◽  
Complete Understanding ◽  
Social Media Data ◽  
Challenges And Opportunities ◽  
Media Data

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”

scholarly journals Exploring the Influence of Social Media Usage for Academic Purposes Using a Partial Least Squares Approach

Computation ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 64
Author(s):  
Jabar H. Yousif ◽  
Firdouse R. Khan ◽  
Safiya N. Al Al Jaradi ◽  
Aysha S. Alshibli
Keyword(s):  
Social Media ◽  
Online Education ◽  
Least Squares ◽  
Partial Least Squares ◽  
Quantitative Research ◽  
Creative Thinking ◽  
Teaching And Learning ◽  
Positive Impact ◽  
Sampling Technique ◽  
Linear Regression Method

Social media applications have been increasingly gaining significant attention from online education and training platforms. Social networking tools provide multiple advantages for communicating, exchanging opinions, and discussing specific issues. Social media also helps to improve the processes of teaching and learning through sharing educational programs. In this study, we used a quantitative research technique based on the partial least-squares (PLS) linear regression method to determine the influence of using social media as an online discussion and communication platform for academic purposes by assessing the relationships among the skills obtained through social media, the usage of social media, and the purpose of social media. A total of 200 students participated in this study (88% female and 12% males), and a purposive sampling technique was used to select a suitable population for the study. The results show that 61.5% of the participants use the web daily for more than five hours, mainly for social communication (meaningful dialog and discussion skills) and entertainment. The students agreed that social media develops their creative thinking, but it has no positive impact on their academic performance.

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