scholarly journals Exploring the Benefit of Blogs Dependency for Assessing Students’ Intellectual Achievement

2021 ◽  
pp. 123-131
Author(s):  
Imran Ademola Adeleke ◽  
Ismail Olaniyi Muraina
Keyword(s):  
Social Media ◽  
High Performance ◽  
Teaching And Learning ◽  
Test Statistics ◽  
Paper Test ◽  
Traditional Assessment ◽  
The Social ◽  
Intellectual Achievement ◽  
Teacher's Knowledge ◽  
Better Than

Blogs stand out among many social media that allows teacher and students to maintain a running dialogue in various aspect of the teaching and learning process. It comes in form of thoughts, ideas, tests, short-works/homework and assignment to enhance interactivity between the teacher’s knowledge base and students’ comments and reflections. This paper promotes the use of blogs in assessing students’ intellectuals while comparing the use of blogging for assessment as well as the use of traditional assessment. The study stresses scoring on paper versus scoring on blogs, students that we're able to complete their visitation of the blogs were noted to enjoy and benefit greatly compare to those that could not finish theirs and whether the performance of male bloggers may be different from that of female bloggers. 45 students involved in this study from among degree students of Achievers University. The research study was done within a semester. The achievement test was the major instrument used to collect data from the same students that were exposed to two different tests (Paper Test/Traditional Test and Blogging Test) after proper classroom teaching. The results got were analyzed using mean, SD and T-test statistics. From the findings, it was succinctly shown that the scores of students engaged in blogs far better than when they initially tested traditionally. In the same trend, those students that completed their test on blogs demonstrated high performance than their counterparts that could not. Further, the results also made it crystal clear that students were distributed equally on blogging regardless of their gender differences. The findings from the interview conducted established the fact that the use of a blog for assessment saves student time, the distance for learning and having quick result as feedback. The student has a high interest in the use of a blog for academic purposes rather than only the social affairs of the student. The paper contributes to the existing knowledge by turning blogs as social media into academic media that can foster the academic achievement of students and can also be used to assess students better than traditional assessment.

scholarly journals Update Chapter English Language Learning Using Social Media

2017 ◽  
Vol 6 (2) ◽  
pp. 265-271
Author(s):  
Evi Mahsunah
Keyword(s):  
Social Media ◽  
Language Learning ◽  
Teaching And Learning ◽  
English Language ◽  
Learning Strategy ◽  
Language Teaching ◽  
English Language Teaching ◽  
Media Technology ◽  
The Social ◽  
Language Teaching And Learning

This study explores the changing students’ habit update status in social media into update chapter to increase their achievement in English. It is a learning strategy in English language teaching and learning using social media technology. The aim is to motivate students more active to read their literature and then share and discuss their reading in social media. The students not only have to update their chapter in reading, but also have to give comment or respond to their friends update. So, this strategy makes the students discuss their lesson more than usual. This study uses questioner and documentation technic to collect the data. Based on the data, it is known that students are already using social media for purposes that include the social and the educational. Update chapter make them using this technology in class/after class. Social media brings learning outside the classroom autonomous, independent, motivational and fun. Therefore, the students‘achievement in English language teaching and learning also increases significant.

Profiling “User Bases” of Online Social Contexts

2020 ◽  
pp. 113-126
Keyword(s):  
Social Media ◽  
Social Context ◽  
Social Norms ◽  
Teaching And Learning ◽  
Social Contexts ◽  
Current User ◽  
Social Spaces ◽  
The Social ◽  
Common Practices

One aspect of profiling to enhance teaching and learning involves the various contexts in which learners will engage, such as particular social media ecosystems and their attendant microcultures (the social norms and common practices in these spaces), particularly if learners will be engaging with individuals outside of the formal classroom. Understanding the larger online social context helps define the affordances and constraints of what can be effectively taught and learned. This involves profiling the current user base of the online social spaces where the learners will be engaging and interacting and co-creating knowledge.

scholarly journals Perceiving education from Facebook profile pictures

2019 ◽  
Vol 22 (3) ◽  
pp. 550-570 ◽  
Author(s):  
Michael V. Reiss ◽  
Milena Tsvetkova
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Educational Background ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Outdoor Activities ◽  
Online Study ◽  
The Social ◽  
Profile Pictures ◽  
Better Than

Our upbringing and education influence not only how we present and distinguish ourselves in the social world but also how we perceive others. We apply this central sociological idea to the social media context. We conduct a large-scale online study to investigate whether observers can correctly guess the education of others from their Facebook profile pictures. Using the binomial test and cross-classified mixed-effects models, we show that observers can assess the education of depicted persons better than chance, especially when they share the same educational background and have experience with the social media. We also find that posting pictures of outdoor activities is a strong signal of having higher education, while professional photographs can obscure education signals. The findings expand our knowledge of social interaction and self-expression online and offer new insights for understanding social influence on social media.

Social Media News Classification in Healthcare Communication

2019 ◽  
Vol 9 (6) ◽  
pp. 1215-1223 ◽  
Author(s):  
Fiaz Majeed ◽  
Muhammad Waqas Asif ◽  
Muhammad Awais Hassan ◽  
Syed Ali Abbas ◽  
M. Ikramullah Lali
Keyword(s):  
Social Media ◽  
Support Vector ◽  
Learning Approaches ◽  
Healthcare Organizations ◽  
Significant Information ◽  
Health News ◽  
Related Data ◽  
The Social ◽  
Health Related ◽  
Better Than

The trend of news transmission is rapidly shifting from electronic media to social media. Currently, news channels in general, while health news channels specifically send health related news on social media sites. These news are beneficial for the patients, medical professionals and the general public. A lot of health related data is available on the social media that may be used to extract significant information and present several predictions from it to assist physicians, patients and healthcare organizations for decision making. However, A little research is found on health news data using machine learning approaches, thus in this paper, we have proposed a framework for the data collection, modeling, and visualization of the health related patterns. For the analysis, the tweets of 13 news channels are collected from the Twitter. The dataset holds approximately 28k tweets available under 280 hashtags. Furthermore, a comprehensive set of experiments are performed to extract patterns from the data. A comparative analysis is carried among the baseline method and four classification algorithms which include Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (J48). For the evaluation of the results, the standard measures accuracy, precision, recall and f-measure have been used. The results of the study are encouraging and better than the other studies of such kind.

scholarly journals Testing and Analyzing the Accuracy of Websites by Automated Scanner

2019 ◽  
Vol 8 (9) ◽  
pp. 2103-2108
Keyword(s):  
Social Media ◽  
Online Security ◽  
The Social ◽  
Day By Day ◽  
Better Than

According to the research on “scanning the vulnerabilities in websites using automation technique”the tool was only scanned those website which have the vulnerabilities in it, we reviewed the tool one more time and scanned more websites for monitoring the accuracy of the scanner and changed some parameters for diverse results [1]. Whenever it comes to the online security, this phrase “precaution is better than a cure” suits the situation in today’s life. People have some laziness or they may be naive for this because they do not know that they could be hacked anytime that’s why they need to be secure every time even on social media. Instead of the social media account there are many websites which could also be hacked easily. So, this tool/scanner is being updated and getting more accurate day by day so once we will know about the problems (flaws) of the websites then we could easily make them (websites) secure.

scholarly journals Comparison of pretraining models and strategies for health-related social media text classification

2021 ◽  
Author(s):  
Yuting Guo ◽  
Yao Ge ◽  
Yuan-Chi Yang ◽  
Mohammed Ali Al-Garadi ◽  
Abeed Sarker
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Text Classification ◽  
High Performance ◽  
Language Models ◽  
Learning Performance ◽  
Health Related ◽  
Social Media Text ◽  
Performance Results ◽  
Better Than

Motivation Pretrained contextual language models proposed in the recent past have been reported to achieve state-of-the-art performances in many natural language processing (NLP) tasks. There is a need to benchmark such models for targeted NLP tasks, and to explore effective pretraining strategies to improve machine learning performance. Results In this work, we addressed the task of health-related social media text classification. We benchmarked five models-RoBERTa, BERTweet, TwitterBERT, BioClinical_BERT, and BioBERT on 22 tasks. We attempted to boost performance for the best models by comparing distinct pretraining strategies-domain-adaptive pretraining (DAPT), source-adaptive pretraining (SAPT), and topic-specific pretraining (TSPT). RoBERTa and BERTweet performed comparably in most tasks, and better than others. For pretraining strategies, SAPT performed better or comparable to the off-the-shelf models, and significantly outperformed DAPT. SAPT+TSPT showed consistently high performance, with statistically significant improvement in one task. Our findings demonstrate that RoBERTa and BERTweet are excellent off-the-shelf models for health-related social media text classification, and extended pretraining using SAPT and TSPT can further improve performance.

scholarly journals COMMUNICATION EFFECTIVENESS OF SURABAYA CITY GOVERNMENT THROUGH TWITTER AND FACEBOOK

2021 ◽  
Vol 19 (1) ◽  
pp. 170-182
Author(s):  
Saodatul Qhamariyah ◽  
Achmad Nurmandi
Keyword(s):  
Social Media ◽  
City Government ◽  
Accurate Information ◽  
Communication Effectiveness ◽  
The Public ◽  
The Social ◽  
Information And Communication ◽  
The Government ◽  
Social Media Tool ◽  
Better Than

Advances in information and communication technology encourage the government as a stakeholder to have social media accounts. Likewise, the community is also required to have social media as a means of communication. The importance of social media has a very significant impact, especially in the field of government, for example as a medium in conveying suggestions and complaints from the public to the government or vice versa. Twitter and Facebook are some of the social media that are very popular with Indonesians. Including the Surabaya City Government, to support and develop policy programs made, they use this social media tool as an effective medium of communication. The purpose of this study was to determine the level of effectiveness of Surabaya city government communication via Twitter and Facebook. The research method used is descriptive qualitative by utilizing the Nvivo application to process the data. In this study, there are several assessment indicators used as benchmarks, namely (1) Accuracy, (2) Creativity, (3) Activeness, (4) Interaction, (5) Transparency. From the research results, it is known that the effectiveness of communication via Twitter is better than Facebook in terms of accurate information, creativity, activeness, and transparency. Meanwhile, in terms of interaction, Facebook is higher. Therefore, the Government is required to be even more innovative in conveying information to the public, so that people have an interest in knowing information about government and policies that have been announced.

Art of the Constructive Academic Social Brag to Improve Competition and Performance for Social-Shared Teaching and Learning

2022 ◽  
pp. 316-336
Keyword(s):  
Social Media ◽  
Digital Libraries ◽  
Teaching And Learning ◽  
Image Sharing ◽  
Video Sharing ◽  
Content Sharing ◽  
Learning Content ◽  
The Social ◽  
Social Sharing ◽  
And Performance

If social media is about the social brag and the pose, academic social media has dedicated platforms that enable such shares: learning content sharing platforms (educational channels on social video sharing sites and social image sharing sites, learning object referatories, digital libraries, slideshow sharing sites), research sharing sites, publications and review metrics platforms, social learning sites (MOOCs, LMSes), and others. The academic social brag does not have to be negative or offending; it can be designed and harnessed to improve competition and performance among peer academics (in their social sharing), given the reliance on learner/user numbers to justify the original creation and sharing. This work explores academic social bragging across various academic social sharing platforms, dimensions for how these are judged (positively or negatively), and ways to turn academic social brags into something constructive for social-shared teaching and learning.

scholarly journals Effective Classroom Experience via Social Media: An Experience in UNITEN

2018 ◽  
Vol 7 (4.36) ◽  
pp. 484
Author(s):  
Md. Nabil Ahmad Zawawi ◽  
. .
Keyword(s):  
Social Media ◽  
Teaching And Learning ◽  
Classroom Experience ◽  
Participation Level ◽  
The Social ◽  
Use Of Social Media ◽  
The Masses ◽  
New Generation ◽  
The Impact ◽  
Social Media Tool

The impact of social media towards many industries mainly business and entertainment is very notable due to the availability of affordable smartphones to the masses. However, in contrast to that, this technology is not utilized extensively to extend the classroom experience for teaching and learning at a university level. While we have tools such as Moodle or other similar Learning Management System (LMS), it does not really provide the sense of presence that the social media tool is providing to its socially active new generation of learners. This paper identifies features in the social media tool (i.e, Facebook) and how it can be used to provide a better after class experience. These features are identified after implementation on different groups of students. The effectiveness is measured based on the students’ grades, their participation level in the class and the lecturer’s performance evaluation at the end of each semester. The paper also suggested proper guidelines for optimizing the use of social media as a tool to assist in teaching and managing classes with large group of students. 

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