scholarly journals Learning and Teaching Mathematics with Online Social Networks: The Case of Facebook

2021 ◽  
Author(s):  
Yaniv Biton ◽  
Ruti Segal
Keyword(s):  
Social Networks ◽  
High School Students ◽  
Online Social Networks ◽  
Mathematical Thinking ◽  
Collaborative Work ◽  
Online Social Network ◽  
School Students ◽  
Learning And Teaching ◽  
Wide Range ◽  
Matriculation Exam

We present here a study in which a digital-based communication platform is used for collaborative work in the learning and teaching processes. In this case, we focused on Facebook as the online social network to help motivate high-school students to become well prepared for their Bagrut (matriculation) exam in mathematics. To this end, the Center for Educational Technology (CET) established a “virtual review session” on Facebook before the exam in which 614 students and 16 teachers participated. We aimed to answer two questions: what learning and teaching opportunities can Facebook offer to prepare students for the mathematics matriculation exam? and how do students and teachers perceive learning processes via social networks? Our analysis was qualitative. The findings indicate that Facebook, for one, can offer excellent learning and teaching opportunities as a result of the interactions that evolve between the students themselves and between the students and teachers. For the students, this digital social platform helps promote peer evaluation, exposes them to a wide range of questions and solutions, and fosters the development of mathematical thinking and creativity. For the teachers, it helps expand their technological and pedagogical-mathematical knowledge.

scholarly journals "Together but Separate" – What is the Correlation, If Any, between Social Loneliness, Virtual Friendship, and Use of Social Networks

2019 ◽  
Vol 7 (10) ◽  
pp. 1
Author(s):  
Roman Yavich ◽  
Nitza Davidovitch
Keyword(s):  
Social Networks ◽  
High School Students ◽  
Interpersonal Communication ◽  
Online Social Networks ◽  
Self Report ◽  
School Students ◽  
Technological Developments ◽  
Virtual Friendship ◽  
And Gender ◽  
Social Loneliness

With the rise of online social networks, the development and maintenance of relationships are gradually being transferred to the virtual sphere. Technological developments have created a revolution that forces people to cope with situations that were unknown to them several decades ago. This study aimed to examine the association, if any, between social loneliness and virtual friendship. In addition, the effect of gender on these variables was also examined. The research participants included 313 high school students from all over Israel, with an age range of 14-18. The study examined social loneliness, the nature of virtual friendships, and participants' undue use of social networks, using two self-report scales. The research findings indicate a significant correlation between social loneliness and these variables, as well as an effect of gender. A correlation was also found between social loneliness and virtual friendships, but no interaction was found between these variables and gender, such that this research hypothesis was not confirmed. These findings might illuminate the development of interpersonal communication in the present era, as well as the role of virtual communication in the lives of individuals.

scholarly journals Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class

2021 ◽  
Vol 11 (23) ◽  
pp. 11545
Author(s):  
Sebastian Romero ◽  
Habib M. Fardoun ◽  
Victor M. R. Penichet ◽  
Maria D. Lozano ◽  
Jose A. Gallud
Keyword(s):  
Social Networks ◽  
High School Students ◽  
Online Social Networks ◽  
Positive Reinforcement ◽  
Positive Impact ◽  
Control Group ◽  
Classroom Participation ◽  
School Students ◽  
K 12 ◽  
Experimental Group

Online social networks are part of our daily life. They are widely used among university students. These platforms have positive and negative aspects. Focusing on the positive aspects, positive reinforcement social networks (PRSNs) have been used to improve the participation of high school students in the classroom. The main objective of this study is to analyze online social interaction on PRSNs, in order to find out if they have a positive impact on classroom participation and students’ self-perceptions of their own social skills, especially in the supposedly difficult STEM (Science, Technology, Engineering and Mathematics) subjects, where engagement tends to be lower. An education-oriented PRSN platform has been developed and used by the experimental group of students to promote discussion and facilitate the sharing of different types of materials. These materials had to be related to students’ academic and professional life, but not necessarily related to Mathematics. A total of 72 Geometry students (K–12) and their teacher participated in a semester-long experimental study. Analyses of the interactions through the proposed platform combined with classroom participation revealed that students from the experimental group showed an improvement not found in the control group. Moreover, perceptions of students’ own online skills were analyzed, showing a positive impact after the experiment.

scholarly journals Social Media and Students’ Wellbeing: An Empirical Analysis during the Covid-19 Pandemic

2021 ◽  
Vol 13 (18) ◽  
pp. 10442
Author(s):  
Hedviga Tkáčová ◽  
Martina Pavlíková ◽  
Zita Jenisová ◽  
Patrik Maturkanič ◽  
Roman Králik
Keyword(s):  
High School ◽  
Social Media ◽  
High School Students ◽  
Young People ◽  
Online Education ◽  
Online Social Networks ◽  
Slovak Republic ◽  
Well Being ◽  
School Students ◽  
Wide Range

Various forms of social media (SM) appear to be very popular among young people because they provide information and entertainment, including a wide range of web technologies such as blogs, wikis, online social networks, and virtual networks. SM plays a huge role in the lives of children and teenagers, especially during the COVID-19 pandemic, when the computer becomes not only a means of entertainment or leisure, but also a necessary and everyday means of education and communication with other people. Thus, COVID-19 has brought a radical change, not only in the daily schedule and leisure time of pupils and students, but also in the perception of the procedures used by this specific group in the online space. Through our own research, using structured interviews and a questionnaire, we examine the use of SM as a tool to promote sustainable well-being in a group of high school students from various schools in central Slovak Republic (formerly Czechoslovakia). The research confirms that during the pandemic, the use of SM by the young respondents contributes significantly to well-being. This is the case when SM is used by high school students as a tool in promoting: (1) personal interests; (2) motivation; (3) communication and interpersonal connectivity; (4) preferred forms of online education; and (5) online games. The article presents a set of recommendations regarding the use of SM as a tool for sustaining the well-being of young people during the pandemic.

SAUDI STUDENTS’ AND TEACHERS’ STRATEGIES AND BELIEFS IN LEARNING AND TEACHING ENGLISH IN SAUDI ARABIA

2020 ◽  
Vol 7 (9) ◽  
pp. 664-672
Author(s):  
Eiman Nather
Keyword(s):  
High School ◽  
High School Students ◽  
Public Schools ◽  
Learning Strategies ◽  
Teaching And Learning ◽  
Collaborative Work ◽  
Real Life ◽  
Public High School ◽  
School Students ◽  
Learning And Teaching

This preliminary study investigates the Saudi public high school student deficiencies in speaking English and seeks ways to improve the curriculum opportunities for students in English-speaking classrooms. Saudi public schools aim to educate students to use English in real-life communication. However, the majority of Saudi high school students graduate with low levels of understanding and competence in communicating in English. This pilot study examines the strategies that Saudi high school teachers and students have followed to teach and learn English in public schools and investigates their beliefs about effective teaching and learning strategies. The study is based on a questionnaire. Ninety female students of years seven, eight, and nine and their six teachers were drawn from two public schools in Riyadh. The findings of this study reflect the importance of collaborative work between stakeholders including supervisors, teachers, parents, and students. In addition, they emphasize that besides the teachers’ beliefs, learners’ needs and expectations should be taken into account, to increase the likelihood of a more productive and successful learning environment. The consensus was that the best results are achieved when interesting activities and interactive teaching strategies are used to support the mandatory course-book.

scholarly journals How migrants manifest their transnational identity through online social networks: comparative findings from a case of Koreans in Germany

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunyoung Park ◽  
Lasse Gerrits
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Point Of View ◽  
Comparative Case Study ◽  
Transnational Identity ◽  
Transnational Identities ◽  
Web 3.0 ◽  
Situational Contexts

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).

Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks

2021 ◽  
Vol 15 (3) ◽  
pp. 1-33
Author(s):  
Jingjing Wang ◽  
Wenjun Jiang ◽  
Kenli Li ◽  
Keqin Li
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Prediction Error ◽  
High Efficiency ◽  
Optimization Problems ◽  
Online Social Network ◽  
Reconstruction Error ◽  
Incremental Updating ◽  
Cp Decomposition ◽  
Error Accumulation

CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social network (OSN) applications. However, it is inefficient when dealing with massive and incremental data. Some incremental CP decomposition (ICP) methods have been proposed to improve the efficiency and process evolving data, by updating decomposition results according to the newly added data. The ICP methods are efficient, but inaccurate because of serious error accumulation caused by approximation in the incremental updating. To promote the wide use of ICP, we strive to reduce its cumulative errors while keeping high efficiency. We first differentiate all possible errors in ICP into two types: the cumulative reconstruction error and the prediction error. Next, we formulate two optimization problems for reducing the two errors. Then, we propose several restarting strategies to address the two problems. Finally, we test the effectiveness in three typical dynamic OSN applications. To the best of our knowledge, this is the first work on reducing the cumulative errors of the ICP methods in dynamic OSNs.

Quantifying Virality of Information in Online Social Networks

2012 ◽  
Vol 4 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Abhishek Vaish ◽  
Rajiv Krishna G. ◽  
Akshay Saxena ◽  
Dharmaprakash M. ◽  
Utkarsh Goel
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Critical Factors ◽  
Asset Valuation ◽  
Valuation Technique ◽  
Information Item ◽  
Viral Nature ◽  
Over Time

The aim of this research is to propose a model through which the viral nature of an information item in an online social network can be quantified. Further, the authors propose an alternate technique for information asset valuation by accommodating virality in it which not only complements the existing valuation system, but also improves the accuracy of the results. They use a popularly available YouTube dataset to collect attributes and measure critical factors such as share-count, appreciation, user rating, controversiality, and comment rate. These variables are used with a proposed formula to obtain viral index of each video on a given date. The authors then identify a conventional and a hybrid asset valuation technique to demonstrate how virality can fit in to provide accurate results.The research demonstrates the dependency of virality on critical social network factors. With the help of a second dataset acquired, the authors determine the pattern virality of an information item takes over time.

scholarly journals FORMATION OF HIGH SCHOOL STUDENTS’SAFE BEHAVIOUR WHILE TERRORIST ATTACKS

2021 ◽  
Vol 1 ◽  
pp. 732-741
Author(s):  
Tetiana Veretenko ◽  
Anton Trebe ◽  
Olena Bieloliptseva
Keyword(s):  
High School ◽  
Social Networks ◽  
High School Students ◽  
Terrorist Attack ◽  
Terrorist Attacks ◽  
School Students ◽  
Terrorist Threat ◽  
Experimental Implementation ◽  
Terrorist Acts

The attention is drawn to the possibility of terrorist attacks in Ukraine. The essence of safe behaviour during a terrorist attack is revealed in the article. The purpose of the article is to determine the rules of behaviour for high school students in the case of a terrorist attack, the action algorithm of high school students on receiving information about a terrorist threat; rules of safe behaviour in social networks, which are actively used by terrorists, who attack high school students to participate in their groups and terrorist acts; to present a formation program of high school students’safe behaviour while terrorist attacks and show its effectiveness.The results of the experimental implementation of the program for formation of high school students’safe behaviour during terrorist attacks and emergencies are analyzed after asurvey carried out. According to the results summarised a conclusion is made to activate social and pedagogical work in the field of forming students’safe behaviour while terrorist attacks and emergencies.

scholarly journals Defining Inspection Techniques for Detecting Privacy Problems in Online Social Networks

2019 ◽  
Vol 10 ◽  
pp. 35
Author(s):  
Andrey  Rodrigues ◽  
Natasha  M. C. Valentim ◽  
Eduardo  Feitosa
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Empirical Study ◽  
Qualitative Analysis ◽  
Online Social Networks ◽  
Online Social Network ◽  
Effective Alternative ◽  
Daily Lives ◽  
Study Participants ◽  
Inspection Techniques

In the last few years, Online Social Networks (OSN) have experienced growth in the number of users, becoming an increasingly embedded part of people’s daily lives. Privacy expectations of OSNs are higher as more members start realizing potential privacy problems they face by interacting with these systems. Inspection methods can be an effective alternative for addressing privacy problems because they detect possible defects that could be causing the system to behave in an undesirable way. Therefore, we proposed a set of privacy inspection techniques called PIT-OSN (Privacy Inspection Techniques for Online Social Network). This paper presents the description and evolution of PIT-OSN through the results of a preliminary empirical study. We discuss the quantitative and qualitative results and their impact on improving the techniques. Results indicate that our techniques assist non-expert inspectors uncover privacy problems effectively, and are considered easy to use and useful by the study participants. Finally, the qualitative analysis helped us improve some technique steps that might be unclear.

scholarly journals DeepOSN: Bringing deep learning as malicious detection scheme in online social network

2020 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
Putra Wanda ◽  
Marselina Endah Hiswati ◽  
Huang J. Jie
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Online Social Networks ◽  
Link Prediction ◽  
Online Social Network ◽  
Detection Scheme ◽  
Malicious Activity ◽  
Manual Analysis ◽  
Learning Techniques

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.

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