References cyberbullying

•

0 likes•21 views

Panchal Abeysinghe

References - Cyberbullying from a psychological perspective

References
Ajzen, I., 1991. The Theory of Planned Behavior. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION
PROCESSES, [Online]. 50, 179-211. Available at: https://doi.org/10.1016/0749-5978(91)90020-T
[Accessed 9 May 2020].
Barlett, C., 2019. Predicting Cyberbullying: Research, Theory, and Intervention. 1st ed. London:
Academic Press.
Heirman, W., Walrave, M., 2012. Predicting adolescent perpetration in cyberbullying: An application of
the theory of planned behavior. Psicothema, [Online]. 22(4), 614-620. Available at:
http://www.psicothema.com/PDF/4062.pdf [Accessed 10 May 2020].
Jafarkarimi, H., Saadatdoost, R., Sim, A.T.H., Hee, J.M., (2017). Cyberbullying among students: An
application of Theory of Planned Behavior. In 2017 International Conference on Research and
Innovation in Information Systems (ICRIIS). Malaysia, 16-17 July 2017. New York:
IEEE.10.1109/ICRIIS.2017.8002521.
Pabian, S., Vandebosch, H., 2014. Using the theory of planned behaviour to understand cyberbullying:
The importance of beliefs for developing interventions. European Journal of Developmental
Psychology, [Online]. 11:4, 463-477. Available at:
http://dx.doi.org/10.1080/17405629.2013.858626 [Accessed 11 May 2020].
UNICEF Sri Lanka. 2017. Keeping children in Sri Lanka safe and empowered online. [ONLINE] Available at:
https://www.unicef.org/srilanka/reports/keeping-children-sri-lanka-safe-and-empowered-
online . [Accessed 11 May 2020].

More Related Content

Similar to References cyberbullying

A review of cyberbullying and cyber threats in education 2

A review of cyberbullying and cyber threats in education 2

A review of cyberbullying and cyber threats in education 2

IAEME Publication

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

Virtual University is the environment that with utilizes the appropriate multimedia tools and having good communication infrastructure is a provider of e-learning services, so that usually does not have require to physical location as a traditional university and students are able in any place and at any time be willing to use a lot of services provided, such as e-courses or electronic tests. There are many solutions in order to identify and detect fraud in the online environment that use of these methods can be identified took place fraud, but still is great importance of avoid discussion and fraud detection in virtual university. In this research, we aimed are to investigate a new approach to detect and track fraud in virtual learning environments by using decision tree. (Chayd model). The results showed that the accuracy of the model is 84.54% which is indicative of high performance and high precision in predicting fraud from the teachers, students and hackers.

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

Virtual University is the environment that with utilizes the appropriate multimedia tools and having good communication infrastructure is a provider of e-learning services, so that usually does not have require to physical location as a traditional university and students are able in any place and at any time be willing to use a lot of services provided, such as e-courses or electronic tests. There are many solutions in order to identify and detect fraud in the online environment that use of these methods can be identified took place fraud, but still is great importance of avoid discussion and fraud detection in virtual university. In this research, we aimed are to investigate a new approach to detect and track fraud in virtual learning environments by using decision tree. (Chayd model). The results showed that the accuracy of the model is 84.54% which is indicative of high performance and high precision in predicting fraud from the teachers, students and hackers.

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Virtual University is the environment that with utilizes the appropriate multimedia tools and having good communication infrastructure is a provider of e-learning services, so that usually does not have require to physical location as a traditional university and students are able in any place and at any time be willing to use a lot of services provided, such as e-courses or electronic tests. There are many solutions in order to identify and detect fraud in the online environment that use of these methods can be identified took place fraud, but still is great importance of avoid discussion and fraud detection in virtual university. In this research, we aimed are to investigate a new approach to detect and track fraud in virtual learning environments by using decision tree. (Chayd model). The results showed that the accuracy of the model is 84.54% which is indicative of high performance and high precision in predicting fraud from the teachers, students and hackers.

Investigation of new approach to detect and track fraud in virtual learning

Investigation of new approach to detect and track fraud in virtual learning

Investigation of new approach to detect and track fraud in virtual learning

Webinar: Learning Informatics Lab, University of Minnesota Replay the talk: https://youtu.be/dcJZeDIMr2I Learning Informatics AI • Analytics • Accountability • Agency Simon Buckingham Shum Professor of Learning Informatics Director, Connected Intelligence Centre University of Technology Sydney Abstract: “Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program. Biography: Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net

Learning Informatics: AI • Analytics • Accountability • Agency

Learning Informatics: AI • Analytics • Accountability • Agency

Learning Informatics: AI • Analytics • Accountability • Agency

Simon Buckingham Shum

Reconsidering digital education through a theory of practice

Reconsidering digital education through a theory of practice

Reconsidering digital education through a theory of practice

Challenge of Technology Mediated Social Participation

Challenge of Technology Mediated Social Participation

Challenge of Technology Mediated Social Participation

Uniq UI: Usability, UX, and UI design, consulting and training

While many “brick-and-mortar” universities had to rapidly shift online provision during the pandemic, a range of online and distance learning universities have been teaching in blended and online formats for years. Obviously with every single click potentially interesting data might become available about how and perhaps why learners are engaging with learning materials and activities. A blossoming field of learning analytics has emerged since 2011 trying to make sense of these increased data flows. The Open University UK (OU) has been trailblazing innovative learning across the globe for 50 years. Since 2014 the OU has gradually moved from small-scale experimentation to large-scale adoption of learning analytics throughout all 400+ modules and qualifications available within the OU for its 170.000+ online learners. This keynote will explore how you as researcher, practitioner, and/or policy maker could start to use learning analytics to better understand your educational practice. Using examples from small-scale experiments and large-scale adoptions of predictive learning analytics I will explore together with EDEN RW participants which approaches and methods in learning analytics might be useful to consider. No prior knowledge or experience of learning analytics is expected, and join me on a journey of how you could potentially use data from your learners and teachers to further improve and finetune your blended and online provision. Dr. Bart Rienties is Professor of Learning Analytics and programme lead of the learning analytics and learning design research programme at the Institute of Educational Technology at the Open University UK. He leads a group of academics who provide university-wide learning analytics and learning design solutions and conduct evidence-based research of how students and professionals learn. His primary research interests are focussed on Learning Analytics, Professional Development, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects, and has received a range of awards for his educational innovation projects. He has published over 285 academic outputs, and is the 2nd most published author on Networks in Education in period 1969-2020 (Saqr et al. 2022), the 3rd most cited author on higher education internationalisation in Asia in the period 2013-2018 (Can & Hou, 2021), the 4th most cited author and contributor in Learning Analytics in the period 2011-2018 (Adeniji, 2019), the 5th most published author on internationalisation in the period 1900-2018 (Jing et al. 2020) and the 7th most published author on social network analysis in social sciences in the period 1999-2018 (Su et al. 2020), and the 14th most published author on educational technology in the period 2015-2018 (West & Bodily, 2020).

How can you use learning analytics in your own research and practice: an intr...

How can you use learning analytics in your own research and practice: an intr...

How can you use learning analytics in your own research and practice: an intr...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

This research aims to reveal factors that drive online shops owned by the student of the university in Bandung which utilizes Instagram for marketing efforts. This research uses three theories stated by Morissan (2010), Joseph (2011) and Strauss and Frost (2009) then synthesis those factors and uses 21 factors to analyze with Factor Analysis methodology. The samples of respondents are online shops owned by students. The total sample is 101 respondents. From the Rotated Component Matrix, this research indicates 7 factors and purposes of the new driver factors through the labeling process. As the result, this research creates 7 new driver factors motivated and driven online shops owned by students to utilize Instagram for marketing efforts, consist of: Learning and Responsive Feedback factor, Limitless Shopping Benefits factor, Cash-less factor, Efficient Communication factor, Easy Customization, Relation and Distribution factor, and Extensive Market Target factor. For future research, the authors suggest conducting empirical research.

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

ABSTRACT : Computational social science (CSS) is an academic discipline that combines the traditional social sciences with computer science. While social scientists provide research questions, data sources, and acquisition methods, computer scientists contribute mathematical models and computational tools. CSS uses computationally methods and statistical tools to analyze and model social phenomena, social structures, and human social behavior. The purpose of this paper is to provide a brief introduction to computational social science. Key Words: computational social science, social-computational systems, social simulation models, agent-based models

Computational Social Science

Computational Social Science

Computational Social Science

Personal factors as predictors of content specific use of the internet by aja...

Personal factors as predictors of content specific use of the internet by aja...

Personal factors as predictors of content specific use of the internet by aja...

Alexander Decker

Bibliometric is a method for measuring, monitoring, and studying scientific outputs in a given area for various purposes, such as prospecting research opportunities and substantiating scientific research. Bibliometric is one family of measures that uses a variety of approaches for counting publication, citation, co-citation, bibliographic coupling, keyword co-occurrence, and co-authorship networks. Information technology (IT) tools can be used to assist the process of searching for relevant scientific contents, collecting scientific data, and summarizing the results obtained. Bibliometric paper can be written before writing a literature review article and at the introduction section of any research papers. In this workshop, you will get familiar with “How to Write Your First Bibliometric Paper”.

How to Write Your First Bibliometric Paper

How to Write Your First Bibliometric Paper

How to Write Your First Bibliometric Paper

Nader Ale Ebrahim

Abstract: The majority of YouTube users are college students, therefore it's critical to understand their usage patterns, goals, and any potential psychological and behavioural effects. In order to determine the current trends in YouTube usage among female undergraduate students in Chennai City, this study will examine the devices used, memberships subscribed to, purposes used, and identity formation time spent networking, negative impacts experienced, and educational usage. Data from a survey were analysed with SPSS-Statistic 19.0 software, and the findings were compared to the examined literature. According to the survey, students' YouTube networking habits will eventually win out over parents' and teachers' attitudes, and although while cell phones are currently prohibited in many college buildings, they will undoubtedly be utilised in classrooms in the near future. The discoveries provide the current study in this area more depth.

Usage of YouTube Content among Chennai Urban Women.pdf

Usage of YouTube Content among Chennai Urban Women.pdf

Usage of YouTube Content among Chennai Urban Women.pdf

The advancement of social media plays an important role in increasing the population of youngsters on the web. And it has become the biggest medium of expressing oneâ€™s thoughts and emotions. Recent studies report that cyberbullying constitutes a growing problem among youngsters on the web. These kinds of attacks have a major influence on the current generationâ€™s personal and social life because youngsters are ready to adopt online life instead of a real one, which leads them into an imaginary world. So, we are proposing a system for early detection of cyberbullying on the web and comparing different machine learning Algorithms to obtain the optimal result. We are comparing four different algorithms which can be effectively used for the detection of cyberbullying, with the implementation of the bag of words algorithm with different n gram methods. Comparatively naÃ¯ve Bayes algorithm has the highest accuracy of 79 with trigram implementation of the bag of words algorithm. Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30765.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30765/comparative-study-of-cyberbullying-detection-using-different-machine-learning-algorithms/rohini-k-r

Comparative Study of Cyberbullying Detection using Different Machine Learning...

Comparative Study of Cyberbullying Detection using Different Machine Learning...

Comparative Study of Cyberbullying Detection using Different Machine Learning...

As a side effect of increasingly popular social media, cyberbullying has emerged as a serious problem afflicting children, adolescents and young adults. Machine learning techniques make automatic detection of bullying messages in social media possible, and this could help to construct a healthy and safe social media environment. In this meaningful research area, one critical issue is robust and discriminative numerical representation learning of text messages. In this paper, we propose a new representation learning method to tackle this problem. Our method named Semantic-Enhanced Marginalized Denoising Auto-Encoder (smSDA) is developed via semantic extension of the popular deep learning model stacked denoising autoencoder. The semantic extension consists of semantic dropout noise and sparsity constraints, where the semantic dropout noise is designed based on domain knowledge and the word embedding technique. Our proposed method is able to exploit the hidden feature structure of bullying information and learn a robust and discriminative representation of text. Comprehensive experiments on two public cyberbullying corpora (Twitter and MySpace) are conducted, and the results show that our proposed approaches outperform other baseline text representation learning methods..

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Social Media Ethics and Online Behavior.pptx

Social Media Ethics and Online Behavior.pptx

Social Media Ethics and Online Behavior.pptx

Beyond Methodology - ethical implications of doing online research

Beyond Methodology - ethical implications of doing online research

Beyond Methodology - ethical implications of doing online research

Similar to References cyberbullying (20)

A review of cyberbullying and cyber threats in education 2

A review of cyberbullying and cyber threats in education 2

A review of cyberbullying and cyber threats in education 2

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

A REVIEW OF CYBERBULLYING AND CYBER THREATS IN EDUCATION 2

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

INVESTIGATION A NEW APPROACH TO DETECT AND TRACK FRAUD IN VIRTUAL LEARNING EN...

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Investigation a New Approach to Detect and Track Fraud in Virtual Learning En...

Investigation of new approach to detect and track fraud in virtual learning

Investigation of new approach to detect and track fraud in virtual learning

Investigation of new approach to detect and track fraud in virtual learning

Learning Informatics: AI • Analytics • Accountability • Agency

Learning Informatics: AI • Analytics • Accountability • Agency

Learning Informatics: AI • Analytics • Accountability • Agency

Reconsidering digital education through a theory of practice

Reconsidering digital education through a theory of practice

Reconsidering digital education through a theory of practice

Challenge of Technology Mediated Social Participation

Challenge of Technology Mediated Social Participation

Challenge of Technology Mediated Social Participation

How can you use learning analytics in your own research and practice: an intr...

How can you use learning analytics in your own research and practice: an intr...

How can you use learning analytics in your own research and practice: an intr...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

A Parent and Teacher Training Program for Cyberbullying Detection and Interve...

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

The Driving Factors of Instagram Utilization for Marketing Efforts in Promoti...

Computational Social Science

Computational Social Science

Computational Social Science

Personal factors as predictors of content specific use of the internet by aja...

Personal factors as predictors of content specific use of the internet by aja...

Personal factors as predictors of content specific use of the internet by aja...

How to Write Your First Bibliometric Paper

How to Write Your First Bibliometric Paper

How to Write Your First Bibliometric Paper

Usage of YouTube Content among Chennai Urban Women.pdf

Usage of YouTube Content among Chennai Urban Women.pdf

Usage of YouTube Content among Chennai Urban Women.pdf

Comparative Study of Cyberbullying Detection using Different Machine Learning...

Comparative Study of Cyberbullying Detection using Different Machine Learning...

Comparative Study of Cyberbullying Detection using Different Machine Learning...

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Cyber bullying Detection based on Semantic-Enhanced Marginalized Denoising Au...

Social Media Ethics and Online Behavior.pptx

Social Media Ethics and Online Behavior.pptx

Social Media Ethics and Online Behavior.pptx

Beyond Methodology - ethical implications of doing online research

Beyond Methodology - ethical implications of doing online research

Beyond Methodology - ethical implications of doing online research

Recently uploaded

Explore the world of IT certification with CompTIA. Discover how the CompTIA Security+ Book SY0-701 can elevate your cybersecurity expertise and open doors to new career opportunities. This PDF provides essential insights into the CompTIA Security+ certification, guiding you through exam preparation and showcasing the benefits of becoming CompTIA-certified. Download now to embark on your journey to IT excellence with CompTIA.

ComPTIA Overview | Comptia Security+ Book SY0-701

ComPTIA Overview | Comptia Security+ Book SY0-701

ComPTIA Overview | Comptia Security+ Book SY0-701

The basics of sentences session 3pptx.pptx

The basics of sentences session 3pptx.pptx

The basics of sentences session 3pptx.pptx

Fostering Friendships - Enhancing Social Bonds in the Classroom

Fostering Friendships - Enhancing Social Bonds in the Classroom

Fostering Friendships - Enhancing Social Bonds in the Classroom

Pooky Knightsmith

ICT Role in 21st Century Education & its Challenges.pptx

ICT Role in 21st Century Education & its Challenges.pptx

ICT Role in 21st Century Education & its Challenges.pptx

Micro-Scholarship, What it is, How can it help me.pdf

Micro-Scholarship, What it is, How can it help me.pdf

Micro-Scholarship, What it is, How can it help me.pdf

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

Spatium Project Simulation student brief

Spatium Project Simulation student brief

Spatium Project Simulation student brief

Association for Project Management

Introduction to Nonprofit Accounting: The Basics

Introduction to Nonprofit Accounting: The Basics

Introduction to Nonprofit Accounting: The Basics

SOC 101 Demonstration of Learning Presentation

SOC 101 Demonstration of Learning Presentation

SOC 101 Demonstration of Learning Presentation

Basic Civil Engineering notes first year Notes Building notes Selection of site for Building Layout of a Building What is Burjis, Mutam Building Bye laws Basic Concept of sunlight ventilation in building National Building Code of India Set back or building line Types of Buildings Floor Space Index (F.S.I) Institutional Vs Educational Building Components & function Sills, Lintels, Cantilever Doors, Windows and Ventilators Types of Foundation AND THEIR USES Plinth Area Shallow and Deep Foundation Super Built-up & carpet area Floor Area Ratio (F.A.R) RCC Reinforced Cement Concrete RCC VS PCC

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

How to Give a Domain for a Field in Odoo 17

How to Give a Domain for a Field in Odoo 17

How to Give a Domain for a Field in Odoo 17

Sociology 101 Demonstration of Learning Exhibit

Sociology 101 Demonstration of Learning Exhibit

Sociology 101 Demonstration of Learning Exhibit

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University of Engineering & Technology, Jamshoro

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

Nguyen Thanh Tu Collection

Unit-IV- Pharma. Marketing Channels.pptx

Unit-IV- Pharma. Marketing Channels.pptx

Unit-IV- Pharma. Marketing Channels.pptx

VishalSingh1417

1029 - Danh muc Sach Giao Khoa 10 . pdf

1029 - Danh muc Sach Giao Khoa 10 . pdf

1029 - Danh muc Sach Giao Khoa 10 . pdf

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Dyslexia AI Workshop for Slideshare.pptx

Dyslexia AI Workshop for Slideshare.pptx

Dyslexia AI Workshop for Slideshare.pptx

callscotland1987

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

Recently uploaded (20)

ComPTIA Overview | Comptia Security+ Book SY0-701

ComPTIA Overview | Comptia Security+ Book SY0-701

ComPTIA Overview | Comptia Security+ Book SY0-701

The basics of sentences session 3pptx.pptx

The basics of sentences session 3pptx.pptx

The basics of sentences session 3pptx.pptx

Fostering Friendships - Enhancing Social Bonds in the Classroom

Fostering Friendships - Enhancing Social Bonds in the Classroom

Fostering Friendships - Enhancing Social Bonds in the Classroom

ICT Role in 21st Century Education & its Challenges.pptx

ICT Role in 21st Century Education & its Challenges.pptx

ICT Role in 21st Century Education & its Challenges.pptx

Micro-Scholarship, What it is, How can it help me.pdf

Micro-Scholarship, What it is, How can it help me.pdf

Micro-Scholarship, What it is, How can it help me.pdf

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx

Spatium Project Simulation student brief

Spatium Project Simulation student brief

Spatium Project Simulation student brief

Introduction to Nonprofit Accounting: The Basics

Introduction to Nonprofit Accounting: The Basics

Introduction to Nonprofit Accounting: The Basics

SOC 101 Demonstration of Learning Presentation

SOC 101 Demonstration of Learning Presentation

SOC 101 Demonstration of Learning Presentation

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx

How to Give a Domain for a Field in Odoo 17

How to Give a Domain for a Field in Odoo 17

How to Give a Domain for a Field in Odoo 17

Sociology 101 Demonstration of Learning Exhibit

Sociology 101 Demonstration of Learning Exhibit

Sociology 101 Demonstration of Learning Exhibit

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University Newsletter Vol-X, Issue-I, 2024

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...

Unit-IV- Pharma. Marketing Channels.pptx

Unit-IV- Pharma. Marketing Channels.pptx

Unit-IV- Pharma. Marketing Channels.pptx

1029 - Danh muc Sach Giao Khoa 10 . pdf

1029 - Danh muc Sach Giao Khoa 10 . pdf

1029 - Danh muc Sach Giao Khoa 10 . pdf

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Dyslexia AI Workshop for Slideshare.pptx

Dyslexia AI Workshop for Slideshare.pptx

Dyslexia AI Workshop for Slideshare.pptx

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf

References cyberbullying

1. References Ajzen, I., 1991. The Theory of Planned Behavior. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, [Online]. 50, 179-211. Available at: https://doi.org/10.1016/0749-5978(91)90020-T [Accessed 9 May 2020]. Barlett, C., 2019. Predicting Cyberbullying: Research, Theory, and Intervention. 1st ed. London: Academic Press. Heirman, W., Walrave, M., 2012. Predicting adolescent perpetration in cyberbullying: An application of the theory of planned behavior. Psicothema, [Online]. 22(4), 614-620. Available at: http://www.psicothema.com/PDF/4062.pdf [Accessed 10 May 2020]. Jafarkarimi, H., Saadatdoost, R., Sim, A.T.H., Hee, J.M., (2017). Cyberbullying among students: An application of Theory of Planned Behavior. In 2017 International Conference on Research and Innovation in Information Systems (ICRIIS). Malaysia, 16-17 July 2017. New York: IEEE.10.1109/ICRIIS.2017.8002521. Pabian, S., Vandebosch, H., 2014. Using the theory of planned behaviour to understand cyberbullying: The importance of beliefs for developing interventions. European Journal of Developmental Psychology, [Online]. 11:4, 463-477. Available at: http://dx.doi.org/10.1080/17405629.2013.858626 [Accessed 11 May 2020]. UNICEF Sri Lanka. 2017. Keeping children in Sri Lanka safe and empowered online. [ONLINE] Available at: https://www.unicef.org/srilanka/reports/keeping-children-sri-lanka-safe-and-empowered- online . [Accessed 11 May 2020].