Perspectives of the Application of Video Streaming to Education

2011 ◽  
pp. 411-428 ◽  
Author(s):  
Marco Ronchetti
Keyword(s):  
Video Streaming ◽  
Video Segmentation ◽  
Technological Research ◽  
Research Areas ◽  
Video Lectures ◽  
Gesture Analysis ◽  
E Learning ◽  
Pedagogical Research ◽  
Near Future ◽  
Dominant Paradigm

The field of e-learning has been a precursor in using the video streaming over the Internet. Both the synchronous and the asynchronous options have been explored over the last decade, with the asynchronous one becoming the dominant paradigm in recent years. Pedagogical research lecture reported evidence that video-streaming is an effective way of teaching, provided certain conditions are met. Technological research has attempted to investigate various ways to better produce or deploy video lectures: video segmentation, summarization, multimodal extraction of text and metadata, semantic search and gesture analysis are among the research areas that were involved. The present paper reviews the main technological research achievements and trends, and suggests directions in which we may be seeing the streaming of lectures to venture in near future.

Promising global scientific and technological research areas in the field of "Marine Resources"

2020 ◽  
Author(s):  
T. K. Kvasha ◽  
◽  
O. F. Paladchenko ◽  
I. V. Molchanova ◽  
◽  
...  
Keyword(s):  
Marine Resources ◽  
Technological Research ◽  
Research Areas

Intelligence in Web Technology

2013 ◽  
pp. 739-757
Author(s):  
Sourav Maitra ◽  
A. C. Mondal
Keyword(s):  
Semantic Web ◽  
Science Research ◽  
Research Area ◽  
Web Technology ◽  
Clear Understanding ◽  
Web Technologies ◽  
Research Areas ◽  
Computer Science Research ◽  
E Learning ◽  
New Research

End users also start days with Internet. This has become the scenario. One of the most burgeoning needs of computer science research is research on web technologies and intelligence, as that has become one of the most emerging nowadays. A big area of other research areas like e-marketing, e-learning, e-governance, searching technologies, et cetera will be highly benefited if intelligence can be added to the Web. The objective of this chapter is to create a clear understanding of Web technology research and highlight the ways to implement Semantic Web. The chapter also discusses the tools and technologies that can be applied to develop Semantic Web. This new research area needs enough care as sometimes data are open. Thus, software engineering issues are also a focus.

Semantic Analysis of Videos for Tags Prediction and Segmentation

2020 ◽  
pp. 296-307
Author(s):  
Umair Ali Khan
Keyword(s):  
Semantic Analysis ◽  
Video Segmentation ◽  
Video Retrieval ◽  
Relevant Literature ◽  
Multimedia Data ◽  
Compact Set ◽  
Incident Detection ◽  
Research Areas ◽  
Pros And Cons ◽  
Manual Methods

Due to the growing volume of multimedia data generated these days, it has become extremely difficult to manually analyze the data and extract useful information from it. Especially the analysis of videos pertaining to different fields such as surveillance, videos, social media, education, etc. cannot be done efficiently by manual methods. This requires automatic analysis algorithms that can intelligently analyze videos and derive salient information from them. This information can be useful in a number of tasks such as video segmentation, incident detection, anomaly detection, query-based video retrieval, and content censorship. This chapter provides a detailed review of the techniques proposed for video analysis to provide a compact set of video tags. This chapter considers it a joint tag-segmentation problem and critically analyzes the relevant literature to highlight their respective pros and cons. At the end, potential research areas in this domain and suggestions for improvement are discussed.

Denial-of-Service and Botnet Analysis, Detection, and Mitigation

2021 ◽  
pp. 20-48
Author(s):  
Sobana Sikkanan ◽  
Kasthuri M.
Keyword(s):  
Denial Of Service ◽  
The Internet ◽  
Dos Attack ◽  
Dos Attacks ◽  
Network Resources ◽  
Systematic Analysis ◽  
Network Bandwidth ◽  
Research Areas ◽  
History Analysis ◽  
Near Future

The internet is designed for processing and forwarding of any packet in a best effort manner. The packets carried by the internet may be malicious or not. Most of the time, internet architecture provides an unregulated path to victims. Denial-of-service (DoS) attack is the most common critical threat that causes devastating effects on the internet. The Botnet-based DoS attack aims to exhaust both the target resources and network bandwidth, thereby making the network resources unavailable for its valid users. The resources are utilized by either injecting a computer virus or flooding the network with useless traffic. This chapter provides a systematic analysis of the causes of DoS attacks, including motivations and history, analysis of different attacks, detection and protection techniques, various mitigation techniques, the limitations and challenges of DoS research areas. Finally, this chapter discusses some important research directions which will need more attention in the near future to guarantee the successful defense against DoS attacks.

An Intelligent System for Predicting a User Access to a Web Based E-Learning System Using Web Mining

2020 ◽  
Vol 15 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Data Analytics ◽  
Web Mining ◽  
Intelligent System ◽  
Learning System ◽  
Web Based ◽  
Challenging Tasks ◽  
E Learning ◽  
User Access ◽  
Near Future ◽  
A Company

In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.

SoundSpace Online: The Development of an Online Resource About Hearing Loss

2015 ◽  
Vol 24 (3) ◽  
pp. 289-292 ◽  
Author(s):  
Zheng Yen Ng ◽  
Sue Archbold ◽  
Connie Mayer ◽  
Imran Mulla
Keyword(s):  
Hearing Loss ◽  
Education Research ◽  
Developmental State ◽  
The Internet ◽  
Functional Information ◽  
Target Groups ◽  
Online Resource ◽  
Wide Range ◽  
E Learning ◽  
Near Future

Purpose The Internet has been a growing source of health information on hearing loss, but the information provided often varies in quality, readability, and usability. Additionally, the information is provided across a wide range of domains, making access challenging to those who need it. This research forum article describes the development of a new website, SoundSpace Online (Ng, Archbold, Mayer, & Mulla, 2014), which aims to tackle these issues and bring together information and resources for all those concerned with hearing loss. Method The SoundSpace Online website's current developmental state was reached through the following methods: (a) discussions with a group of individuals that included experts in e-learning, education, research, and hearing loss; (b) interviews with different target groups (e.g., users, families, and professionals); and (c) collaboration with contributors. Result The website is structured to become a go-to resource on various topics related to hearing loss, providing accurate, comprehensive, and functional information and resources at varying levels of complexity for the intended users. Conclusion The literature and the range of interest have illustrated the need for an up-to-date website providing information and resources on hearing loss. Challenges include monitoring and keeping the website up to date; in this article, a plan of action is discussed. The website is currently in development, with plans for a launch in the near future.

scholarly journals ANALYSIS AND EVALUATION OF THE EXPERIENCE OF DISTANCE LEARNING IN THE CONDITIONS OF THE PANDEMIC BY THE PEDAGOGICAL COMMUNITY OF UNIVERSITIES

2021 ◽  
Vol 31 (1) ◽  
pp. 83-93
Author(s):  
N.A. Khlebnikova ◽  
T.I. Okonnikova ◽  
L.V. Batalova
Keyword(s):  
Distance Learning ◽  
Traditional Education ◽  
Digital Tools ◽  
Quality Of Education ◽  
State University ◽  
Analysis And Evaluation ◽  
Online Test ◽  
Video Lectures ◽  
E Learning

The article presents the results of a study conducted to analyze and evaluate the new pedagogical experience of teachers, received by them in the conditions of distance learning during the period of self-isolation in the spring of 2020. The study was carried out by the method of questionnaires. It was revealed that the majority of teachers assess this period as more difficult in comparison with the period of traditional education, but at the same time consider the experience gained as positive and useful for the future. The teachers noted that they had to master modern digital tools suitable for distance learning (video conferencing services, recording audio and video lectures, online test constructors, etc.), as well as take a fresh look at the capabilities of social networks and messengers and e-learning systems of Udmurt State University. In assessing the degree of mastering by students of educational material in conditions of distance learning, the opinions of teachers differed: most of them believe that students have mastered the material at the same level as in offline conditions or even better, but almost half (44.4 %) noted that there was a decrease in this level. The need to ensure the appropriate quality of education requires finding ways to solve problems arising in the process of distance learning.

scholarly journals Using Learning Analytics to Evaluate Course Design and Student Behavior in an Online Wine Business Course

2019 ◽  
Vol 27 (4) ◽  
Author(s):  
Kerry Wilkinson ◽  
Imogen McNamara ◽  
David Wilson ◽  
Karina Riggs
Keyword(s):  
Learning Analytics ◽  
Course Design ◽  
Learning Resources ◽  
Online Delivery ◽  
Face To Face ◽  
Video Lectures ◽  
Audio Recordings ◽  
Business Course ◽  
E Learning ◽  
The Impact

This case study describes the use of learning analytics to evaluate the transition of a postgraduate wine business course from face-to-face to online delivery using e-learning course design principles. Traditionally, Foundations of Wine Science lectures were delivered face-to-face, however the decision to transition the course from semester to trimester format presented an opportunity for online delivery of lectures. This was initially achieved through audio recordings, then video lectures, supported by a range of digital learning resources intended to engage, support and enhance student learning and the student experience. Descriptive analysis of learning analytics, comprising assessment results, student evaluations of learning and teaching, and data sourced from the Learning Management System, was performed to evaluate the impact of online delivery of course content on student performance, satisfaction and engagement. The use of audio lecture recordings negatively impacted students’ perception of the overall quality of the course (including course organisation, learning strategies and learning resources). The subsequent implementation of e-learning designed video lectures was considered superior to audio recordings, albeit final grades were not significantly different between the delivery modes. However, student engagement was equal to, or better than face-to-face delivery, when content was designed specifically for an e-learning environment.

scholarly journals Pelatihan E-learning Google Classroom Bagi Kelompok Kerja Kepala Sekolah Dasar (K3SD) Kecamatan Banjarmasin Utara

2021 ◽  
Vol 3 (4) ◽  
pp. 415
Author(s):  
Agus Hadi Utama ◽  
Hamsi Mansur ◽  
Sulistyo Rini ◽  
Adrie Satrio
Keyword(s):  
Elementary School ◽  
Distance Learning ◽  
Training Program ◽  
Video Streaming ◽  
Actual Condition ◽  
Knowledge And Skills ◽  
Content Development ◽  
E Learning ◽  
Online Distance Learning ◽  
Online Distance

Berdasarkan hasil inisiasi pengamatan lembaga mitra yang dilakukan oleh tim Pengabdian Masyarakat Prodi Teknologi Pendidikan FKIP ULM, terungkap bahwa banyak guru yang masih minim dalam melaksanakan pembelajaran daring/jarak-jauh atau E-learning di masa pandemi COVID-19. Hal ini disebabkan oleh kurangnya pengetahuan dan keterampilan guru untuk mengembangkan dan mengoptimalkan konten dan fitur-fitur E-learning platform Google classroom. Kegiatan penelitian dan pengabdian masyarakat ini bertujuan untuk: 1) untuk mengetahui kondisi faktual pelaksanaan pembelajaran daring/pembelajaran jarak jauh (PJJ) berbasis Google classroom di lembaga mitra. 2) melaksanakan program pelatihan mengembangkan konten dan optimalisasi penggunaan fitur-fitur Google classroom pada lembaga mitra. 3) untuk meningkatkan pengetahuan dan keterampilan guru dalam pengembangan konten dan optimalisasi penggunaan fitur-fitur Google classroom melalui desiminasi E-book praktis bagi lembaga mitra. Metode pelaksanaan kegiatan pelatihan mengadopsi pola pelaksanaan penelitian tindakan meliputi tiga tahapan, yaitu: perencanaan program, pelaksanaan program, observasi dan evaluasi program/refleksi. Hasil penelitian menunujukkan kondisi faktual pembelajaran daring/ PJJ atau penggunaan E-learning Google classroom di SDN Kec. Banjarmasin Utara adalah sebagai berikut: 1) kondisi faktual pelaksanaan pembelajaran daring/PJJ menggunakan E-learning terungkap bahwa guru-guru SDN Kec. Banjarmasin Utara sudah terbiasa mengembangkan konten pembelajaran Google classroom, seperti: Power point, Youtube, dan Portable document format, sehingga program pelatihan difokuskan kepada optimalisasi penggunaan fitur-fitur Google classroom dan desiminasi produk E-book praktis penggunaan Google classroom bagi lembaga mitra. Pelatihan pengembangkan konten dan optimalisasi fitur-fitur Google classroom dibagi kedalam lima sesi, yaitu: 1) pengantar Google classroom, 2) mengakses Google classroom dan membuat kelas, 3) Video streaming, 4) Classwork material: Assignment, Quiz, Question, 5) People: Grade & Grading.     Based on the results observations of partner institutions conducted by the researcher team of the education technology study program, Universitas Lambung Mangkurat, it was revealed that teachers are still lacking in carrying out online/distance learning during the COVID-19 pandemic because the teacher's lack of knowledge and skills to develop and optimize the content and features by using google classroom. This research activity aims 1) to know the actual condition of implementing online/distance learning using google classroom. 2) implement a training program to develop content and optimize the use of google classroom features. 3) to improve teachers' knowledge and skills in content development and optimization the use of google classroom features using e-books usage guides for partner institutions. Implementing the training program uses three stages: 1) program planning, 2) program implementation and 3) program evaluating/reflections. The results of the study showed the factual condition of online/distance learning using google classroom at elementary school North Banjarmasin district is as follows: 1) the implementation of online/distance learning revealed that teachers at elementary school North Banjarmasin district is accustomed to developing google classroom learning content, such as PowerPoint, YouTube, and portable document formats so that the training program is focused on optimizing the use of google classroom features using e-books usage guides for partner institutions. The content development training and optimization of google classroom features are divided into five sessions: 1) introduction to google classroom, 2) access google classroom and create classes, 3) video streaming, 4) classwork material: assignment, quiz, question, 5) people: grade & grading. 

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