scholarly journals Near-Real-Time Learner Analysis and Faculty Support During a Transition to Online Education

Author(s):  
Todd Fernandez ◽  
Joe Le Doux ◽  
Essy Behravesh
2021 ◽  
Vol 12 (2) ◽  
pp. 35-45
Author(s):  
Yuzhu Yang

With the development and spread of networks, online education has become a new way in education. The online education platform encounters a large number of concurrent visiting, while the system must guarantee network security in the process of online education. The network visiting requests are real-time and dynamic in online education. In order to detect network intrusion and abnormal access in real time and adapt to the dynamic changes of network visiting requests, this paper adopts a data stream-based network intrusion detection method to monitor and manage online education visiting. First, a knowledge library is constructed by normal visiting mode and abnormal visiting mode. Second, the dissimilarity between data point and data cluster is used to measure the similarity between normal mode and abnormal mode. Lastly, the knowledge library is updated to reflect the changes of network in online education system by re-clustering. The proposed method is evaluated on a real dataset.


2021 ◽  
Vol 263 (1) ◽  
pp. 5910-5918
Author(s):  
Yiya Hao ◽  
Yaobin Chen ◽  
Weiwei Zhang ◽  
Gong Chen ◽  
Liang Ruan

Audio processing, including speech enhancement system, improves speech intelligibility and quality in real-time communication (RTC) such as online meetings and online education. However, such processing, primarily noise suppression and automatic gain control, is harmful to music quality when the captured signal is music instead of speech. A music detector can solve the issue above by switching off the speech processing when the music is detected. In RTC scenarios, the music detector should be low-complexity and cover various situations, including different types of music, background noises, and other acoustical environments. In this paper, a real-time music detection method with low-computation complexity is proposed, based on a convolutional neural network (CNN) using Mel-spectrogram and spectral flux as input features. The proposed method achieves overall 90.63% accuracy under different music types (classical music, instruments solos, singing-songs, etc.), speech languages (English and Mandarin), and noise types. The proposed method is constructed on a lightweight CNN model with a small feature size, which guarantees real-time processing.


2012 ◽  
Vol 17 (32) ◽  
pp. 75-85
Author(s):  
Parikshat S. Manhas ◽  

In this article we try to present the general impression that online learning/real time virtual learning conveys. The myriad interpretations of online education are depicted elaborately along with its advantages and influence on various stakeholders. The disadvantages of online education reveal their apparently potent drawbacks, which are then trailed by «opposing views». These views give concrete justifications against the so-called shortcomings of online learning and enlist the techniques used to tackle them. Besides of what online education does for students, learners and tutors at large, it also confers some potential by-products, such as helping build a strong brand image of educational institutions that offer it. Although educational institutions worldwide are employing online learning resources to create a brand image for themselves, a well-worn discussion has to be mooted to understand the implications of their usage.


Author(s):  
Jason D. Baker ◽  
Robert J. Schihl

One factor that has led institutions to develop online learning programs is the perception that they have lower production costs than campus-based courses, particularly as the numbers of students increase. Hülsmann (2004) noted that this view was a significant tenet in the argument supporting distance learning in developing nations. Specifically, he described the common belief that “distance education is able to deal with large numbers more cost-effectively than traditional education, and has proved to do so also in developing countries” (Introduction section, paragraph 3). To one extent, this is a valid viewpoint. Unlike earlier distance education approaches, such as print-based correspondence courses and full-motion videoconferencing, online learning doesn’t require the purchase of high-cost specialized equipment such as videoconferencing rooms or publishing systems. Although there are numerous examples of institutions spending far more per course than traditional programs—NYUonline was rumored to have spent upwards of $1 million per course (Maeroff, 2003)— a motivated instructor can create and publish components of a Web-based course on a personal computer and then upload the materials to a free Web hosting service and instantly teach online to students anywhere in the world. The relative ease of creating Web-based materials, however, can mask larger challenges that face online education providers. Providing effective online faculty support is one area that can be easily overlooked with such a myopic view of online course development.


2003 ◽  
Vol 31 (4) ◽  
pp. 361-380 ◽  
Author(s):  
Shuzhi Sam Ge ◽  
Meng Yong Tok

With the advances in Internet technologies, online education is fast gaining ground as an extension to traditional education. Webcast allows lectures conducted on campus to be viewed by students located at remote sites by streaming the audio and video content over Internet Protocol (IP) networks. However when used alone, webcast does not provide the form of user-to-user interaction that is so important in education. This article presents a collaboration system that can be used to facilitate interaction among users in a live webcast environment. The collaboration system supports real-time communication in both text and audio modes. To allow discussions to be carried out in an orderly manner, a virtual hand-raising scheme is implemented to put more control in the hands of the instructor. Using a topic browser, students can access content of previous discussions and use them as reference sources for any new question they may wish to raise. To allow offline viewing, the discussion content are automatically saved to the local computer at the end of each collaboration session.


2020 ◽  
Vol 12 (24) ◽  
pp. 10243
Author(s):  
Beth Porter ◽  
Francesca Grippa

This paper explores the effect of AI-enabled real-time feedback on group dynamics and individual behavior. While feedback interventions have been employed for several years to trigger behavioral change, the lack of instantaneous feedback and the required infrastructure are limiting the widespread use of these interventions. The methodology we describe offers immediate pointers to participants through the use of the Meeting Mediator (MM), an online intervention tool that shows the conversational balance of participants and offers immediate feedback to team members, with limited intermediation of the researchers. Both the experimental group—exposed to the MM—and the control group completed two tasks, which involved making a series of complex decisions as a group in the form of two moral reasoning tasks. Results confirmed that participants exposed to the MM experienced approximately twice as large of an increase in self-assessed dominance over the control group as those who were exposed only once. This effect is also present on repeated exposures, and becomes more pronounced with each subsequent exposure. When participants were exposed to the MM either in the first task or in the second task, their performance increased, though we found no positive impact when groups were exposed several times to it. Overall, this experiment demonstrates the benefits of using AI-enabled tools to promote effective collaboration and sustainable growth in corporate settings and online education environments, which requires the development of critical thinking and self-reflection skills.


2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Guoliang Li ◽  
Rixing Wang ◽  
Qikun Zhou

Web based real time communication enhances the current online education platform by blending it with virtual universities by the means of internet. This article explored the designing perspective of College Online Education Platform in order to provide distance education services, instant messaging, interactive online classes, video answering and video viewing functions. A media server cluster load balancing algorithm based on consistency hash algorithm and genetic algorithm is proposed in this article. This article is focused on designing and practical implementation of a fusion communication platform combined with WebRTC and related technologies to deliver online education system in colleges and universities. The online education system is tested and the test results show that the online education system designed and implemented in this paper can meet the expected needs. The media server cluster load balancing strategy proposed in this paper can ensure the cluster overall load balancing. At the same time, the node weight can be dynamically adjusted according to the real-time state of the clusters. The outcomes obtained justifies the efficiency and practicability of the proposed methodology.


2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Gregory Hislop ◽  
Michael Atwood

If the current growth in online education continues, teaching online will become part of routine faculty workload at many traditional, research-oriented universities. This is already occurring within some faculties, and this paper focuses on one of those cases. The paper describes faculty issues related to a completely online graduate degree in Information Systems at Drexel University. Following a brief overview, the paper presents results of a survey of the faculty affected by this degree. The survey addresses faculty support for the degree, and for the prospect of online teaching as a significant, permanent part of the work of the college.


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