Understanding Privacy Concerns in Online Courses: A Case Study of Proctortrack

2015 ◽  
pp. 137-150
Author(s):  
Anwar ul Haq ◽  
Arshad Jamal ◽  
Usman Butt ◽  
Asim Majeed ◽  
Aykut Ozkaya
Keyword(s):  
Online Courses ◽  
Privacy Concerns

SonicFace

2021 ◽  
Vol 5 (4) ◽  
pp. 1-33
Author(s):  
Yang Gao ◽  
Yincheng Jin ◽  
Seokmin Choi ◽  
Jiyang Li ◽  
Junjie Pan ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Microphone Array ◽  
Wearable Sensors ◽  
Real Life ◽  
Privacy Concerns ◽  
Fine Grained ◽  
Recognition Of Facial Expressions ◽  
Ubiquitous Sensing ◽  
Contact Free

Accurate recognition of facial expressions and emotional gestures is promising to understand the audience's feedback and engagement on the entertainment content. Existing methods are primarily based on various cameras or wearable sensors, which either raise privacy concerns or demand extra devices. To this aim, we propose a novel ubiquitous sensing system based on the commodity microphone array --- SonicFace, which provides an accessible, unobtrusive, contact-free, and privacy-preserving solution to monitor the user's emotional expressions continuously without playing hearable sound. SonicFace utilizes a pair of speaker and microphone array to recognize various fine-grained facial expressions and emotional hand gestures by emitted ultrasound and received echoes. Based on a set of experimental evaluations, the accuracy of recognizing 6 common facial expressions and 4 emotional gestures can reach around 80%. Besides, the extensive system evaluations with distinct configurations and an extended real-life case study have demonstrated the robustness and generalizability of the proposed SonicFace system.

AI and privacy concerns: a smart meter case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jillian Carmody ◽  
Samir Shringarpure ◽  
Gerhard Van de Venter
Keyword(s):  
Private Information ◽  
Personal Information ◽  
Consumer Information ◽  
Data Sets ◽  
Smart Meter ◽  
Smart Meters ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Legislation

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

scholarly journals Understanding Learner Behaviour in Online Courses through Learning Analytics

2021 ◽  
pp. 381-390
Author(s):  
D. Thammi Raju ◽  
G. R. K. Murthy ◽  
S. B. Khade ◽  
B. Padmaja ◽  
B. S. Yashavanth ◽  
...  
Keyword(s):  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Learning Experience ◽  
Training Needs ◽  
Online Course ◽  
Quality Of Education ◽  
Time Data

Building an effective online course requires an understanding of learning analytics. The study assumes significance in the COVID 19 pandemic situation as there is a sudden surge in online courses. Analysis of the online course using the data generated from the Moodle Learning Management System (LMS), Google Forms and Google Analytics was carried out to understand the tenants of an effective online course. About 515 learners participated in the initial pre-training needs & expectations’ survey and 472 learners gave feedback at the end, apart from the real-time data generated from LMS and Google Analytics during the course period. This case study analysed online learning behaviour and the supporting learning environment and suggest critical factors to be at the centre stage in the design and development of online courses; leads to the improved online learning experience and thus the quality of education. User needs, quality of resources and effectiveness of online courses are equally important in taking further online courses.

scholarly journals Investigating the characteristics of MOOCs according to eight critical dimensions: A case study

2020 ◽  
Author(s):  
Jennifer W.M. Lai ◽  
Matt Bower ◽  
Yvonne Breyer ◽  
John De Nobile
Keyword(s):  
Online Courses ◽  
Institutional Environment ◽  
Subject Area ◽  
Massive Open Online Courses ◽  
Discussion Forums ◽  
Text Search ◽  
Critical Dimensions ◽  
Study Approach ◽  
Level Of Knowledge

Massive Open Online Courses (MOOCs) have been a popular trend in the online learning landscape. However, MOOC learners have expressed their dissatisfaction with the courses or problems with course management. To develop a widely accepted MOOC, the main aim of this study is to investigate the characteristics of MOOCs by using eight themes: learning outcomes, affective elements, behaviours, design, technology elements, pedagogy, presence and institutional environment. Using the case study approach, we explored the practices of four MOOCs in an Excel specialisation by using student unsolicited feedback, the literature and the analysis of the MOOCs by researchers. We analysed the learners’ posts on the official forums with auto-code sentiment and text search functions in Nvivo 12 Plus. The results of this study showed that high-rated MOOCs had approximately 74.7% of positive sentiments on discussion forums, with 1.2% negative and 24.1% neutral. The results indicated that MOOCs helped learners improve their level of knowledge in the subject area. Teachers/instructors also play a very significant role, and they have to provide clear explanations in different concepts. To conclude, this study intends to offer guidelines to researchers, educators, and MOOC designers to create successful MOOCs by focusing on the eight dimensions.

Exploring University Students’ Perceptions Of Online Physical Education Class As Participants: A Qualitative Case Study

2021 ◽  
Vol 7 (5) ◽  
pp. 3559-3575
Author(s):  
Zhao Jia ◽  
Dandan Tang ◽  
Borhannudin Bin Abdullah ◽  
Roxana Dev Omar Dev ◽  
Shamsulariffin bin Samsudin
Keyword(s):  
College Students ◽  
Physical Education ◽  
University Students ◽  
Online Courses ◽  
Online Classes ◽  
Face To Face ◽  
University Of Technology ◽  
Face To Face Learning

Compare face to face learning, the implication of online courses has been discussed for several years in higher education. However, in 2020 the rise of the global COVID-19 pandemic has created obvious shifts in university students’ life. In order to ensure the “suspension of classes”, university students took part more in online classes compare to physical education (PE) classes in China. It is significant to explore students’ views on PE online learning that is benefit for teachers to provide students with high quality of online PE courses, which will be better to guide students to take PE lessons and also improve students’ health. This study investigated the issues of students’ perceptions toward online physical education courses in Tianjin University of Technology in China based on a case study. The findings of this study indicate that some students don’t like taking online PE courses due to there were some disadvantages of online PE lesson. Some students enjoy taking online PE courses because of the interesting sports videos. This study also explored teachers’ view on how to motivate college students to engage in physical education classes and recommends specific strategies for teachers to motivate college students to take online PE courses.

Sign in / Sign up

Export Citation Format

Share Document