A Visual Analytics Approach to Facilitate the Proctoring of Online Exams

@article{Li2021AVA,
  title={A Visual Analytics Approach to Facilitate the Proctoring of Online Exams},
  author={Haotian Li and Min Xu and Yong Wang and Huan Wei and Huamin Qu},
  journal={Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  year={2021}
}
  • Haotian Li, Min Xu, Huamin Qu
  • Published 20 January 2021
  • Computer Science
  • Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Online exams have become widely used to evaluate students’ performance in mastering knowledge in recent years, especially during the pandemic of COVID-19. However, it is challenging to conduct proctoring for online exams due to the lack of face-to-face interaction. Also, prior research has shown that online exams are more vulnerable to various cheating behaviors, which can damage their credibility. This paper presents a novel visual analytics approach to facilitate the proctoring of online… 
Students' Perspective Towards Online Proctoring in Exams During Covid-19
The World Health Organization (WHO) declared Covid-19 as a pandemic in early 2020. As a result, the organization has decided to close all educational institutions, and thereby conventional classroom
BlockLens: Visual Analytics of Student Coding Behaviors in Block-Based Programming Environments
TLDR
This work proposes BlockLens, a novel visual analytics system to assist instructors and platform owners in analyzing students' block-based coding behaviors, mistakes, and problem-solving patterns and presents insights at multiple granularity levels.
MulUBA: multi-level visual analytics of user behaviors for improving online shopping advertising
TLDR
This work proposes a multi-level visual analysis method based on the K-Means algorithm, which can better understand user behaviors from multiple community granularity and multiple time scales, and designs and improves three traditional charts that can help analysts observe user characteristics at the three levels.
Augmenting Sports Videos with VisCommentator
TLDR
VisCommentator, a fast prototyping tool, to eases the creation of augmented table tennis videos by leveraging machine learning-based data extractors and design space-based visualization recommendations, and can be generalized to other racket sports once the underlying datasets and models are available.
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
TLDR
KG4Vis is presented, a knowledge graph (KG)-based approach for visualization recommendation that does not require manual specifications of visualization rules and can also guarantee good explainability and demonstrates the effectiveness of the approach.
Understanding the Relationship Between Students' Learning Outcome and Behavioral Patterns using Touch Trajectories
In this paper, we extend existing research on using geometric features extracted from trajectory data to understand student behavioral patterns and learning outcome. We analyzed 910,661 trajectories
Ambiente de Acompanhamento e Controle de Avaliação de Aprendizado em Plataforma de Ensino Virtual
Os ambientes virtuais de ensino proporcionam uma alternativa para a modalidade à distância. E isso notabilizou-se nesse período de pandemia e isolamento social. O desafio, entretanto, está na

References

SHOWING 1-10 OF 52 REFERENCES
Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms
TLDR
A visual analytics system to analyze student learning behaviors on a K-12 mathematics E-learning platform and can better guide the design of learning resources and facilitate quick interpretation of students' problem-solving and learning styles is proposed.
Automated Online Exam Proctoring
TLDR
A multimedia analytics system that performs automatic online exam proctoring and collects multimedia (audio and visual) data from subjects performing various types of cheating while taking online exams is presented.
QLens: Visual Analytics of MUlti-step Problem-solving Behaviors for Improving Question Design
TLDR
A visual analytics system, QLens, is presented to help question designers inspect detailed problem-solving trajectories, compare different student groups, distill insights for design improvements and conduct three case studies and three expert interviews to demonstrate the usefulness of QLens on real-world datasets that consist of thousands of problem-Solving traces.
Monitoring Online Tests through Data Visualization
TLDR
An approach and a system to let tutors monitor several important aspects related to online tests, such as learner behavior and test quality and the discovery of behavioral patterns of learners and conceptual relationships among test items is presented.
Predicting student performance in interactive online question pools using mouse interaction features
TLDR
This paper proposes a novel approach to boost student performance prediction in interactive online question pools by further considering student interaction features and the similarity between questions, and introduces new features based on student mouse movement trajectories to delineate students' problem-solving details.
EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos
TLDR
EmpirCues, a visual analytics system to easily analyze classroom videos from the perspective of emotion summary and detailed analysis, which integrates emotion recognition algorithms with visualizations is proposed.
Student Equity: Discouraging Cheating in Online Courses.
As online programs at conventional universities continue to expand, administrators and faculty face new challenges. Academic dishonesty is nothing new, but an online testing environment requires
Massive Open Online Proctor: Protecting the Credibility of MOOCs certificates
TLDR
This paper proposes a Massive Open Online Proctoring (MOOP) framework, which combines both automatic and collaborative approaches to detect cheating behaviors in online tests and shows that ACD and PCD can detect usage of a cheat sheet with good accuracy and can reduce the overall human resources required to monitor MOOCs for cheating.
Multimodal Analysis of Video Collections: Visual Exploration of Presentation Techniques in TED Talks
  • Aoyu Wu, Huamin Qu
  • Computer Science
    IEEE Transactions on Visualization and Computer Graphics
  • 2020
TLDR
A visual analytic system to analyze multimodal content in video collections features three views at different levels: the Projection view with novel glyphs to facilitate cluster analysis regarding presentation styles; the Comparison View to present temporal distribution and concurrences of presentation techniques and support intra-cluster analysis.
Faculty perceptions about e-cheating during online testing
In this paper, the researcher addresses some of the issues presented in the literature about assessing students online. Particularly included in this text are concerns about academic dishonesty
...
...