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6. Promoting Academic Integrity in Remote/Online Assessment -- EFL Teachers' Perspectives

Author

Vellanki, Surya Subrahmanyam, Mond, Saadat, and Khan, Zahid Kamran

Abstract

The hasty adoption of remote teaching (RT) by educational institutes in response to the COVID-19 pandemic has drastically impacted teaching, learning, and assessment. With most institutes unprepared for sudden lockdowns, and many educators lacking online teaching and assessment experience, old methods of assessment continued to be used, at least initially. When concerns about academic integrity soon followed, new pedagogical concepts and modes were trialed in the hopes of addressing perceived inadequacies. This study, using a mixed-method design, investigates teacher-participants' perceptions of online assessment and academic integrity. It explores the challenges they believed had a detrimental effect on the latter -- technical difficulties, problems due to lack of physical presence, student behavioral issues, and concerns about assessment design and process. This study also discusses teacher-participants' suggested approaches to safeguarding against dishonesty, including modifications in design, conduct, and evaluation of quizzes and exams. Finally, it ends with teacher-participants' recommendations and suggestions for policy-level changes to help minimize the adverse effects of prolonged RT.

Published
2023

11. Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competition

Author

Koubaa, Anis, Qureshi, Basit, Ammar, Adel, Khan, Zahid, Boulila, Wadii, and Ghouti, Lahouari

Subjects
Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Computers and Society, Computer Science - Machine Learning, Computer Science - Programming Languages
Abstract

Since the release of ChatGPT, numerous studies have highlighted the remarkable performance of ChatGPT, which often rivals or even surpasses human capabilities in various tasks and domains. However, this paper presents a contrasting perspective by demonstrating an instance where human performance excels in typical tasks suited for ChatGPT, specifically in the domain of computer programming. We utilize the IEEExtreme Challenge competition as a benchmark, a prestigious, annual international programming contest encompassing a wide range of problems with different complexities. To conduct a thorough evaluation, we selected and executed a diverse set of 102 challenges, drawn from five distinct IEEExtreme editions, using three major programming languages: Python, Java, and C++. Our empirical analysis provides evidence that contrary to popular belief, human programmers maintain a competitive edge over ChatGPT in certain aspects of problem-solving within the programming context. In fact, we found that the average score obtained by ChatGPT on the set of IEEExtreme programming problems is 3.9 to 5.8 times lower than the average human score, depending on the programming language. This paper elaborates on these findings, offering critical insights into the limitations and potential areas of improvement for AI-based language models like ChatGPT., Comment: 9 pages, 3 figures

Published
2023

17. TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems

Author

Benjdira, Bilel, Koubaa, Anis, Azar, Ahmad Taher, Khan, Zahid, Ammar, Adel, and Boulila, Wadii

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Smart traffic engineering and intelligent transportation services are in increasing demand from governmental authorities to optimize traffic performance and thus reduce energy costs, increase the drivers' safety and comfort, ensure traffic laws enforcement, and detect traffic violations. In this paper, we address this challenge, and we leverage the use of Artificial Intelligence (AI) and Unmanned Aerial Vehicles (UAVs) to develop an AI-integrated video analytics framework, called TAU (Traffic Analysis from UAVs), for automated traffic analytics and understanding. Unlike previous works on traffic video analytics, we propose an automated object detection and tracking pipeline from video processing to advanced traffic understanding using high-resolution UAV images. TAU combines six main contributions. First, it proposes a pre-processing algorithm to adapt the high-resolution UAV image as input to the object detector without lowering the resolution. This ensures an excellent detection accuracy from high-quality features, particularly the small size of detected objects from UAV images. Second, it introduces an algorithm for recalibrating the vehicle coordinates to ensure that vehicles are uniquely identified and tracked across the multiple crops of the same frame. Third, it presents a speed calculation algorithm based on accumulating information from successive frames. Fourth, TAU counts the number of vehicles per traffic zone based on the Ray Tracing algorithm. Fifth, TAU has a fully independent algorithm for crossroad arbitration based on the data gathered from the different zones surrounding it. Sixth, TAU introduces a set of algorithms for extracting twenty-four types of insights from the raw data collected. The code is shared here: https://github.com/bilel-bj/TAU. Video demonstrations are provided here: https://youtu.be/wXJV0H7LviU and here: https://youtu.be/kGv0gmtVEbI., Comment: This is the final proofread version submitted to Elsevier EAAI: please see the published version at: https://doi.org/10.1016/j.engappai.2022.105095

Published
2023
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19. Author Correction: Clinical surveillance systems obscure the true cholera infection burden in an endemic region

Author

Hegde, Sonia T., Khan, Ashraful Islam, Perez-Saez, Javier, Khan, Ishtiakul Islam, Hulse, Juan Dent, Islam, Md Taufiqul, Khan, Zahid Hasan, Ahmed, Shakeel, Bertuna, Taner, Rashid, Mamunur, Rashid, Rumana, Hossain, Md Zakir, Shirin, Tahmina, Wiens, Kirsten E., Gurley, Emily S., Bhuiyan, Taufiqur Rahman, Qadri, Firdausi, and Azman, Andrew S.

Published
2024
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21. Stabilization of Clayey Soils Against Internal Erosion Using Cement-Crushed Glass Mixture

Author

Attom, Mousa F., Yamin, Mohammad M., Khan, Zahid, Eltayeb, Ahmed, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Kang, Thomas, editor, and Lee, Youngjin, editor

Published
2024
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26. POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models

Author

Ashraf, Aeyan, Malik, Asad, and Khan, Zahid

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

The novel coronavirus disease (COVID-19) constitutes a public health emergency globally. It is a deadly disease which has infected more than 230 million people worldwide. Therefore, early and unswerving detection of COVID-19 is necessary. Evidence of this virus is most commonly being tested by RT-PCR test. This test is not 100% reliable as it is known to give false positives and false negatives. Other methods like X-Ray images or CT scans show the detailed imaging of lungs and have been proven more reliable. This paper compares different deep learning models used to detect COVID-19 through transfer learning technique on CT scan dataset. VGG-16 outperforms all the other models achieving an accuracy of 85.33% on the dataset.

Published
2022
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42. Geo-environmental Solution of Using Crushed Glass Waste to Improve Shear Strength Properties of Sandy Soil

Author

Attom, Mousa, Khan, Zahid, Al Lozi, Naser, Eltayeb, Ahmed, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Yukselen-Aksoy, Yeliz, editor, Reddy, Krishna R., editor, and Agnihotri, Arvind Kumar, editor

Published
2023
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43. Synthesis and Analysis of Vital Social Sustainability Indicators Using Pareto Analysis

Author

Asjad, Mohammad, Gani, Abdul, Khan, Zahid A., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Shukla, Anoop Kumar, editor, Sharma, Bhupendra Prakash, editor, Arabkoohsar, Ahmad, editor, and Kumar, Pradeep, editor

Published
2023
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45. Fog Resource Sharing to Enable Pay-Per-Use Model

Author

Khan, Zahid, Khattak, Hasan Ali, Abbas, Assad, Khan, Samee U., Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Haas, Zygmunt J., editor, Prakash, Ravi, editor, Ammari, Habib, editor, and Wu, Weili, editor

Published
2023
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