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Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
Dilky Felsinger; Thilina Halloluwa; Ishani Fonseka – Education and Information Technologies, 2024
Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of…
Descriptors: Video Technology, Computer Assisted Testing, Supervision, Depleted Resources
Lei Jiang; Na Yu – Education and Information Technologies, 2024
This research aims to address the challenges of digital transformation in education by understanding the digital competence of teachers through a mixed-methods approach. The grounded theory is employed to develop the Teachers' Digital Competence Model (TDCM), which is structured around three facets: development, pedagogy, and ethics. Within these…
Descriptors: Educational Technology, Teacher Competencies, Technological Literacy, Ethics
Cheriguene, Anissa; Kabache, Taieb; Kerrache, Chaker Abdelaziz; Calafate, Carlos T.; Cano, Juan Carlos – Education and Information Technologies, 2022
Technology advancements promote a redefinition of traditional instructional methodologies, as well as the roles of teachers and learners towards an efficient e-learning ecosystem. To date, all existing solutions are combined with the conventional face-to-face learning process. However, the latter can be unexpectedly hindered in some emergency…
Descriptors: Web Based Instruction, Instructional Innovation, Computer Assisted Testing, Emergency Programs
Amal Iaaly; Patrick Daou; Mantoura Nakad; Rami J. Abboud – Education and Information Technologies, 2025
This paper reports on a participatory case study investigating the total shift to an electronic assessment and electronic proctoring modality in a traditional higher education academic institution in Lebanon due to the COVID-19 pandemic. It describes the novel real-time electronic assessment and proctoring system developed by the University of…
Descriptors: Supervision, COVID-19, Pandemics, Systems Approach
Murad, Dina Fitria; Heryadi, Yaya; Isa, Sani Muhamad; Budiharto, Widodo – Education and Information Technologies, 2020
The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are…
Descriptors: Automation, Online Systems, Electronic Learning, Prediction
Kharbat, Faten F.; Abu Daabes, Ajayeb S. – Education and Information Technologies, 2021
Researchers have focused on evaluating and exploring the online examination experience during the COVID-19 pandemic. However, understanding the perceptions of using an e-proctoring tool within the online examination experience is still limited. This study explores the first unique experience for students' attitudes and concerns using an…
Descriptors: Supervision, Computer Assisted Testing, COVID-19, Pandemics
Ilgaz, Hale; Afacan Adanir, Gülgün – Education and Information Technologies, 2020
Online learning has grown in popularity, leading to more widespread utilization of online exams. Online exams have started to become a preferred method of assessment in both online and traditional learning environments. They provide various benefits for the learning process and learners when used appropriately within online learning programs. The…
Descriptors: Computer Assisted Testing, Electronic Learning, Academic Achievement, College Students
Anucha Somabut; Denpong Soodphakdee; Kulthida Tuamsuk; Parama Kwangmuang – Education and Information Technologies, 2025
The COVID-19 pandemic has forced higher education institutions worldwide to rapidly transition to online learning, exposing vulnerabilities and highlighting the critical need for robust ICT infrastructure. This study investigates the readiness of network universities in upper northeastern Thailand to provide education using ICT during the COVID-19…
Descriptors: Information Technology, Technology Uses in Education, Readiness, Electronic Learning
A Hybrid Approach for Automatic Generation of Named Entity Distractors for Multiple Choice Questions
Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
Jayashankar, Shailaja; Sridaran, R. – Education and Information Technologies, 2017
Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…
Descriptors: Word Frequency, Models, Electronic Learning, Student Evaluation