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Academic dishonesty and trustworthy assessment in online learning: A systematic literature review
Background Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental
issues in the context of an online assessment. However, little systematic work currently …
issues in the context of an online assessment. However, little systematic work currently …
A systematic review of academic dishonesty in online learning environments
FK Chiang, D Zhu, W Yu - Journal of Computer Assisted …, 2022 - Wiley Online Library
Background During the COVID‐19 pandemic, online learning has played an increasingly
crucial role in the educational system. Academic dishonesty (AD) in online learning is a …
crucial role in the educational system. Academic dishonesty (AD) in online learning is a …
A systematic literature review on online assessment security: Current challenges and integrity strategies
Assessment is an integral part of online education, much like traditional classroom
education. During the online assessment, evaluation of the learning outcomes presents …
education. During the online assessment, evaluation of the learning outcomes presents …
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond
Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …
environments to understand and enhance learning. Although measurement is a central …
Student success prediction in MOOCs
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …
critical component of effective content personalization and adaptive interventions. In this …
Prediction of student performance in massive open online courses using deep learning system based on learning behaviors
Massive open online courses (MOOCs) provide numerous open-access learning resources
and allow for self-directed learning. The application of big data and artificial intelligence (AI) …
and allow for self-directed learning. The application of big data and artificial intelligence (AI) …
On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
Empowering teachers with AI: Co-designing a learning analytics tool for personalized instruction in the science classroom
AI-powered educational technology that is designed to support teachers in providing
personalized instruction can enhance their ability to address the needs of individual …
personalized instruction can enhance their ability to address the needs of individual …
A systematic review of the effects of automatic scoring and automatic feedback in educational settings
Automatic scoring and feedback tools have become critical components of online learning
proliferation. These tools range from multiple-choice questions to grading essays using …
proliferation. These tools range from multiple-choice questions to grading essays using …
A systematic meta-review and analysis of learning analytics research
As an emerging field of research, learning analytics (LA) offers practitioners and researchers
information about educational data that is helpful for supporting decisions in management of …
information about educational data that is helpful for supporting decisions in management of …