Academic dishonesty and trustworthy assessment in online learning: A systematic literature review

E Surahman, TH Wang - Journal of Computer Assisted …, 2022 - Wiley Online Library
Background Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental
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 …

A systematic literature review on online assessment security: Current challenges and integrity strategies

M Garg, A Goel - Computers & Security, 2022 - Elsevier
Assessment is an integral part of online education, much like traditional classroom
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

D Gašević, S Greiff, DW Shaffer - Computers in Human Behavior, 2022 - Elsevier
Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

Student success prediction in MOOCs

J Gardner, C Brooks - User Modeling and User-Adapted Interaction, 2018 - Springer
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
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

CA Lee, JW Tzeng, NF Huang, YS Su - Educational Technology & Society, 2021 - JSTOR
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) …

On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018

A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
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 …

Empowering teachers with AI: Co-designing a learning analytics tool for personalized instruction in the science classroom

T Nazaretsky, C Bar, M Walter… - LAK22: 12th international …, 2022 - dl.acm.org
AI-powered educational technology that is designed to support teachers in providing
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

MG Hahn, SMB Navarro, LDLF Valentín… - Ieee …, 2021 - ieeexplore.ieee.org
Automatic scoring and feedback tools have become critical components of online learning
proliferation. These tools range from multiple-choice questions to grading essays using …

A systematic meta-review and analysis of learning analytics research

X Du, J Yang, BE Shelton, JL Hung… - Behaviour & information …, 2021 - Taylor & Francis
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 …