A literature review authored by Mohammad Sozon, harvested by QDR and last updated on May 4, 2026. The purpose is to identify prevalent types of cheating and plagiarism, contributing factors, and potential solutions to the problem.
Use Cases
- Identify common cheating methods based on the review of academic literature.
- Analyze contributing factors to academic misconduct based on the literature synthesis.
- Evaluate proposed solutions to plagiarism based on the compiled research findings.
Strengths
- The dataset is a structured literature review with a clear purpose stated in the description.
- The dataset was last updated on May 4, 2026, indicating recent maintenance.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- QDR Harvested Dataverse
- Collection Method
- Literature review compilation.
- Freshness
- Last updated 2026-05-04 07:14:17; freshness should be verified.