Academic integrity has depended on one fundamental principle: students should submit work that genuinely reflects their own understanding, learning and effort. While traditional forms of misconduct such as plagiarism remain a concern, the rapid adoption of AI tools has introduced new challenges for educators and universities.<\/p>\n
Among the most significant are contract cheating<\/strong> and AI ghostwriting<\/strong>. Both result in students submitting work that is not entirely their own, they differ in how the work is produced and the challenges they present for institutions.<\/p>\n Understanding these practices is essential for developing policies that promote responsible AI use, encourage student ownership, and preserve the value of academic qualifications.<\/p>\n Contract cheating occurs when a student asks another person to complete academic work on their behalf. This may involve paying commercial essay-writing services, hiring freelancers, asking friends or family members to write assignments, or outsourcing projects through online platforms.<\/p>\n Unlike plagiarism, where copied material may be identifiable, contract cheating often results in original content written specifically for the student. Because the work is unique, traditional plagiarism detection tools may not identify it.<\/p>\n Example:<\/strong><\/mark><\/p>\n A student hires an online service to complete a research paper and submits it under their own name without contributing to the research or writing process.<\/p>\n AI ghostwriting refers to the use of AI tools to create few segments or entire assignment that is then submitted further to educators.<\/p>\n Students may ask AI systems to draft essays, solve case studies, summarize research, humanize it or answer assignment questions with little or no meaningful revision.<\/p>\n Unlike responsible AI-assisted writing, where students actively develop, review, and refine their work, AI ghostwriting replaces much of the student’s intellectual contribution.<\/p>\n Example:<\/strong><\/mark><\/p>\n A student enters the assignment prompt into an AI tool, copies the generated essay with minimal edits, and submits it without verifying facts or acknowledging AI assistance.<\/p>\n Although both practices raise academic integrity concerns, they differ in several important ways.<\/p>\n Both practices reduce opportunities for genuine learning and make it difficult for educators to accurately assess student understanding.<\/p>\n Several factors contribute to the growth of contract cheating and AI ghostwriting.<\/p>\n Essay-writing services and AI tools are easier to access than ever before. Students can obtain completed assignments within minutes or commission custom work through online platforms.<\/p>\n Deadlines, workload, and performance expectations can lead students to seek shortcuts when they feel overwhelmed.<\/p>\n As AI technologies evolve, students may be uncertain about acceptable and unacceptable uses of AI. Without clear policies, some may unintentionally cross academic integrity boundaries.<\/p>\n Students who struggle with writing, language proficiency, or research skills may view outsourcing or AI-generated content as a solution instead of seeking academic support.<\/p>\n The impact extends beyond individual assignments.<\/p>\n Assessments are designed to measure student learning. When work is completed by someone or something else, educators cannot accurately evaluate knowledge or skills.<\/p>\n Research, critical thinking, problem-solving, and communication skills develop through active participation. Outsourcing academic work reduces opportunities to build these essential competencies.<\/p>\n Academic integrity relies on trust between students, educators, and institutions. When authorship is uncertain, confidence in assessment outcomes and qualifications may be affected.<\/p>\n Students who complete their work honestly may be disadvantaged when others receive similar grades despite contributing significantly less effort.<\/p>\n Traditionally, institutions have focused on reviewing completed assignments. However, AI-assisted work has highlighted the importance of understanding how<\/strong> an assignment was developed not just its final form.<\/p>\n The writing process often provides valuable context that a finished document cannot.<\/p>\n Examples of useful process signals include:<\/mark><\/p>\n These signals should not be viewed as proof of misconduct. Instead, they provide additional context that helps educators make informed academic integrity decisions.<\/p>\n Solutions such as DocuMark<\/strong><\/a> provide visibility into writing history, revisions, and student engagement throughout the assignment process, enabling institutions to understand how work evolves rather than relying solely on the final submission.<\/p>\n Preventing contract cheating and AI ghostwriting<\/strong><\/p>\n Addressing these challenges requires a balanced approach that combines policy, education, and transparency.<\/p>\n Institutions<\/strong> can strengthen academic integrity by:<\/p>\n Rather than focusing only on identifying misconduct, institutions can create learning environments that reduce the motivation to outsource academic work.<\/p>\n Supporting evidence-based academic integrity<\/strong><\/p>\n As AI becomes a regular part of education, academic integrity practices must evolve alongside it. Reviewing only the final submission may not always provide enough context to understand authorship or student engagement.<\/p>\n By considering the writing journey alongside the completed assignment, educators can have more informed conversations about learning, responsibility, and appropriate AI use.<\/p>\nWhat is contract cheating?<\/strong><\/h2>\n
What is AI ghostwriting?<\/strong><\/h2>\n
Contract cheating vs. AI ghostwriting<\/strong><\/h2>\n
\n\n
\n Contract Cheating<\/strong><\/td>\n AI Ghostwriting<\/strong><\/td>\n<\/tr>\n \n Work is completed by another person.<\/td>\n Work is generated primarily by AI.<\/td>\n<\/tr>\n \n Often involves paid third-party services or individuals.<\/td>\n Often involves publicly available AI tools.<\/td>\n<\/tr>\n \n Produces original content written for one student.<\/td>\n Produces AI-generated content that may require human review and verification.<\/td>\n<\/tr>\n \n Student has little or no involvement in creating the work.<\/td>\n Student involvement can range from minimal editing to complete reliance on AI-generated text.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Why are these practices increasing?<\/strong><\/h2>\n
Increased accessibility<\/strong><\/h3>\n
Academic pressure<\/strong><\/h3>\n
Unclear institutional guidance<\/strong><\/h3>\n
Lack of confidence<\/strong><\/h3>\n
How contract cheating and AI ghostwriting affect academic integrity<\/strong><\/h2>\n
They undermine authentic assessment<\/strong><\/h3>\n
They limit skill development<\/strong><\/h3>\n
They weaken trust<\/strong><\/h3>\n
They create fairness concerns<\/strong><\/h3>\n
Looking beyond the final submission<\/strong><\/h3>\n
\n
\n