Why Do Students Engage in Academic Misconduct?
Nearly half of students have always reported engaging in academic misconduct, and the underlying reasons have largely remained unchanged. Research consistently links misconduct to high-stakes assessments that emphasize performance, lack clarity of expectations, and offer inadequate support (;). This suggests that academic misconduct arises from structural features of course design rather than individual disregard or malice toward academic integrity.
Below, we outline several of these situational factors, which can inform course and assessment design choices that can foster adherence to academic ethics.
- Students may experience anxiety if the purpose of a task, what constitutes success, or what constitutes academic misconduct is not clearly articulated.
- Students rarely receive explicit guidance about the extent to which external tools may be used or what counts as fair use.
- Lack of nuanced, ongoing class discussions can result in a lack of clarity around evolving expectations regarding academic integrity.
Instructors at the same institution often vary in how they define and enforce norms around collaboration and integrity, which may further confuse students ().
- High-stakes assessments typically form a large portion of a student's final grade, where mistakes are irreversible, and performance is prioritized.
- Pressure in these contexts may stem from course structure, cumulative deadlines, or perceived consequences of failure, and is intensified by broader labor‑market pressures and the rising cost of higher education owing to neoliberalization.
- When assessments emphasize polished final products over drafts, reflection, or documented learning processes, students may see limited payoff to persisting through struggle, particularly during time‑intensive or challenging tasks.
- In these combined conditions, academic misconduct may feel like risk management rather than deliberate rule‑breaking, especially if shortcuts allow students to complete work more efficiently and redirect time to other demands.
- Students consistently report an unmanageable workload as the most common reason for misconduct ().
- Instructors often underestimate the extent to which workload may be unmanageable or the extent to which executive functioning skills may be developing in early adult learners.
- Students may also feel underconfident and struggle with low self-efficacy (i.e., a belief that they cannot succeed at a given task), thus reducing their willingness to persist.
- If feedback or support is not timely, it can intensify stress, increasing the likelihood of using unauthorized resources for further support.
- Students unfamiliar with disciplinary norms, citation practices, or U.S. academic conventions, particularly first-generation students, may view external help as compensatory support rather than misconduct.
- Cultural differences in how collaboration, authorship and the stakes associated with assessments, may influence how international students engage with coursework (;).
- Thus, students may unintentionally engage in academic misconduct in ways that are misaligned with instructors’ expectations rather than intentionally deceptive.
- Even if expectations are clear, assessments if students do not see how they connect to course learning goals, the skills they hope to develop, or applications relevant to their interests or future careers.
- When the purpose or value of an assessment is unclear, students may be less motivated to engage deeply with the work.
- In these contexts, academic integrity requirements may be perceived as procedural rather than meaningful, increasing disengagement or the tendency to use shortcuts
- Students are more likely to engage in misconduct if their peers do so without consequences ().
- Students often perceive academic misconduct as a victimless crime, and may fail to consider how it can affect their own learning and undermine trust.
- Widespread cheating may further isolate students, if peers question their loyalty or trustworthiness for refusing to “help” or for threatening to report misconduct.
- Thus, peer dynamics can reinforce aiding misconduct even among students who otherwise value integrity.

How Does Access to Generative AI Tools Impact This Context?
AI changes the conditions around academic work, not the core motivations for misconduct. Generative AI amplifies many longstanding pressures, including time constraints, performance anxiety, and uncertainty about expectations. However, as shown above, the underlying reasons for engaging in academic misconduct have remained largely unchanged.
- AI use may substitute previous types of misconduct, such as plagiarizing directly from peers or internet sources, or collaborating without attribution
- For students lacking adequate support or experiencing cultural barriers, AI tools offer non-judgmental support at their convenience.
- The majority of students report limited use of AI, such as troubleshooting when they are stuck, for ideation, or editing for clarity) rather than to complete entire assignments (ETRA, 2026;).
- Normalization and marketing of AI tools, including integration into platforms such as Microsoft, Google, or Grammarly, can blur boundaries between acceptable and unauthorized use of AI, making misconduct feel less intentional and more situational.
- AI‑detection tools are inaccurate with well‑documented concerns related to false positives, bias, accessibility, and student trust. These limitations make it difficult to reliably identify AI‑facilitated misconduct while also undermining trust when students are misidentified.
What Does This Mean for Instructors?
The absence of clear institutional or instructional guidelines can lead students to rationalize AI use even when it is not authorized. At the same time, over‑reliance on surveillance‑based approaches is unlikely to reduce misconduct. When assessments remain high stakes with ambiguous expectations and insufficient support, AI can become a tool that students turn to, rather than intentionally misuse.
To better support academic integrity, instructors should consider:
- Fostering AI Literacy to disincentivize casual AI use
- Equity-minded course and assessment design that proactively addresses AI use
- Addressing suspected academic misconduct from a restorative justice lens
Recommended Resources:
Bertram Gallant T., Rettinger, D.A. (2025).. The University of Oklahoma Press.
ӽ紫ý ISSS. (2016, March 22).[Video]. YouTube.
International Center for Academic Integrity.
Lang, J. M. (2013).. Harvard University Press.
Rettinger, D.A., Bertram Gallant, T. (2022).. Jossey-Bass.
Shapiro, S., Farrelly, R., Tomas, Z. (2023).. TESOL Press
- Online Teaching Resources
- Teaching & Technology
- Teaching, Learning, & AI
- AI & Academic Integrity
- AI & Assessment
- AI Dialogue with Students
- AI Ethical Considerations
- AI Literacy Ambassadors Program
- AI Literacy in Teaching and Learning
- AI Syllabus Statements
- Considerations before Using AI in Teaching and Learning
- Supporting Student Learning while Reducing Overuse of Gen AI: Checklist of Evidence-based Strategies
- Teaching, Learning & AI Community of Practice (TLAI CoP)
- Teaching, Learning & AI Repository
- 2026 AI Summer Design Studio, [Re]shaping your AI Narrative.