Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring the Experiences of Contract Cheating and use of Chat GPT by Students as Encountered by University Teachers
0
Zitationen
3
Autoren
2024
Jahr
Abstract
This study's objective is to advance scholarly understanding of what is known about contract cheating in Pakistan and other nations. This study intended to raise awareness of contract cheating. This study also aims to explore teachers’ experiences regarding students’ contract cheating and their thoughts about it. This study followed qualitative paradigm using thematic analysis as its main design. Data collected from multiple universities of Punjab province Pakistan. Participants were encouraged to record an interview of minimum 40 minutes. A sample consisted of (n=20) participants both male and female. Data collected from university teachers of Pakistan who were currently serving. Sample was selected using purposive sampling technique. For this study Semi-Structured Interview was used to collect data. Thematic analysis method was used to analyze the recorded interviews and 8 super themes were generated out of that data. These eight super themes named academic misconduct, basis of contract cheating, teachers' assessing skills of contract cheating, consequences of contract cheating, effective controlling strategies of contract cheating, challenges faced by teachers, Chat GPT and the negative impact of students' contract cheating experiences on teachers' mental health.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.