| Title: |
Factors Influencing Bangladeshi English Teachers' Perceptions of Academic Policy, Academic Culture and Knowledge Related to Plagiarism in Higher Education |
| Language: |
English |
| Authors: |
Md. Mahadhi Hasan (ORCID 0000-0003-3921-9889); Anika Sikder (ORCID 0009-0005-1993-3331); Rashed Mahmud (ORCID 0000-0003-2586-2224) |
| Source: |
Language Teaching Research Quarterly. 2025 47:20-39. |
| Availability: |
European Knowledge Development (EUROKD). e-mail: editorial@eurokd.com; Web site: https://www.eurokd.com/journal/jd/1 |
| Peer Reviewed: |
Y |
| Page Count: |
20 |
| Publication Date: |
2025 |
| Document Type: |
Journal Articles; Reports - Research; Tests/Questionnaires |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Language Teachers; English (Second Language); Second Language Learning; Second Language Instruction; Teacher Attitudes; Teacher Surveys; College Faculty; Plagiarism; Factor Analysis; Foreign Countries; Artificial Intelligence; Computer Software; State Universities; Private Colleges; Technology Uses in Education; Identification; Writing Assignments; Ethics; Integrity; Course Descriptions; Academic Language |
| Geographic Terms: |
Bangladesh |
| ISSN: |
2667-6753 |
| Abstract: |
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A mixed-method research design has been used to answer two research questions: (1) What are the perceptions of English teachers about plagiarism at the tertiary level? and (2) What are the factors that influence these perceptions? Data were collected through a survey questionnaire administered to 128 English teachers from 25 public and private universities in Bangladesh, followed by in-depth interviews with 10 teachers involved in research supervision. Factor analysis revealed institutional negligence, lack of writing courses, absence of plagiarism policies, and infrequent use of plagiarism detection software as major drivers of plagiarism. The thematic analysis identified concerns relating to the misuse of AI tools that escalate plagiarism and make its detection difficult. Respondents expressed the need for guidelines with respect to the ethical application of AI in academic writing. Recommendations include making writing courses mandatory, including plagiarism policies in course outline, and implementing AI-specific plagiarism detection tools to strengthen the academic integrity of higher education. |
| Abstractor: |
As Provided |
| Entry Date: |
2025 |
| Accession Number: |
EJ1472530 |
| Database: |
ERIC |