هدف: ورود هوش مصنوعی (AI) به آموزش، علیرغم فرصتهای گستردۀ آن برای ارتقای یاددهی-یادگیری، چالشهایی اساسی را در حفظ صداقت تحصیلی ایجاد کرده است. هدف پژوهش حاضر، شناسایی نظاممند چالشهای ناشی از هوش مصنوعی برای صداقت تحصیلی، بررسی عوامل مؤثر و مداخلات آموزشی مقابلهای است. روش: پژوهش از نوع مرور نظاممند و بر اساس مدل PRISMA انجام شد. بدین منظور، پایگاه داده Scopus با رشتههای جستجوی مرتبط با «هوش مصنوعی»، «بیصداقتی تحصیلی»، «آموزش رسمی» و «مداخله» بررسی گردید. از مجموع ۳۲۲ مقاله شناساییشده، پس از غربالگری و ارزیابی متن کامل، ۳۳ مقاله تجربی واجد شرایط وارد فرایند کُدگذاری و تحلیل محتوا شدند. یافته ها: یافتهها نشان دادند که چالشهای بیصداقتی تحصیلی در عصر هوش مصنوعی در پنج دستۀ اصلی طبقهبندی میشوند: ۱) ابهام سیاستی، ۲) ضعف ابزارها و دشواری تشخیص، ۳) وابستگی افراطی به هوش مصنوعی، ۴) تهدید عدالت و اعتماد آموزشی، و ۵) اُفت کیفیت یادگیری. در مقابل، مداخلات معلمان و اساتید شامل بازطراحی ارزشیابی و تکالیف، آموزش و توانمندسازی اخلاقی و مهارتی، یکپارچهسازی مسئولانه هوش مصنوعی، افزایش تعاملات انسانی، راهبردهای تشخیص، شفافسازی سیاستها، و پیشگیری و تنبیه گزارش شد. نتیجه گیری: درنتیجه، پژوهش بیانگر آن است که برای حفظ صداقت تحصیلی در عصر هوش مصنوعی، بازتعریف نقش معلم، توسعۀ سواد اخلاقی فناورانه و سیاستگذاری نهادی یکپارچه ضروری است.
رجبیان، م.، و درتاج، ف. (1404). تاثیر ارزشیابی بازی وارسازی شده مبتنی بر AI بر یادگیری خودجهت دهی و خودکارآمدی خلاق دانشجویان. پژوهش در نظامهای آموزشی، 19(68)، 88-71.https://doi.org/10.22034/jiera.2025.515638.3311
Adelhardt, Z., & Eberle, T. (2025). Compliance and Enforcement of ai Text Generator Usage Policies in German Grammar Schools: Insights from Teenagers. International Journal of Information and Education Technology, 15(2), 206-211. https://doi.org/10.18178/ijiet.2025.15.2.2233
Alharbi, W. (2024). Mind the Gap, Please! Addressing the Mismatch Between Teacher Awareness and Student ai Adoption in Language Education within Higher Education. International Journal of Computer-Assisted Language Learning and Teaching, 14(1), 1-28. https://doi.org/10.4018/IJCALLT.351245
Alhur, A. A., Khlaif, Z. N., Hamamra, B., & Hussein, E. (2025). Paradox of AI in higher education: qualitative inquiry into ai dependency among educators in Palestine. JMIR Medical Education, 11, e74947. https://doi.org/10.2196/74947 .
Al-Jaghoub, S., Al-Qora’n, L. F., Al-Odat, A. M., & Alheet, A. F. (2025). Educators’ Perceptions on Artificial Intelligence in Higher Education: Insights from the Jordanian Higher Education. International Journal of Information and Education Technology, 15(4), 716-731. https://doi.org/10.18178/ijiet.2025.15.4.2278
Alkaabi, M. H., & Almaamari, A. S. (2025). Generative AI implementation and assessment in Arabic language teaching. International Journal of Online Pedagogy and Course Design, 15(1). https://doi.org/10.4018/IJOPCD.368037
An, Y., Yu, J. H., & James, S. (2025). Investigating the higher education institutions’ guidelines and policies regarding the use of generative ai in teaching, learning, research, and administration. International Journal of Educational Technology in Higher Education,22(1), 1-23. https://doi.org/10.1186/s41239-025-00507-3
Awadallah Alkouk, W., & Khlaif, Z. N. (2024). AI-resistant assessments in higher education: practical insights from faculty training workshops. Frontiers in Education, 9, 1-9. e1499495. https://doi.org/10.3389/feduc.2024.1499495
Balalle, H., & Pannilage, S. (2025). Reassessing academic integrity in the age of AI: A systematic literature review on AI and academic integrity. Social Sciences & Humanities Open, 11, 1-12. e101299. https://doi.org/10.1016/j.ssaho.2025.101299
Bannister, P., Urbieta, A. S., & Alvira, N. B. (2025). Appraising higher education assessment validity: Development of the PANDORA Genai Susceptibility Rubric. Journal of Applied Learning and Teaching, 8(1), 41-55. https://doi.org/10.37074/jalt.2025.8.1.20
Benke, E., & Szőke, A. (2024). Academic Integrity in the Time of Artificial Intelligence: Exploring Student Attitudes. Italian Journal of Sociology of Education, 16(2), 91-108. https://doi.org/10.14658/PUPJ-IJSE-2024-2-5
Chan, C. K. Y. (2025). Students’ perceptions of ‘AI-giarism’: Investigating changes in understandings of academic misconduct. Education and Information Technologies, 30(6), 8087-8108. https://doi.org/10.1007/s10639-024-13151-7
Cong-Lem, N., Tran, T. N., & Nguyen, T. T. (2024). Academic inegrity in the age of generative AI: Perceptions and responses of vietnamese EFL teachers. Teaching English with Technology, 24(1), 28-47. https://doi.org/10.56297/FSYB3031/MXNB7567
Costa, C., Husain-Habib, N., & Reiter, A. (2025). Integrating ai Into Education: Successful Strategies, Ideas, and Tools From Psychology Instructors. Teaching of Psychology, 52(3), 330-338. https://doi.org/10.1177/00986283241297635
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International,61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148
Črček, N., & Patekar, J. (2023). Writing with ai: University Students' Use of ChatGPT. Journal of Language and Education, 9(4), 128-138. https://doi.org/10.17323/jle.2023.17379
Delello, J. A., Sung, W., Mokhtari, K., Hebert, J., Bronson, A., & De Giuseppe, T. (2025). AI in the classroom: Insights from educators on usage, challenges, and mental health. Education Sciences, 15(2), e113. https://doi.org/10.3390/educsci15020113
Elom, C. O., Ayanwale, M. A., Ukeje, I. O., Offiah, G. A., Umoke, C. C., & Ogbonnaya, C. E. (2025). Does ai Knowledge Encourage Cheating? Investigating Student Perceptions, Ethical Engagement, and Academic Integrity in the Digital Age. International Journal of Learning, Teaching and Educational Research, 24(4), 708-729. https://doi.org/10.26803/ijlter.24.4.33
Fowler, D. S. (2023). AI in higher education: Academic integrity, harmony of insights, and recommendations. Journal of Ethics in Higher Education, 3, 127-143. https://doi.org/10.26034/fr.jehe.2023.4657
Furze, L., Perkins, M., Roe, J., & MacVaugh, J. (2024). The ai Assessment Scale (aiAS) in action: A pilot implementation of Genai-supported assessment. Australasian Journal of Educational Technology, 40(4), 38-55. https://doi.org/10.14742/ajet.9434
Gammoh, L. A. (2025). ChatGPT risks in academia: Examining university educators’ challenges in Jordan. Education and Information Technologies, 30(3), 3645-3667. https://doi.org/10.1007/s10639-024-13009-y
Guillén-Gámez, F. D., Sánchez-Vega, E., Colomo-Magaña, E., & Sánchez-Rivas, E. (2025). Incident factors in the use of ChatGPT and dishonest practices as a system of academic plagiarism: the creation of a PLS-SEM model. Research and Practice in Technology Enhanced Learning, 20, e28. https://doi.org/10.58459/rptel.2025.20028
Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., ... & Pluye, P. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for information, 34(4), 285-291. https://doi.org/10.3233/EFI-180221
Hsiao, C. H., & Tang, K. Y. (2025). Beyond acceptance: an empirical investigation of technological, ethical, social, and individual determinants of Genai-supported learning in higher education. Education and Information Technologies, 30(8), 10725-10750. https://doi.org/10.1007/s10639-024-13263-0
Janinovic, J., Pekovic, S., Djokovic, R., & Vuckovic, D. (2024). Assessing the effectiveness of academic integrity institutional policies: How can honor code and severe punishments deter students’ cheating—moderating approach? Sage Open, 14(4), 1-16. https://doi.org/10.1177/21582440241307430
Jin, Y., Yan, L., Echeverria, V., Gašević, D., & Martinez-Maldonado, R. (2025). Generative ai in higher education: A global perspective of institutional adoption policies and guidelines. Computers and Education: Artificial Intelligence, 8, e100348. https://doi.org/10.1016/j.caeai.2024.100348
Kazley, A. S., Andresen, C., Mund, A., Blankenship, C., & Segal, R. (2025). Is use of ChatGPT cheating? Students of health professions perceptions. Medical Teacher, 47(5), 894-898. https://doi.org/10.1080/0142159X.2024.2385667
Khojasteh, L., Shokrpour, N., & Moslehi, S. (2025). Decision-making in decoding ai-generated content: Emotional dynamics and pedagogical strategies in English for specific purposes education. Teaching and Teacher Education, 157, e104952. https://doi.org/10.1016/j.tate.2025.104952
Kotsis, K. T. (2024). Artificial Intelligence Creates Plagiarism or Academic Research? European Journal of Arts,Humanities and Social Sciences, 1(6), 169-179. https://doi.org/10.59324/ejahss.2024.1(6).18
Larsen, S. K. (2023). Creating large language model resistant exams: guidelines and strategies. ArchivePrefix,Computation and Language, https://doi.org/10.48550/arXiv.2304.12203
Leaton Gray, S., Edsall, D., & Parapadakis, D. (2025). ai-Based Digital Cheating At University, and the Case for New Ethical Pedagogies. Journal of academic ethics, 23, 2069–2086. https://doi.org/10.1007/s10805-025-09642-y
Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative ai on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, e100221. https://doi.org/10.1016/j.caeai.2024.100221
Liu, X. (2025). Navigating Uncharted Waters: Teachers’ Perceptions of and Reactions to ai-Induced Challenges to Assessment. Asia-Pacific Education Researcher, 34(2), 711-722, e100068. https://doi.org/10.1007/s40299-024-00890-x
Luciano, R. G. (2024). The Dual Impact of ChatGPT on Learning and Ethics among Bachelor of Science in Information Technology (BSIT) Students. International Journal of Learning, Teaching and Educational Research, 23(12), 78-95. https://doi.org/10.26803/ijlter.23.12.5
Matthews, J., & Volpe, C. R. (2023). Academics’ perceptions of ChatGPT-generated written outputs: A practical application of Turing's Imitation Game. Australasian Journal of Educational Technology, 39(5), 82-100. https://doi.org/10.14742/ajet.8896
Mohammadkarimi, E. (2023). Teachers’ reflections on academic dishonesty in EFL students’ writings in the era of artificial intelligence. Journal of Applied Learning and Teaching, 6(2), 105-113. https://doi.org/10.37074/jalt.2023.6.2.10
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group, P. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Moya, B., Eaton, S. E., Pethrick, H., Hayden, K. A., Brennan, R., Wiens, J., Mcdermott, B., & Lesage, J. (2023). Academic integrity and artificial intelligence in higher education contexts: A rapid scoping review protocol. Canadian Perspectives on Academic Integrity, 5(2), 59-75. https://doi.org/10.11575/cpai.75990
Mukasa, J., Stokes, L., & Mukona, D. M. (2023). Academic dishonesty by students of bioethics at a tertiary institution in Australia: An exploratory study. International Journal for Educational Integrity, 19(1), 3, 1-15. https://doi.org/10.1007/s40979-023-00124-5
Ngoveni, M. (2025). Bridging the ai Knowledge Gap: The Urgent Need for ai Literacy and Institutional Support. International Journal of Technologies in Learning, 32(2), 83-100. https://doi.org/10.18848/2327-0144/CGP/v32i02/83-100
Perkins, M., Roe, J., Postma, D., McGaughran, J., & Hickerson, D. (2023). Game of tones: Faculty detection of GPT-4 generated content in university assessments. ArchivePrefix,Computers and Society,https://doi.org/10.48550/arXiv.2305.18081
Pratama, R., Sangka, K., & Nugroho, J. (2023). The Influence of Fraud Diamond Perspective and Artificial Intelligence Factors on Academic Dishonesty Indonesian College Student. International Journal of Multicultural and Multireligious Understanding, 10(11), 164-175. http://dx.doi.org/10.18415/ijmmu.v10i11.5248
Rajabiyan dehzireh, m., & Dortaj, f. (2025). The effect of ai-based gamified assessment on students' self-directed learning and creative self-efficacy. Journal of Research in Educational Systems, 19(68), 71-88. https://doi.org/10.22034/jiera.2025.515638.3311(in Persian)
Raptopoulou, A. (2025). ChatGPT in higher education: Supporting academic literacy through ChatGPT-based activities. European Journal of Education, 60(2), e70131. https://doi.org/10.1111/ejed.70131
Rasul, T., Nair, S., Kalendra, D., Balaji, M. S., de Oliveira Santini, F., Ladeira, W. J., Ahmad Rather, R., Yasin, N., Rodriguez, R. V., Kokkalis, P., Murad, W., & Hossain, U. (2024). Enhancing academic integrity among students in Genai Era: A holistic framework. The International Journal of Management Education, 22(3), e101041. https://doi.org/10.1016/j.ijme.2024.101041
Roe, J. (2022). Reconceptualizing academic dishonesty as a struggle for intersubjective recognition: A new theoretical model. Humanities and Social Sciences Communications, 9(157), 1-7. https://doi.org/10.1057/s41599-022-01182-9
Stoyanova, D., Stoyanova-Petrova, S., & Mileva, N. (2025). Exploring students’ and teachers’ perceptions about using ChatGPT in programming education. International Journal of Engineering Pedagogy, 15(2), 15-41. https://doi.org/10.3991/ijep.v15i2.50607
Tan, M. X. Y., Qu, Y., & Wang, J. (2025). Student perceptions of generative artificial intelligence regulations: A mixed-methods study of higher education in Singapore. Higher Education Quarterly, 79(3), e70038. https://doi.org/10.1111/hequ.70038
Toker, S., & Akgun, M. (2025). Reducing AI plagiarism through assessment of higher-order cognitive skills. Innovations in Education and Teaching International, 62(5), 1665-1681. https://doi.org/10.1080/14703297.2025.2514242
Tsiani, M., Lefkos, I., & Fachantidis, N. (2025). Perceptions of generative ai in education: Insights from undergraduate and master’s-level future teachers. Journal of Pedagogical Research, 9(2), 89-108. https://doi.org/10.33902/JPR.202531943
Van Wyk, M. M. (2024). Is ChatGPT an opportunity or a threat? Preventive strategies employed by academics related to a Genai-based LLM at a faculty of education. Journal of Applied Learning and Teaching, 7(1), 35-45. https://doi.org/10.37074/jalt.2024.7.1.15
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 28(11), 13943-13967. https://doi.org/10.1007/s10639-023-11742-4
Yavari, H., & Lotfi Azimi, A. (2021). The prediction of academic dishonesty based on academic engagement, achievement goals and implicit beliefs of intelligence in during pandemic Coronavirus. Journal of Research in Educational Systems, 15(52), 33-45. https://www.jiera.ir/article_131169_f78038fae7eb96b2da8fd7efaf12e2df.pdf(in Persian)
Yusuf, A., Pervin, N., & Román-González, M. (2024). Generative ai and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives. International Journal of Educational Technology in Higher Education, 21(1), e21. https://doi.org/10.1186/s41239-024-00453-6
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on ai dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 1-28. https://doi.org/10.1186/s40561-024-00316-7
نجفی, رامین. (1404). چالشهای هوش مصنوعی برای صداقت تحصیلی: یک مرور نظامند. پژوهش در نظامهای آموزشی, 19(71), 77-93. https://doi.org/10.22034/jiera.2026.567125.3424
MLA
نجفی, رامین. "چالشهای هوش مصنوعی برای صداقت تحصیلی: یک مرور نظامند", پژوهش در نظامهای آموزشی, 19, 71, 1404, 77-93. doi: 10.22034/jiera.2026.567125.3424
HARVARD
نجفی رامین. (1404). 'چالشهای هوش مصنوعی برای صداقت تحصیلی: یک مرور نظامند', پژوهش در نظامهای آموزشی, 19(71), pp. 77-93. doi: 10.22034/jiera.2026.567125.3424
CHICAGO
رامین نجفی, "چالشهای هوش مصنوعی برای صداقت تحصیلی: یک مرور نظامند," پژوهش در نظامهای آموزشی, 19 71 (1404): 77-93, doi: 10.22034/jiera.2026.567125.3424
VANCOUVER
نجفی رامین. چالشهای هوش مصنوعی برای صداقت تحصیلی: یک مرور نظامند. پژوهش در نظامهای آموزشی. 1404;19(71):77-93. doi: 10.22034/jiera.2026.567125.3424