The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning
Open accessAbstract
With the diversification of generative artificial intelligence (AI) applications, the interest in their use in every segment and field of society in recent years has been increasing rapidly. One of these areas is programming learning and program writing processes. One of the generative AI tools used for this purpose is ChatGPT. The use of ChatGPT in program writing processes has become widespread, and this tool has a certain potential in the programming process. However, when the literature is examined, research results related to using ChatGPT for this purpose have yet to be found. The existing literature has a gap that requires exploration. This study aims to analyze the students' perspectives on using ChatGPT in the field of programming and programming learning. The study encompassed a cohort of 41 undergraduate students enrolled in a public university's Computer Technology and Information Systems department. The research was carried out within the scope of the Object-Oriented Programming II course for eight weeks. Throughout the research process, students were given project assignments related to the course every week, and they were asked to use ChatGPT while solving them. The research data was collected using a form consisting of open-ended questions and analyzed through content analysis. The research findings revealed both the advantages and disadvantages of ChatGPT usage, as perceived by the students. The students stated that the main benefits of using ChatGPT in programming learning are providing fast and mostly correct answers to questions, improving thinking skills, facilitating debugging, and increasing self-confidence. On the other hand, the main limitations of using ChatGPT in programming education were getting students used to laziness, being unable to answer some questions, or giving incomplete/incorrect answers, causing professional anxiety in students. Based on the results of the research, it can be said that it would be useful to integrate generative AI tools into programming courses considering the advantages they provide in programming teaching. However, appropriate measures should be taken regarding the limitations it brings. Based on the research findings, several recommendations were proposed regarding the integration of ChatGPT into lessons.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Even these studies provide contradictory evidence on whether ChatGPT is helpful or harmful for students.”
From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Yilmaz & Yilmaz, 2023a
In the citing paper
“Issues related to identity also arise, as reported by Yilmaz and Karaoglan Yilmaz (2023): students lack confidence in their own academic merit when AI handles high-level cognitive processes.”
From Mapping the impact of generative AI in higher education: A scoping review of psychological and equity dimensions. (2026) · cites this paper as Yilmaz and Karaoglan Yilmaz (2023)
Citations
Cites
Qualitative Data Analysis: An Expanded Sourcebook
(1994) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80231-2 · Cited by 48,420
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023) · ACM Computing Surveys · doi:10.1145/3560815 · Cited by 4,361
Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2021) · arXiv · doi:10.48550/arxiv.2107.13586 · Cited by 4,352
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Lo, C. K. (2023) · Education Sciences · doi:10.3390/educsci13040410 · Cited by 2,024
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003
ChatGPT for Education and Research: Opportunities, Threats, and Strategies
Rahman, M. M., & Watanobe, Y. (2023) · Applied Sciences · doi:10.3390/app13095783 · Cited by 1,080
Wang, B., Rau, P.-L. P., & Yuan, T. (2023) · Behaviour & Information Technology · doi:10.1080/0144929x.2022.2072768 · Cited by 1,036
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reynolds, L., & McDonell, K. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411763.3451760 · Cited by 952
Research works printed but not linked: 2
- Agbo, 2019, November). A systematic review of computational thinking approach for programming education in higher education institutions, 1
- Zinovieva, 2021, March). The use of online coding platforms as additional distance tools in programming education, Vol. 1840
Cited by
Sorted by citations
Items 101–200 of 346
Shumeiko, N., & Osadcha, K. (2024) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/2871/1/012027 · Cited by 14
Advanced large language models and visualization tools for data analytics learning
Valverde-Rebaza, J., González, A., Navarro-Hinojosa, O., & Noguez, J. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1418006 · Cited by 22
ChatGPT in Data Visualization Education: A Student Perspective
Kim, N. W., Ko, H.-K., Myers, G., & Bach, B. (2024) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc60511.2024.00022 · Cited by 28
Exploring the AI–Human Interface for Personalized Learning in a Chemical Context
Clark, T. M., & Tafini, N. (2024) · Journal of Chemical Education · doi:10.1021/acs.jchemed.4c00967 · Cited by 16
Zhang, H., & Wang, Q. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00544-y · Cited by 19
He, S., & Lu, Y. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2415444 · Cited by 19
Chen, X., Jia, B., Peng, X., Zhao, H., Yao, J., Wang, Z., & Zhu, S. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13471-2 · Cited by 14
Abbas, M., Khan, T. I., & Jam, F. A. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09659-3 · Cited by 15
Li, C., & Lyu, B. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13612 · Cited by 24
Doctoral Programme in Education Science Universitas Pendidikan Ganesha, S., & Turmuzi, M. (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.5.2097 · Cited by 18
Li, C., Xing, W., Song, Y., & Lyu, B. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100338 · Cited by 22
Thway, M., Recatala‐Gomez, J., Lim, F. S., Hippalgaonkar, K., & Ng, L. W. T. (2025) · Journal of Chemical Education · doi:10.1021/acs.jchemed.5c00113 · Cited by 36
Wang, Z., Zou, D., Zhang, R., Lee, L., Xie, H., & Wang, F. L. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2559919 · Cited by 18
GPT vs. Google: A comparative study of self-code learning in ODL students
Fırat, M., & Kuleli, S. (2024) · Journal of Educational Technology and Online Learning · doi:10.31681/jetol.1508675 · Cited by 13
Artificial Intelligence Anxiety: Psychometric Properties and a Mediation Model
Salimi, S., Dastjerdi, M. M., & Javaheri, A. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2457183 · Cited by 13
Unleashing the potential: how ChatGPT improves gisting skills in student interpreters
Zou, D., Zhang, H., Zhao, Y., & Xu, P. (2025) · The Interpreter and Translator Trainer · doi:10.1080/1750399x.2025.2507540 · Cited by 20
Zhang, L., Jiang, Q., Xiong, W., & Zhao, W. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251333874 · Cited by 15
Tang, B., Liang, J., Hu, W., & Luo, H. (2025) · Systems · doi:10.3390/systems13070555 · Cited by 17
Fostering programming skill and critical thinking through AI-assisted PBL integration
Omeh, C. B., Ayanwale, M. A., Mnguni, L. E., & Olelewe, C. J. (2025) · Journal of New Approaches in Educational Research · doi:10.1007/s44322-025-00041-0 · Cited by 12
Zhu, M., & Zhang, K. (2025) · Technology, Knowledge and Learning · doi:10.1007/s10758-025-09859-1 · Cited by 13
Pirzado, F. A., Ahmed, A., Alipour, M. A., & Terashima‐Marín, H. (2025) · Journal of Computers in Education · doi:10.1007/s40692-025-00375-w · Cited by 19
Guidelines for Effective Use of ChatGPT in Introductory Programming Education
Ramabu, T. J., & Malebane, T. (2024) · IST-Africa Conference (IST-Africa) · doi:10.23919/ist-africa63983.2024.10569684 · Cited by 11
Lyu, B., Li, C., Li, H., & Xing, W. (2025) · Journal of Research on Technology in Education · doi:10.1080/15391523.2025.2511313 · Cited by 13
Assessing students’ intention to adopt generative artificial intelligence
Bouebdallah, N., & Youssef, W. A. B. (2025) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2025.100984 · Cited by 16
Chang, S., & Dao, N. D. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105470 · Cited by 13
Potencialidades do uso de Inteligência Artificial Generativa como apoio ao Ensino de Programação
da Silva, T. L., Vidotto, K. N. S., Tarouco, L. M. R., & da Silva, P. F. (2024) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/sbie.2024.242711 · Cited by 10
Zhu, M. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70013 · Cited by 12
Programming education with ChatGPT: outcomes for beginners and intermediate students
Suh, J., Lee, K., & Lee, J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13542-4 · Cited by 10
ChatGPT vs. Human Journalists: Analyzing News Summaries Through BERTScore and Moderation Standards
Kim, H.-S., Kang, J.-W., & Choi, S. (2025) · Electronics · doi:10.3390/electronics14112115 · Cited by 12
Hu, W., Gong, R., Wu, S., & Li, Y. (2025) · Educational Technology Research and Development · doi:10.1007/s11423-025-10526-6 · Cited by 13
Murniarti, E., & Siahaan, G. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1606044 · Cited by 12
Content-Focused Formative Feedback Combining Achievement, Qualitative and Learning Analytics Data
Martínez, M. C., Serra, R., Sundaramoorthy, P., Booij, T. B. N., Vertegaal, C. J. C., Bounik, Z., Hastenberg, K. A. P. V., & Bentum, M. (2023) · Education Sciences · doi:10.3390/educsci13101014 · Cited by 10
Pooryousef, V., Cordeil, M., Besançon, L., Bassed, R., & Dwyer, T. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456212 · Cited by 12
Liao, M., Zhu, K., & Wang, G. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1288503 · Cited by 17
Korpimies, K., Laaksonen, A., & Luukkainen, M. (2024) · Koli Calling International Conference on Computing Education Research · doi:10.1145/3699538.3699541 · Cited by 11
Iqbal, M. F., Zafar, A., Khalil, U., & Ishaq, A. (2024) · International Journal of Data Informatics and Intelligent Computing · doi:10.59461/ijdiic.v3i4.145 · Cited by 9
Exploring the Adoption of Generative AI Tools in Computer Science Education: A Student Survey
Schefer-Wenzl, S., Vogl, C., Peiris, S., & Miladinović, I. (2024) · International Conference on Education Technology and Computer · doi:10.1145/3702163.3702188 · Cited by 11
Fan, H., Zhou, C., Yu, H., Wu, X., Gu, J., & Peng, Z. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714111 · Cited by 9
Augmented reality and robotics in education: A systematic literature review
Pasalidou, C., Lytridis, C., Tsinakos, A. A., & Fachantidis, N. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100157 · Cited by 17
Exploring the Drivers and Outcomes of Generative AI Usage: The Role of Metacognition
Lee, Y., Ahn, H., & Jo, H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2526592 · Cited by 9
Exploring students’ perceptions of generative AI-generated feedback in learning programming
Khor, E. T., Chan, L., Koh, E., & Seow, P. (2025) · Educational Psychology · doi:10.1080/01443410.2025.2564894 · Cited by 9
Omeh, C. B., & Ayanwale, M. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1674320 · Cited by 9
Large Language Models (LLMs) in Programming Learning: The Current Research State and Agenda
Fu, Q., Zhao, Y., Jia, Z., & Zheng, Y. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3622043 · Cited by 11
Stoyanova, D., Stoyanova-Petrova, S. V., Shotarova, S., Lyubomirov, S. Y., & Mileva, N. S. (2025) · Education Sciences · doi:10.3390/educsci16010019 · Cited by 13
Sun, D., Zheng, Y., Xu, J., & Yang, Z. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70210 · Cited by 10
Raghu Raman, R., Achuthan, K., & Nedungadi, P. (2026) · Information · doi:10.3390/info17030241 · Cited by 19
Creativity and Generative AI for Preservice Teachers
Butler-Ulrich, T., Hughes, J., & Morrison, L. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1007517 · Cited by 10
Human-AI Collaboration in a Student Discussion Forum
Laney, M., & Dewan, P. (2024) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3640544.3645215 · Cited by 8
PerVRML: ChatGPT-Driven Personalized VR Environments for Machine Learning Education
Gao, H., Xie, Y., & Kasneci, E. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2504188 · Cited by 9
Improving biology learning in high school with ChatGPT: A case study in Morocco
Baroud, S., Alaoui, M. E., Janati‐Idrissi, R., Boucetta, N., Ghariz, G., & Seghir, H. (2025) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/16606 · Cited by 10
Promoting Interdisciplinary Learning With Generative AI Through Self‐Regulated Scaffolding
Xia, Q., Yang, Y., Wang, W., & Yin, H. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70214 · Cited by 11
Perera, K. G. D. K., Wijayanayake, J. I., & Prasadika, J. (2024) · International Conference on Advanced Research in Computing (ICARC) · doi:10.1109/icarc61713.2024.10499744 · Cited by 9
Kotsis, K. Τ. (2025) · European Journal of Contemporary Education and E-Learning · doi:10.59324/ejceel.2025.3(3).14 · Cited by 7
Hsu, H.-P. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2543113 · Cited by 6
Albaloul, O., & Killian, C. M. (2026) · Education and Information Technologies · doi:10.1007/s10639-025-13873-2 · Cited by 7
Bridging the Theory-Practice Gap in a Maintenance Programming Course: An Experience Report
Ouhbi, S. (2024) · IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET) · doi:10.1145/3639474.3640062 · Cited by 6
Exploring the Role of ChatGPT in Science Education for Asia-Pacific and Beyond: a Systematic Review
Park, H. K., & Martin, S. N. (2024) · Asia-Pacific Science Education · doi:10.1163/23641177-bja10079 · Cited by 9
George, S. D., & Dewan, P. (2024) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3640544.3645234 · Cited by 10
Zhang, H., & Li, M. (2024) · 2024 4th International Conference on Educational Technology (ICET) · doi:10.1109/icet62460.2024.10869172 · Cited by 5
Zhao, L., Xu, Y., Zhou, S.-K., & Ping, W. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2498486 · Cited by 6
The R5E pattern: can artificial intelligence enhance programming skills development?
Abouelenein, Y. A. M., Ghazala, A. F. A., Mahdy, E. M. M., & Khalaf, M. H. R. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13616-3 · Cited by 11
Maia, S. M., & Sarkis, L. C. (2025) · Anais do Workshop sobre Educação em Computação (WEI) · doi:10.5753/wei.2025.8107 · Cited by 5
Durak, G., Çankaya, S., Esinbay, E., Yaman, H. E., Can, S., Özdemir, D., İkizler, Z., & İncemen, S. (2025) · International Journal of Technology and Design Education · doi:10.1007/s10798-025-10025-y · Cited by 6
The early wave of ChatGPT research: A review and future agenda
Busch, P. A., Hausvik, G. I., & Nielsen, J. A. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100213 · Cited by 9
Hacıalioğlu, N., Şeker, E. B., & Kaya, F. (2025) · BMC Psychology · doi:10.1186/s40359-025-03467-5 · Cited by 6
Zhuo, Z., Li, D. Y., Chen, J., Chen, X., & Wang, S. (2025) · Systems · doi:10.3390/systems14010007 · Cited by 5
Eğitim Alanında Yapay Zekâ Uygulamaları: Lisansüstü Tezlerin Sistematik İncelemesi
Üstün, A. B. (2024) · Bilgi ve İletişim Teknolojileri Dergisi · doi:10.53694/bited.1593139 · Cited by 5
Šumak, B., Pušnik, M., Kožuh, I., Šorgo, A., & Brdnik, S. (2025) · Applied Sciences · doi:10.3390/app15020631 · Cited by 6
Pirzado, F. A., Ahmed, A., Hussain, S., Ibarra-Vázquez, G., & Terashima‐Marín, H. (2025) · Education Sciences · doi:10.3390/educsci15030344 · Cited by 23
Radhwan, M. G. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-7332-3.ch007 · Cited by 6
Does the Improvement in AI Tools Necessitate a Different Approach to Engineering Education?
Hauge, J. B., & Jeong, Y. (2024) · Advances in transdisciplinary engineering · doi:10.3233/atde240211 · Cited by 6
AI vs. Human Programmers: Complexity and Performance in Code Generation
Azeem, S., Naveed, M. S., Sajid, M., & Ali, I. (2025) · VAWKUM Transactions on Computer Sciences · doi:10.21015/vtcs.v13i1.2043 · Cited by 6
Enhancing Searching as Learning (SAL) with Generative Artificial Intelligence: A Literature Review
Lim, K. K., & Lee, C. S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-61953-3_17 · Cited by 7
Ni, W., & Li, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1856854 · Cited by 6
Behmanush, H., Akhtari, F., Nooripour, R., Weber, I., & Cannanure, V. (2025) · The Compass · doi:10.1145/3715335.3735479 · Cited by 6
Xu, J., Sun, D., Feng, Y., Shadiev, R., & Li, Y. (2026) · International Journal of STEM Education · doi:10.1186/s40594-026-00606-1 · Cited by 6
Advantages and Disadvantages of Chatgpt in Science Learning: A Systematic Literature Review
Asmiddin, A. M., Nurhuda, P., & Megawati, R. (2023) · Jurnal Penelitian Pendidikan IPA · doi:10.29303/jppipa.v9i12.6576 · Cited by 6
Designing a Programming Course Model Using AI-Based Pair Programming Techniques
Hwang, H., & Lee, J. (2025) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2025.28.2.002 · Cited by 4
Xin, B.-G., Zhang, C., & Peng, W. (2025) · International journal of human computer interactions · doi:10.1080/10447318.2025.2565399 · Cited by 5
McGowan, A., Anderson, N., & Smith, C. (2024) · Cognitive Models and Artificial Intelligence Conference (AICCONF) · doi:10.1145/3660853.3660863 · Cited by 4
Advances in large language models: ChatGPT expands the horizons of neuroscience
Arachchige, A. S. P. M., Chebaro, K., & Jelmoni, A. J. M. (2023) · STEM Education · doi:10.3934/steme.2023016 · Cited by 4
Development and Validation of Generative Artificial Intelligence Attitude Scale for StudentsPreprint
Yılmaz, F. G. K., Marengo, A., Yılmaz, R., & Ceylan, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4791135 · Cited by 4
Tudy, R. A., Chin, C. K., Gabales, B., & Tudy, I. (2025) · The Palawan Scientist · doi:10.69721/tps.j.2025.17.2.02 · Cited by 4
Tran, H. V., Phuong, L. V. T., Cong, Q. N., & Tam, N. T. L. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2511238 · Cited by 3
Chen, P., Huang, Y., Wu, T., & Lee, H. (2024) · International Conference on Modern Educational Technology (ICMET) · doi:10.1145/3729434.3729435 · Cited by 4
A Model for Computational Thinking Development in GeoGebra with the Support of ChatGPT
Yunianto, W., Galiç, S., Lavicza, Z., & Urhan, S. (2025) · Computers in the Schools · doi:10.1080/07380569.2025.2544062 · Cited by 5
Understanding higher education students’ reluctance to adopt GenAI in learning in Latvia and Ukraine
Prohorovs, A., Užule, K., & Tsaryk, O. (2026) · Frontiers in Education · doi:10.3389/feduc.2025.1676900 · Cited by 6
ÖZGÜL, E. (2026) · Kastamonu Eğitim Dergisi · doi:10.24106/kefdergi.1878122 · Cited by 3
Hybrid Intelligence Feedback: A Model Proposal and Preliminary Study
Coşkun, A., & Er, E. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70212 · Cited by 3
Akbari, M., Farkhani, S. M., Golmohammadi, M., Mirjalili, M., Yasaghi, F., Hatampour, R., & Griffiths, M. D. (2026) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-026-01671-x · Cited by 3
Gezgin, D. M., Mert, S., Kesici, A. İ., & Yıldırım, S. (2024) · Sakarya University Journal of Education · doi:10.19126/suje.1426980 · Cited by 4
How I Learned to Stop Worrying and Love ChatGPT
Przymus, P., Fejzer, M., Narębski, J., & Stencel, K. (2024) · International Conference on Mining Software Repositories (MSR) · doi:10.1145/3643991.3645073 · Cited by 4
Comparing the effectiveness of ChatGPT and Google Search in assisting learners to solve problems
Hu, C., Yuadi, I., Chen, M., & Huang, H.-C. (2024) · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · doi:10.1109/icce-taiwan62264.2024.10674491 · Cited by 3
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field
Luo, X., O'Connell, S., & Mithun, S. (2025) · IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CI-NLPSoMe) · doi:10.1109/ci-nlpsomecompanion65206.2025.10977933 · Cited by 7
Shrestha, S., & Yi, J. (2026) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-026-09747-0 · Cited by 10
XXV IUFRO World Congress: Forest Research and Cooperation for Sustainable
Brasileira, P. F. (2019) · Pesquisa Florestal Brasileira · doi:10.4336/2019.pfb.39e201902043 · Cited by 5
Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science
Jayachandran, D., Maldikar, P. S., Love, T. S., & Blum, J. J. (2024) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v3i1.31262 · Cited by 3
Hernandez, A. A., Albina, E. M., & Caballero, A. R. (2025) · International Symposium on Computer, Consumer and Control · doi:10.1109/is3c65361.2025.11131023 · Cited by 7
Helgert, A., Weis, L., & Straßmann, C. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720278 · Cited by 2
Mwaniki, S., Araka, E., Kituku, B., & Maina, E. M. (2025) · IST-Africa Conference (IST-Africa) · doi:10.23919/ist-africa67297.2025.11060553 · Cited by 2
Metadata
- Authors
- Yilmaz, R., & Karaoglan Yilmaz, F. G.
- ORCID
- Yilmaz, Ramazan
- Venue
- Computers in Human Behavior: Artificial Humans
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 1
- Issue
- 2
- Pages
- 100005
- ISSN
- 2949-8821 (ISSN-L)
- OpenAlex
- W4384461076
- Cited by
- 344
- References
- 48
- Citations by year
- 2026: 94 · 2025: 130 · 2024: 103 · 2023: 16
- FWCI
- 78.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Artificial Humans (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- ChatGPT, generative AI, programming education, student perceptions, augmented intelligence, object-oriented programming, debugging, professional anxiety, AI-assisted programming, computer science undergraduates
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review