Penguatan kompetensi mahasiswa melalui integrasi scite.AI dalam analisis literatur karya ilmiah

Santi Yunus, Rita Yunus, Muhammad Akbar, Albetris Albetris, Nurfadilah Sindika Sari

Abstract


Abstrak

Perkembangan Artificial Intelligence (AI) di pendidikan tinggi menghadirkan peluang dalam penguatan literasi akademik, khususnya pada kemampuan analisis literatur mahasiswa. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi mahasiswa melalui integrasi Scite.AI sebagai pendukung analisis literatur dalam karya ilmiah. Program dilaksanakan pada 16 Agustus 2025 di Ruang BTE 21 dengan melibatkan 33 mahasiswa yang sedang atau akan menyusun tugas akhir. Metode yang digunakan adalah pelatihan berbasis pendampingan dengan desain workshop praktik dan pendekatan experiential learning. Kegiatan meliputi pemaparan konsep citation context, demonstrasi fitur Scite.AI, praktik analisis fungsi sitasi (mentioning, supporting, contrasting), serta diskusi dan refleksi. Hasil menunjukkan bahwa penggunaan Scite.AI membantu mahasiswa memahami konteks sitasi secara lebih kritis dan tidak lagi bergantung pada jumlah sitasi semata. Integrasi AI yang dipadukan dengan pendampingan terstruktur terbukti mendukung peningkatan ketelitian analisis literatur dan kualitas argumentasi ilmiah. Dengan demikian, pemanfaatan Scite.AI berbasis pendampingan dapat menjadi strategi efektif dalam memperkuat kompetensi literasi akademik mahasiswa di era digital.

 

Kata kunci: artificial intelligence; scite.AI; analisis literatur; citation context; pendampingan.

 

Abstract

The development of Artificial Intelligence (AI) in higher education offers opportunities to strengthen students’ academic literacy, particularly in literature analysis skills. This community service program aimed to enhance students’ competencies by integrating Scite.AI as a tool to support literature analysis in academic writing. The program was conducted on August 16, 2025, in Room BTE 21 and involved 33 students preparing their undergraduate theses or scientific articles. The method employed was mentoring-based training combined with a practice-oriented workshop and an experiential learning approach. Activities included introducing citation context concepts, demonstrating Scite.AI features, practicing citation function analysis (mentioning, supporting, contrasting), and conducting guided discussions and reflections. The results indicate that Scite.AI helped students interpret citation contexts more critically and move beyond relying solely on citation counts. The integration of AI with structured mentoring contributed to improved rigor in literature analysis and stronger scientific argumentation. Therefore, mentoring-based integration of Scite.AI represents an effective strategy for strengthening academic literacy competencies in the digital era.

 

Keywords: artificial intelligence; scite.AI; literature analysis; citation context; mentoring.


Keywords


artificial intelligence; scite.AI; literature analysis; citation context; mentoring.

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References


Addy, T. M., Addy, N., Hendrickson, B., & Mitchell, K. A. (2023). Supporting Mentees Through Inclusive Mentorship. New Directions for Teaching and Learning, 2023(175), 11–19. https://doi.org/10.1002/tl.20554

Ajani, O. A. (2023). The Role of Experiential Learning in Teachers’ Professional Development for Enhanced Classroom Practices. Journal of Curriculum and Teaching, 12(4), 143. https://doi.org/10.5430/jct.v12n4p143

Bakker, C., Theis‐Mahon, N., & Brown, S. (2023). Evaluating the Accuracy of Scite, a Smart Citation Index. Hypothesis Research Journal for Health Information Professionals, 35(2). https://doi.org/10.18060/26528

Berumen, F. L. R., Fernández, E. de J. R., Frausto, H. R., Sandoval, M. D., & Chequer, J. A. R. (2024). Analysis of the Impact of Mentoring on the Socio-Emotional Education of Students and Its Influence on Comprehensive Development. International Journal of Health Science, 4(17), 2–8. https://doi.org/10.22533/at.ed.1594172407022

Bonotis, P., & Angelidis, P. (2025). Engaging Engineering Students in User-Centered Healthcare Design: Towards a Workshop-Based Approach to Teaching UX Principles. https://doi.org/10.3233/shti250140

deLaubell, L. (2023). Scite. The Charleston Advisor, 24(4), 60–63. https://doi.org/10.5260/chara.24.4.60

Donner, P., Stahlschmidt, S., Haunschild, R., & Bornmann, L. (2025a). Are Citation Context Information Stronger Related to Peer Ratings Than Citation Counts? A Descriptive Analysis. https://doi.org/10.51408/issi2025_049

Donner, P., Stahlschmidt, S., Haunschild, R., & Bornmann, L. (2025b). Does Citation Context Information Enhance the Validity of Citation Analysis for Measuring Research Quality? An Empirical Comparison of Peer Assessments and Enriched Citations. Quantitative Science Studies, 6, 967–987. https://doi.org/10.1162/qss.a.15

Golden, R. E., Sanders, A. M., & Frayne, S. M. (2023). RE-AIM Applied to a Primary Care Workforce Training for Rural Providers and Nurses: The Department of Veterans Affairs’ Rural Women’s Health Mini-Residency. Frontiers in Health Services, 3. https://doi.org/10.3389/frhs.2023.1205521

Guo, T., Chowdhury, M., Rasouli, R., & Patel, M. (2023). Exploring the Effectiveness of a Cascading Mentorship Model in Developing CanMEDS Competencies in Postgraduate Medical Education: A Qualitative Interview Study Among Resident Mentors at a Medical School in Canada. BMJ Open, 13(1), e061338. https://doi.org/10.1136/bmjopen-2022-061338

Hoang, V. L., Bui, H. T. D., Thuy, L. T. X., Tran, T. D., Hoang, H. T., Huynh, H. Q., & Thu, H. N. T. (2025). Effectiveness of a Train-the-Trainer Workshop Series on Teaching Methods Among Nurse Educators: An Exemplar From Vietnam. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1441481

Hsiao, T., & Torvik, V. I. (2023). OpCitance: Citation Contexts Identified From the PubMed Central Open Access Articles. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02134-x

Kelly, N., Brophy, C., Scharoun, L., Finger, M., & Meth, D. (2023). Co-Design for Staff Professional Learning Within Universities: A case Study. Journal of Applied Research in Higher Education, 16(2), 315–327. https://doi.org/10.1108/jarhe-12-2022-0381

Krejci, S. (2025). Training Up. Experiential Learning and Teaching in Higher Education, 8(2-June). https://doi.org/10.46787/elthe.v8i2-june.4132

Kumar, D. K., & Sajjan, S. M. (2024). A Study on Innovative Practices for Quality Enhancement in Mentor-Mentee System of Higher Education Institutions in Bengaluru. Indian Journal of Information Sources and Services, 14(3), 186–191. https://doi.org/10.51983/ijiss-2024.14.3.24

Ngoc, N. T. (2024). Ability to Organize Experiential Activities of Teachers in Primary Schools. Journal of Education and E-Learning Research, 11(1), 211–218. https://doi.org/10.20448/jeelr.v11i1.5426

Nogueira, M. S., Gunther, J., Komolibus, K., Ryan, S., Murray, B. S., Jezzini, M., Kennedy, D., & Andersson‐Engels, S. (2024). Teaching and Learning in Biophotonics: Crossing the Bridge Between Educators and Students. Journal of Biophotonics, 17(7). https://doi.org/10.1002/jbio.202300491

Oddone, K. (2023). University Educators’ Experience of Personal Learning Networks to Enhance Their Professional Knowledge. The International Review of Research in Open and Distributed Learning, 24(3), 54–76. https://doi.org/10.19173/irrodl.v24i3.7053

Patterson, C. A. (2023). Mentoring Programs: Characteristics Within HRD and Higher Education Contexts. Advances in Developing Human Resources, 26(1), 56–66. https://doi.org/10.1177/15234223231213993

Pesina, R. (2025). Mentoring Software in Education and Its Impact on Teacher Development: An Integrative Literature Review. International Journal on Integrating Technology in Education, 14(1), 29–38. https://doi.org/10.5121/ijite.2025.15103

Petrovic-Dzerdz, M., & Marini, A. (2023). Cooking the Course From Scratch. Collected Essays on Learning and Teaching, 14. https://doi.org/10.22329/celt.v14i1.6957

Rong, W. (2023). A Preliminary Study of the “Whole Process Dual Tutoring System” Talent Cultivation Model for Elementary Education Majors. Transactions on Comparative Education, 5(8). https://doi.org/10.23977/trance.2023.050814

Rowley, M. P., & Wilkins, E. (2024). Weaving Pathways: The Role of High School Family and Consumer Sciences Courses in Cultivating a Teacher Pipeline Across the Midwest. Journal of Education and Training Studies, 12(2), 31. https://doi.org/10.11114/jets.v12i2.6589

Scott, H. (2023). Theoretically Rich Design Thinking: Blended Approaches for Educational Technology Workshops. International Journal of Management and Applied Research, 298–313. https://doi.org/10.18646/2056.102.23-023

Scott, V. C., Jillani, Z., Malpert, A., Kolodny-Goetz, J., & Wandersman, A. (2022). A Scoping Review of the Evaluation and Effectiveness of Technical Assistance. Implementation Science Communications, 3(1). https://doi.org/10.1186/s43058-022-00314-1

Ssenyonga, R., Lewin, S., Nakyejwe, E., Chelagat, F., Mugisha, M., Oxman, M., Nsangi, A., Semakula, D., Rosenbaum, S., Moberg, J., Oxman, A. D., Munthe‐Kaas, H. M., Holst, C., Kaseje, M., Nyirazinyoye, L., & Sewankambo, N. (2024). Process Evaluation of Teaching Critical Thinking About Health Using the Informed Health Choices Intervention in Uganda: A Mixed Methods Study. Global Health Science and Practice, 12(6), e2300484. https://doi.org/10.9745/ghsp-d-23-00484

Tembrevilla, G., Phillion, A. B., & Zeadin, M. (2023). Experiential Learning in Engineering Education: A Systematic Literature Review. Journal of Engineering Education, 113(1), 195–218. https://doi.org/10.1002/jee.20575

Wang, X., Huang, R., Sommer, M., Pei, B., Shidfar, P., Rehman, M. S., Ritzhaupt, A. D., & Martin, F. (2024). The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems From 2010 to 2022 on Learner Outcomes: A Meta-Analysis. Journal of Educational Computing Research, 62(6), 1348–1383. https://doi.org/10.1177/07356331241240459

Weng, X., Ye, H., Dai, Y., & Ng, O. (2024). Integrating Artificial Intelligence and Computational Thinking in Educational Contexts: A Systematic Review of Instructional Design and Student Learning Outcomes. Journal of Educational Computing Research, 62(6), 1420–1450. https://doi.org/10.1177/07356331241248686

Wolfe, A., & Hartman, S. L. (2024). Remote Teaching and Learning for Teacher Candidates: Mentor teacher Perspectives. PDS Partners Bridging Research to Practice, 19(2), 96–107. https://doi.org/10.1108/pdsp-12-2023-0041




DOI: https://doi.org/10.31764/jpmb.v10i2.38569

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