Gemini / Gemma

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 61 - 90 of 326 studies

Beyond AI Delegation: A Prompt Pattern Framework For Productive Struggle And Evaluative Judgement In Secure Coding Education

Philipp Haindl, Oliver Eigner, Peter Kieseberg. (05/2026). arXiv. https://arxiv.org/abs/2605.24447v1
Teaching AI Through Benchmark Construction: Questbench As A Course-Based Practice For Accountable Knowledge Work

Haiyang Shen, Jiuzheng Wang, Taian Guo, Mugeng Liu, Wenchun Jing, Chongyang Pan, Siqi Zhong, Zhiyang Chen, Weichen Bi, Yudong Han, Xiaoying Bai, Yun Ma. (05/2026). arXiv. https://arxiv.org/abs/2605.21413v2
Generative AI Practices, Literacy, And Divides: An Empirical Analysis In The Italian Context

Beatrice Savoldi, Giuseppe Attanasio, Olga Gorodetskaya, Marta Marchiori Manerba, Elisa Bassignana, Silvia Casola, Matteo Negri, Tommaso Caselli, Luisa Bentivogli, Alan Ramponi, Arianna Muti, Nicoletta Balbo, Debora Nozza. (05/2026). arXiv. https://arxiv.org/abs/2512.03671v2
Faculty Orientations Shape Adoption Of AI In Research And Teaching

T. J. Atherton, Ian Descamps, M. Webel, Tova Ray Holmes, C. L. Vizcarra, N. Sui, Jonathan Joseph Foley. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
Who Gets To Do Physics? Occupational Stereotypes In AI-Generated Problem Sets

Bilas Paul. (05/2026). arXiv. https://arxiv.org/abs/2605.19161v1
ChatGPT Vs Teachers Vs Students: Large-Scale Analysis Of Generative AI Discourse In Education Communities On Reddit

Pelin Yuce, Xiangruo Dai, Rebecca Owens, Tugrulcan Elmas. (05/2026). arXiv. https://arxiv.org/abs/2605.17712v1
Teaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone

LearnLM Team, Google & Fab AI. (05/2026). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_sierraleone_may26…
Performance And Failure Modes Of AI Chatbots On A Novel Concept Inventory On Relativity In Classical Mechanics

Eugenio Tufino, Caterina GIOVANZANA, Andrea ZAMBONI, Pasquale ONORATO, Stefano OSS. (05/2026). arXiv. https://arxiv.org/abs/2605.09602v1
Teachers' Perceived Benefits And Risks Of AI Across Fifty-Five Countries: An Audit Of LLM Alignment And Steerability

Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, Rene F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2605.08486v1
From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle

Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wróblewska. (05/2026). arXiv. https://arxiv.org/abs/2605.06963v1
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning

Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
Alcofe: Implementation And Deployment Of An AI-Based Collaborative Feedback System For Higher Education

Alvaro Becerra, Alejandra Palma, Ruth Cobos. (05/2026). arXiv. https://arxiv.org/abs/2605.04740v1
Cognitive Twins: Investigating Personalized Thinking Model Building And Its Performance Enhancement With Human-In-The-Loop

Wu-Yuin Hwang, Nur Alif Ilyasa, Muhammad Irfan Luthfi, and Yuniar Indrihapsari. (05/2026). arXiv. https://arxiv.org/abs/2605.04761v1
Exploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling

Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace M. Maniago, John Paul P. Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27346v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics

Michael J. Parker, Maria Guadalupe Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
Now's The Time: Computer Science Must Evolve To Emphasize Software And Systems Engineering With Artificial Intelligence (AI)

Chandra N. Sekharan, George K. Thiruvathukal. (04/2026). arXiv. https://arxiv.org/abs/2604.27230v1
From Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests

Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv. https://arxiv.org/abs/2505.17056v2
Human-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics

Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv. https://arxiv.org/abs/2604.26607v1
How Do Software Engineering Students Use Generative AI In Real-World Capstone Projects? An Empirical Baseline Study

Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider. (04/2026). arXiv. https://arxiv.org/abs/2604.24521v1
Code For All: Educational Applications Of The Vibe Coding Hackathon In Programming Education Across All Skill Levels

Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique. (04/2026). arXiv. https://arxiv.org/abs/2604.22747v1
Perceptions And Utilization Of Genai Tools Among Data Science Students And Faculty

Abeer M. Hasan, Sayed A. Mostafa. (04/2026). arXiv. https://arxiv.org/abs/2604.22998v1
A Systematic AI Adoption Framework For Higher Education: From Student Genai Usage To Institutional Integration

Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schön. (04/2026). arXiv. https://arxiv.org/abs/2604.22030v1
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses

Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
Reliancescope: An Analytical Framework For Examining Students' Reliance On Generative AI Chatbots In Problem Solving

Hyoungwook Jin, Minju Yoo, Jieun Han, Zixin Chen, So-Yeon Ahn, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2602.16251v2
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact

Michael Hardy, Yunsung Kim. (04/2026). arXiv. https://arxiv.org/abs/2603.00883
Generative AI Technologies, Techniques & Tensions: A Primer

John T. Behrens. (04/2026). arXiv. https://arxiv.org/abs/2604.17497v1
Generative AI In Higher Education: Evidence From An Elite College

Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Comprehension Debt In Genai-Assisted Software Engineering Projects

Muhammad Ovais Ahmad. (04/2026). arXiv. https://arxiv.org/abs/2604.13277v1
Teaching Astronomy With Large Language Models

Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Sandpiper: Orchestrated AI-Annotation For Educational Discourse At Scale

Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Joshua Marland, Rachel Slama, Justin Reich, Kenneth R. Koedinger, Rene F. Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2603.08406v2