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Outcomes – Numeracy
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 211 - 240 of 259
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut. (08/2024). arXiv. http://arxiv.org/pdf/2310.13712v3
Backwards Planning with Generative AI: Case Study Evidence from US K12 Teachers
Samantha Keppler, Wichinpong Park Sinchaisri, Clare Snyder. (08/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924786
The Neglected 15%: Positive Effects Of Hybrid Human-Ai Tutoring Among Students With Disabilities
Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (07/2024). Artificial Intelligence in Education: 25th International Conference, AIED 2024. https://dl.acm.org/doi/abs/10.1007/978-3-031-64302-6_29
Generative AI Can Harm Learning
Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Ozge Kabaci, Rei Mariman. (07/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4895486
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv. http://arxiv.org/pdf/2407.09136v1
COMET : "Cone of experience” enhanced large multimodal model for mathematical problem generation
Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun. (07/2024). arXiv. http://arxiv.org/pdf/2407.11315v1
Bringing Generative AI to Adaptive Learning in Education
Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen. (06/2024). arXiv. https://arxiv.org/pdf/2402.14601
Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Gupta, Tala Talaei Khoei. (06/2024). arXiv. https://arxiv.org/pdf/2407.15022
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
Hamidreza Rouzegar, Masoud Makrehchit. (06/2024). arXiv. https://arxiv.org/pdf/2406.13903
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Joykirat Singh, Akshay Nambi, Vibhav Vineet. (06/2024). arXiv. http://arxiv.org/pdf/2406.10834v1
Systematic review of research on artificial intelligence in K-12 education (2017-2022)
Florence Martin, Min Zhuang, Darlene Schaefer. (06/2024). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2666920X23000747
Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI- Math Tutor in Ghana
Owen Henkel, Hannah Horne-Robinson, Nessie Kozhakhmetova, Amanda Lee. (05/2024). arXiv. https://arxiv.org/pdf/2402.09809
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. (05/2024). arXiv. http://arxiv.org/pdf/2405.06705v1
Classroom Education Plan Essa Evidence Packet
QoreInsights. (05/2024). LXD Research. https://www.researchgate.net/publication/382150661_QoreInsights_ESSA_Evidence_P…
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
Jaewook Lee, Digory Smith, Simon Woodhead, Andrew Lan. (05/2024). arXiv. http://arxiv.org/pdf/2405.00864v1
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu and Philip S. Yu. (05/2024). arXiv. http://arxiv.org/pdf/2405.13001v1
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen. (05/2024). arXiv. http://arxiv.org/pdf/2405.14365v1
Evaluating and Optimizing Educational Content with Large Language Model Judgments
Joy He-Yueya, Noah D. Goodman, Emma Brunskill. (05/2024). arXiv. http://arxiv.org/pdf/2403.02795v2
ChatGPT-generated help produces learning gains equivalent to human tutor-authored help on mathematics skills
Zachary A. Pardos, Shreya Bhandari. (05/2024). PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304013
Improving Teaching at Scale: Can AI Be Incorporated Into Professional Development to Create Interactive, Personalized Learning for Teachers?
Yasemin Copur-Gencturk, Jingxian Li, Sebnem Atabas. (05/2024). American Educational Research Journal. https://journals.sagepub.com/doi/full/10.3102/00028312241248514
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu. (04/2024). arXiv. http://arxiv.org/pdf/2401.08664v3
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes
Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky. (04/2024). arXiv. http://arxiv.org/pdf/2310.10648v3
Large Language Models for Education: A Survey and Outlook
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen. (04/2024). arXiv. http://arxiv.org/pdf/2403.18105v2
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee Branstetter, Emma Brunskill, Kenneth R. Koedinger. (03/2024). Association for Computing Machinery. https://dl.acm.org/doi/pdf/10.1145/3636555.3636896
Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform
Dorottya Demszky, Rose E. Wang, Sean Geraghty, Carol Yu. (03/2024). ACM Digital Library. https://dl.acm.org/doi/10.1145/3636555.3636924
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
Zewei Tian, Min Sun, Alex Liu, Shawon Sarkar, Jing Liu. (03/2024). arXiv. http://arxiv.org/pdf/2403.03920v1
Are Lesson Plans Created by ChatGPT More Effective? An Experimental Study
Muhammet Remzi Karaman, Idris G¬öksu. (02/2024). International Journal of Technology in Education. https://www.researchgate.net/publication/377964050_Are_Lesson_Plans_Created_by_…
Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytelling
Chao Zhang, Xuechen Liu, Katherine Ziska, Soobin Jeon, Chi-Lin Yu, Ying Xu. (02/2024). arXiv. http://arxiv.org/pdf/2402.01927v2
The Impact of Artificial Intelligence on Students' Learning Experience
Abill Robert, Kaledio Potter, Louis Frank. (02/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4716747
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja KŠser, Steven Moore, Anna N. Rafferty, Adish Singla. (02/2024). arXiv. https://arxiv.org/pdf/2402.01580
