AITutor-EvalKit: Exploring the Capabilities of AI Tutors
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911462219317248 |
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| author | Naeem, Numaan Maurya, Kaushal Kumar Petukhova, Kseniia Kochmar, Ekaterina |
| author_facet | Naeem, Numaan Maurya, Kaushal Kumar Petukhova, Kseniia Kochmar, Ekaterina |
| contents | We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for demonstration and evaluation, as well as model inspection and data visualization. This tool is aimed at education stakeholders as well as *ACL community at large, as it supports learning and can also be used to collect user feedback and annotation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_03688 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AITutor-EvalKit: Exploring the Capabilities of AI Tutors Naeem, Numaan Maurya, Kaushal Kumar Petukhova, Kseniia Kochmar, Ekaterina Computation and Language We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for demonstration and evaluation, as well as model inspection and data visualization. This tool is aimed at education stakeholders as well as *ACL community at large, as it supports learning and can also be used to collect user feedback and annotation. |
| title | AITutor-EvalKit: Exploring the Capabilities of AI Tutors |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2512.03688 |