https://pypi.org/project/aitutor-assessmentkit/ Recent updates to the Python Package Index for aitutor-assessmentkit en https://pypi.org/project/aitutor-assessmentkit/0.1.8/ AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large language models (LLMs), this library provides a systematic approach to assess their teaching potential across multiple dimensions in educational dialogues. Kaushal.Maurya@mbzuai.ac.ae Mon, 16 Dec 2024 05:23:57 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.7/ AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large language models (LLMs), this library provides a systematic approach to assess their teaching potential across multiple dimensions in educational dialogues. Kaushal.Maurya@mbzuai.ac.ae Mon, 16 Dec 2024 05:15:43 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.6/ AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large language models (LLMs), this library provides a systematic approach to assess their teaching potential across multiple dimensions in educational dialogues. Kaushal.Maurya@mbzuai.ac.ae Mon, 16 Dec 2024 05:09:56 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.5/ AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large language models (LLMs), this library provides a systematic approach to assess their teaching potential across multiple dimensions in educational dialogues. Kaushal.Maurya@mbzuai.ac.ae Mon, 16 Dec 2024 04:57:11 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.4/ AITutor-AssessmentKit is the first open-source toolkit designed to evaluate the pedagogical performance of AI tutors in student mistake remediation tasks. With the growing capabilities of large language models (LLMs), this library provides a systematic approach to assess their teaching potential across multiple dimensions in educational dialogues. Kaushal.Maurya@mbzuai.ac.ae Mon, 16 Dec 2024 04:54:12 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.2/ Welcome to the `AITutor-AssessmentKit`! With the remarkable advancements in large language models (LLMs), there is growing interest in leveraging these models as AI-powered tutors. However, the field lacks robust evaluation methodologies and tools to systematically assess the pedagogical capabilities of such systems. The `AITutor-AssessmentKit` is the first open-source toolkit specifically designed to evaluate the pedagogical performance of AI tutors in *Student Mistake Remediation* tasks. Kaushal.Maurya@mbzuai.ac.ae Sun, 15 Dec 2024 21:45:21 GMT https://pypi.org/project/aitutor-assessmentkit/0.1.1/ Welcome to the `AITutor-AssessmentKit`! With the remarkable advancements in large language models (LLMs), there is growing interest in leveraging these models as AI-powered tutors. However, the field lacks robust evaluation methodologies and tools to systematically assess the pedagogical capabilities of such systems. The `AITutor-AssessmentKit` is the first open-source toolkit specifically designed to evaluate the pedagogical performance of AI tutors in *Student Mistake Remediation* tasks. Kaushal.Maurya@mbzuai.ac.ae Sun, 15 Dec 2024 21:37:55 GMT