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Knowledge Tracing Challenge: Optimal Activity Sequencing for Students
Knowledge tracing is a method used in education to assess and track the acquisition of knowledge by individual learners.
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
Responding to the thousands of student questions on online QA platforms each semester has a considerable human cost, particularly in computing courses with rapidly growing enrollments.
Assessing the efficacy of large language models in generating accurate teacher responses
(Tack et al., 2023) organized the shared task hosted by the 18th Workshop on Innovative Use of NLP for Building Educational Applications on generation of teacher language in educational dialogues.
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant
Automated Essay scoring has been explored as a research and industry problem for over 50 years.
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models
We curate a comprehensive dataset of 4, 550 questions and solutions from problem sets, midterm exams, and final exams across all MIT Mathematics and Electrical Engineering and Computer Science (EECS) courses required for obtaining a degree.
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
For example, asking a model to generate a varying number of the same object to measure its ability to count or providing a text prompt with several objects that each have a different attribute to identify its ability to match objects and attributes correctly.
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams
We curate a dataset and benchmark of questions from machine learning final exams available online and code for answering these questions and generating new questions.
