Dataset of computer science course queries from students: Categorized and scored according to Bloom's taxonomy.

ABSTRACT: "Why don't students learn?" is a common question that educators try to address. To encourage students to become more engaged in the learning process, we believe in fostering their natural curiosity by encouraging them to ask high-level questions. To support this approach, we have compiled a dataset of questions that we hope will aid in the training of artificial intelligence (AI) models and ultimately improve the learning experience for students. To develop our dataset, we collected anonymous student questioning data in the Summer 2023 semester, utilizing our online application named "Palta Question", resulting in a dataset of 8,811 unique questions. The dataset consists of students' inquiries which underwent basic question validation using a sophisticated keyword-based approach, manual ca

SUBMITTER: Zaman KAU 

PROVIDER: S-EPMC10864826 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature