Cognitive level analysis of STEM Subject Questions - Indian School Boards (ICSE, CBSE, NIOS): 2011 - 2020
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Name of the project: A comparative study using Bloom’s Taxonomy to evaluate the cognitive levels of secondary school STEM exam questions in Indian School Boards. Project description: In this research dataset, we provide a collection of 3071 STEM subject assessment questions. These questions are from grade 10 (school leaving exam) for three different national school boards in India. They are annotated with the most suitable cognitive level based on inter-annotator agreement by three annotator. Dataset abstract: The three boards are: Indian Certificate of Secondary Education (ICSE), Central Board of Secondary Education (CBSE), and National Institute of Open Schooling (NIOS). The language of the questions are in English. There are total 3071 questions (CBSE - 1274, ICSE - 838, NIOS - 959) Subject wise division of questions: Science: 1291 (CBSE - 381, ICSE - 522 [Combining Physics, Chemistry and Biology], NIOS - 388), Mathematics: 1780 (CBSE- 893, ICSE -316, NIOS -571). Data type: Character. Principal investigator and collaborators: Prof. Syaamantak Das (ET, IIT Bombay), Vijay Prakash (ET, IIT Bombay), Nandagopal KS and Anirban Roy Choudhury (IISER Pune) Contact information: syaamantak.das@iitb.ac.in Time period of data collection: June 2022 - July 2022 Subject/keywords: Assessment questions, Indian School Boards, Cognitive level. Licence: CC BY NC 3.0 Filetype: Compressed file (.zip format) consisting of files in .xlsx format.
项目名称：采用布鲁姆分类法（Bloom’s Taxonomy）评估印度中学理事会下属中等教育阶段STEM（科学、技术、工程与数学）考试题目认知水平的对比研究 项目描述：本研究数据集收录了3071道STEM学科测评题目，均取自印度3个国家级中学理事会的10年级毕业会考真题。经3名标注者达成标注一致性共识后，为每道题目标注了最契合的认知水平层级。 数据集摘要：本次涉及的3个理事会分别为：印度中等教育证书委员会（Indian Certificate of Secondary Education, ICSE）、中央中等教育委员会（Central Board of Secondary Education, CBSE）以及国家开放学校理事会（National Institute of Open Schooling, NIOS）。所有题目均采用英语命制，总计3071道试题（其中CBSE：1274道，ICSE：838道，NIOS：959道）。 按学科分类统计：科学类共1291道（CBSE：381道，ICSE：522道，涵盖物理、化学与生物学科；NIOS：388道）；数学类共1780道（CBSE：893道，ICSE：316道，NIOS：571道）。 数据类型：字符型（Character） 项目负责人及合作者：Syaamantak Das教授（ET, IIT Bombay）、Vijay Prakash（ET, IIT Bombay）、Nandagopal KS以及Anirban Roy Choudhury（IISER Pune） 联系方式：syaamantak.das@iitb.ac.in 数据采集周期：2022年6月—2022年7月 主题/关键词：测评题目、印度中学理事会、认知水平 许可协议：CC BY NC 3.0 文件类型：压缩文件（.zip格式），内含.xlsx格式文件
