Dark Mode
Subject-Need Relevance Dataset
Education & Learning Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This is a Tabular-Text Dataset that entails a list of academic programmes available at an autonomous college. It provides detailed information about subjects offered within these programmes and indicates which developmental needs are fulfilled upon completion of the respective subject's syllabus [1]. Developmental needs are categorised as Local, Regional, National, and Global [1]. The dataset aims to provide insights into the relevance of academic courses to these varied needs.
Columns
The dataset contains 6 features, each providing specific details about the academic programmes and subjects [2].
- SrNo: The unique serial number for each data point [1, 2].
- Name Of the Program: The name of the academic programme, indicating whether it is a Graduation or Post Graduation programme [1, 2].
- Type of Course: This refers to the specific subject name within the selected academic programme [1, 2].
- Code: The subject code for the respective course [1, 2].
- Need: The type of developmental need that the subject is catering to [1, 2].
- Description of the need: A detailed description of the developmental need associated with the subject [1, 2].
Distribution
The dataset is a textual dataset with 905 data points and 6 features [2].
- The data points are distributed across various ranges, for example, 91 data points are between 1.00 and 91.40, and 77 data points are between 633.80 and 724.20 [2, 3].
- Regarding the "Name Of the Program" feature, BSc (Biotechnology) accounts for 8% of the data, BSc (Computer Science) accounts for 7%, and Other programmes account for 85% (representing 750 unique values) [3]. There are 768 unique values for program names and 872 unique values related to subjects [3].
- For the "Need" feature, National needs constitute 31%, Global needs 20%, and Other needs 49% (representing 427 unique values) [3]. There are 770 unique values related to developmental needs [3].
- More data points will be added in subsequent versions of the dataset [2].
Usage
This dataset is ideal for Exploratory Data Analysis (EDA) and Natural Language Processing (NLP) tasks [1]. It can be used to:
- Analyse the alignment of academic curricula with various developmental needs (Local, Regional, National, Global) [1].
- Identify potential gaps in subject offerings concerning specific needs.
- Support educational planning and curriculum development initiatives.
- Research the relevance of academic programmes in a specific autonomous college setting [1].
Coverage
The dataset specifically covers programmes available at an autonomous college [1]. The developmental needs are segregated geographically into Local, Regional, National, and Global categories [1]. The dataset is listed with a GLOBAL region scope [4]. There is no specific time range or demographic scope mentioned in the sources.
License
CCO
Who Can Use It
This dataset is valuable for:
- Educators and academic institutions: For curriculum assessment, development, and strategic planning.
- Policy makers: To understand educational relevance to broader developmental goals.
- Data scientists and researchers: For conducting analyses related to education, text analysis, and the categorisation of needs.
- Students: To explore the alignment of subjects with various developmental needs.
Dataset Name Suggestions
- Course Relevance Dataset
- Academic Programme Needs Alignment
- Educational Programme Developmental Needs
- Subject-Need Relevance Dataset
Attributes
Original Data Source: Course Relevance Dataset
QUALITY