Journal
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
UDK004.89
Issue:2 (148)
Download PDF0 Kbyte
Voice based answer evaluation system for physically disabled students using natural language processing and machine learning
Annotation
In the modern educational process, there is a need to automate response assessment systems. The task of the reviewer becomes more difficult when analyzing theoretical answers, because online assessment of answers is available only for questions with multiple choice answers. The teacher carefully examines the answer before giving the appropriate mark. The existing approach requires additional staff and time to study the responses. This article introduces a natural language processing and machine learning response-based app that includes a voice prompt for visually impaired students. The application automates the process of checking subjective responses by considering text extraction, feature extraction, and score classification. Evaluation measures, such as Term Frequency-Inverse Document Frequency (TF-IDF) similarity, vector similarity, keyword similarity, and grammar similarity, are considered to determine the overall similarity between teacher outcome and system evaluation. The conducted experiments showed that the system evaluates the answers with an accuracy of 95 %. The proposed methodology is designed to assess the results of exams for students who cannot write but who can speak. The application of the developed application allows reducing the labor costs and time of the teacher by reducing manual labor.
Keywords
Постоянный URL
Articles in current issue
- Polymer composition with phenanthrenequinone for recording relief holographic gratings
- Modern approaches to the application of mathematical modeling methods in biomedical research
- Analysis of the phase images obtained during the collection of a holographic registration system based on the geometric phase effect and a polarization camera
- Color triangle color separation system for colorimetric research in microscopy
- The concept of aerial photography using a two-element active optoelectronic complex
- Variational problem of adaptive optimal control. Theoretical and applied computer analysis
- Brief review of the development of theories of robustness, roughness and bifurcations of dynamic systems
- Multiple context-free path querying by matrix multiplication
- Predicting the results of the 16-factor R. Cattell test based on the analysis of text posts of social network users
- Methodology for the control of electric power distribution system components to ensure the quality of consumed electricity
- Natural language based malicious domain detection using machine learning and deep learning
- Hybrid JAYA algorithm for workflow scheduling in cloud
- Information model of the essential goods purchase duration
- Analysis and control of user engagement in personalized mobile assisting software for chronic disease patients
- Role discovery in node-attributed public transportation networks: the model description
- A survey of network intrusion detection systems based deep learning approaches
- Monitoring the health status of the population by age groups
- An intelligent shell game optimization based energy consumption analytics model for smart metering data
- Active voltage damping method with negative DC link current feedback in electric and hybrid electric transmissions
- Comparative analysis of switched reluctance motor control algorithms
- Gas dynamics of stationary supersonic gas jets with inert particles exhausting into a medium with low pressure
- Mixed forms of free oscillations of a rectangular CFCF-plate
- Modeling of heat-hydrodynamic processes in evaporators of low-temperature systems with intrachannel boiling of refrigerants
- High performance modeling of the stress-strain state of thin-walled shell structures with the use of deep learning
- Validation of state machine specifications