Work

Classification of pedagogical content using conventional machine and deep learning model

Year: 2021

Type: article

Abstract: ed this discipline and made it more interesting for scientists and researchers for further study. This paper aims to classify the pedagogically content using two different models, the K-Nearest Neighbor (KNN) from the conventional models and the Long short-term memory (LSTM) recurrent neural network from the deep learning models. The result indicates that the accuracy of classifying the pedagogical content reaches 92.52 % using KNN model and 87.71 % using LSTM model.

Source: WiPiEC Journal - Works in Progress in Embedded Computing Journal

Authors: Apuk, Vedat, Pireva Nuci, Krenare

Institution: University for Business and Technology

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W7217839401

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Related to: 10