A priority of preferences for teacher assignment problem

Overview

Genetic-Algorithm-for-Assignment-Problem

A priority of preferences for teacher assignment problem

Keywords

k-partition; clustering; education 4.0

Abstract

According to the credit training regulations, students will have to create their own learning path to complete the training program and must actively register for subjects in each of their semesters. To prepare for the student’s course registration, usually at the beginning of each semester, the training department and the head of the department will work together to carry out the following steps: (1) based on the program’s reference road map and individual study plan of students in the upcoming semester, the training department counts the number of classes that need to be opened for each subject (referred to as subject classes) and sends a list of these subject classes to the head of the department, (2) the head of the department assigns the permanent faculty members of the department to be in charge of teaching these subject classes, if not enough, additional visiting lecturers must be invited outside the school, (3) based on the assignment proposed by the head of the department, the training department arranges the timetable for these subject classes, (4) students register for the course on this schedule, then the training department and the head of the department will make adjustments (if any) to suit the student’s actual course registration situation such as opening more subject classes or canceling subject classes, (5) after the final schedule, instruction for that semester will take place.

Currently, in Step 2, the head of the department assigns full-time lecturers in charge of teaching classes difficultly and emotionally. The difficulty is because the number of subject classes is large, as well as the number of full-time lecturers in the subject, and the expertise of the full-time lecturers is very different. The emotionality is because at present there is only one measurable criterion, which is to assign full-time lecturers in charge of subject classes as much as possible so as not to have to invite additional visiting lecturers outside the school. However, the criteria of teacher satisfaction have not been clearly paid attention to.

In this study, the authors propose a quantitative way of teachers’ satisfaction by collecting their interest in subjects through priority for each subject and their maximum teaching capacity in each semester. In fact, some teachers like to teach their familiar subjects, while others like to teach new subjects. Therefore, in this

Related Work

Owner
hades
Machine Learning, Deep Learning, Computer Vision, Signal processing
hades
A priority of preferences for teacher assignment problem

Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst

hades 2 Oct 31, 2022
Genius Square puzzle solver in Python

Genius Square puzzle solver in Python

James 3 Dec 15, 2022
iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms.

iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms. You can find its main page and description via this link. If you are familiar with NILM-TK API

Mozaffar Etezadifar 3 Mar 19, 2022
Data Model built using Logistic Regression Algorithm on Python.

Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo

Hemanth Babu Muthineni 0 Dec 25, 2021
A pure Python implementation of a mixed effects random forest (MERF) algorithm

Mixed Effects Random Forest This repository contains a pure Python implementation of a mixed effects random forest (MERF) algorithm. It can be used, o

Manifold 199 Dec 06, 2022
Supplementary Data for Evolving Reinforcement Learning Algorithms

evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g

John Co-Reyes 42 Sep 21, 2022
Algorithmic Trading with Python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Chris Conlan 1.3k Jan 03, 2023
🌟 Python algorithm team note for programming competition or coding test

🌟 Python algorithm team note for programming competition or coding test

Seung Hoon Lee 3 Feb 25, 2022
QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive parallelism

QDax: Accelerated Quality-Diversity QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive paralleli

Adaptive and Intelligent Robotics Lab 183 Dec 30, 2022
A Python library for simulating finite automata, pushdown automata, and Turing machines

Automata Copyright 2016-2021 Caleb Evans Released under the MIT license Automata is a Python 3 library which implements the structures and algorithms

Caleb Evans 219 Dec 12, 2022
Provide player's names and mmr and generate mathematically balanced teams

Lollo's matchmaking algorithm Provide player's names and mmr and generate mathematically balanced teams How to use Fill the input.json file with your

4 Aug 04, 2022
So far implements A* will add more later

Pathfinding_Visualization Finds the shortest path between two nodes. The light blue path is the shortest path. The black nodes are barriers. Created i

Lukas DeLoach 1 Jan 18, 2022
Machine Learning algorithms implementation.

Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe

David Levin 1 Dec 10, 2021
This application solves sudoku puzzles using a backtracking recursive algorithm

This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.

Glenda T 0 May 17, 2022
A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format.

TSP-Nearest-Insertion A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format. Instructions Load a txt file wi

sjas_Phantom 1 Dec 02, 2021
An implementation of ordered dithering algorithm in python as multimedia course project

One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel.

7 Dec 02, 2022
Esse repositório tem como finalidade expor os trabalhos feitos para disciplina de Algoritmos computacionais e estruturais do CEFET-RJ no ano letivo de 2021.

Exercícios de Python 🐍 Esse repositório tem como finalidade expor os trabalhos feitos para disciplina de Algoritmos computacionais e estruturais do C

Rafaela Bezerra de Figueiredo 1 Nov 20, 2021
A litle algorithm that i made for transform a picture in a spreadsheet.

PicsToSheets How it works? It is an algorithm designed to transform an image into a spreadsheet file. this converts image pixels to color cells of she

Guilherme de Oliveira 1 Nov 12, 2021
This repository is not maintained

This repository is no longer maintained, but is being kept around for educational purposes. If you want a more complete algorithms repo check out: htt

Nic Young 2.8k Dec 30, 2022
Python implementation of Aho-Corasick algorithm for string searching

Python implementation of Aho-Corasick algorithm for string searching

Daniel O'Sullivan 1 Dec 31, 2021