scholarly journals Children’s Online Handwriting Quality Analysis.

2021 ◽  
Author(s):  
Hanen Akouaydi ◽  
Yahia Hamdi ◽  
Houcine Boubaker ◽  
Mourad Zaied ◽  
Faouzi Alaya Cheikh ◽  
...  
Keyword(s):  
Mobile Application ◽  
Writing Skills ◽  
Quality Analysis ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Cursive Handwriting ◽  
Analysis Process ◽  
Children's Writing ◽  
E Learning ◽  
Online Handwriting

<div>An innovative e-learning project is presented in this paper, which is a mobile workbook that teaches handwriting at school. This mobile application proposes a new qualitative and quantitative analysis process of online cursive handwriting. It gives a real-time feedback, detects mistakes and helps teachers evaluate children’s writing skills. The main aim of this notebook is to aid kids learn how to write correctly. We analyze handwriting according to major criteria like shape, kinematics of the trace, position respect to the reference lines,</div><div>stroke order and direction.</div>

scholarly journals Children’s Online Handwriting Quality Analysis.

2021 ◽  
Author(s):  
Hanen Akouaydi ◽  
Yahia Hamdi ◽  
Houcine Boubaker ◽  
Mourad Zaied ◽  
Faouzi Alaya Cheikh ◽  
...  
Keyword(s):  
Mobile Application ◽  
Writing Skills ◽  
Quality Analysis ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Cursive Handwriting ◽  
Analysis Process ◽  
Children's Writing ◽  
E Learning ◽  
Online Handwriting

<div>An innovative e-learning project is presented in this paper, which is a mobile workbook that teaches handwriting at school. This mobile application proposes a new qualitative and quantitative analysis process of online cursive handwriting. It gives a real-time feedback, detects mistakes and helps teachers evaluate children’s writing skills. The main aim of this notebook is to aid kids learn how to write correctly. We analyze handwriting according to major criteria like shape, kinematics of the trace, position respect to the reference lines,</div><div>stroke order and direction.</div>

scholarly journals Workbook for e-Education: Children’s Online Handwriting Quality Analysis.

2021 ◽  
Author(s):  
Hanen Akouaydi ◽  
Yahia Hamdi ◽  
Houcine Boubaker ◽  
Faouzi Alaya Cheikh ◽  
Adel M. Alimi
Keyword(s):  
Primary Schools ◽  
Quality Analysis ◽  
Digital Devices ◽  
Cursive Handwriting ◽  
Analysis Process ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
Interactive Interfaces ◽  
Order Position

<div>This paper describes an innovative e-learning project which is the development of a digital workbook that helps teaching handwriting at school. In this work, we propose a new qualitative and quantitative analysis process of cursive handwriting. This process detects automatically mistakes, gives a real-time feedback and helps teachers evaluate children’s writing skills. The main aim of this digital workbook is to help children learn how to write correctly. The proposed process is composed of five main criteria: shape,direction, stroke order, position respect to the reference lines and kinematics of the trace. It analyzes the handwriting quality and gives automatically feedback based on the Beta-Elliptic Model using similarity detection (SD) and dissimilarity distance (DD) measure. Our work apprehends dynamic and visual representation of the acquired traces and selects efficient features adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbols drawing. It demonstrates that beta-elliptic is not only a model for segmentation and recognition but also a tool to evaluate handwriting. Our application offers two interactive interfaces respectively dedicated to learners, and experts or teachers who can adapt it easily to the specificity of each child. The validation of the proposed system is done on a database collected in Tunisia primary schools with 400 children. Experimental results show that the efficiency and robustness of our suggested framework that do help teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.</div>

scholarly journals Workbook for e-Education: Children’s Online Handwriting Quality Analysis.

2021 ◽  
Author(s):  
Hanen Akouaydi ◽  
Yahia Hamdi ◽  
Houcine Boubaker ◽  
Faouzi Alaya Cheikh ◽  
Adel M. Alimi
Keyword(s):  
Primary Schools ◽  
Quality Analysis ◽  
Digital Devices ◽  
Cursive Handwriting ◽  
Analysis Process ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
Interactive Interfaces ◽  
Order Position

<div>This paper describes an innovative e-learning project which is the development of a digital workbook that helps teaching handwriting at school. In this work, we propose a new qualitative and quantitative analysis process of cursive handwriting. This process detects automatically mistakes, gives a real-time feedback and helps teachers evaluate children’s writing skills. The main aim of this digital workbook is to help children learn how to write correctly. The proposed process is composed of five main criteria: shape,direction, stroke order, position respect to the reference lines and kinematics of the trace. It analyzes the handwriting quality and gives automatically feedback based on the Beta-Elliptic Model using similarity detection (SD) and dissimilarity distance (DD) measure. Our work apprehends dynamic and visual representation of the acquired traces and selects efficient features adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbols drawing. It demonstrates that beta-elliptic is not only a model for segmentation and recognition but also a tool to evaluate handwriting. Our application offers two interactive interfaces respectively dedicated to learners, and experts or teachers who can adapt it easily to the specificity of each child. The validation of the proposed system is done on a database collected in Tunisia primary schools with 400 children. Experimental results show that the efficiency and robustness of our suggested framework that do help teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.</div>

scholarly journals Handwriting Quality Analysis using Online-Offline Models

2020 ◽  
Author(s):  
Yahia Hamdi ◽  
Hanen Akouaydi ◽  
Adel Alimi
Keyword(s):  
Writing Skills ◽  
Quality Analysis ◽  
Support Vector ◽  
Digital Devices ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
On Line ◽  
Interactive Interfaces ◽  
Order Position

This work is part of an innovative e-learning project allowing the development of an advanced digital educational tool that provides feedback during the process of learning handwriting for young school children (three to eight years old). In this paper, we describe a new method for children handwriting quality analysis. It automatically detects mistakes, gives real-time on-line feedback for children’s writing, and helps teachers comprehend and evaluate children’s writing skills. The proposed method adjudges five main criteria: shape, direction, stroke order, position respect to the reference lines, and kinematics of the trace. It analyzes the handwriting quality and automatically gives feedback based on the combination of three extracted models: Beta-Elliptic Model (BEM) using similarity detection (SD) and dissimilarity distance (DD) measure, Fourier<br>Descriptor Model (FDM), and perceptive Convolutional Neural Network (CNN) with Support Vector Machine (SVM) comparison engine. The originality of our work lies partly in the system architecture which apprehends complementary dynamic, geometric, and visual representation of the examined handwritten scripts and in the efficient selected features<br>adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbol drawing. The application offers two interactive interfaces respectively dedicated to learners, educators, experts or teachers and allows them to adapt it easily to the specificity of their disciples. The evaluation of our framework is enhanced by a database collected in Tunisia primary school with 400 children. Experimental results show the efficiency and robustness of our suggested framework that helps teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.<br>

scholarly journals Handwriting Quality Analysis using Online-Offline Models

2020 ◽  
Author(s):  
Yahia Hamdi ◽  
Hanen Akouaydi ◽  
Houcine Boubaker ◽  
Adel Alimi
Keyword(s):  
Writing Skills ◽  
Quality Analysis ◽  
Support Vector ◽  
Digital Devices ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
On Line ◽  
Interactive Interfaces ◽  
Order Position

This work is part of an innovative e-learning project allowing the development of an advanced digital educational tool that provides feedback during the process of learning handwriting for young school children (three to eight years old). In this paper, we describe a new method for children handwriting quality analysis. It automatically detects mistakes, gives real-time on-line feedback for children’s writing, and helps teachers comprehend and evaluate children’s writing skills. The proposed method adjudges five main criteria: shape, direction, stroke order, position respect to the reference lines, and kinematics of the trace. It analyzes the handwriting quality and automatically gives feedback based on the combination of three extracted models: Beta-Elliptic Model (BEM) using similarity detection (SD) and dissimilarity distance (DD) measure, Fourier<br>Descriptor Model (FDM), and perceptive Convolutional Neural Network (CNN) with Support Vector Machine (SVM) comparison engine. The originality of our work lies partly in the system architecture which apprehends complementary dynamic, geometric, and visual representation of the examined handwritten scripts and in the efficient selected features<br>adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbol drawing. The application offers two interactive interfaces respectively dedicated to learners, educators, experts or teachers and allows them to adapt it easily to the specificity of their disciples. The evaluation of our framework is enhanced by a database collected in Tunisia primary school with 400 children. Experimental results show the efficiency and robustness of our suggested framework that helps teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.<br>

scholarly journals Handwriting Quality Analysis using Online-Offline Models

2021 ◽  
Author(s):  
Yahia Hamdi ◽  
Hanen Akouaydi ◽  
Houcine Boubaker ◽  
Adel Alimi
Keyword(s):  
Writing Skills ◽  
Quality Analysis ◽  
Support Vector ◽  
Digital Devices ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
On Line ◽  
Interactive Interfaces ◽  
Order Position

This work is part of an innovative e-learning project allowing the development of an advanced digital educational tool that provides feedback during the process of learning handwriting for young school children (three to eight years old). In this paper, we describe a new method for children handwriting quality analysis. It automatically detects mistakes, gives real-time on-line feedback for children’s writing, and helps teachers comprehend and evaluate children’s writing skills. The proposed method adjudges five main criteria: shape, direction, stroke order, position respect to the reference lines, and kinematics of the trace. It analyzes the handwriting quality and automatically gives feedback based on the combination of three extracted models: Beta-Elliptic Model (BEM) using similarity detection (SD) and dissimilarity distance (DD) measure, Fourier<br>Descriptor Model (FDM), and perceptive Convolutional Neural Network (CNN) with Support Vector Machine (SVM) comparison engine. The originality of our work lies partly in the system architecture which apprehends complementary dynamic, geometric, and visual representation of the examined handwritten scripts and in the efficient selected features<br>adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbol drawing. The application offers two interactive interfaces respectively dedicated to learners, educators, experts or teachers and allows them to adapt it easily to the specificity of their disciples. The evaluation of our framework is enhanced by a database collected in Tunisia primary school with 400 children. Experimental results show the efficiency and robustness of our suggested framework that helps teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.<br>

scholarly journals Handwriting Quality Analysis using Online-Offline Models

2020 ◽  
Author(s):  
Yahia Hamdi ◽  
Hanen Akouaydi ◽  
Houcine Boubaker ◽  
Adel Alimi
Keyword(s):  
Writing Skills ◽  
Quality Analysis ◽  
Support Vector ◽  
Digital Devices ◽  
Children's Writing ◽  
Elliptic Model ◽  
E Learning ◽  
On Line ◽  
Interactive Interfaces ◽  
Order Position

This work is part of an innovative e-learning project allowing the development of an advanced digital educational tool that provides feedback during the process of learning handwriting for young school children (three to eight years old). In this paper, we describe a new method for children handwriting quality analysis. It automatically detects mistakes, gives real-time on-line feedback for children’s writing, and helps teachers comprehend and evaluate children’s writing skills. The proposed method adjudges five main criteria: shape, direction, stroke order, position respect to the reference lines, and kinematics of the trace. It analyzes the handwriting quality and automatically gives feedback based on the combination of three extracted models: Beta-Elliptic Model (BEM) using similarity detection (SD) and dissimilarity distance (DD) measure, Fourier<br>Descriptor Model (FDM), and perceptive Convolutional Neural Network (CNN) with Support Vector Machine (SVM) comparison engine. The originality of our work lies partly in the system architecture which apprehends complementary dynamic, geometric, and visual representation of the examined handwritten scripts and in the efficient selected features<br>adapted to various handwriting styles and multiple script languages such as Arabic, Latin, digits, and symbol drawing. The application offers two interactive interfaces respectively dedicated to learners, educators, experts or teachers and allows them to adapt it easily to the specificity of their disciples. The evaluation of our framework is enhanced by a database collected in Tunisia primary school with 400 children. Experimental results show the efficiency and robustness of our suggested framework that helps teachers and children by offering positive feedback throughout the handwriting learning process using tactile digital devices.<br>

scholarly journals PEMANFAATAN MEDIA FOTO KARIKATUR UNTUK MENAIKKAN KETERAMPILAN MENULIS TEKS ANEKDOT PADA SISWA KELAS X MAN 1 PIDIE

2021 ◽  
Vol 2 (1) ◽  
pp. 107-116
Author(s):  
Nanda Saputra ◽  
Miswar Saputra
Keyword(s):  
Writing Skills ◽  
Female Students ◽  
Male Students ◽  
Analysis Method ◽  
Qualitative And Quantitative Analysis ◽  
Information Analysis ◽  
Research Subjects ◽  
Qualitative And Quantitative ◽  
Average Value ◽  
Field Notes

Riset ini bertujuan untuk mendeskripsikan penerapan pendidikan menulis bacaan anekdot dengan media foto karikatur pada siswa kelas X MAN 1 Pidie serta kenaikan keterampilan menulis bacaan anekdot pada siswa kelas X MAN 1 Pidie sesudah mendapatkan pendidikan dengan media foto karikatur. Riset ini ialah riset aksi kelas (PTK), yang dilaksanakan dalam 3 siklus. Tiap siklus terdiri dari 4 tahapan, ialah perencanaan, penerapan, observasi, serta refleksi. Subyek riset ini merupakan siswa kelas X MAN 1 Pidie dengan jumlah siswa 34 orang yang terdiri dari 15 siswa wanita serta 19 siswa pria. Metode pengumpulan informasi dicoba dengan uji, observasi, serta catatan lapangan. Metode analisis informasi yang digunakan merupakan analisis kualitatif serta kuantitatif. Hasil analisis informasi menampilkan kalau kenaikan keahlian menulis bacaan anekdot pada siswa kelas X MAN 1 Pidie terjalin sesudah memakai media foto karikatur. Perolehan nilai rata- rata pada siklus I: 62, 35%, siklus II: 78, 8%, serta siklus III: 88, 9%. Dengan demikian bisa disimpulkan, pemakaian media foto karikatur dapat meningkatkan keahlian menulis bacaan anekdot, serta guru tetap tingkatkan keahliannya dalam memakai media foto karikatur. Perihal ini nampak dari siklus yang diperoleh siswa pada tiap- tiap siklus. This research aims to describe the application of anecdotal reading writing education using caricature photo media in class X MAN 1 Pidie students and the increase in anecdotal reading writing skills in class X MAN 1 Pidie students after receiving education using caricature photo media. This research is a classroom action research (CAR), which is carried out in 3 cycles. Each cycle consists of 4 stages, namely planning, implementing, observing, and reflecting. The research subjects were students of class X MAN 1 Pidie with a total of 34 students consisting of 15 female students and 19 male students. The method of collecting information was tried by testing, observation, and field notes. The information analysis method used is qualitative and quantitative analysis. The results of the information analysis show that the increase in anecdotal reading writing skills in class X MAN 1 Pidie was intertwined after using caricature photo media. The average value obtained in cycle I: 62, 35%, cycle II: 78, 8%, and cycle III: 88, 9%. Thus, it can be concluded that the use of caricature photo media can improve writing skills for anecdotal reading, and teachers can continue to improve their skills in using caricature photo media. This matter can be seen from the cycle that students get in each cycle.

scholarly journals Using Digital Mind Mapping to Improve Writing Skills

2021 ◽  
Vol 4 (2) ◽  
pp. 271
Author(s):  
Medyana Inna Sairo ◽  
Ni Made Ratminingsih ◽  
I Gede Arya Sudira
Keyword(s):  
Teaching And Learning ◽  
Writing Skills ◽  
Research Data ◽  
Average Score ◽  
Student Interest ◽  
Qualitative And Quantitative Analysis ◽  
Research Subjects ◽  
Mind Mapping ◽  
Qualitative And Quantitative ◽  
Post Test

There are still many students who lack writing skills. Students are confused about starting a discussion or determining ideas, and the lack of vocabulary makes it difficult for students to write. This study aims to analyze the use of digital mind mapping to improve students' writing skills. This type of research is classroom action research which will be divided into two cycles. cycle 1 in 3 sessions and cycle 2 in 2 sessions. The research subjects were 33 students. The methods used in collecting research data are observation, interviews, and tests. The instruments used to collect data are questionnaires and test sheets. The technique used to analyze the data is descriptive qualitative and quantitative analysis. The results showed that Digital Mind Mapping was effective for improving students' abilities. It was found that the average score of students in the pre-test was 24%,  increased to 90% in the post-test I and in the post-test II. There was an increase in the number of students who had not previously achieved the KKM. The increase in the average score of students is also supported by student interest during the teaching and learning process because the method uses technology. In addition, the students found that the Digital Mind Mapping activity helped them organize students' ideas, become critical thinking, creative and improve students' writing.

scholarly journals Teaching Writing to Second Language Learners: Bench-marking Strategies for Classroom

2017 ◽  
Author(s):  
Arab World English Journal ◽  
Syed Sarwar Hussain
Keyword(s):  
Second Language ◽  
Language Learners ◽  
Second Language Learners ◽  
Writing Skills ◽  
Teaching Writing ◽  
Qualitative And Quantitative Analysis ◽  
Statistical Software ◽  
Qualitative And Quantitative ◽  
Cross Tabulation ◽  
Mixed Approach

This study assesses teaching writing skills to the second language learners by utilizing bench-marking strategies of classroom. The study has used mixed approach of qualitative and quantitative analysis to evaluate learning and writing skills of second language among 400 students from different primary and secondary schools in Riyadh. The teachers were instructed to fill an assessment form to evaluate skills of students in learning second language through Bench-marking techniques of brainstorming, fable writing, speed writing, loop writing, and mini saga. The data was analyzed using a statistical software (SPSS) 20.0 version. Cross tabulation technique has been applied on the data collected through questionnaires to observe the appropriate responses of the teachers. The results revealed that 75% of the students were interested in learning writing in second language. Brainstorming technique (56.3%) was found to be most popular among the students and teachers. The majority of the teachers (84.4%) believe that acquiring writing skills is the toughest task for the second language learners. Moreover, brainstorming (p=0.000), narrating fables (p=0.002), and loop writing (0.000) were significant among students for learning second language. It has been concluded that the technique of brainstorming was effective among the students to learn writing skills in second language.

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