scholarly journals Hybrid Model-Based Learning Learning in Welcome Era Industrial Revolution 4.0

2019 ◽  
Vol 1 (1) ◽  
pp. 46
Author(s):  
Siti Nurul Hidayah
Keyword(s):  
Big Data ◽  
Hybrid Model ◽  
Industrial Revolution ◽  
Hybrid Learning ◽  
Learning Model ◽  
Model Based

Penelitian ini bertujuan untuk memberikan solusi dan informasi kepada dunia pendidikan mengenai model pembelajaran yang efektif dan interaktif dalam menyongsong masa revolusi industri 4.0. Fokus penelitian ini adalah dengan adanya model pembelajaran berbasis hybrid learning. Model pembelajaran yang menggabungkan atau menyatukan antara pembelajaran secara  online dengan pembelajaran secara bertatap muka dengan peserta didik, karena dalam masa revolusi industri 4.0 ditandai dengan kemajuan teknologi informasi sebagai media utama dalam kehidupannya. Metode dalam penelitian ini yaitu dengan menggunakan pendekatan kualitatif deskriptif dengan teknik pengambilan data melalui studi pustaka. Hasil penelitian ini menunjukkan bahwa model pembelajaran berbasis Hybrid Learning  efektif digunakan dalam pengajaran di kelas pada dunia pendidikan di masa revolusi 4.0 ini, karena metode ini adalah metode yang menggabungkan 2 cara yaitu pengajaran dengan online dan tatap muka, yang mana dalam era revolusi industri 4.0 lebih mengedepankan teknologi atau era big data. Maka dari itu guru maupun dosen perlu berinovasi dalam menyongsong masa revolusi industri 4.0 dengan model pembelajaran yang efektif dan interaktif seperti Hybrid Learning.

scholarly journals Categorizing Diseases from Leaf Images Using a Hybrid Learning Model

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2073
Author(s):  
Devi N. ◽  
Leela Rani P. ◽  
Guru Gokul AR. ◽  
Raju Kannadasan ◽  
Mohammed H. Alsharif ◽  
...  
Keyword(s):  
Hybrid Model ◽  
Clustering Algorithm ◽  
Hybrid Learning ◽  
Critical Issue ◽  
Learning Model ◽  
Rapid Identification ◽  
Plant Diseases ◽  
Support Vector ◽  
Learning Machine ◽  
Occurrence Matrix

Plant diseases pose a severe threat to crop yield. This necessitates the rapid identification of diseases affecting various crops using modern technologies. Many researchers have developed solutions to the problem of identifying plant diseases, but it is still considered a critical issue due to the lack of infrastructure in many parts of the world. This paper focuses on detecting and classifying diseases present in the leaf images by adopting a hybrid learning model. The proposed hybrid model uses k-means clustering for detecting the disease area from the leaf and a Convolutional Neural Network (CNN) for classifying the type of disease based on comparison between sampled and testing images. The images of leaves under consideration may be symmetrical or asymmetrical in shape. In the proposed methodology, the images of various leaves from diseased plants were first pre-processed to filter out the noise present to get an enhanced image. This improved image enabled detection of minute disease-affected regions. The infected areas were then segmented using k-means clustering algorithm that locates only the infected (diseased) areas by masking the leaves’ green (healthy) regions. The grey level co-occurrence matrix (GLCM) methodology was used to fetch the necessary features from the affected portions. Since the number of fetched features was insufficient, more synthesized features were included, which were then given as input to CNN for training. Finally, the proposed hybrid model was trained and tested using the leaf disease dataset available in the UCI machine learning repository to examine the characteristics between trained and tested images. The hybrid model proposed in this paper can detect and classify different types of diseases affecting different plants with a mean classification accuracy of 92.6%. To illustrate the efficiency of the proposed hybrid model, a comparison was made against the following classification approaches viz., support vector machine, extreme learning machine-based classification, and CNN. The proposed hybrid model was found to be more effective than the other three.

scholarly journals Kemampuan Berpikir Kreatif dan Hasil Belajar Matematika Siswa Menggunakan Model Pembelajaran Project-Based Learning Berbasis Pendekatan STEM

Jurnal Elemen ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 209-220
Author(s):  
I Wayan Widana ◽  
◽  
Kadek Lisa Septiari ◽  
Keyword(s):  
Learning Outcomes ◽  
Creative Thinking ◽  
Industrial Revolution ◽  
Mathematics Learning ◽  
Thinking Skills ◽  
Learning Model ◽  
Project Based Learning ◽  
Control Group ◽  
Model Based ◽  
And Mathematics

¬Creative thinking is one of the competencies needed in the Industrial Revolution 4.0, where change is very dynamic, so it must be balanced with an irregular way of thinking. This study analyzes the effect of the project-based learning models on the STEM approach to creative thinking skills and mathematics learning outcomes. The population was grade VII students of SMP PGRI 6 Denpasar in the 2019/2020 school year. The sample of the experimental class and the control class used the random sampling technique. The experimental class was given treatment with a project-based learning model based on the STEM approach, while the control group used a conventional project-based learning model. Data on creative thinking skills were collected using a questionnaire, and data on mathematics learning outcomes were collected using essay tests. Data were analyzed using the Manova test. The results of the study: there is an effect of the STEM approach-based project-based learning model on creative thinking skills; there is an effect of project-based learning model based on STEM approach on mathematics learning outcomes; there is an effect of the project-based learning model based on the STEM approach together on creative thinking skills and mathematics learning outcomes.

scholarly journals Developing a hybrid learning model based on Moodle e-learning in Linguistics course

2021 ◽  
Vol 4 (2) ◽  
pp. 73-77
Author(s):  
Abdullah Abdullah ◽  
Ahmad Talib ◽  
Iskandar Iskandar
Keyword(s):  
Learning Strategies ◽  
Course Design ◽  
English Education ◽  
Hybrid Learning ◽  
Learning Model ◽  
Instructional Materials ◽  
English Department ◽  
Teaching Materials ◽  
Model Based ◽  
E Learning

This study aims to create a hybrid learning model, and Linguistics course instructional materials to improve students' language knowledge, theories, and skills, particularly in the English department. A research design and development process were used to construct the learning model and instructional materials. This research entails a lengthy process of determining the needs of students and developing Linguistics products or course material to improve students' capacity or skills in learning language through hybrid learning using a Moodle platform (e-learning). The participants in this study are English department students from Faculty of Languages and Literature, Universitas Negeri Makassar. The students in the English Education and Literature department served as the study's sample. The study's findings revealed a hint of a hybrid learning model based on Moodle e-learning, syllabus, Linguistics course design instructional material, and student’s worksheet activities or exercises. The creation of a Moodle-based hybrid learning model in the Linguistics course, which includes learning procedures and steps, teaching materials, and assessment of learning outcomes, is intended to improve student learning abilities, particularly in the English Department, which includes aspects of knowledge, attitudes, and skills under today's curriculum demands. The Linguistics course's teaching materials were built on a Moodle-based hybrid learning paradigm that adheres to active, interactive, and communicative learning concepts. In this learning, active, creative, and communicative learning strategies and techniques and flexible learning strategies and methods are extremely conceivable.

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