An Adaptive Online Learning Model for Flight Data Cluster Analysis

2018 ◽  
Author(s):  
Weizun Zhao ◽  
Fang He ◽  
Lishuai Li ◽  
Gang Xiao
Keyword(s):  
Cluster Analysis ◽  
Online Learning ◽  
Learning Model ◽  
Flight Data ◽  
Adaptive Online Learning

Quality of life, physical activity and burnout syndrome during online learning period in Brazilian university students during the COVID-19 pandemic: a cluster analysis

2021 ◽  
pp. 1-15
Author(s):  
Diana Vilela Azzi ◽  
Júlia Melo ◽  
Armindo de Arruda Campos Neto ◽  
Paula Midori Castelo ◽  
Eric Francelino Andrade ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cluster Analysis ◽  
Online Learning ◽  
University Students ◽  
Burnout Syndrome

scholarly journals PENGARUH MODEL PEMBELAJARAN LURING DAN MODEL PEMBELAJARAN DARING TERHADAP PRESTASI BELAJAR SISWA METTA SCHOOL

2021 ◽  
Vol 35 (2) ◽  
pp. 105-113
Author(s):  
Wina Dhamayanti ◽  
Silvya Indraningtyas ◽  
Adji Sastrosupadi
Keyword(s):  
Elementary School ◽  
Online Learning ◽  
Elementary School Students ◽  
Learning Model ◽  
Report Cards ◽  
School Students ◽  
Model Learning ◽  
Learning Achievement ◽  
Offline Learning ◽  
The Difference

Penelitian ini bertujuan untuk mengetahui perbedaan pengaruh antara model pembelajaran luring dan model pembelajaran daring terhadap prestasi belajar siswa SD Metta School Surabaya. Desain yang digunakan dalam penelitian berbentuk eksperimen dengan pendekatan kuantitatif. Instrumen yang digunakan dalam penelitian ini adalah angket yang disebarkan kepada 44 siswa SD dari kelas III-VI dan dokumen berupa nilai raport siswa. Data yang telah diperoleh dari penyebaran angket kemudian dianalisis menggunakan skala likert dan diuji dengan menggunakan uji-z. Hasil penelitian ini menunjukkan bahwa model pembelajaran luring dan model pembelajaran daring ada pengaruh terhadap prestasi belajar, jika ditinjau dari persen capaian sebesar 95% dan 79,75%. Selanjutnya berdasarkan uji-z diperoleh nilai signifikansi 6,827> , sehingga dapat disimpulkan bahwa ada pengaruh yang sangat nyata pada model pembelajaran luring dan model pembelajaran daring terhadap prestasi belajar. Jadi, peran guru dalam proses pembelajaran sangat penting untuk memancing motivasi belajar anak. Hal tersebut, juga harus didorong oleh usaha peserta didik dalam kegiatan belajar, sehingga pengalaman yang diperolehnya dapat memberikan manfaat dalam belajar. Kata-kata Kunci: Luring, Daring, Prestasi Belajar   Abstract: The study aims to determine the difference in the effect of offline learning model and online learning model on student achievement at Metta School Surabaya Elementary School. The design used in this research is in the form of an experiment with a quantitative approach. The instrument used in this study was a questionnaire distributed to 44 elementary school students from grades III-VI and a document in the form of student report cards. Data obtained from questionnaire distribution and then analyzed using a Likert scale and tested using the z-test. The results of this study indicate that the offline learning model and online learning model have an influence on learning achievement, when viewed from the percentage of achievement of 95% and 79,75%. Furthermore, based on the z-test, a significance value of 6,827>  was obtained, so it can be concluded that there is a very significance effect on the offline learning model and online learning model on learning achievement. Keywords: Offline Learning Model, Online Learning Model, Learning  Achievement

scholarly journals Brain-Based Online Learning Design in The Disruptive Era for Students in University

2021 ◽  
Vol 11 (6) ◽  
pp. 277
Author(s):  
Andi Kristanto ◽  
. Sulistiowati ◽  
Hirnanda Dimas Pradana
Keyword(s):  
Online Learning ◽  
Learning Process ◽  
Field Trials ◽  
Learning Model ◽  
Learning Design ◽  
Development Research ◽  
Design Development ◽  
Learning Materials ◽  
Percentage Score ◽  
The Brain

The learning model is a collection of activities that occur during the teaching and learning process with the objective of achieving the set goals. The brain-based online learning model developed is a solution to the students' learning problems. The majority of students struggle to interpret all of the learning materials they receive. This resulted in students' dissatisfaction with the learning materials. The purpose of this research is to develop a brain-based online learning process design based on the aforementioned problems. The Lee & Owens model of development was used in this development research. The stages of the Lee & Owens development model are analysis, design, development, implementation, and evaluation. The development research findings are as follows: (1) the media experts' assessment, which resulted in an 89.35% score with a valid category. (2) The assessment of the developed learning materials by material experts resulted in a score of 91.23% with a valid category. (3) expert evaluation, with an overall score of 86.35% for having a valid category. (4) The results of individual trials produced a percentage score of 88.5% with a valid category. (5) The results of small group trials indicated an overall percentage score of 81.60% of valid categories. (6) Field trials are classified as valid when they receive a percentage of 79.89%. The results of the development indicate that the brain-based online learning design is feasible for use.   Received: 11 August 2021 / Accepted: 27 October 2021 / Published: 5 November 2021

scholarly journals Adaptive Learning Model Based on Ant Colony Algorithm

2019 ◽  
Vol 14 (01) ◽  
pp. 49 ◽  
Author(s):  
Rongxia Li
Keyword(s):  
Adaptive Learning ◽  
Ant Colony Algorithm ◽  
Learning Model ◽  
Learning Objects ◽  
Ant Colony ◽  
Learning Path ◽  
Knowledge Levels ◽  
Actual Learning ◽  
Learning Frameworks ◽  
Adaptive Online Learning

To better respond to people’s demands for multimedia learning, appropriate learn-ing paths should be offered based on their actual learning demands and different knowledge levels. Adaptive online learning model integrates and improves exist-ing learning frameworks to offer a set of knowledge paths that can cater to dif-fer7ent preferences, tastes, and knowledge levels of learners, no need for them to be aware of this. Based on the improved ant colony algorithm, an adaptive learn-ing system model that can satisfy learners’ demands is built herein with reference to the foraging approach of ants to traverse the paths, thereby to find the best learning path, while the classification method for some learning objects can de-termine the search parameters. This innovative approach proposed hereof can help improve learners' academic performance and learning efficiency.

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