Ontology-based modeling student learning behaviour analysis in digital library domain knowledge using Markov chain and GUHA

2015 ◽  
Author(s):  
F. Mary Harin Fernandez ◽  
R. Ponnusamy
Keyword(s):  
Markov Chain ◽  
Student Learning ◽  
Digital Library ◽  
Domain Knowledge ◽  
Learning Behaviour ◽  
Behaviour Analysis

scholarly journals PENERAPAN MODEL COOPERATIVE LEARNING TERHADAP PEMBELAJARAN PENDIDIKAN AGAMA ISLAM DALAM PEMBENTUKAN PERILAKU BELAJAR SISWA MADRASAH TSANAWIYAH AL IKHLAS MOWEWE

2018 ◽  
Vol 4 (2) ◽  
pp. 145
Author(s):  
Muhammad Nur
Keyword(s):  
High School ◽  
Cooperative Learning ◽  
Student Learning ◽  
Junior High School ◽  
Junior High ◽  
Group Discussion ◽  
Secondary Data ◽  
Islamic Education ◽  
Learning Behaviour ◽  
Objective Condition

The object of this thesis is to research the application of cooperative learning model on learning of Islamic education in establishing students learning behaviour at Al-Ikhlash Islamic Junior High School of Mowewe. The purpose of this study is to analyze the application of Cooperative Leaning Model in establishing student learning behaviour.The research used qualitative approach, and case study method with descriptive analysis.Primary data sourcedfrom Head of Madrasah, teachers and students. While the secondary data sourced from data about the objective condition of Al-Ikhlas Islamic Junior High School of Mowewe which is detailed, processed, and analyzed. The research technique included observation, interviews, and documentation. Data is processed and analyzed through reduction, presentation, and data conclusions. Validity test data include credibility and confirmbility test.The results of this study are The application of Cooperative Learning on the Islamic education learning in student learning behaviour is done through three types: learning together, group discussion, and Jigsaw.The implication of this study is expected to inform and contribute in educational improvement. It hoped from the application of Cooperative Learning in Islamic education learning in student learning behaviour to createthe policies and wisdom to deal the complexity of learning problems.

scholarly journals Recommender System for Stimulating the Learning Skill of Slow Learner in Higher Educational Institution using EDM

2019 ◽  
Vol 8 (2) ◽  
pp. 1962-1966
Keyword(s):  
Data Mining ◽  
Student Learning ◽  
Student Performance ◽  
Recommender System ◽  
Educational Institution ◽  
Research Work ◽  
Educational Data Mining ◽  
Slow Learner ◽  
Learning Behaviour ◽  
Higher Educational

Educational data mining is a prominent area to predict the student learning behaviour. A regular analysis of student learning behaviour is used to improve the quality of the academic institution. This paper focuses on the identification of slow learner in the higher educational institution and showing it by educational data mining model. The student performance data from higher educational institution is taken and applied on the classification algorithm using WEKA tool. A recommender system is developed in this research work to stimulate the learning skills of slow learner.

scholarly journals The Development of E-Learning Teaching Material Based on Edmodo on Basic Competencies of National Integration at Class X of Senior High School

2019 ◽  
Vol 4 (2) ◽  
pp. 382
Author(s):  
Linda Solehana ◽  
Asrori Asrori ◽  
Andy Usman
Keyword(s):  
Student Learning ◽  
Development Model ◽  
Teaching Material ◽  
Design Development ◽  
Learning Behaviour ◽  
Teaching Materials ◽  
Learning Materials ◽  
National Integration ◽  
Basic Competencies ◽  
E Learning

This research aims to determine (1) the design of E-learning teaching materials, (2) steps for using Edmodo-based learning materials (3) student learning behaviour in learning using Edmodo-based E-learning. The development model used is a procedural model adapted from the instructional design development model according to Dick &amp; Carey while the development research model used is in accordance with Borg &amp; Gall. The instrument used was in the form of a questionnaire instrument, interview guidelines and observation guidelines (observations). The data analysis used in this study is qualitative descriptive statistics. Noting the validation of experts and the results of trials in the field, it can be concluded that: (1) Edmodo-based E-learning teaching materials on Basic Competence (KD) of National Integration are appropriate to use for Class X (Grade 10<sup>th</sup>) SMA PPKn subjects; (2) Clarity of instructions for using E-learning teaching materials is considered good; (3) Changes in student learning behaviour are students who look very enthusiastic about learning by using E-learning teaching materials; (4) Edmodo-based E-learning materials are considered effective in achieving the learning objectives of the PPKn; (5) Edmodo-based E-learning teaching materials have a high time and place efficiency with regard to the limitations of available teaching materials; (6) Edmodo-based E-learning teaching material is a strategy for delivering messages that have high competitiveness. For research on the development of E-learning teaching materials based on Edmodo that will come to be more refined and better in order to support the smooth learning process.

Bayesian Applications in Auditory Research

2019 ◽  
Vol 62 (3) ◽  
pp. 577-586 ◽  
Author(s):  
Garnett P. McMillan ◽  
John B. Cannon
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Bayesian Methods ◽  
Prior Distribution ◽  
Interim Analysis ◽  
Iterative Process ◽  
Bayes Theorem ◽  
Sound Therapy ◽  
The Many ◽  
Auditory Research

Purpose This article presents a basic exploration of Bayesian inference to inform researchers unfamiliar to this type of analysis of the many advantages this readily available approach provides. Method First, we demonstrate the development of Bayes' theorem, the cornerstone of Bayesian statistics, into an iterative process of updating priors. Working with a few assumptions, including normalcy and conjugacy of prior distribution, we express how one would calculate the posterior distribution using the prior distribution and the likelihood of the parameter. Next, we move to an example in auditory research by considering the effect of sound therapy for reducing the perceived loudness of tinnitus. In this case, as well as most real-world settings, we turn to Markov chain simulations because the assumptions allowing for easy calculations no longer hold. Using Markov chain Monte Carlo methods, we can illustrate several analysis solutions given by a straightforward Bayesian approach. Conclusion Bayesian methods are widely applicable and can help scientists overcome analysis problems, including how to include existing information, run interim analysis, achieve consensus through measurement, and, most importantly, interpret results correctly. Supplemental Material https://doi.org/10.23641/asha.7822592

Collaborative Learning in the Speech-Language Pathology and Audiology Classroom

2008 ◽  
Vol 11 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Carolyn S. Potts ◽  
Sarah M. Ginsberg
Keyword(s):  
Collaborative Learning ◽  
Student Retention ◽  
Student Learning ◽  
Student Learning Outcomes ◽  
Retention Rates ◽  
Speech Language Pathology ◽  
Traditional Lecture ◽  
Language Pathology ◽  
Improve Student Learning

Abstract In recent years, colleges and universities across the country have been called upon to increase the quality of education provided and to improve student retention rates. In response to this challenge, many faculty are exploring alternatives to the traditional “lecture-centered” approach of higher education in an attempt to increase student learning and satisfaction. Collaborative learning is one method of teaching, which has been demonstrated to improve student learning outcomes.

Sign in / Sign up

Export Citation Format

Share Document