cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andrian Saputra
Contact Email
jurnal@fkip.unila.ac.id
Phone
+6285768233166
Journal Mail Official
jurnal@fkip.unila.ac.id
Editorial Address
FKIP Universitas Lampung Jl. Prof. Dr. Ir. Sumantri Brojonegoro, Gedong Meneng, Kec. Rajabasa, Kota Bandar Lampung
Location
Kota bandar lampung,
Lampung
INDONESIA
Jurnal Pendidikan Progresif
Published by Universitas Lampung
ISSN : 20879849     EISSN : 25501313     DOI : https://doi.org/10.23960/jpp
Core Subject : Education,
Education
urnal Pendidikan Progresif is an academic journal that published all the studies in the areas of education, learning, teaching, curriculum development, learning environments, teacher education, educational technology, educational developments from various types of research such as surveys, research & development, experimental research, classroom action research, etc. Jurnal Pendidikan Progresif covers all the educational research at the level of primary, secondary, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Education. Topics of Interest include, but are not limited to, the following Disaster literacy and Risk Management Education Ethnopedagogy-based STEM Education Integrating technology into the curriculum: Challenges & Strategies Collaborative & Interactive Learning Tools for 21st Century learning Learning Analysis Education Management Systems Education Policy and Leadership Business Education Virtual and remote laboratories Pedagogy Enhancement with E-Learning Course Management Systems Teacher Evaluation Curriculum, Research, and Development Web-based tools for education Games and simulations in Education Learning / Teaching Methodologies and Assessment Counselor Education Student Selection Criteria in Interdisciplinary Studies Global Issues in Education and Research Technology Support for Pervasive Learning Artificial Intelligence, Robotics and Human-computer Interaction in Education Mobile/ubiquitous computing in education Web 2.0, Social Networking, Blogs and Wikis Multimedia in Education Educating the educators Professional Development for teachers in ICT
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 1 Documents
 1 
Search results for "Student Readiness Scores a Rasch Model" : 1 Documents clear
Student Readiness Scores a Rasch Model’s for Facing E-Learning Using Decision Tree and Ensemble Methods Antika, Ester; Nurdiati, Sri; Junus, Kasiyah; Najib, Mohamad Khoirun
Jurnal Pendidikan Progresif Vol 14, No 1 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: Prediction of Rasch Model’s Student Readiness Scores for Facing E-Learning Using Decision Tree and Ensemble Methods. Objective: This research aims to predict student readiness score in facing e-learning using Rasch models and machine learning. Methods: This research is a quantitative research using a non test instrument ini the form of a questionnaire using a Likert scale. The sample used were IPB University students. Analysis techniques use Rasch model, decision tree, and ensemble. Finding: Item reliability value is 0,93, person reliability value is 0,97, and cronbachalpha is 0,99. The standard deviation value is 2,34 and the average logit of respondents is 1,9. 34% of students have high readiness with a person measure value >2,34. 4% of students have moderate readiness with a score of 1,9 < person measure < 2,34. 62% of students have low readiness with a person measure value < 1,9. The accuracy of the decision tree model reached 75,97%. Conclusion: Based on person measure from the Rasch model, it can be concluded that the majority of respondents (62%) have low ability to carry out e-learning. Male students and those who have experience in dealing with e-learning have a higher percentage of having high ability in dealing with e-learning at the university level. Moreover, machine learning models are able to predict students' abilities in dealing with e-learning based on the measure score from the Rasch model. Furthermore, ensemble models are able to increase the accuracy of decision tree models. We found that the ensemble model with the LogitBoost (adaptive logistic regression) method provides best model in term of its accuracy (82.17%) and execution time. Keywords: decision tree, e-learning, ensemble, machine learning, rasch model.DOI: http://dx.doi.org/10.23960/jpp.v14.i1.202437

Page 1 of 1 | Total Record : 1

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 15, No 4 (2025): Jurnal Pendidikan Progresif Vol 15, No 3 (2025): Jurnal Pendidikan Progresif Vol 15, No 2 (2025): Jurnal Pendidikan Progresif Vol 15, No 1 (2025): Jurnal Pendidikan Progresif Vol 14, No 3 (2024): Jurnal Pendidikan Progresif Vol 14, No 2 (2024): Jurnal Pendidikan Progresif Vol 14, No 1 (2024): Jurnal Pendidikan Progresif Vol 13, No 3 (2023): Jurnal Pendidikan Progresif Vol 13, No 2 (2023): Jurnal Pendidikan Progresif Vol 13, No 1 (2023): Jurnal Pendidikan Progresif Vol 12, No 3 (2022): Jurnal Pendidikan Progresif Vol 12, No 2 (2022): Jurnal Pendidikan Progresif Vol 12, No 1 (2022): Jurnal Pendidikan Progresif Vol 11, No 3 (2021): Jurnal Pendidikan Progresif Vol 11, No 2 (2021): Jurnal Pendidikan Progresif Vol 11, No 1 (2021): Jurnal Pendidikan Progresif Vol 10, No 3 (2020): Jurnal Pendidikan Progresif Vol 10, No 2 (2020): Jurnal Pendidikan Progresif Vol 10, No 1 (2020): Jurnal Pendidikan Progresif Vol 9, No 2 (2019): Jurnal Pendidikan Progresif Vol 9, No 1 (2019): Jurnal Pendidikan Progresif Vol 8, No 2 (2018): Jurnal Pendidikan Progresif Vol 8, No 1 (2018): Jurnal Pendidikan Progresif Vol 7, No 2 (2017): Jurnal Pendidikan Progresif Vol 7, No 1 (2017): Jurnal Pendidikan Progresif Vol 6, No 2 (2016): Jurnal Pendidikan Progresif Vol 6, No 1 (2016): Jurnal Pendidikan Progresif More Issue