Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 12 Issue 7
Scandura Structure-Based E-Learning: Improving Science Learning Outcomes (Natural Science) for Junior High School Students
Josua Fransisko Munthe, R. Mursid, Baharuddin
10.7753/IJCATR1207.1013
keywords : e-learning; learn the structure of scandura; IPA
The aims of this study were to: (1) determine the feasibility of Scandura structure-based e-learning in science subjects; (2) know the practicality of Scandura structure-based e-learning in science subjects; and (3) determine the effectiveness of Scandura structure-based e-learning in science subjects. The type used by researchers is Research and development (R&D). The research subjects were students of SMP Negeri 2 Balige, Toba Regency. The object of this study was an e-learning tool that was used by 64 students in classes VIIIA and VIIIB (32 students in each class). The results showed that the feasibility of e-learning based on Scandura's structure was tested through the validation of material and media experts, with an average score of 3.85% and a percentage of 96% on the criteria of very Suitable for Science subjects at SMP Negeri 2 Balige. The practicality of e-learning based on Scandura's learning structure was tested on science teachers, with an average percentage of 3.22 (80.56%) in the Very Suitable category for science subjects. The effectiveness of e-learning based on Scandura's structure learning tested with N-Gain was found to be 61.84% in the Moderate criteria. The feasibility of e-learning in VIII IPA in Phase D can be said to be feasible for use in enhancing science learning in class and outside the classroom for students.
@artical{j1272023ijcatr12071013,
Title = "Scandura Structure-Based E-Learning: Improving Science Learning Outcomes (Natural Science) for Junior High School Students",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "12",
Issue ="7",
Pages ="84 - 90",
Year = "2023",
Authors ="Josua Fransisko Munthe, R. Mursid, Baharuddin"}
.