The Application of Blended Learning with a Community Science Technology Approach to Improve Student Learning Outcomes in Higher Education

被引：3

作者：

Huda N. ^{[1
]}

Mustaji ^{[1
]}

Arianto F. ^{[1
]}

Ayubi N. ^{[1
]}

机构：

[1] Universitas Negeri Surabaya, Surabaya

来源：

International Journal of Emerging Technologies in Learning | 2022年 / 17卷 / 14期

关键词：

blended learning; community science technology; learning outcomes;

D O I：

10.3991/ijet.v17i14.32927

中图分类号：

学科分类号：

摘要：

This study aims to analyze the effect of the blended learning science and technology community approach on student learning outcomes in higher education. The research design used in this study was quasi-experimental with The Matching - Only Post - test - Only Control Group Design. A total of 120 students participated in this study. Subjects were divided into 2 groups, namely the control group (K1) and the treatment group (K2). The instrument of learning outcomes items will first be tested for validity and reliability, then the learning outcomes data that have been obtained will be analyzed using the independent t-test method. The results of this study indicate that the data from the validity test items of the learning outcomes test instrument, out of 40 question items, there are 38 items that are declared valid. reliability test results with an alpha coefficient of 0.880 so that the learning outcomes test instrument is said to be reliable and consistent in data collection. The results of the t-test obtained P <0.05, meaning that there is a significant effect of blended learning with the science technology approach of society on learning outcomes. It can be concluded that blended learning with a community science technology approach can improve student learning outcomes in higher education. It is hoped that blended learning can be used and developed again in learning in higher education. © 2022. All Rights Reserved.

引用

页码：246 / 252

页数：6

共 21 条

[1]

Gibbons M., Rhinehart M, Hardin E., How First-Generation College Students Adjust to College, J. Coll. Student Retent. Res. Theory Pract, 20, 4, pp. 488-510, (2019)

[2]

Wang F., Biro E., Determinants of sleep quality in college students: A literature review, Explore, 17, 2, pp. 170-177, (2021)

[3]

Alajmi A., Al-Kandari M. M., Calculus 1 college students' concept of function, Int. J. Math. Educ. Sci. Technol, 53, 2, pp. 251-268, (2022)

[4]

Shulder R., Hall E., Miller P. C., The Influence of Exercise and Caffeine on Cognitive Function in College Students, Health (Irvine. Calif), 8, 2, pp. 156-162, (2016)

[5]

Ross J., Et al., Developing an implementation strategy for a digital health intervention: an example in routine healthcare, BMC Health Serv. Res, 18, 794, pp. 1-13, (2018)

[6]

Majid N., Fuada S., E-Learning for society: A great potential to implement education for all (EFA) movement in Indonesia, Int. J. Interact. Mob. Technol, 14, 2, pp. 250-258, (2020)

[7]

Utami A, Purnomo A., Noviyanti M., Anam F., Mahsunah E., Student Centered Learning and Flipped Classroom of Lesson Study: A Case Study in Higher Education, Middle Eur. Sci. Bull, 14, 1, pp. 1-7, (2021)

[8]

Schulz K. P., Finstad-Milion K., Janczak S., Educating corporate sustainability - A multidisciplinary and practice-based approach to facilitate students' learning, J. Clean. Prod, 198, 10, pp. 996-1006, (2018)

[9]

Cheng M. Y., Kusoemo D., Gosno R, Text mining-based construction site accident classification using hybrid supervised machine learning, Autom. Constr, 118, 10, (2020)

[10]

Fuad A. Z., Alfin J., Fauzan, Astutik S., Prahani B. K., Group Science Learning model to improve collaborative problem solving skills and self-confidence of primary schools teacher candidates, Int. J. Instr, 12, 3, pp. 119-132, (2019)

← 1 2 3 →