다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
한국도서관 정보학회지 = Journal of Korean Library and Information Science Society, v.53 no.3, 2022년, pp.263 - 285
나경식 (Konkuk University, Department of Library and Information Science) , 정용선 (Dongshin University, Nursing Science)
AI-Helper
This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middl...
Abbas, J., Aman, J., Nurunnabi, M., & Bano, S. (2019). The impact of social media on learning behavior for sustainable education: evidence of students from selected universities in Pakistan. Sustainability, 11(6), 1683.
Al Kurdi, B., Alshurideh, M., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020). An empirical investigation into examination of factors influencing university students' behavior towards elearning acceptance using SEM approach. International Journal of Interactive Mobile Technologies (iJIM), 14(2), 19-41. https://doi.org/https://doi.org/10.3991/ijim.v14i02.11115
Ali, M. K. & Maksum, H. (2020). Utilization of E-Learning-Based ICT Learning using the Google Classroom application during the COVID-19 pandemic. Journal of Educational Research and Evaluation, 4(4), 373-380. https://ejournal.undiksha.ac.id/index.php/JERE
Ansari, J. A. N. & Khan, N. A. (2020). Exploring the role of social media in collaborative learning the new domain of learning. Smart Learning Environments, 7(1), 9. https://doi.org/10.1186/s40561-020-00118-7
Audrin, C. & Audrin, B. (2022). Key factors in digital literacy in learning and education: a systematic literature review using text mining. Education and Information Technologies, 27(6), 7395-7419. https://doi.org/10.1007/s10639-021-10832-5
Blaschke, L. M. (2014). Using social media to engage and develop the online learner in self-determined learning. Research in Learning Technology, 22(0). https://doi.org/10.3402/rlt.v22.21635
Briz, L., Pereira, A., Carvalho, L., Juanes, J., & Garcia-Penalvo, F. (2016). Learning with mobile technologies - Students' behavior. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.05.027
Burford, S. & Park, S. (2014). The impact of mobile tablet devices on human information behaviour. Journal of Documentation, 70(4), 622-639. https://doi.org/10.1108/JD-09-2012-0123
Chen, G., Jin, Y., Liang, W., & Liu, Y. (2021). Study on the influence of middle school students' self-efficacy on the willingness to use online learning platform. The International Journal of Electrical Engineering & Education, 0(0), 1-23. https://doi.org/10.1177/0020720920984030
Chen, Z., Xu, M., Garrido, G., & Guthrie, M. W. (2020). Relationship between students' online learning behavior and course performance: what contextual information matters? Physical Review Physics Education Research, 16(1), 010138. https://doi.org/10.1103/PhysRevPhysEducRes.16.010138
Dafoulas, G. A. & Shokri, A. (2014). Delivery of E-Learning through Social Learning Networks International Conference e-Learning 2014. Multi Conference on Computer Science and Information Systems 2014, https://www.learntechlib.org/p/157805
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE Publications.
Franke, T., Attig, C., & Wessel, D. (2019). A personal resource for technology interaction: development and validation of the affinity for technology interaction (ATI) scale. International Journal of Human-Computer Interaction, 35(6), 456-467. https://doi.org/10.1080/10447318.2018.1456150
Gopal, R., Singh, V., & Aggarwal, A. (2021). Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19. Education and Information Technologies, 26(6), 6923-6947. https://doi.org/10.1007/s10639-021-10523-1
Henson, R. K. & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393-416. https://doi.org/10.1177/0013164405282485
Hong, J. C., Liu, Y., Liu, Y., & Zhao, L. (2021). High school students' online learning ineffectiveness in experimental courses during the COVID-19 pandemic [Original Research]. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.738695
Jin, F. & Divitini, M. (2020). Affinity for technology and teenagers' learning intentions. Association for Computing Machinery (ACM), 48-55. https://doi.org/10.1145/3372782.3406269
Kolokytha, E., Loutrouki, S., Valsamidis, S., & Florou, G. (2015). Social media networks as a learning tool. Procedia Economics and Finance, 19, 287-295. https://doi.org/https://doi.org/10.1016/S2212-5671(15)00029-5
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The relationship between cell phone use and academic performance in a sample of U.S. college students. SAGE Open, 5(1), 2158244015573169. https://doi.org/10.1177/2158244015573169
Liang, K., Zhang, Y., He, Y., Zhou, Y., Tan, W., & Li, X. (2017). Online behavior analysis-based student profile for intelligent e-learning. Journal of Electrical and Computer Engineering, 2017, 9720396. https://doi.org/10.1155/2017/9720396
Liu, Y. (2010). Social media tools as a learning resource. Journal of Educational Technology Development and Exchange, 3(1), 101-114. https://doi.org/10.18785/jetde.0301.08
Luaran, J. E., Samsuri, N. N., Nadzri, F. A., & Rom, K. B. M. (2014). A study on the student's perspective on the effectiveness of using e-learning. Procedia - Social and Behavioral Sciences, 123, 139-144. https://doi.org/https://doi.org/10.1016/j.sbspro.2014.01.1407
Maes, E., Vanderoost, E., D'Hooge, R., De Houwer, J., & Beckers, T. (2017). Individual difference factors in the learning and transfer of patterning discriminations [Original Research]. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01262
Mills, L. & Knezek, G. (2012). Measuring Learning Preferences within the Integrated Communications Learning Landscape.
Mills, L. A., Knezek, G. A., & Wakefield, J. S. (2013). Learning with social media: measurement tools for understanding information behavior in technology pervasive environments of the 21st century. In Paper presented at iConference 2013 proceedings, Fort Worth, TX., 593-600. https://doi.org/http://dx.doi.org/10.9776/13286
Moghavvemi, S., Sulaiman, A., Jaafar, N. I., & Kasem, N. (2018). Social media as a complementary learning tool for teaching and learning: the case of Youtube. The International Journal of Management Education, 16(1), 37-42. https://doi.org/https://doi.org/10.1016/j.ijme.2017.12.001
Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021). Students' perception and preference for online education in India during COVID -19 pandemic. Social Sciences & Humanities Open, 3(1), 100101. https://doi.org/https://doi.org/10.1016/j.ssaho.2020.100101
Na, K., Jeong, Y., & Yang, C. (2021). Exploring cognitive, affective, and physical aspects of early adolescents' health information seeking behaviors. Journal of the Korean Society for Library and Information Science, 55(2), 289-324. https://doi.org/https://doi.org/10.4275/KSLIS.2021.55.2.289
Nguyen, T. (2015). The effectiveness of online learning: beyond no significant difference and future horizons. MERLOT Journal of Online Learning and Teaching, 11(2), 309-319.
Paul, J. & Jefferson, F. (2019). A comparative analysis of student performance in an online vs. Face-to-Face environmental science course from 2009 to 2016 [Original Research]. Frontiers in Computer Science, 1. https://doi.org/10.3389/fcomp.2019.00007
Pavel, A. P., Fruth, A., & Neacsu, M. N. (2015). ICT and e-learning: catalysts for innovation and quality in higher education. Procedia Economics and Finance, 23, 704-711. https://doi.org/https://doi.org/10.1016/S2212-5671(15)00409-8
Qazi, A., Hardaker, G., Said Ahmad, I., Darwich, M., Maitama, J., & Ahad, A. D. (2021). The role of information & communication technology in elearning environments: a systematic review. IEEE Access, PP, 1-1. https://doi.org/10.1109/ACCESS.2021.3067042
Razzaq, A., Samiha, Y. T., & Anshari, M. (2018). Smartphone habits and behaviors in supporting students self-efficacy. International Journal of Emerging Technologies in Learning (iJET), 13(2), 94-109. https://doi.org/https://doi.org/10.3991/ijet.v13i02.7685
Robinson, R. S. (2014). Purposive sampling. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 5243-5245). Springer Netherlands. https://doi.org/10.1007/978-94-007-0753-5_2337
Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11. http://pubs.sciepub.com/ajams/9/1/2
Song, Y., Yang, J., Fei, X., Ma, X., & Ma, D. (2018, 8-11 Aug. 2018). How does College Students' Online Learning Behavior Impact Their Academic Performance. 2018 13th International Conference on Computer Science & Education (ICCSE),
Sukmanasa, W. (2022). The effect of digital literature on students' learning independence in the 2019 COVID situation. Jurnal Pendidikan dan Pengajaran Guru Sekolah Dasar (JPPGuseda), 5, 60-65. https://doi.org/10.55215/jppguseda.v5i2.6000
Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: a meta-analysis and research synthesis. Computers & Education, 94, 252-275. https://doi.org/https://doi.org/10.1016/j.compedu.2015.11.008
Thai, N. T. T., Wever, B. d., & Valcke, M. (2020). Face-to-face, blended, flipped, or online learning environment? Impact on learning performance and student cognitions. J. Comput. Assist. Learn., 36(3), 397-411. https://doi.org/10.1111/jcal.12423
Wang, C., Fang, T., & Gu, Y. (2020). Learning performance and behavioral patterns of online collaborative learning: Impact of cognitive load and affordances of different multimedia. Computers & Education, 143, 103683. https://doi.org/https://doi.org/10.1016/j.compedu.2019.103683
Wei, H. C. & Chou, C. (2020). Online learning performance and satisfaction: do perceptions and readiness matter? Distance Education, 41(1), 48-69. https://doi.org/10.1080/01587919.2020.1724768
Yan, S. (2021). COVID-19 and technology use by teenagers: a case study. Human Behavior with Emerging Technologies, 3(1), 185-193. https://doi.org/https://doi.org/10.1002/hbe2.236
Yang, C. & Hsieh, T. C. (2013). Regional differences of online learning behavior patterns. The Electronic Library, 31(2), 167-187. https://doi.org/10.1108/02640471311312366
Yu, T.-K., Lin, M.-L., & Liao, Y.-K. (2017). Understanding factors influencing information communication technology adoption behavior. Comput. Hum. Behav., 71(C), 196-208. https://doi.org/10.1016/j.chb.2017.02.005
Zawaideh, F. H. (2017). The effect of mobile learning on the development of the students' learning behaviors and performance at Jordanian university. International Journal of Business and Management Invention, 6(3), 1-7.
Zhang, X. (2016). An analysis of online students' behaviors on course sites and the effect on learning performance: a case study of four LIS online classes. Journal of Education for Library and Information Science, 57(4), 255-270.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.