Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Senior High School Students’ Self-Regulated Learning Using Mobile Devices


Affiliations
1 Batangas State University, Philippines
2 Centro Escolar University, Manila, Philippines
     

   Subscribe/Renew Journal


The objective of this study is to investigate how senior high school students utilize their mobile devices during self-regulated learning in chemistry, what are their attitudes toward mobile devices as a learning tool in chemistry and determine if there is a significant relationship between the frequency of usage of mobile devices as learning tool and academic performance. The research was carried out using researcher-made questionnaire distributed to 162 Grade 12 students who are currently taking up General Chemistry 2 course this second semester of AY 2018-2019. Statistical treatment of data include weighted mean and Pearson’s r. Results revealed that there is no significant relationship between frequency of mobile device usage as a learning tool during self-regulated learning and academic performance in terms of midterm grade in General Chemistry 2 course based on Pearson’s correlation coefficient of -0.057 with a corresponding p value of 0.236.


Keywords

Academic Performance, ICT in Education, Mobile Devices, Self-Regulated Learning.
User
Subscription Login to verify subscription
Notifications
Font Size

  • L. Reid, “Identifying threshold concepts in geosciences; Taking inventory with students and faculty alike, threshold concepts, from theory to practice,” in Proc. Conf. Queens University, 2008
  • M.B. Nakleh, “Why some students don’t learn chemistry,” Journal of Chemical Education, vol. 66, issue 3, pp. 223-225, 2012
  • Kamisah & Nur, “Conceptual understanding in secondary school chemistry: A discussion of the difficulties experienced by students,” American Journal of Applied Sciences, vol. 10, issue 5, pp. 431-441, 2011
  • M. Sozbiler & A.N.C.T Pynarbaphy, “Prospective chemistry teachers conceptions of chemical thermodynamics and kinetics,” Eurasia Journal of Mathematics, Science and Technology Education, vol. 6 issue 2, pp. 111-120, 2010
  • A.H. Johnstone, “The development of chemistry teaching: A changing response to changing demand,” Journal of Chemical Education, vol. 70 issue 9, 1993
  • D. Ching, C. Schuler, A. Lewis & M. Levine, “Harnessing the potential of mobile technologies for children in learning,” Morgan Kaufmann Publishers, Amsterdam, 2009
  • G. J. Hwang & C.C. Tsai, “Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010,” British Journal of Educational Technology, vol. 42, pp. 65-70, 2011
  • S. Paris & A. Paris, “Classroom applications of research on self-regulated learning,” Educational Psychologist, vol. 36 issue 2, pp. 89-101, 2011
  • L. Mitchell, (2014)“Rise of the YouTube makeup artist: Nearly half of women use online tutorials,” Available: http://www.express.co.uk/life-style/style/464633/Pixiwoo-Lauren-Curtis-Frozen-Nearly-half-of-women-copy-popularonline-makeup-tutorials
  • C. Fahnoe & P. Mishra, “Do 21st century learning environments support self-directed learning? Middle school students’ response to an intentionally designed learning environment,” in R. McBride & M. Searson (Eds.), Proc. of Society for Information Technology & Teacher Education International Conference, pp. 3131-3139, Chesapeake, VA: AACE, 2013
  • M. Knowles (1975) “Self-directed learning: A guide for learners and teachers,” Englewood Cliffs, NJ: Prentice Hall/Cambridge
  • B. J. Zimmerman (2009) “Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman and D. H. Schunk (Eds.), Self-regulated learning and academic achievement, Theoretical Perspectives,” pp. 1-38, New York, Routledge
  • E. Panadero & J. Alonso Tapia, “How do students self-regulate? Review of Zimmerman’s cyclical model of self-regulated learning,” Anales de Psicologia, vol. 30 issue 2, pp. 450-462, 2014
  • N. Dabbagh & A. Kitsantas, (2013) “Using learning management systems as metacognitive tools to support self-regulation in higher education contexts. In R. Azevedo, & V. Aleven (Eds.),” International handbook of metacognition and learning technologies, pp. 197-211, New York: Springer
  • B. J. Zimmerman & A. R. Moylan, (2009) “Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A.C. Graesser (Eds), Handbook of Metacognition in education,” pp. 299-315, New York, Routledge
  • V. Richardson, “Constructivist pedagogy,” Teachers College Record, vol. 73, pp. 59-69, 2013
  • P. Magdirila. (2013). Philippine smartphone adoption is growing, but users still stick to basic features. [Online] Available: https://www.techinasia.com/philippine-smartphone-adoption-growing-users-stick-basic-features
  • D. He, D. Wu, Z. Yue, A. Fu & K.T. Vo, “Undergraduate students’ interaction with online information resources in their academic tasks. A comparative study,” in Proc. ASLIB, 2012, pp. 615-640
  • S. Lim, “How and why do college students use Wikipedia?” Journal of the American Society for Information Science and Technology, vol. 60, issue 11, 2009
  • S. Bartholomew, “A mixed-method study of mobile devices and student self-directed learning and achievement during a middle school STEM activity,” PhD dissertation, Dept. of Applies Sciences, Technology & Education, Utah State Univ., 2016.

Abstract Views: 509

PDF Views: 1




  • Senior High School Students’ Self-Regulated Learning Using Mobile Devices

Abstract Views: 509  |  PDF Views: 1

Authors

Sherryl M. Montalbo
Batangas State University, Philippines
Dennis G. Caballes
Centro Escolar University, Manila, Philippines

Abstract


The objective of this study is to investigate how senior high school students utilize their mobile devices during self-regulated learning in chemistry, what are their attitudes toward mobile devices as a learning tool in chemistry and determine if there is a significant relationship between the frequency of usage of mobile devices as learning tool and academic performance. The research was carried out using researcher-made questionnaire distributed to 162 Grade 12 students who are currently taking up General Chemistry 2 course this second semester of AY 2018-2019. Statistical treatment of data include weighted mean and Pearson’s r. Results revealed that there is no significant relationship between frequency of mobile device usage as a learning tool during self-regulated learning and academic performance in terms of midterm grade in General Chemistry 2 course based on Pearson’s correlation coefficient of -0.057 with a corresponding p value of 0.236.


Keywords


Academic Performance, ICT in Education, Mobile Devices, Self-Regulated Learning.

References





DOI: https://doi.org/10.36039/ciitaas%2F11%2F3%2F2019%2F182803.45-51