Advertisement

A Case Study on the Self-Efficacy and Online Help Seeking Tendencies of EFL Learners

  • Sou-Chen Lee
  • Gregory Siy ChingEmail author
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

Within the current age of technological advancement, ubiquitous learning with technology has begun to permeate the academe. This is more prevalent with engineering students, wherein technology is very much related to their field of studies. In addition, the recent emphasis in developing the English language competency of engineers and technical professionals has also brought forth various educational innovations. To shed light on the current issues, this paper shall present the findings of an experimental ubiquitous English as a Foreign Language (EFL) learning course. A total of 52 engineering students participated in a semester long Basic English conversation class. Students are assigned learning tasks that can be accomplished either with their smartphones or tablets-PCs. At the end of the semester, a survey questionnaire with regards to the students’ self-efficacy within an internet-based learning environment, help seeking tendencies, and personality was administered. Result shows that students’ who uses smartphones with internet access have more self-efficacy as compared to their peers with no internet access. Furthermore, findings also suggest that students’ self-efficacy and help seeking tendencies are much higher in students who are more extroverts, conscientious, and open. In sum, ubiquitous learning with technology is seen as one of the important paradigm shifts in today’s learning. It is therefore hoped that more empirical studies are accomplished within this area and help provide exemplars for practitioners and learners alike.

Keywords

Self-efficacy Help seeking tendencies Big five personality Smartphone Tablet-PC 

Notes

Acknowledgments

This work is supported in part by the Taiwan National Science Council under grant numbers NSC 99-2632-S-262-001-MY3 and NSC 101-2410-H-262-011.

References

  1. 1.
    Lee MJW, Chan A (2005) Exploring the potential of podcasting to deliver mobile ubiquitous learning in higher education. J Comput High Educ 18(1):94–115CrossRefGoogle Scholar
  2. 2.
    Peng H, Su YJ, Chou C, Tsai CC (2009) Ubiquitous knowledge construction: mobile learning re-defined and a conceptual framework. Innov Educ Teach Int 46(2):171–183CrossRefGoogle Scholar
  3. 3.
    Culp KM, Honey M, Mandinach E (2005) A retrospective on twenty years of education technology policy. J Educ Comput Res 32(3):279–307CrossRefGoogle Scholar
  4. 4.
    Williamson A, Iliopoulos C (2001) The learning organization information system (LOIS): looking for the next generation. Inf Syst J 11(1):23–41zbMATHCrossRefGoogle Scholar
  5. 5.
    Lyytinen K, Yoo Y (2002) Issues and challenges in ubiquitous computing. Commun ACM 45(12):63–65CrossRefGoogle Scholar
  6. 6.
    Liu TY (2009) A context-aware ubiquitous learning environment for language listening and speaking. J Comput Assist Learn 25(6):515–527CrossRefGoogle Scholar
  7. 7.
    Sommerich CM, Ward R, Sikdar K, Payne J, Herman L (2007) A survey of high school students with ubiquitous access to tablet PCs. Ergonomics 50(5):706–727CrossRefGoogle Scholar
  8. 8.
    Liao CY, Guimbretière F, Richard Anderson, Linnell N, Prince C, Razmov V (2007) PaperCP: exploring the integration of physical and digital affordances for active learning. Lect Notes Comput Sci 4663:15–28Google Scholar
  9. 9.
    Bogossian FE, Kellett SEM, Mason B (2009) The use of tablet PCs to access an electronic portfolio in the clinical setting: a pilot study using undergraduate nursing students. Nurse Educ Today 29(2):246–253CrossRefGoogle Scholar
  10. 10.
    Weitz RR, Wachsmuth B, Mirliss D (2006) The tablet PC for faculty: a pilot project. Educ Technol Soc 9(2):68–83Google Scholar
  11. 11.
    Ostashewski N, Reid D (2010) iPod, iPhone, and now iPad: the evolution of multimedia access in a mobile teaching context. In: Proceedings of world conference on educational multimedia, hypermedia and telecommunications 2010. AACE, Chesapeake, VA, pp 2862–2864Google Scholar
  12. 12.
    Gasparini A, Culén AL (2013) The iPad in a classroom: a cool personal item or simply an educational tool? In: The sixth international conference on advances in computer-human interactions. Think Mind, Nice, France, pp 204–209Google Scholar
  13. 13.
    Fagen W, Kamin S (2013) Measuring increased engagement using tablet PCs in a code review class. In: Proceeding of the 44th ACM technical symposium on computer science education ACM, New York, NY, pp 465–470Google Scholar
  14. 14.
    Loch B, Galligan L, Hobohm C, McDonald C (2011) Learner-centred mathematics and statistics education using netbook tablet PCs. Int J Math Educ Sci Technol 42(7):939–949CrossRefGoogle Scholar
  15. 15.
    Wang LJ, Wu DH, Zhang JK (2013) Intelligent terminal application and management in college class ecology. Lect Notes Electr Eng 218:423–429CrossRefGoogle Scholar
  16. 16.
    Reins K (2007) Digital tablet PCs as new technologies of writing and learning: a survey of perceptions of digital ink technology. http://www.citejournal.org/vol7/iss3/mathematics/article1.cfm. Accessed May 10 2013
  17. 17.
    Shin DH, Shin YJ, Choo HS, Beom KS (2011) Smartphones as smart pedagogical tools: implications for smartphones as u-learning devices. Comput Hum Behav 27(6):2207–2214CrossRefGoogle Scholar
  18. 18.
    Cochrane TD (2010) Exploring mobile learning success factors. Res Learn Technol 18(2):133–148CrossRefGoogle Scholar
  19. 19.
    Mitchell K, Race NJP (2005) uLearn: facilitating ubiquitous learning through camera equipped mobile phones. In: Proceedings of the IEEE international workshop on wireless and mobile technologies in education IEEE computer society, Washington, DC, pp 274–281Google Scholar
  20. 20.
    Murray OT, Olcese NR (2011) Teaching and learning with iPads, ready or not? TechTrends 55(6):42–48CrossRefGoogle Scholar
  21. 21.
    Melhuish K, Falloon G (2010) Looking to the future: m-learning with the iPad. Comput New Zealand Sch 22(3):1–16Google Scholar
  22. 22.
    Yin RK (1984) Case study research: design and methods. Sage, Newbury ParkGoogle Scholar
  23. 23.
    Schutz R (2006) English made in BrazilGoogle Scholar
  24. 24.
    Karabenick SA, Knapp JR (1991) Relationship of academic help seeking to the use of learning strategies and other instrumental achievement behavior in college students. J Educ Psychol 83(2):221–230CrossRefGoogle Scholar
  25. 25.
    Cheng KH, Tsai CC (2011) An investigation of Taiwan University students’ perceptions of online academic help seeking, and their web-based learning self-efficacy. Internet High Educ 14(3):150–157MathSciNetCrossRefGoogle Scholar
  26. 26.
    Owen SV, Froman RD (1988) Development of a college academic self-efficacy scale. In: Annual meeting of the national council on measurement in education, New Orleans, LAGoogle Scholar
  27. 27.
    Karim NSA, Zamzuri NH, Nor YM (2009) Exploring the relationship between Internet ethics in university students and the big five model of personality. Comput Educ 53(1):86–93CrossRefGoogle Scholar
  28. 28.
    John OP, Srivastava S (1999) The big five trait taxonomy: history, measurement, and theoretical perspectives. In: Pervin LA, John OP (eds) Handbook of personality: theory and research. Gilford, New York, pp 102–138Google Scholar
  29. 29.
    Srivastava S, John OP, Gosling SD, Potter J (2003) Development of personality in early and middle adulthood: Set like plaster or persistent change? J Pers Soc Psychol 84:1041–1053CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of Multimedia and Game ScienceLunghwa University of Science and TechnologyTaoyuan CountyTaiwan R.O.C

Personalised recommendations