DOI QR코드

DOI QR Code

Interactive learning in oral and maxillofacial radiology

  • Ramesh, Aruna (Department of Diagnostic Sciences, Division of Oral and Maxillofacial Radiology, Tufts University School of Dental Medicine) ;
  • Ganguly, Rumpa (Department of Diagnostic Sciences, Division of Oral and Maxillofacial Radiology, Tufts University School of Dental Medicine)
  • Received : 2016.03.22
  • Accepted : 2016.05.04
  • Published : 2016.09.30

Abstract

Purpose: The use of electronic tools in teaching is growing rapidly in all fields, and there are many options to choose from. We present one such platform, Learning Catalytics$^{TM}$ (LC) (Pearson, New York, NY, USA), which we utilized in our oral and maxillofacial radiology course for second-year dental students. Materials and Methods: The aim of our study was to assess the correlation between students' performance on course exams and self-assessment LC quizzes. The performance of 354 predoctoral dental students from 2 consecutive classes on the course exams and LC quizzes was assessed to identify correlations using the Spearman rank correlation test. The first class was given in-class LC quizzes that were graded for accuracy. The second class was given out-of-class quizzes that were treated as online self-assessment exercises. The grading in the self-assessment exercises was for participation only and not accuracy. All quizzes were scheduled 1-2 weeks before the course examinations. Results: A positive but weak correlation was found between the overall quiz scores and exam scores when the two classes were combined (P<0.0001). A positive but weak correlation was likewise found between students' performance on exams and on in-class LC quizzes (class of 2016) (P<0.0001) as well as on exams and online LC quizzes (class of 2017) (P<0.0001). Conclusion: It is not just the introduction of technological tools that impacts learning, but also their use in enabling an interactive learning environment. The LC platform provides an excellent technological tool for enhancing learning by improving bidirectional communication in a learning environment.

Keywords

References

  1. Petty J. Interactive, technology-enhanced self-regulated learning tools in healthcare education: a literature review. Nurse Educ Today 2013; 33: 53-9. https://doi.org/10.1016/j.nedt.2012.06.008
  2. Ray K, Berger B. Challenges in healthcare education: a correlation study of outcomes using two learning techniques. J Nurses Staff Dev 2010; 26: 49-53. https://doi.org/10.1097/NND.0b013e3181d4782c
  3. Knowles MS. The modern practice of adult education: from pedagogy to andragogy. New York: Cambridge Book Co; 1989.
  4. Nichol D. E-assessment by design: using multiple-choice tests to good effect. J Further High Educ 2007; 31: 53-64. https://doi.org/10.1080/03098770601167922
  5. Schneiderman J, Corbridge S, Zerwic JJ. Demonstrating the effectiveness of an online, computer-based learning module for arterial blood gas analysis. Clin Nurse Spec 2009; 23: 151-5. https://doi.org/10.1097/NUR.0b013e3181a075bc
  6. Dennison HA. Creating a computer-assisted learning module for the non-expert nephrology nurse. Nephrol Nurs J 2011; 38: 41-53.
  7. Nicol DJ, Macfarlane-Dick D. Formative assessment and self-regulated learning: a model and seven principles of good feedback practice. Stud High Educ 2006; 31: 199-218. https://doi.org/10.1080/03075070600572090
  8. Sandahl SS. Collaborative testing as a learning strategy in nursing education. Nurs Educ Perspect 2010; 31: 142-7.
  9. JISC. Effective practice with e-assessment - an overview of technologies, policies and practice in further and higher education [Internet]. JISC; 2007 [cited 2016 Mar 15]. Available from http://www.webarchive.org.uk/wayback/archive/20140615085433/http://www.jisc.ac.uk/media/documents/themes/elearning/effpraceassess.pdf
  10. Bruff D. Teaching with classroom response systems: creating active learning environments. San Francisco: Jossey-Bass; 2009.
  11. Nayak L, Erinjeri JP. Audience response systems in medical student education benefit learners and presenters. Acad Radiol 2008; 15: 383-9. https://doi.org/10.1016/j.acra.2007.09.021
  12. Hattie J, Timperley H. The power of feedback. Rev Educ Res 2007; 77: 81-112. https://doi.org/10.3102/003465430298487
  13. Kulhavy RW. Feedback in written instruction. Rev Educ Res 1977; 47: 211-32. https://doi.org/10.3102/00346543047002211
  14. Tsai FS, Yuen C, Cheung NM. Interactive learning in preuniversity mathematics. In: IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012 (TALE2012); 2012 Aug 20-23; Hong Kong: IEEE; 2012. p. T2D-8-13.
  15. Richardson ML. Audience response techniques for 21st century radiology education. Acad Radiol 2014; 21: 834-41. https://doi.org/10.1016/j.acra.2013.09.026
  16. Bhargava P, Lackey AE, Dhand S, Moshiri M, Jambhekar K, Pandey T. Radiology education 2.0 - on the cusp of change: part 1. Tablet computers, online curriculums, remote meeting tools and audience response systems. Acad Radiol 2013; 20:364-72. https://doi.org/10.1016/j.acra.2012.11.002
  17. Schackow TE, Chavez M, Loya L, Friedman M. Audience response system: effect on learning in family medicine residents. Fam Med 2004; 36: 496-504.
  18. Latessa R, Mouw D. Use of an audience response system to augment interactive learning. Fam Med 2005; 37: 12-4.
  19. Meckfessel S, Stuhmer C, Bormann KH, Kupka T, Behrends M, Matthies H, et al. Introduction of e-learning in dental radiology reveals significantly improved results in final examination. J Craniomaxillofac Surg 2011; 39: 40-8. https://doi.org/10.1016/j.jcms.2010.03.008

Cited by

  1. An systematic review of e-learning outcomes in undergraduate dental radiology curricula-levels of learning and implications for researchers and curriculum planners vol.48, pp.1, 2016, https://doi.org/10.1259/dmfr.20180027
  2. Artificial intelligence for precision education in radiology vol.92, pp.1103, 2019, https://doi.org/10.1259/bjr.20190389
  3. Effectiveness of Problem-Based Learning versus Traditional Teaching Methods in Improving Acquisition of Radiographic Interpretation Skills among Dental Students-A Systematic Review and Meta-Analysis vol.2021, pp.None, 2016, https://doi.org/10.1155/2021/9630285