SFA-based learning material design to improve English medical terminology acquisition among South East Asian nursing students

  • Diannike Putri Universitas Harapan Bangsa, Purwokerto, Indonesia
  • Barlian Kristanto Universitas Harapan Bangsa, Purwokerto, Indonesia
  • Tri Sumarni Universitas Harapan Bangsa, Purwokerto, Indonesia
  • Thanee Glomjai Boromarajonani College of Nursing, Phayao, Thailand
  • Gary Garay Arellano University, Manila, The Phillipines
  • Dung Le Hoang Vietnam National University, Ho Chi Minh City, Vietnam
Keywords: Semantic Feature Analysis, Learning Material Design, English Medical Terminology;, Nursing Students

Abstract

The study explicates the utility of Semantic Feature Analysis (SFA) in developing educational resources with the intent to facilitate the acquisition of medical English terminology among nursing students. This study employs a Research and Development (R&D) methodology to devise and evaluate the efficacy of pedagogical resources centered on the Systematic Functional Approach (SFA). The purpose of the present study is to conduct a comprehensive literature review to examine the importance of medical English terminology for nursing students, as well as the role of Speech Familiarity Aid (SFA) in designing educational materials. Furthermore, this review seeks to investigate contemporary research findings concerning the effectiveness of SFA in facilitating language acquisition. The research findings reveal that learning materials based on SFA substantially enhance the acquisition of medical English terminology among nursing students, underscoring the prospect of SFA as an efficient means for the development of language learning resources.

Published
2023-07-30
How to Cite
Putri, D., Kristanto, B., Sumarni, T., Glomjai, T., Garay, G., & Hoang, D. L. (2023). SFA-based learning material design to improve English medical terminology acquisition among South East Asian nursing students. ELT Forum: Journal of English Language Teaching, 12(2), 110-121. https://doi.org/10.15294/elt.v12i2.68217