Nada Aulia Nur'aini
State University of Malang, Indonesia

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The Implementation of Flashcards in Deep Learning Based English Language Instruction to Support Memory Recall Among Elementary School Students Najin Fadila Foresta; Surayanah Surayanah; Nabilah Khoirrun Nisak; Mahmada Assyifa; Nada Aulia Nur'aini
Proceedings Series of Educational Studies 2026: International Conference of Research Innovation and Technology on Elementary Education (ICRITE
Publisher : Universitas Negeri Malang

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Abstract

Vocabulary recall is one of the key aspects of English language learning in elementary school. The use of learning media that aligns with students’ developmental characteristics is necessary to support the processes of information storage and retrieval. This study aims to describe the implementation of deep learning-based flashcards in supporting elementary school students’ English vocabulary recall. The study employed a qualitative approach with a case study design conducted at SDN 1 Pakisrejo, Blitar Regency. Data were collected through observation, interviews, and documentation, involving the principal, teachers, and students as information sources. Data validity was verified through source and technique triangulation, while data analysis was conducted through the stages of data reduction, data presentation, and drawing conclusions. The results showed that flashcards were implemented through guessing games involving pictures and vocabulary, which encouraged students’ active engagement in learning. The combination of pictures and words on the flashcards helped students associate visual information with English vocabulary, while the guessing activities provided students with opportunities to recall previously learned information. Students showed enthusiasm and positive responses and stated that the use of images on the flashcards helped them remember vocabulary. Thus, flashcards can serve as a practical, interactive, and cost-effective alternative learning medium to support the recall of English vocabulary and create an active and enjoyable learning experience as part of deep learning.