Development of a Deep Learning Approach-Based Electronic Student Worksheet (E-Worksheet) for Teaching News Writing to Seventh-Grade Junior High School Students

Abstract

Writing is one of the essential language skills that students must master in Indonesian language learning, particularly in writing news texts. However, many seventh-grade students still encounter difficulties in organizing news structures, identifying the 5W+1H elements, and presenting factual information systematically. This study aimed to develop a Deep Learning Approach-based Electronic Student Worksheet (E-Worksheet) for teaching news writing that is valid, practical, and effective for seventh-grade junior high school students. This research employed the Research and Development (R&D) method using the ADDIE instructional design model, which consists of Analyze, Design, Development, Implementation, and Evaluation stages. The research was conducted at SMP Negeri 13 OKU, Indonesia. The participants included four Indonesian language teachers during the needs analysis stage, three expert validators (content, media, and language experts), three students in the one-to-one evaluation, nine students in the small-group evaluation, and thirty-six seventh-grade students in the field trial. Data were collected through observations, interviews, questionnaires, validation sheets, and news writing tests. Quantitative data were analyzed using descriptive statistics, the Shapiro–Wilk normality test, the Wilcoxon Signed Rank Test, and N-Gain analysis with IBM SPSS Statistics Version 25. The findings revealed that the developed E-Worksheet achieved an average validity score of 86.50%, categorized as Very Valid. Practicality testing resulted in an average score of 91.36%, indicating that the product was Very Practical. Furthermore, the effectiveness test showed that students' average news writing score increased from 75.97 on the pretest to 86.53 on the posttest. The Wilcoxon Signed Rank Test indicated a statistically significant difference between the pretest and posttest scores (p < 0.05), while the average N-Gain score of 0.44 fell into the moderate improvement category. Therefore, the developed Deep Learning Approach-based E-Worksheet is considered valid, practical, and effective as an alternative digital instructional material to improve seventh-grade students' news writing skills.