Development Of Deep Learning-Based Teaching Modules Wordwall-Assisted To Improve Students Logical Thinking Ability

Nur Latifah (Universitas Al Washliyah Labuhanbatu)
Raden Sri Ayu Ramadhana (Universitas Al Washliyah Labuhanbatu)
Defri Rahmat (Universitas Al Washliyah Labuhanbatu)
Rizki Kurniawan Rangkuti (Universitas Al Washliyah Labuhanbatu)
Sri Tami Ningsih Daulay (Universitas Al Washliyah Labuhanbatu)
Ebenezer Bonyah (Akenten Appiah Menka University)
Zohaib Hassan Sain (Superior University)

Journal of Mathematics Education and Application (JMEA)
Vol 5, No 3 (2026): Oktober

This study aims to develop a deep learning-based teaching module, assisted by Wordwall, on quadratic functions to improve students' mathematical logical thinking skills. The type of research used is Research and Development (RD) with the ADDIE development model, which includes the stages of analysis, design, development, implementation, and evaluation. The subjects of the study were 36 students of class X8 of SMA Negeri 1 Rantau Selatan. The study showed that the developed teaching module was classified in the very valid category based on expert validation, with an average score of 3.81. The level of practicality of the module was also classified as very good based on the student response questionnaire with a percentage of 90.8%. In addition, the results of the effectiveness test showed an increase in students' mathematical logical thinking skills with an N-Gain value of 0.71, which is included in the high category, with an increase in the average pretest score of 54.96 to 85.50 in the posttest.