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IMPROVING STATISTICS LEARNING OUTCOMES THROUGH DEEP LEARNING AND TARL APPROACHES IN GRADE X
(1) Universitas Islam Malang
(2) Universitas Islam Malang
(3) Universitas Islam Malang
(*) Corresponding Author
Abstract
This study aims to improve students’ learning outcomes in statistics
using a digital-based approach. The approach integrates Deep
Learning principles and the Teaching at the Right Level (TaRL)
framework. The research was conducted as a Classroom Action
Research (CAR) in two cycles involving Grade X students at SMAN 3
Malang. Data were collected using pre-tests and post-tests to measure
changes in students' performance. The results showed an increase in
students’ average learning outcomes: from 35.15% in the initial
condition to 54% in Cycle I, and further to 88.4% in Cycle II. These
findings suggest that a digital-based Deep Learning and TaRL
approach effectively enhances students’ understanding and
engagement in learning statistics.
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