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Rina Astuti
Universitas Muhammadiyah Surakarta
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The Effect of Deep Learning Instruction on the Motivation and Learning Outcomes of Grade 11 Students at SMA IT Nur Hidayah Ariela Prita Ayuningdyah; Annur Indra Kusumadani; Rina Astuti
Bioscientist : Jurnal Ilmiah Biologi Vol. 14 No. 3 (2026): September
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v14i3.20483

Abstract

This study aimed to investigate the effects of a deep learning–oriented instructional approach on the learning motivation and academic achievement of Grade 11 high school students. A quantitative quasi-experimental method was employed using a pretest–posttest control group design. The participants comprised 49 Grade 11 students, including 27 students in the experimental group and 22 students in the control group. Both groups received instruction on the human excretory system; however, the experimental group was taught using a deep learning approach, whereas the control group received instruction using a non-deep-learning approach. Data were collected using a learning motivation questionnaire, a 10-item pretest, and a 20-item posttest. The data were analyzed using the nonparametric Mann–Whitney U test and Wilcoxon signed-rank test. The findings demonstrated that the deep learning approach significantly improved the cognitive learning outcomes of Grade 11 students at SMA IT Nur Hidayah (Mann–Whitney U test, p = 0.045), with the Wilcoxon signed-rank test indicating a more consistent pattern of improvement. In contrast, no substantive difference was observed in learning motivation, with an increase of only 0.11%, which may be attributed to a ceiling effect resulting from the students’ initially high motivation levels. Empirically, this instructional approach was particularly effective in restructuring students’ cognitive understanding of complex subject matter, although it did not produce a substantial affective impact.
Co-Authors Alanindra Saputra Ambarwati Aminah Asngad Annur Indra Kusumadani Aprilia Dwi Noorjanah Aprodita Lina Pratiwi Ariela Prita Ayuningdyah D Djumadi Dwi Setyo Astuti Endang Setyaningsih Erma Musbita Tyastuti Erma Musbita Tyastuti Fatimah Muyasaroh Firstnanda Ivanka Putri Fitri Wulansari Guntur Nurcahyanto Halimah Sa’diyah Harry Afandy Harry Affandy Ilham Surya Halim Ima Aryani Lina Agustina Muhamad Waluyo Muhamad Wisnu Muhammad Fauzi Nurromadhon Nailina Najuba Nila Permatasari Putri Agustina Putri Agustina Revivalindra Anandari Swastihayu Ria Anisa Fani Riska Sriwulan Salsabila Nur Rahmadhani Santhyami Sendy putra pradana Shalsa Shabilla Isna Putri Siti Kartika Sari Siti Kartika Sari Siti Nur Syarifah Suparti Suparti Titik Suryani Tito Gamas Listyanto Triastuti Rahayu Wahyu Ma’ruf Dharmaji Warsiti Warsiti Zulfa Iswari