Deep Learning in Biology: 3D Representation of Online and Reality

Suprapto, Purwati Kuswarini and Ardiansyah, Ryan and Chaidir, Diki Muhammad and Fatmawati, Baiq and Meylani, Vita Deep Learning in Biology: 3D Representation of Online and Reality. INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY: APPLIED BUSINESS AND EDUCATION RESEARCH.

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Abstract

Deep learning is required to examine biological material, particularly ab-stract content, either in the laboratory alone or with internet literature. This study aims to compare the effectiveness of learning through practi-cum versus learning through a combination of practicum (real-world data) and online literature review in terms of the ability to represent the three-dimensional (3D) model of plant tissue structure in a plant anat-omy course. This study employed a quantitative approach with a quasi-experimental design in the posttest alone control group. This research used Purposive sampling to choose the research sample, which consisted of two classes of students enrolled in a plant anatomy course. ANOVA was used to analyze the data, with a significance level of 0.05. The results in-dicated a significant difference in learning when combined practicum was with online literature study visuospatial when practicum was used alone with a more excellent 3D model representation value in the class. Classes that combine an applied practicum with an online literature re-view have a grade point average of 73.61

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