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All Journal Indonesian Journal of Disability Studies Pedagogi Hayati Jurnal Sains dan Ilmu Terapan
Lala Septem Riza
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Humanities Computer Science & IT Education Engineering Social Sciences

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A Learning Media Based on Hands-on Activity in Mathematics for Students Special School Nurjanah Nurjanah; Ade Rohayati; Lala Septem Riza
Indonesian Journal of Disability Studies Vol. 8 No. 2 (2021)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.047 KB) | DOI: 10.21776/ub.ijds.2021.008.02.02

Abstract

The use of hands-on activity-based mathematics learning media for mentally retarded children and cerebral palsy is largely unexplored. Meanwhile, observations of children with special needs (mental retardation and cerebral palsy) at school have not shown good basic math skills, such as counting, recognizing numbers, recognizing letters, performing math operations (for example, addition and subtraction). This study aims to develop a hands-on activity-based learning media model for mentally retarded children and cerebral palsy to improve understanding of mathematics in reading, writing, and arithmetic subjects. The method used is Research and Development, where the subject is the Special School in Bandung, Indonesia. The instruments used in this study were documentation, classroom observation, interviews, and tests of mathematical comprehension abilities. The results showed that a hands-on activity-based learning model could be used to improve basic math skills in reading, writing, and arithmetic for children with mental retardation and cerebral palsy.
Emotion Detection with AI: Development of Learning Media for Evaluation of Cognitive Load of Prospective Teacher in Genetics Lectures Iffa Ichwani Putri; Adi Rahmat; Riandi; Lala Septem Riza
Pedagogi Hayati Vol 7 No 2 (2023): Pedagogi Hayati: Jurnal Ilmiah Pendidikan Biologi
Publisher : Department of Biology Education, Faculty of Education and teacher Training, Maritime University of Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/ph.v7i2.7011

Abstract

This research aims to develop learning media by integrating artificial intelligence (AI) that is able to detect the emotions of prospective teacher during genetics lectures. Using AI technology, this system can evaluate the cognitive load of students in real-time through facial expression analysis. The method used involves collecting data from lecture sessions, which are then analyzed using machine learning algorithms to identify cognitive load levels. The results of the study show that this learning media is able to identify students' emotions. This learning media is equipped with accurate emotion detection features, interactive learning materials, and an informative dashboard to monitor student learning progress. The implementation of this technology is expected to improve the quality of learning and help students achieve a better understanding of genetics courses.
Meningkatkan Berpikir Komputasi Siswa Melalui Aktivitas Unplugged: Studi Action Research pada Binary Search Trees Andy Agustian; Elisa Rosa; Rangga Destian; Lala Septem Riza; Muhammad Nursalman; Rasim Rasim; Rani Megasari; W. Wahyudin
Jurnal Sains dan Ilmu Terapan Vol. 7 No. 2 (2024): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v7i2.916

Abstract

Computational thinking is an essential skill in the digital age that includes problem solving, data analysis, and understanding algorithms. Unplugged activities, which introduce the concept of computing without electronic devices, are an effective and inclusive alternative in education, especially in environments with limited access to technology. This study aims to investigate the improvement of students' computational thinking through unplugged activities focusing on Binary Search Trees (BST). The method used is action research with the Kurt Lewin model, involving 42 6th grade elementary school students. The ISTE instrument was used to measure computational thinking skills. The results showed an increase in computational thinking skills, with 14.29% of students still not developing, 83.33% of students starting to develop, and 2.38% of students developing as expected. In conclusion, unplugged activities focusing on BST can significantly improve students' computational thinking skills, offering an innovative teaching method that can be applied in various educational contexts.
Co-Authors Ade Rohayati Adi Rahmat Andy Agustian Elisa Rosa Muhammad Nursalman Nurjanah, Nurjanah Putri, Iffa Ichwani Rangga Destian Rani Megasari Rasim Rasim Riandi W. Wahyudin