Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : World Psychology

The Role of Google Classroom Application in Improving High School Student Achievement Yusrianti, Susi; Guilin, Xie; Artanty, Ary; Jiao, Deng; Setyawan, Gogor Christmass
World Psychology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i1.615

Abstract

Achievement is the highest achievement of a series of educational processes taken by students by relying on their intellectual and spiritual abilities. To improve student achievement, teachers can utilize existing technology, including the use of Google Classroom applications. The purpose of this study is to determine the role of the Google Classroom application in improving the achievement of high school students. The research method used is descriptive quantitative by conducting field research and data collection techniques by conducting in-depth interviews where researchers ask several questions to class teachers related to existing subjects, learning methods used, then the function of Google Classroom in the learning process, and things that can improve student achievement. The results of this case study explain that the use of Google Classroom applications can improve student achievement, this matter can be seen from the percentage count taken after conducting research. From the research conducted, it can be concluded that this application can be used as a medium for sending the results of assignments given by educators so that it can help improve student achievement. The limitation in this study is that researchers only know the role of Google Classroom applications in improving student achievement in only one school. Researchers hope that further research can conduct more in-depth research related to the role of Google Classroom applications in improving student achievement.
Utilizing Ai-Adriven Data Analytics to Improve Learning Outcomes in Educational Psychology Haryanto, Sri; Guilin, Xie; Jiao, Deng; Wang, Yuanyuan; Sudirman, M. Yunus
World Psychology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i3.708

Abstract

Given the rapid advances in computing capabilities, as well as advances in more sophisticated algorithms, and greater accessibility to AI tools, AI has great potential for innovation in data analytics, such as pattern recognition, classification, clustering, and prediction. Likewise in psychology education, AI-based data analytics will be able to manage data to improve student learning outcomes well. This research was conducted with the aim of seeing how influential it is to utilize AI-based data analytics to improve learning outcomes in educational psychology. Additionally, AI can give teachers more time to concentrate on direct interactions with students and the development of more innovative and effective teaching strategies by automating administrative and assessment tasks. The method used by researchers in researching Utilizing AI-Based Data Analytics to Improve Learning Outcomes in Educational Psychology is to use a quantitative method. The data obtained by researchers was obtained from the results of distributing questionnaires. The distribution of questionnaires carried out by researchers was carried out online using Google From software. The results of data acquisition will also be tested again using the SPSS application. From the research results, it can be seen that AI can accurately predict student academic performance. This can be done by analyzing various factors such as study patterns, class participation, and previous test scores. AI also allows teachers to be proactive in helping their students when they encounter a particular problem. From this research, researchers can conclude that in educational psychology, the use of AI-based data analytics has great potential to improve learning outcomes by personalizing student learning experiences such as, enabling early intervention, improving assessments, increasing operational efficiency, supporting better curriculum development, and offers a customizable learning system.
Co-Authors Abdul Latief Arung Arafah Abdurrohman, Abdurrohman Aldina, Fauzi Alpian Jayadi, Alpian Amelia Hayati Anggra, Rangga Arifah, Ayunda Nur Artanty, Ary Asbath, Asbath Azahra, Yunisa Bradford, Snyder Chandra Halim Cheriani, Cheriani Desiana Desiana, Desiana Dewi Nusraningrum, Dewi Diana Sari Dwi Septiani Endah Fitriasari, Endah Fhirnanda, Ditha Yulia Gogor Christmass Setyawan Guilin, Xie Hamka Hamka, Hamka Hapzi Ali Hestiawan, Viralin Hidayatulloh, Asep Hilmiyati, Fitri Hina, Hermyn Benny Ibrahim, Ilyas Irianti , Evi Jie, Lie Jonathan, Bouyea Judijanto, Loso Karliena, Yayuk Kashino, Saijo Khaidir, Widya Khairat, Annisaul Khoirunnisa, Sri Wulan Bintang Lewar, Emanuel Suban Bala Lutfi Syafirullah M. Yunus Sudirman Mahfuz, Taufik Warman Meriyati Meriyati Mudinillah, Adam Muhamad Taufik Nur, Syamsuddin Nuralfin Anripa Nurisman, Husain Nurkomala, Siti Nurodin Usman Nurwijayanti Oktaria, Dhina Setyo Prasetio, Rachmat Puspitasari, Mariana Diah Putri, Lusiana Rahmadani R.Eriska Ginalita Dwi Putri Rabani, Salma Rahmi, Sri Nur Retno Sari Dewi, Retno Sari Rini Nuraini, Rini Riniati, Wa Ode Rumbouw, Nurlena Sarip, Mohamad Selvia , Devi Sela Eka Soulissa, Fatmhy F Sri Haryanto Sumianto Sumianto Supriyanti Supriyanti Susi Yusrianti, Susi Syamsu Rijal Tusi, Juandri Seprianto Ujuh Juhana Ulfa Fitriani Umasugi, M Taufan Vanchapo, Antonius Rino Vanessa, Grecia Adis Vera, Poupot Wardana, Billy Eka Werdyaningsih , Endang Widianingsih, Betti Xavier, Embrechts Xu, Shanshan Yakir, Julia Yuanyuan Wang, Yuanyuan Yudilestari, Eka Putri YUSUF, DIANA Zhang Wei Zou, Guijiao Zuliana, Zuliana