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All Journal Jurnal Konseling dan Pendidikan Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Penelitian Pendidikan IPA (JPPIPA) KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA PARAMUROBI Journal of Educational Research and Evaluation Jurnal Ilmiah Dikdaya Islamic Guidance and Counseling Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Amalee: Indonesian Journal of Community Research & Engagement Manarul Qur'an: Jurnal Ilmiah Studi Islam Abdi Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat International Journal of Islamic Educational Psychology Edu Masda Journal Edu Dharma Journal: Jurnal penelitian dan pengabdian masyarakat Ilomata International Journal of Social Science Ta'dib: Jurnal Ilmiah Pendidikan dan Peradaban Islam Journal of Education Research Al-Hijr: Journal of Adulearn World AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Didaktika Religia Asian Journal of Innovative Research in Social Science Instruktur: Jurnal Pendidikan Guru Madrasah Ibtidaiyah World Psychology NURSING ANALYSIS: Journal of Nursing Research Abdimas Indonesian Journal JISPE Journal of Islamic Primary Education AL QALAM JURNAL KEPENDIDIKAN Journal International Dakwah and Communication Carmin: Journal of Community Service International Journal of Educational Narratives ALPHATEACH (JURNAL PROFESI KEPENDIDIKAN DAN KEGURUAN) GENIUS: Indonesian Journal of Early Childhood Education Jurnal Sipakatau PRIMER: Jurnal Ilmiah Multidisiplin Tinta Emas: Jurnal Pendidikan Islam Anak Usia Dini E-Amal: Jurnal Pengabdian Kepada Masyarakat EDU RMIK Jurnal Edukasi Rekam Medis Informasi Kesehatan JOURNAL OF PHILANTHROPY: The Journal of Community Service Jurnal Keislaman Jurnal Pendidikan Islam Reflektif: Jurnal Pendidikan dan Kebudayaan
Sri Haryanto
Fakultas Ilmu Tarbiyah Dan Keguruan Unsiq Jawa Tengah Di Wonosobo
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Journal : World Psychology

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Evaluation the Impact of Digital Technology on Children’s Mental Health and Psychological Wellbeing Haryanto, Sri; Jemmy, Jemmy; Rumbiak, Helmin; Batubara, Fitri Amaliyah; Apriyanti, Eka
World Psychology Vol. 3 No. 2 (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.v3i2.669

Abstract

In the digital era, children are increasingly exposed to electronic devices such as smartphones, tablets, and computers from a young age, impacting their play, learning, and social interactions. Concerns about the potential effects on children's mental health and well-being have grown, prompting research into the psychological factors influencing technology adoption and its implications. This study employs a cross-sectional survey design to explore the relationship between digital technology usage and children's mental health. Data collected from 500 children aged 8-18 years in City X includes demographics, digital technology usage patterns, and assessments using validated scales. The findings reveal significant correlations: prolonged digital technology use correlates with increased risks of anxiety (r = 0.35, p < 0.01), depression (r = 0.30, p < 0.01), and behavioral issues (r = 0.25, p < 0.05) among children. The study underscores the importance of balanced and monitored technology use to mitigate adverse impacts on children's well-being. Collaborative efforts involving parents, educators, and policymakers are crucial in guiding children's technology usage to optimize benefits while safeguarding mental health. Future research aims to further understand these dynamics and develop effective strategies for promoting healthy digital habits among children.
Utilizing Ai-Based Data Analytics to Improve Learning Outcomes in Educational Psychology Haryanto, Sri
World Psychology Vol. 3 No. 2 (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.v3i2.686

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.  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. 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.
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 'ULIA RISTIANA, NAFI LUTFI Abdul Majid Agus Faisal, Vava Imam Ahmad Khoiri Ali Imron Andarwati, Ayu Setia Andini Restu Marsiwi Andriyani Rahmah Fahriati Anggraeni, Reska Widya Ariyani, Mila Ariyaningsih, Shofia Astuti, Erna Dwi Atika, Rindi Auladi, Ardin Azam Batubara, Fitri Amaliyah Chatarina Umbul Wahyuni Denok Sunarsi Desy Darmayanti Eka Apriyanti El Syam, Robingun Suyud Era Octafiona Eva Susanti Fadillah, Firdayani Fadzilah, Auliana Nurul Faisal, Vava Imam Agus Faizal, Vava Imam Agus Fathur Rozi, Fathur Fatmawati Fatmawati Fatmawati, Fatmawati Febriari, Fiza Firdaus Firdaus Firdaus Firdaus Gama Bagus Kuntoadi Guilin, Xie Hanafiah Hanafiah, Hanafiah Hanifah, Desty Putri Haryati Haryati Helmin Rumbiak, Helmin Hidayat, Muhtar Sofwan Hidayatu Munawaroh Hidayatu Munawaroh, Hidayatu Holidah, Holidah Hossain, Fiza Amrina I Putu Agus Dharma Hita IKADA SEPTI ARIMURTI Imam Agus Faisal, Vava Indriyani Indriyani indriyani, rahmawati Istiqomah, Habibbah Izza, Zumrotul Jannata, Taufan Jemmy, Jemmy Jiao, Deng Juniar, Shella Katmini, Katmini Khafifah, Nisa Khasbiya, Muadib Kusumawati, Nurfitri Lilla Puji Lestari Lindi, Putri M. Yunus Sudirman Maryanti Maryanti Maulidah, Khoirotun Nur Mawaddah, Nurul Meifani, Syahrani Widya Merakati, Indah Meri, Diana Miftah Parid Firmansyah Mohammad Muslih Mubin, Nurul Muhammad Saefullah, Muhammad Ngarifin Ngarifin, Ngarifin Nur Farida Nurnaini, Evi Nuwrun Thasimmim, Said p parmin, p Pandey, Digvijay Parmin Petrus Jacob Pattiasina Poncowati, Srikandi Dwi Putri hanifah, Desty Rahman Rahman Rahmi Junaida Riki Astafi Rizqi, Sofan Rohani, Edi Sari, Yollin Noviana Savitri, Sri Rahayu Shiddiq, Ngarifin Sidiq, Ngarifin Sila, Hendriyadi Bahtiar Daeng Siti Novy Romlah Sri Jumini sukawi sukawi Syam, Robingun Suyud The TEGUH ARIFIANTO, TEGUH Titik Rahayu Ningsih Triyani, Anisa Umul Hasanah, Dwi Uswatun Hasanah Utari, Ayu Sri Vava Imam Agus Faisal Vera, Azima Prisma Wahyu Nugroho Wahyuni, Noviyanti Sri Yahya, Sitti Rachmawati Yuanyuan Wang, Yuanyuan Zaenal Sukawi Zahra, Rani