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World Psychology
Published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
ISSN : 28304764     EISSN : 28304551     DOI : https://doi.org/10.55849/wp
Core Subject : Education, Social,
Education Social Sciences Other
Journal World Psychology is an open-access and peer-reviewed journal dedicated to publishing novel research in the field of psychology. Details on our focus and scope can be viewed here. World Psychology is published three times a year April, August, December and accepts current research articles that have the potential to make a significant contribution to the exploration and development of psychology and behavioral sciences. Articles submitted to this journal must display a well-thought-out study design, appropriate data analysis, and interpretation.
Arjuna Subject : Psikologi - Psikologi Pendidikan dan perkembangan
Articles 6 Documents
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Search results for , issue "Vol. 3 No. 3 (2024)" : 6 Documents clear
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.
Early Detection of Developmental Disorders Through Machine Learning Algorithm Judijanto, Loso; Zou, Guijiao; Zani, Benny Novico; Efendi, Efendi; Jie, Lie
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.v3i3.710

Abstract

Machine learning algorithms have the ability to analyze huge amounts of data and discover patterns that may not be visible to humans. Machine learning offers new hope for faster, more accurate, and cheaper screening for early detection of developmental disorders. This research was conducted with the aim of developing an effective and efficient machine learning algorithm for analyzing child development data. Apart from that, it is also to identify the most relevant features and indicators for the detection of early developmental disorders. The method used by researchers in researching the Detection of Developmental Disorders through Machine Learning Algorithms 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 this research is expected to produce a model that is not only accurate, but can also be implemented in the wider health system to provide maximum benefits for society. And can improve children's health by enabling faster detection and intervention. Ultimately, this may improve long-term outcomes for children with developmental disorders. From this study, researchers can conclude that with advances in information technology, machine learning-based applications can be accessed via mobile devices and online platforms, allowing initial screening to be carried out easily by parents and educators, even before consulting a medical professional. In recent years, machine learning (ML) technology has shown that it has enormous potential for application in various fields, including health and medical care.
Cognitive Improvement Through Non-Invasive Brain Stimulation Techniques in Healthy Adults Kurniawan, Willytiyo; Jixiong, Cai; Abdullah, Asriana; Wei, Zhang; Sari, Famella
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.v3i3.712

Abstract

Cognitive enhancement is an effort to improve or improve mental functions such as memory, attention, problem solving, language, and other thinking skills. In healthy adults, the goal of cognitive enhancement is to improve current mental abilities, increase productivity, and prolong periods of mental clarity. This research was conducted with the aim of exploring various non-invasive brain stimulation techniques such as tDCS, TMS, and tACS, which offer innovative ways to improve various aspects of cognitive function without the need for invasive procedures. While there are many potential benefits, it is important to understand the long-term effects, optimize use methods, and ensure use of this technology is safe and ethical. The method used by researchers in researching Cognitive Improvement Through Non-Invasive Brain Stimulation Techniques in Healthy Adults 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 this research is an interesting and continuously developing field in neuroscience and psychology today. With non-invasive brain stimulation techniques, it is possible to stimulate certain areas of the brain, thereby further improving cognitive functions such as memory, attention and problem solving in healthy adults. From this study, researchers can conclude that non-invasive brain stimulation, such as repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), has been proven to improve motor and cognitive function in healthy adults. Recent research shows that tDCS can modulate the brain's motor cortex, which functions to increase intelligence in healthy adults.
The Impact of Virtual Reality Therapy in Managing Chronic Anxiety in Clinical Dipsychology Zani, Benny Novico; Xu, Shanshan; Priyono, Dedit; Xavier, Murphy; Ajani, Anggra Trisna
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.v3i3.713

Abstract

Many people around the world experience chronic anxiety, which is a mental health problem. This condition is characterized by excessive and ongoing worry, often for no apparent reason, which can interfere with daily life. Virtual reality (VR) therapy is one of the innovative approaches to treating mental health conditions in recent years thanks to advances in technology. This research was conducted with the aim of finding out, such as the realism of the virtual environment, interactivity, and length of exposure, some of the elements of virtual therapy that are most helpful in reducing anxiety. In addition, to identify topics that require additional research to increase empirical evidence on the effects of virtual reality therapy, as well as encourage long-term research to evaluate the long-term impact of virtual reality therapy on chronic anxiety. The method used by researchers in researching the Impact of Virtual Reality Therapy in Managing Chronic Anxiety in Clinical 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 studies have shown quite positive results regarding virtual reality (VR) therapy in the treatment of chronic anxiety. It is used as part of exposure therapy, where a person is gradually exposed to anxiety-inducing stimuli in a safe and controlled virtual environment. It is excellent for treating phobias, post-traumatic stress disorder (PTSD), and other anxieties. From this study, researchers can conclude that virtual reality (VR) therapy can be an effective treatment for anxiety. A person receiving VR therapy has the opportunity to confront and manage anxiety triggers in a controlled and safe environment, which helps them develop resilience and coping skills.
Educational Applications to Improve Cognitive Development in Early Children: A Review of Educational Psychology Sappaile, Baso Intang; Damayanti, Damayanti; Jumiyah, Rahmi; Fernandez, Fransisca Debby Christine; Chusyairi, Kholil
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.v3i3.715

Abstract

Educational applications for early childhood (PAUD) are very important for growing children's cognitive abilities. Cognitive development in early childhood develops quickly and dynamically and can be influenced by many factors, such as the environment, opportunities and their own cognitive style. This research was conducted with the aim of creating educational applications that can improve the cognitive abilities of young children through various fun educational activities. Apart from that, this educational application also aims to improve creative abilities, remember and recognize the environment around them, recognize the concepts of numbers, letters, colors, and solve problems, as well as the ability to develop other cognitive abilities. The method used by researchers in researching Educational Applications to Improve Cognitive Development in Early Childhood: A Review of 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. Then the results of the data acquisition will also be tested again using the SPSS application. The results of research on educational applications to improve the cognitive development of early childhood can show several things related to educational psychology, such as, experience-based learning methods can encourage children's creativity. From this research, researchers can conclude that educational applications to improve cognitive development in early childhood are very effective for use in the learning process. With the various educational applications used in learning, it is able to create a fun learning process and can provide new experiences to young children.
FROM VISION TO PRACTICE: A COMPREHENSIVE EVALUATION OF THE IMPLEMENTATION OF THE INDEPENDENT CURRICULUM WITH THE CIPP MODEL Ihsan, Ihsan; Vinayastri, Amelia; Ernawati, Ernawati; Ghani, Abdul Rahman A.
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.v3i3.1050

Abstract

The Merdeka Curriculum, introduced by the Ministry of Education and Culture, aims to address learning loss stemming from the Covid-19 pandemic by emphasizing flexible learning, community involvement, and holistic student development. This study evaluates the implementation of the Merdeka Curriculum at Muhammadiyah High School 11 in Jakarta, utilizing the CIPP (Context, Input, Process, Product) model. Data were collected through structured interviews, observations, and documentation from the principal, vice-principal, teachers, students, and support staff. The findings demonstrate that the school is substantially engaged with the community (Context: score 3), the curriculum implementation is highly relevant (Input: score 4), human resources are well-prepared (Input: score 4), infrastructure necessitates technological upgrades (Process: score 3), and project-based learning effectively enhances student competencies (Process: score 3). Achievements concerning the Pancasila Student Profile indicate positive outcomes (Product: score 4). This study provides critical insights for educators and policymakers in curriculum development.

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