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Showing 371 articles found for "Interact"

The Transition from Conventional Constitutions to Digital Law: Constitutional Law Challenges in the Age of Artificial Intelligence

Septia, Sya’baniatie Ninda
Abstract: The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions… teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.

Principles of Emotions Affecting Learning and Social Learning in Elementary School

Resyi Abdul Gani, Asep Supena
Abstract: This study aims to develop a comprehensive constellation model and identify optimal strategies for strengthening lecturers’ professional commitment in the largest private universities in Bogor. Penelitian ini mengkaji secara&#8230; secara mendalam bagaimana emosi dan belajar sosial memengaruhi proses pembelajaran di sekolah dasar melalui perspektif neuropedagogik dan brain‑based learning. A mixed methods approach was used by combining quantitative analysis (meta-analysis of 173 respondents and 47 indicators of NP, EC, OB, MS, BS) and descriptive qualitative analysis using thematic analysis techniques on semi-structured interviews with five elementary school teachers. The meta-analysis results showed a very strong average effect of the latent construct relationship (t(128) = 12.92; p < 0.001; r ≈ 1.00) with almost zero heterogeneity (Qₑ(128) = 1.67; τ² = 0; I² = 0%), and no significant moderating effects were found for all indicators; the partial meta-regression coefficients for all items were very close to zero and the R² value was 0.000. Qualitatively, three main themes emerged: (1) positive emotions as the foundation of learning readiness, (2) social interaction as a reinforcement of meaning formation, and (3) contextual learning that integrates cognitive, emotional, and social dimensions. Although most teachers have not yet mastered the concepts of neuropedagogy and brain-based learning theoretically, they have intuitively implemented its principles through motivation, praise, humor, group work, collaborative projects, and learning experiences relevant to students' real lives. These findings support the latest theory that places emotions and social interactions as the main drivers of brain function in learning (Immordino Yang, 2016; Tyng et al., 2017; Vygotsky, 1978; Jensen, 2008), and emphasizes the importance of strengthening teachers' competence in understanding and designing brain- and emotion-based learning to support the holistic development of elementary school students.

Integration of Neuroscience Principles in Science Learning Media: A PICO-Based Systematic Literature Review

Winarni, Susi, Supena, Asep
Abstract: Science education at the elementary school level plays a crucial role in fostering scientific thinking, curiosity, and problem-solving skills from an early age. Nevertheless, science instruction in elementary schools often&#8230; en remains teacher-centered, verbalistic, and insufficient in promoting meaningful scientific literacy. In response to these challenges, neuroscience provides a theoretical and empirical foundation for designing learning media that align with how the brain processes, stores, and retrieves information. This study aims to systematically examine the integration of neuroscience principles into science learning media and their effects on elementary students' scientific literacy. A Systematic Literature Review (SLR) was conducted using the PICO framework (Population, Intervention, Comparison, Outcome). Relevant peer-reviewed studies published between 2019 and 2024 were retrieved from Scopus, Google Scholar, ERIC, and DOAJ databases. The review followed four stages: identification, selection, quality appraisal, and thematic synthesis. The results indicate that neuroscience-based interventions—such as Augmented Reality (AR), Brain-Based Learning (BBL), interactive multimedia, and multisensory instructional strategies—consistently improve students' motivation, attention, conceptual understanding, critical thinking, and scientific literacy compared to conventional instructional approaches. The novelty of this study lies in its systematic synthesis of neuroscience-based science learning media through a PICO-oriented framework, highlighting the interaction between cognitive, affective, and technological dimensions of learning. The findings provide important implications for science education, particularly in guiding the development of neuroscience-informed learning media and instructional designs to enhance scientific literacy in elementary schools.

Implementation of Brain-Based Learning to Reduce Mathematics Anxiety in the Teaching of Fractions at Primary School

Erni Nurjanah, Asep Supena
Abstract: This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest&#8230; t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.

Application Of Neuroplasticity Principles In Primary School Learning : Analysis Of Instruments And Interviews With Teachers At Dharma Putra Primary School

Anwar Marasabesy, Asep Supena
Abstract: This study aims to examine in depth the application of neuroplasticity principles in learning at elementary schools, focusing on the teaching practices of five teachers at SDS Dharma Putra. Neuroplasticity, as a core concept&#8230; cept in neuroscientific learning, describes the brain's ability to form, strengthen, or modify neural networks through experience, repetition, meaningful activities, and students' emotional involvement. Given the characteristics of elementary school students who are at a stage of cognitive development that is highly responsive to learning environment stimulation, a study of the application of neuroplasticity by teachers is important to ensure that the learning process is in line with the brain's working mechanisms.This study used a neuropsychological instrument measuring the dimensions of neuroplasticity to assess four main indicators, namely repetition & practice, dedicated time for review, use of interactive activities, and contextual learning that connects the material to students' real experiences. The data was reinforced through in-depth interviews and thematic analysis of the learning strategies applied by each teacher. The results showed variations in application between teachers. Some teachers showed strong implementation in interactive activities and contextual learning (score of 5), while structured repetition showed lower consistency (score of 3). The interview findings reinforced the instrument results by showing patterns of strategies such as the use of inspirational stories, educational games, quizzes with prizes, conveying the benefits of learning, and scaffolding through easy material as a starting point. This study concludes that the application of neuroplasticity principles is present in teachers' teaching practices, although the level of depth and routine still needs to be strengthened. The theoretical implication confirms that learning that integrates positive emotions, collaborative activities, planned repetition, and contextualization of material has the potential to have a significant impact on the formation of students' neural networks. Practically, this study provides recommendations for strengthening neuroscientific learning-based instructional design as an effort to optimize the learning process of elementary school students.

Exoneration Clause in Freight Forwarding Agreements from the Perspective of Consumer Protection

Indah Nuraini, Nur Handayati, Wahyu Prawesti, Hartoyo Hartoyo, Noenik Soekorini
Abstract: Freight forwarding agreements in Indonesia frequently contain exoneration clauses that exempt logistics providers from liability for loss or damage, raising serious concerns regarding consumer protection. While such clauses&#8230; ses are designed to manage contractual risk, they often conflict with the principles enshrined in Law No. 8 of 1999 on Consumer Protection (UUPK), particularly those ensuring fairness, good faith, and legal accountability. This study investigates the legality and ethical implications of exoneration clauses within standard-form freight forwarding contracts used by companies such as JNE, TIKI, and SiCepat. Employing a doctrinal legal research methodology, the study integrates statutory, conceptual, and case-based approaches to analyze primary legislation, judicial decisions, and relevant legal doctrines. It critically evaluates the use of these clauses in light of consumer rights, contract theory, and the economic impact on service quality. Findings reveal that exoneration clauses not only contravene the UUPK but also create systemic contractual imbalances due to the lack of negotiation opportunities and transparency. The study proposes a normative legal framework for reform, including clause classification, interactive consent mechanisms, and regulatory enforcement to ensure contractual fairness. This research contributes to both legal scholarship and policy development by highlighting the urgent need for doctrinal clarity and regulatory oversight in Indonesia's logistics sector.

The Influence of Employee Motivation on the Quality of Administrative Services at the Leihitu Sub-District Office, Central Maluku Regency

Malawat, Lestari, Stanislaus Kostka Ohoiwutun, Ivonny Yeany Rahanra
Abstract: Public service quality is one of the fundamental indicators in assessing the performance of government institutions, especially at the district level where direct interactions with citizens take place. This study aims to&#8230; analyze the influence of employee motivation on the quality of administrative services at the Leihitu Sub-district Office, Central Maluku Regency. The research employs a quantitative approach with an explanatory design to identify causal relationships between variables. The population in this study consists of all employees involved in administrative services, and total sampling was used due to the manageable number of staff. Data were collected through a structured questionnaire using a Likert scale to measure motivation and service quality indicators. The data were analyzed using descriptive statistics and linear regression to determine the effect of motivation on service quality. The results show that employee motivation significantly and positively influences administrative service quality. Employees with higher intrinsic and extrinsic motivation tend to demonstrate better responsiveness, discipline, communication, and consistency in carrying out public service functions. The study concludes that strengthening motivation is essential to improve public service performance. Therefore, organizational leaders are encouraged to enhance work motivation through recognition, supportive leadership, fair reward systems, and professional development opportunities to ensure services meet community expectations.

Mobile Learning Applications for Islamic Studies: A Systematic Review of Design Principles and Learning Outcomes

Ibadurrahman, Muhammad, Asep Supriyadi, Muhamad Nizan Solahudin, Wawan Ridwan, Lina Nuraini, Aas Solihat, Andriyana Andriyana
Abstract: The advancement of digital technology has paved the way for the emergence of various mobile learning applications increasingly used within the context of Islamic education. This phenomenon not only reflects the trend of&#8230; integrating technology into modern learning systems but also raises fundamental questions about how these applications are designed and how far they impact learners’ experiences and learning outcomes. This article presents a systematic review of scholarly studies discussing the use of mobile applications in Islamic studies education. The review focuses on two key aspects: the design principles employed in application development and the learning outcomes achieved following their use. The review involved selecting literature from the past six years using specific inclusion criteria, including content relevance, source credibility, and its connection to mobile learning practices in Islamic education. Analysis reveals that designs considering cultural appropriateness, user interface interactivity, and integration of Islamic values positively influence students' emotional engagement, motivation, and content comprehension. Learning outcomes also extend into affective and spiritual domains, not merely cognitive. These findings serve as an initial foundation for developers and educators to build an adaptive, meaningful, and value-based Islamic mobile learning ecosystem.

The Effect of Gadget Use on Social Interaction Among Preschool Children in XYZ Sub-District, Surabaya

Yenny, Yenny Yenny, Nurul Suhesti, Nevrettia Christantyawati, R. Ayu Erni Jusnita, R. Hartopo Eko Putro
Abstract: This research examines the impact of gadget use on early childhood social interaction within the urban setting of XYZ Village, Surabaya, amid the growing prevalence of digital exposure among young children. Anchored in Vygotsky’s&#8230; ygotsky’s Sociocultural Theory and the Socialisation Theory, the study evaluates how the duration and frequency of gadget use influence key social competencies, including verbal communication, cooperative behavior, and empathy in children aged 3 to 6 years. Employing a quantitative, cross-sectional design, the study collected data from 100 children using parent-administered questionnaires and direct observational methods, followed by analysis through multiple linear regression. The findings demonstrate that both the duration and frequency of gadget use exert a statistically significant influence on children’s social interaction (p < 0.05), accounting for 19% of the variance (R² = 0.190). The remaining variation is likely influenced by external variables such as parenting styles, digital content quality, and psychological factors. These outcomes underscore the importance of regulated gadget use, active parental involvement, and integrative educational practices that promote both digital literacy and interpersonal development.

Virtual Teachers And Teaching Robots: Transform Innovation Of The Future Of Learning In The Era Of Artificial Intelligence

Darimis Darimis, Chairul Anwar, Nasril Nasril, Viviana Lisma Lestari, Akhmad Ramli
Abstract: This research aims to analyze the role of virtual teachers and teaching robots as transformative innovations in learning systems in the era of artificial intelligence (AI). With the development of AI technology, this research&#8230; earch focuses on how these two technologies can increase learning effectiveness, personalize education, as well as the challenges and opportunities faced in their implementation. The research method used is a literature study with a qualitative approach, collecting and analyzing data from various sources such as journals, articles and reports related to virtual teachers, teaching robots and the application of AI in education. The research results show that virtual teachers and teaching robots are able to provide adaptive solutions in learning, such as 24/7 service, instant feedback, and a more interactive learning experience. However, its implementation still faces obstacles such as emotional limitations, ethical data use, and infrastructure readiness. This study concludes that this innovation has the potential to revolutionize education, as long as it is supported by appropriate policies, improving the quality of technology, and the readiness of human resources. This research provides recommendations for technology developers, educators and policy makers to optimize the use of AI in learning in the future.