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This paper reviews the role of Artificial Intelligence (AI) in Islamic education within secondary schools, emphasizing both its practical uses and the ethical challenges it presents. The review looks into the current trends, tools, and the impact of AI on the learning experience, as well as its ethical implications from an Islamic perspective. The study follows a systematic literature review (SLR) approach based on the PRISMA guidelines and includes research from 2022 to 2025, sourced from platforms like Google Scholar. After a thorough selection process, 15 articles were included in the review, offering valuable insights into the technological and ethical aspects of AI in Islamic secondary education. The use of AI has notably enhanced learning outcomes in Islamic education by allowing personalized learning, boosting student engagement, and streamlining feedback mechanisms. Tools like intelligent tutoring systems and educational chatbots have been widely adopted. However, challenges around data privacy, algorithmic bias, and technology access persist. Additionally, incorporating Islamic ethical values into AI-driven educational platforms presents both opportunities and challenges. Addressing these ethical implications is vital, requiring frameworks that align with Islamic principles such as maṣlaḥa (public welfare), justice, and human dignity. Education policies and teacher training programs should concentrate on promoting the responsible use of AI, ensuring it improves educational experiences while preserving ethical and cultural integrity.

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

The development of Artificial Intelligence (AI) technology has provided new opportunities to enhance the quality of learning, particularly in elementary science education. One form of AI utilization is chatbots, which function as interactive learning media capable of encouraging students’ active participation. In science learning, questioning behavior is an important indicator of students’ cognitive engagement; however, many elementary school students tend to be passive in asking questions. This study aimed to examine the effect of using AI chatbots in science learning on students’ questioning behavior in Grade V of SDN Plalangan 03 Gunungpati, Semarang City. This study employed a quantitative approach with a quasi-experimental design. Data were collected through observation, questionnaires, and documentation. The data were analyzed to identify changes in students’ questioning behavior before and after the implementation of AI chatbots in science learning. The results indicated that the use of AI chatbots improved students’ questioning behavior in terms of frequency, confidence, and activeness in asking questions. AI chatbots provided a comfortable and flexible interaction space for students, which helped reduce psychological barriers in questioning. It can be concluded that the use of AI chatbots has a positive effect on students’ questioning behavior in elementary school science learning.

This study aims to analyze user sentiment toward the integration of Artificial Intelligence (AI) in online learning platforms, which are increasingly expanding in the digital era. With the growing use of AI technologies in education—such as learning chatbots, material recommendation systems, and automated assessments—it is essential to understand users’ perceptions and reactions to these implementations. The research employs sentiment analysis based on text mining using user review data collected from various online learning platforms. The analysis process includes data preprocessing, sentiment classification using machine learning algorithms, and interpretation of results based on the proportion of positive, negative, and neutral sentiments. The findings indicate that most users express positive sentiments toward AI integration, as it enhances learning efficiency and personalization. However, some users raise concerns regarding data privacy and the lack of human interaction. This study is expected to serve as a reference for educational platform developers to design AI systems that are more adaptive, transparent, and user-centered

Artificial Intelligence (AI) is a technology that has had a significant impact on various aspects of life, including science. Recent developments in AI have shifted the traditional boundaries of knowledge production and distribution, including in the religious realm. This research aims to fill the epistemological gap in contemporary Islamic legal thought by offering an integrative framework between traditional ijtihad and supervised digital ijtihad practices. This research uses a normative-qualitative (juridical-normative) approach. The researchers found that AI has the potential to be an effective tool for strengthening religious moderation, particularly through digital education, the dissemination of messages of tolerance, and the dissemination of counter-narratives against radicalism. For example, da'wah chatbots and digital interpretation applications can expand moderate religious literacy. However, the research also highlights various challenges, including epistemological issues stemming from AI's lack of a scientific chain of command, the risk of shifting authority from scholars to technology, and the lack of legal regulations governing responsibility for AI-generated religious content. Therefore, specific regulations and collaboration between scholars, the government, and technology developers are needed to ensure that AI continues to support the maqāṣid al-Shari'ah (the principles of Islamic law) and religious moderation.

Implementation Artificial Intelligence as a supporting model for e-learning still faces several challenges. This is due to several aspects, such as concerns about loss spiritual touch, low digital literacy educators, limited technological infrastructure in educational institutions, and so on. On the other hand, the interaction that occurs between students and teachers is an emotional and moral dimension that occurs. The purpose study is to analyze the use AI as supporting model for e-learning in Islamic education. In this study, the method used is descriptive qualitative research. The findings study are (1) Views Islamic education practitioners on Artificial Intelligence, one which is that the existence Artificial Intelligence is not absolute replacement between students and teachers. However, Artificial Intelligence is considered means or tool in understanding learning; (2) The results  analysis explain that several AI (Artificial Intelligence) in e-learning in Islamic education have been present in several forms, including increasing access and inclusivity, translating and understanding classical manuscripts, analyzing learning and automatic assessment, material recommendation systems and learning personalization, as well Chatbots and virtual learning assistants; (3) Concept Islamic education is not only oriented towards the transfer knowledge (ta'lim), but also the formation of morals and spirituality (tarbiyah and ta'dib).

The development of information technology in the era of the Industrial Revolution 5.0 has brought significant changes to the world of education, including guidance and counseling services in schools. The use of artificial intelligence (AI)-based chatbots is an innovation that can improve the effectiveness, accessibility, and interactivity of services for students. However, on the other hand, the use of this technology also raises challenges related to ethics, privacy, and the decline of humanistic values in counseling interactions. Based on this, this study aims to analyze the positive and negative impacts of chatbots on the effectiveness of guidance and counseling services in schools. This study uses library research. Data were collected from various sources, such as books and journals related to the impact and role of chatbot use in guidance and counseling services. The results of the study show that the use of chatbots has negative and positive impacts that are very helpful and beneficial in guidance and counseling services in the current digital era, but they only function as a supporting tool and cannot replace the role of human counselors.

The rapid development of Artificial Intelligence (AI) has made it a part of the teens' routine, but the intensity of its use raises concerns about mental health. This study aims to analyze the pattern of AI utilization and its impact on stress, anxiety, and depression in students of St. Petrus Medan High School using the framework of Self-Determination Theory (SDT), namely competence, autonomy, and connectedness). The research was conducted with a quantitative approach through a survey of 64 students using a total sampling technique, equipped with focused group discussions (FGDs) and literature review. The results show that more than 70% of students use AI on a regular basis, mainly through chatbots (81%) and social media (73%). Some students (35.9%) also use AI as a means of venting. Although 85.9% of respondents found AI to be helpful, the majority (59.3%) reported feeling inferior as a result of comparing themselves to AI results. These findings reveal a psychological paradox, where AI is perceived as a solution as well as a source of pressure. This condition has the potential to trigger stress and anxiety, although depressive symptoms do not yet appear to be dominant. This research emphasizes the importance of healthy digital literacy as well as mentoring from schools and parents to reduce the risk of AI addiction and maintain adolescent mental well-being.

In today's digital era, the need for fast, accurate, and responsive information systems is increasingly pressing, especially in the higher education sector where prospective students often face obstacles in directly obtaining relevant and reliable academic information. To address this challenge, this research focuses on the design and development of an academic service chatbot by implementing the Retrieval-Augmented Generation (RAG) method at Catur Insan Cendekia University. The RAG approach combines information retrieval capabilities from various documents (retrieval) with the generative intelligence of language models, thus being able to produce contextual, personalized, and data-driven answers. The chatbot system was developed using Python, LangChain, FAISS, and the GPT model as the core of natural language processing. Performance evaluation was conducted using the ROUGE metric, which showed quite good results with a ROUGE-1 value of 0.50 and a ROUGE-L of 0.48. These findings prove that the system is capable of providing relevant and high-quality responses in helping answer prospective students' academic questions. With these advantages, this chatbot is expected to be an innovative solution to improve the quality of academic information services at UCIC, as it can present data quickly, accurately, interactively, and automatically. Furthermore, the implementation of this artificial intelligence-based technology aligns with digital transformation efforts in higher education, supporting the efficiency of academic services and strengthening the institution's image as a modern campus that adapts to developments in information technology.

The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.

This study aims to explore how users' perceptions of the chatbot on the Shopee platform influence user satisfaction and loyalty. The research employs a qualitative approach with in-depth interviews to gather users' experiences and views on their interactions with the chatbot. The findings reveal that three key factors—clarity of responses, ease of access, and relevance of information—are crucial in determining user satisfaction. Users who found the chatbot's responses clear and easily understood, along with quick access, were generally more satisfied with the service provided. However, despite achieving user satisfaction, loyalty to the platform has not been fully established. This is due to the chatbot's limitations in building emotional connections with users and its inability to handle more complex issues. While the chatbot is effective in providing automated solutions for simple problems, it lacks the empathy and personalized attention necessary when users encounter more intricate issues or require a deeper level of interaction. These findings highlight that although chatbots can enhance the efficiency of basic customer service, they cannot fully replace human interaction, particularly in customer service contexts that require emotional engagement and a deeper understanding of the user's needs. To foster stronger user loyalty, a combined approach involving both technology and human interaction is essential. The chatbot can address routine issues, while more complex matters should be referred to customer service representatives who can offer empathetic and tailored solutions. The recommendation from this study is for Shopee platform developers and sellers to strategically optimize chatbot use while maintaining human interaction that is adaptable, in order to enhance user satisfaction and loyalty.

In today's digital era, technological development is occurring rapidly and having a significant impact on various aspects of human life, including Islamic da'wah. The transformation of the spread of Islamic teachings in the digital age has become inevitable along with the rapid advancement of information technology, particularly with the advent of Artificial Intelligence (AI). This study aims to explore how AI is utilized in spreading Islamic values and analyze the accompanying ethical and theological challenges. This research uses a qualitative approach with a literature study method, which includes a review of scientific journals, articles, and contemporary Islamic documents. The results show that AI has been applied in various forms of digital da'wah. For example, Islamic chatbots that can automatically answer religious questions, prayer and other worship reminder applications, and Quran learning platforms equipped with voice recognition and tajweed recitation technology. Although innovative and promising, the use of AI in da'wah poses challenges, particularly the threat to authority over scientific knowledge, the validity of religious content, and the risk of dehumanization in the process of conveying Islamic teachings. Therefore, an adaptive yet ethical approach to Islamic preaching is needed, involving collaboration between religious scholars, academics, and technology experts. This approach must take into account the values of Islamic law, morality in digital communication, and sensitivity to the cultural context of Muslims. Thus, AI-based Islamic preaching can be an innovative solution for effectively reaching a wider audience, without sacrificing the essence and spirituality taught by Islam itself. Thus, AI-based Islamic preaching can be an innovative solution for effectively reaching a wider audience, without sacrificing the essence and spirituality taught by Islam itself. Going forward, a sustainable Islamic digital ecosystem needs to be built so that technology becomes not only a tool, but also a means of increasing faith and piety.

The development of digital technology has brought about significant changes in the way humans communicate and live their daily lives. One important innovation is Artificial Intelligence (AI), one tangible manifestation of which is the chatbot as a virtual friend. This study aims to examine the role of chatbots as virtual friends through a literature review approach. The results of the study indicate that chatbots can serve as a potential, easily accessible tool for providing emotional support. Chatbots are able to create a safe space for users, especially Generation Z, to express themselves and overcome loneliness. However, the relationship between humans and chatbots is complex. Chatbots can mimic supportive responses, but as algorithmic systems, their ability to experience true empathy is very limited. Users' awareness that responses are coming from a machine also influences perceptions of trustworthiness and the quality of the interaction. On the other hand, the use of chatbots also raises serious ethical challenges, such as data privacy issues, the potential for over-dependence, and increased loneliness if chatbots are used as a substitute for real social interaction. Therefore, the development and use of chatbots as virtual friends must be carried out with a critical understanding and ethical approach. Technology design oriented towards humanitarian values is needed so that the presence of chatbots does not diminish the essence of human relationships but instead becomes a psychosocially beneficial complement.

This study explores the digital transformation of public services through SAMSAT Digital in Lumajang, Indonesia, focusing on the perceptions of the younger generation. The implementation of SAMSAT Digital aims to improve accessibility, efficiency, transparency, and user experience in vehicle administrative services. The research highlights that the success of this digital innovation depends on key factors such as ease of use, data security, and service speed. The integration of advanced features like intuitive interfaces, proactive notifications, AI-powered chatbots, and flexible digital payments significantly enhance user satisfaction and adoption, especially among tech-savvy youths. Challenges such as limited digital literacy and infrastructural issues require continuous education and infrastructure improvements. Overall, the findings demonstrate that effective digital service innovation, supported by a strong commitment to security, usability, and infrastructural development, can foster more effective, transparent, and inclusive public services, contributing to better quality of life and modern governance.

A good administrative system in admitting new students not only makes things easier for prospective students, but also increases the efficiency and effectiveness of the registration process. With a structured system, prospective students can register directly at the counter or via an online platform, which makes access easier and reduces waiting time1. This is in line with the need for institutions to adapt to the digital era and improve services to prospective students. However, this often happens in the process of accessing information and inputting data. Because some students are still searching for registration information at Pancasakti University manually, this will take time and energy. When Pancasakti University Tegal opened student registration, thousands of prospective Pancasakti University Tegal students and their parents contacted the administration of Pancasakti University Tegal with various questions about the registration process and requirements. Chatbots, as a technological innovation based on artificial intelligence, offer an efficient solution to this problem. Chatbot is AI software that can interact with humans via text or voice, simulate human conversation, and provide relevant responses..

The use of Artificial Intelligence (AI) in education offers significant opportunities to transform learning processes, including in Catholic Religious Education (CRE) at the senior high school level. This article aims to identify effective and ethical strategies for integrating AI into CRE instruction by considering Catholic faith values and students’ character development. The study uses a qualitative literature review approach to analyze scholarly sources and current practices of AI application in education. Findings indicate that AI can enhance personalized learning, provide real-time feedback, and create more interactive and context-rich learning experiences. Practical implementations such as adaptive learning systems, chatbots, and AI-based simulations have shown positive impacts on students' comprehension. However, challenges including teacher readiness, technological infrastructure, and ethical concerns must be addressed seriously. Therefore, integrating AI in CRE must be done thoughtfully, responsibly, and in harmony with religious and moral contexts. With careful planning, AI can become a valuable tool to deepen students' faith understanding and support holistic character formation in the digital age.

The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual shopping assistants can enhance customer loyalty, sales conversion, and consumer satisfaction in online marketplaces. Using a mixed-method approach involving in-depth interviews and quantitative surveys, the research identifies consumer perceptions of this technology and its impact on their purchasing decisions. Findings reveal that consumers who engage with AI-powered virtual shopping assistants report more personalized and satisfying shopping experiences, contributing to increased loyalty and sales conversion for e-commerce platforms. This article provides practical insights for marketplace managers to optimize the use of AI in creating more personalized and responsive shopping experiences. Furthermore, this research opens opportunities for further exploration of AI integration across various digital shopping channels.

Grammar correction has long been recognized as one of the most essential yet challenging aspects of second language (L2) learning. Teachers are expected to provide detailed and contextual feedback, but this process is often time-consuming and less effective in large classrooms. This study investigates the potential of AI-based chatbots as innovative tools for delivering personalized and real-time grammar feedback to support English language learning. The research employed an experimental design involving two groups: an experimental group using AI chatbots for grammar practice and a control group applying traditional teacher-based correction. Data were collected through grammar pre-tests and post-tests, writing tasks, engagement and motivation questionnaires, classroom observations, and student reflection notes. The findings demonstrate that students in the experimental group achieved significantly higher improvements in grammar accuracy compared to the control group, particularly in subject–verb agreement, tense usage, and complex sentence structures. In addition, chatbot use fostered greater engagement, motivation, and active participation, with students reporting reduced language anxiety and increased confidence in practicing English. Writing performance also improved, as students in the experimental group produced more structured, coherent, and grammatically varied texts. These results highlight the potential of AI chatbots not only to enhance linguistic accuracy but also to promote autonomous and personalized learning. In conclusion, AI chatbots represent an effective and scalable pedagogical tool that can complement traditional teaching methods while addressing teachers’ time constraints and improving students’ overall language learning outcomes.

This abstract explores the role of artificial intelligence (AI) in enhancing consumer satisfaction in Sichuan's online customer experience and service efficiency. With the rapid growth of e-commerce, understanding consumer preferences and behaviors has become crucial. AI technologies like chatbots, predictive analytics, and personalized recommendations are integrated into online platforms to streamline service delivery and improve user interactions. By leveraging data-driven insights, businesses can tailor their offerings to meet the specific needs of consumers, thereby increasing satisfaction levels. Furthermore, AI facilitates faster response times and more efficient problem resolution, leading to a seamless shopping experience. This study was conducted through an online questionnaire distributed to 380 Sichuan participants to measure their optimization and service efficiency satisfaction. The findings underscore that technical infrastructure, user acceptance and engagement, and service quality positively correlate with consumer satisfaction in AI experience improvement.

The utilization of technology in education has been increasingly developed, one of which is the use of chatbots in mathematics learning in elementary schools. This study aims to analyze the impact of chatbot usage on students' understanding of mathematics, learning independence, and time management. This research uses the Systematic Literature Review (SLR) method by reviewing various recent studies related to the implementation of chatbots in learning. The findings indicate that the use of chatbots can enhance students' understanding of mathematical concepts, strengthen learning independence, and help students manage their learning time more effectively. Chatbots provide opportunities for students to learn independently, give real-time feedback, and offer flexibility in learning time. The implications of this research emphasize the importance of integrating technology, specifically chatbots, to support more interactive and adaptive mathematics learning in elementary schools. The study also provides recommendations for further development of educational technology to improve the quality of future learning.