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This study investigates the role of artificial intelligence (AI) in enhancing language learning, with a focus on five key applications: automatic text analysis, personalized learning, adaptive feedback, language error detection, and automatic translation. The study addresses the challenge of integrating AI effectively in educational contexts while balancing technological potential with pedagogical guidance. The objective is to provide a comprehensive understanding of how AI tools contribute to more adaptive, efficient, and engaging language learning experiences. A systematic literature review method was employed, selecting and critically analyzing studies published between 2020 and 2025 that examined AI-assisted language learning strategies. The findings indicate that automatic text analysis supports comprehension monitoring and guided learning, while personalized learning adapts content to individual learner needs, enhancing motivation and retention. Adaptive feedback delivers immediate, targeted guidance that fosters accuracy and self-regulated learning, and language error detection tools enable learners to identify and correct grammatical and lexical mistakes, promoting metalinguistic awareness. Automatic translation broadens access to authentic texts and cross-cultural materials, supporting comprehension and independent learning. Synthesizing these findings highlights the transformative potential of AI to improve learning outcomes while also revealing challenges such as tool reliability, ethical considerations, and the need for teacher oversight. The study concludes that AI, when thoughtfully integrated, complements instruction, enhances learner engagement, and supports differentiated and data-driven teaching strategies, providing valuable insights for language educators and guiding future research on AI-enabled language learning.

This research aims to critically examine the ethical integration of artificial intelligence (AI) in education through the perspective of maqāṣid al-sharīʿah, emphasizing the alignment between technological innovation and Islamic moral principles. The methods used are a systematic literature review and thematic content analysis against peer-reviewed publications for the period 2015–2025, which discuss the application of AI in primary, secondary, and higher education. The study identified dominant ethical issues, such as data privacy, algorithmic bias, accountability, human agency, and moral development, which were then mapped to Islamic ethical goals, including ʿadl (justice), amānah (belief), karāmah al-insān (human dignity), and ḥifẓ al-ʿaql (protection of reason). The results of the analysis show that the adoption of AI in education often emphasizes efficiency, personalization, and predictive analytics, but has the potential to reduce learners' autonomy and ethical reasoning. The mapping of maqāṣid al-sharīʿah shows a strong normative conformity, so that Islamic principles can be a moral foundation as well as a practical guide for AI governance. The research contribution is theoretical by bridging the literature on AI ethics and Islamic educational philosophy, as well as practical by offering an integrative framework for AI policymakers, educators, and developers. The integration of maqāṣid al-sharīʿah in AI governance ensures justice, trust, inclusivity, and the development of the whole human being (insān kāmil).

This study aims to determine the effectiveness of the use of the artificial intelligence-based application (AI-Based Application) Duolingo in improving vocabulary mastery of EFL (English as a Foreign Language) students in Indonesia. This study used a descriptive quantitative approach with a single-group pre-test and post-test design involving 20 students of class VII C of SMP Negeri 1 Mappakasunggu. Data were collected through vocabulary tests, questionnaires, and classroom observations. The results showed a significant increase in students' vocabulary mastery, marked by an increase in the average score from 61 (fair category) in the pre-test to 78 (good category) in the post-test. Most students gave a positive perception of the use of Duolingo, especially regarding the gamification features, instant feedback, and simple and attractive display, which can increase motivation and learning engagement. The results of the observation also showed that students were more active and enthusiastic in using this application compared to traditional learning methods. Thus, Duolingo can be said to be effective as an AI-based learning medium to improve vocabulary mastery of junior high school students in Indonesia.  

The development of digital technology and the demands of 21st-century learning require teachers to implement meaningful and student-centered learning through an immersive learning approach. However, many elementary school teachers still face limitations in understanding the concept of immersive learning and utilizing technology-based learning media, especially three-dimensional (3D) and Artificial Intelligence (AI)-based media. Therefore, this Field Study activity aims to improve the knowledge and skills of teachers and students in implementing immersive learning through the use of 3D-based learning media and AI technology at the UPTD of SD Negeri 155684 Lubuk Tukko 1, Pandan District. The activity was implemented through a four-day workshop involving teachers and students, using an approach of socialization, demonstrations, hands-on practice, discussion, and reflection. The workshop materials covered the concept of immersive learning, the use of 3D-based learning media, gamification of learning through 3D Media applications, and the use of Artificial Intelligence in developing teaching materials and learning media. Evaluation of the activity was conducted through pre- and post-tests, participant observation, and analysis of the resulting learning products. .The results of the activity showed an increase in teachers' understanding and skills in designing and implementing technology-based immersive learning. Teachers were able to produce interactive learning media, teaching modules, and evaluation questions using 3D media, 3D media, and AI. Furthermore, this activity also increased teachers' motivation, creativity, and awareness of the importance of digital literacy in learning. This Field Study activity made a positive contribution to improving teacher competency and supporting the creation of more innovative, interactive, and relevant learning that reflects the characteristics of 21st-century learners.

This research examines the practices of a B4 class teacher at RA Takhrimah Tungkop in identifying children’s Multiple Intelligences (MI) through authentic observation during an activity of printing moon shapes using banana stems. The study employed a descriptive qualitative approach with data collected through in-depth interviews and participatory observation. Data were analyzed thematically and supported by source and technique triangulation to ensure the validity of the findings. The results indicate that the teacher’s understanding of the MI concept was still focused on linguistic, logical-mathematical, and visual-spatial intelligences. Despite this limited conceptual scope, the implementation of authentic observation during the art-based activity successfully revealed a broader range of children’s intelligences. The moon-printing activity demonstrated indicators of visual-spatial intelligence through shape recognition and composition, bodily-kinesthetic intelligence through hand–eye coordination and motor control, and intrapersonal intelligence reflected in children’s ability to manage emotions, maintain focus, and show persistence during the task. Repeated observations accompanied by anecdotal records enabled the teacher to construct individual and continuous MI profiles for each child. These profiles can be utilized to design more varied, contextual, and child-centered learning strategies that align with the characteristics of early childhood learners in the Raudhatul Athfal setting. The practices observed also illustrate the connection between Gardner’s MI theory and Islamic early childhood education grounded in concrete learning activities. The findings support the development of child-friendly learning environments and encourage teacher creativity in conducting activity-based assessments. This study recommends strengthening teacher competencies through training in authentic MI assessment and further research using a research and development approach.

This study examines the integration of Artificial Intelligence (AI) in Christian Religious Education (PAK), using four Biblical principles love, justice, truth, and stewardship as a framework. Employing a qualitative approach with thematic triangulation through interviews with leaders, lecturers, and students, the research aims to understand how AI can be used ethically in PAK. The findings indicate that AI, when applied thoughtfully and ethically, can significantly enhance the learning process. The principle of love emphasizes the importance of honesty, empathy, and a compassionate approach in the use of AI. Justice calls for equitable access to AI tools, ensuring that all learners can benefit regardless of their backgrounds. The principle of truth encourages theological discernment in the application of AI, ensuring that it aligns with Christian teachings. Stewardship highlights the responsibility to manage AI technologies wisely, using them to serve God's purposes. AI is viewed not as a replacement for human educators but as a tool to serve and glorify God in the educational process. The study suggests that theological institutions should create ethical AI guidelines to ensure responsible use and should focus on enhancing faith-based digital literacy among students, preparing them for the digital age while remaining rooted in their faith.

Arabic grammar (nahwu) instruction has long been dominated by rule-based approaches that emphasize memorization and formal analysis, often resulting in rigid learning structures and limited responsiveness to learners’ cognitive diversity. While such approaches play an important role in preserving grammatical accuracy, they frequently overlook individual learning trajectories, cognitive readiness, and adaptive instructional needs. In the era of artificial intelligence (AI), language education is increasingly shaped by adaptive learning systems that personalize content, pacing, and instructional strategies based on learners’ profiles. This study aims to reconceptualize Arabic grammar instruction by proposing a conceptual framework that integrates traditional nahwu principles with adaptive learning systems informed by AI. Using a qualitative conceptual analysis, this paper synthesizes classical Arabic grammar pedagogy, contemporary theories of adaptive learning, and recent developments in AI-supported language instruction. The proposed framework highlights key components, including learner profiling, cognitive-level alignment, hierarchical nahwu content structuring, and AI-assisted scaffolding mechanisms. The findings suggest that adaptive learning systems offer significant pedagogical potential to transform nahwu instruction from a static, rule-centered model into a flexible, learner-centered process. This reconceptualization is expected to enhance grammatical comprehension, reduce cognitive overload, and promote learner autonomy in Arabic language education, particularly in Islamic higher education contexts. The study concludes by discussing pedagogical implications and directions for future empirical research on AI-assisted Arabic grammar learning.

The rapid digital transformation occurring in the field of education, particularly through the integration of artificial intelligence (AI), has created new opportunities for improving learning efficiency, personalizing instruction, and supporting educators’ workloads. However, these advancements also bring forth significant philosophical challenges, especially the potential for dehumanization within the educational process. This article examines how technology influences the fundamental human dimensions of learning and how the concept of humanization can serve as an ethical framework for designing and implementing educational technologies. AI-based digital learning environments often position learners as data objects, reducing the dialogical, empathetic, and relational aspects that are fundamental to humanistic education. Drawing on philosophical perspectives from existentialism and humanism, this study evaluates the potential threats to student autonomy, critical thinking, and character formation. Furthermore, it explores how the human–technology relationship can be ethically framed through the theory of technological mediation and Paulo Freire’s notion of liberatory education. The analysis indicates that technology can be humanized by emphasizing meaningful interaction, ensuring algorithmic transparency, and strengthening the role of teachers as mediators of values and empathy. Ultimately, the article argues that the benefits of AI in education can only be fully realized when technological development and implementation are guided by an ethical orientation that places human beings at the center. This study contributes to ongoing discussions on the role of technology in education and provides a critical perspective aimed at minimizing the risk of dehumanization in an era increasingly shaped by AI-driven digital learning.

The era of automation has brought profound changes to the educational landscape through the integration of intelligent technologies, artificial intelligence, and digital systems that increasingly shape learning processes. This transformation not only affects the interaction patterns between educators and learners but also shifts foundational educational values and introduces significant ethical challenges. In the context of Islamic education, these changes require a reformulation of relevant educational values to preserve learners’ moral and spiritual integrity. This study aims to analyze Islamic educational values in the age of automation and examine their ethical implications for strengthening character education. Through a comprehensive literature-based approach, the study finds that values such as amanah (trustworthiness), adl (justice), ihsan (excellence), mas’uliyyah (accountability), and mujahadah (perseverance) serve as essential instruments in building learners’ character so they can use technology wisely and responsibly. Furthermore, the study emphasizes that automation demands the integration of digital literacy and Islamic moral literacy to prevent dehumanization, digital plagiarism, technology dependence, and the decline of spiritual awareness. The findings indicate that character education grounded in Islamic values provides a strong ethical framework for addressing emerging moral risks in the digital era. Therefore, curriculum reconstruction, strengthening the role of educators as “digital murrabbi,” and the proportional use of technology aligned with maqāṣid al-syarī‘ah are required. This research contributes by offering a comprehensive Islamic ethical perspective as a foundational framework for the development of character education amid the rapid and inevitable acceleration of automation.

This study aims to explore the impact of the Jumat Bersih (Clean Friday) activity on enhancing the interpersonal intelligence of early childhood learners, as well as the challenges encountered during its implementation. This research employed a qualitative descriptive approach, with data collected through observation, interviews, and documentation. Observations were conducted directly and recorded on observation sheets, interviews were carried out using pre-prepared question guides, and documentation was obtained directly from the school. Data analysis utilized thematic analysis with a triangulation method. The results of the study indicate that the Jumat Bersih activity plays a significant role in facilitating the social learning process among young children. The activity supports the development of cooperation, effective communication, empathy, and conflict resolution skills. The positive impacts observed during the activity were also reflected in the children’s daily behaviors, both at school and at home. Therefore, such activities can serve as an effective learning model for strengthening interpersonal intelligence. The main challenges in implementing Jumat Bersih include differences in children’s social abilities, difficulties in guiding balanced interactions, and the need for consistent strategies from schools and teachers. However, these challenges can be addressed through appropriate approaches, active guidance, and collaboration between schools and parents

This study investigates students’ perceptions of Smalltalk2Me, an artificial intelligence (AI)-powered conversational assistant designed to improve speaking skills in classroom learning. The main objective of this research is to explore how students perceive the tool’s effectiveness, usefulness, interactivity, and overall learning experience when using it for speaking practice. The research employed a qualitative descriptive method, with data collected through semi-structured interviews involving students who had used Smalltalk2Me as part of their English-speaking activities. The interview data were analyzed thematically to identify emerging patterns related to engagement, motivation, and skill development. The findings reveal that students view Smalltalk2Me as an effective and accessible tool that enhances speaking fluency and confidence since it allows practice anytime and anywhere. Students also appreciate its realistic conversation simulations and personalized feedback, which help them recognize pronunciation errors, improve vocabulary use, and refine sentence structure. Additionally, the AI assistant creates a supportive and low-anxiety learning environment, making learners more comfortable expressing themselves in English. Overall, the study concludes that Smalltalk2Me serves as a valuable supplementary tool for improving students’ speaking competence and fostering autonomous learning in technology-enhanced language classrooms.

Advances in artificial intelligence (AI) technology present both opportunities and challenges for education. On the one hand, AI can enrich the learning process; on the other hand, it has the potential to shift human values ​​in education. This study aims to describe teachers' efforts to humanize learning in the AI ​​era, particularly in fostering students' learning awareness and independent thinking at SMAN 2 Singingi Hilir. The study used a descriptive qualitative approach with data collection techniques through interviews, observation, and documentation. Data analysis was conducted following the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that teachers act as facilitators and inspirators in technology-based learning. Humanization of learning is realized through instilling the values ​​of reflection, empathy, and responsibility in the use of AI. In addition, teachers foster students' independent thinking through project-based learning and reflective discussions that balance digital intelligence with moral values. This process helps students become critical, independent, and ethical learners amidst the digitalization of education.

This research explores the dual impact of Artificial Intelligence (AI) on the academic writing experiences of English Literature students learning English as a Foreign Language (EFL). AI tools like ChatGPT, Grammarly, and QuillBot are commonly used for grammar correction and sentence construction. These tools are integrated into students' writing processes, providing valuable assistance in refining their written work. However, their psychological effects, particularly in terms of emotional and ethical implications, have not been sufficiently explored in previous research. This study employed a qualitative phenomenological approach, utilizing Interpretative Phenomenological Analysis (IPA), to examine the experiences of ten final-year EFL students who actively use AI tools for academic writing. Through semi-structured interviews, the research identified three major themes: reduced technical stress, heightened dependency on AI tools, and ethical concerns about authorship. The findings suggest that while AI tools act as cognitive scaffolds, aiding students by improving fluency and reducing the burden of technical writing tasks, they also introduce psychological challenges. These challenges include increased dependency on the tools and concerns about the authenticity of their work, raising questions about academic integrity and self-efficacy. This study sheds light on the complex relationship between AI as an assistive technology and its potential to cause writing anxiety and dependency. By emphasizing both the positive and negative psychological impacts of AI, the study contributes to the growing body of literature on AI in education. It calls for the development of pedagogical frameworks that balance AI literacy, emotional resilience, and ethical considerations to ensure responsible and effective use of AI in academic contexts.

This study investigates the effectiveness of virtual debate platforms in enhancing English as a Second Language (ESL) learners’ critical thinking, speaking fluency, and argumentation skills. The research was conducted using a quasi-experimental design with intermediate-level ESL students as participants. Data were collected through critical thinking tests, speaking fluency rubrics, and argumentation rubrics, complemented by qualitative analysis of recorded debates. The results indicate significant improvements in students’ critical thinking abilities, fluency in spoken English, and the quality of their arguments, including structure, relevance of evidence, and coherence. Furthermore, virtual debates fostered higher levels of student engagement compared to traditional classroom discussions. These findings underscore the pedagogical potential of integrating technology-based debate activities into ESL instruction, providing interactive and collaborative learning opportunities that address the limitations of conventional teaching methods. The study concludes with recommendations for incorporating virtual debates into ESL curricula and suggests future research on the use of emerging technologies such as artificial intelligence (AI) and virtual reality (VR) to further enhance language learning experiences.

Number recognition is a critical skill in early education, laying the foundation for digital literacy and mathematical understanding. However, traditional methods of teaching number recognition often lack the interactivity and engagement necessary for effective learning, particularly for young learners. This study proposes the development of a deep learning-based Android application aimed at enhancing the number recognition process by providing an interactive and visual learning experience. The application utilizes a Convolutional Neural Network (CNN), a type of deep learning model, to recognize handwritten numbers, offering users an innovative and engaging way to learn and practice number recognition.In the proposed application, users can draw numbers on their devices, and the system will immediately provide feedback regarding the accuracy of the drawn numbers. The CNN model will be trained on a comprehensive dataset of handwritten digits to ensure high accuracy in recognition. This real-time feedback loop is designed to help users learn the correct form of numbers while also introducing the foundational concepts of deep learning. The main objective of this application is to provide an accessible, interactive platform for learning number recognition, especially for novice learners who may be unfamiliar with basic concepts in machine learning and digital literacy. By integrating deep learning technology, the application not only supports the learning of number recognition but also serves as an introduction to artificial intelligence (AI) concepts in a practical, easy-to-understand format. Furthermore, the application is designed to be user-friendly, ensuring that it is suitable for a wide range of learners, including children and beginners. The application aims to combine the fundamental principles of deep learning with a practical, hands-on learning experience, fostering a deeper understanding of both number concepts and the potential of AI in everyday life.

Education is a conscious and structured effort aimed at creating an environment and process that actively facilitates learners in developing their full potential. This includes nurturing their spiritual and moral values, self-control, intelligence, strong character, and essential life skills required for personal development and meaningful contributions to society, the nation, and the global community. At its core, education serves to empower students to realize and utilize their capabilities for future life challenges. It acts as a foundational medium through which younger generations acquire essential life skills, enabling them to integrate effectively into society. Moreover, education plays a pivotal role not only in the personal growth of individuals but also in the advancement of a nation. High-quality education is defined by its capacity to equip students with the competence to confront and resolve real-world problems. This notion becomes increasingly critical as learners transition from academic settings to the workforce and community life, where they are expected to apply their knowledge and skills practically. However, the success or failure of educational outcomes is largely determined by the curriculum. A well-designed curriculum should cultivate critical awareness and empower students to navigate complex social and professional environments. It should also promote creativity, critical thinking, and collaboration, which are essential skills in today’s rapidly changing world. Furthermore, education should not be viewed merely as a means to acquire knowledge but as a holistic process that fosters emotional intelligence and social responsibility. By integrating various disciplines and encouraging interdisciplinary learning, education can help students develop a broader perspective on global issues, such as climate change, social justice, and economic inequality. In addition, the role of educators is crucial in this process.  

The digital era has fundamentally transformed the educational paradigm. This research examines the transformation of teachers' roles in addressing digital technology developments, particularly artificial intelligence (AI) and social media. The purpose of this study is to analyze the importance of technology literacy and digital ethics for teachers in creating adaptive and relevant learning environments. A literature review methodology is employed to identify key components required for teachers to transform into adaptive educators. The findings indicate that teachers need to develop five core competencies: understanding digital tools, critical information evaluation, interactive learning design, facilitating independent learners, and implementing technology ethics. This research contributes to developing a framework for adaptive teachers capable of utilizing technology as an opportunity rather than a threat in the educational process.

Artificial Intelligence (AI) can be a transformational tool in Christian Religious Education in the digital era. Technological advancements bring significant changes to the way we learn and teach, including religious education, which demands innovative methods to remain relevant to the younger generation increasingly connected to technology. AI offers various opportunities to enrich the learning experience and deepen the understanding of Christian values through a more personal and interactive approach. This article discusses several AI applications in Christian religious education, such as virtual assistants for spiritual guidance, in-depth Bible text analysis, and adaptive learning platforms that can tailor materials to the needs of learners. With AI technology, Christian religious education can provide more interactive and responsive modules, allowing learners to delve into religious teachings both individually and in groups. Additionally, the use of AI in analyzing learning behavior allows for more effective curriculum personalization according to the spiritual needs of each individual. This approach can address the challenge of maintaining the relevance of religious values amidst the rapid influx of digital information. This article also examines the potential of AI in aiding faith development, for example through spiritual reflection applications tailored to the user's spiritual growth. This transformation is expected to prepare a generation of Christians who are not only technologically savvy but also spiritually strong, and empowered to face moral and ethical challenges in the future. Thus, AI-based Christian Religious Education can be a pathway to building a relevant and dynamic spiritual future in the digital era.

Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined in the previous research, despite the significant advancements in this area of research. Furthermore, previous research has rarely synthesized how these technical components help students choose appropriate courses and careers. This systematic review was carried out to investigate the current state of machine learning-based course and career recommender systems, focusing on key elements, such as primary data sources, feature engineering methods, algorithms, optimization techniques, evaluation metrics, and the environments where the existing course recommendation models are deployed. The PRISMA method for conducting a systematic review was used to choose studies that met the requirements for inclusion and exclusion. The study findings show significant reliance on interpretable and traditional machine learning algorithms, such as K-Nearest Neighbor and Random Forest, to develop recommender models. Feature engineering remains basic, as most studies rely on normalization, while optimization processes are often underreported. Also, evaluation metrics varied widely, impeding comparability, while most of the recommender models are deployed in an e-learning environment, leaving the traditional learning environment underrepresented. Furthermore, the study findings identified issues including data sparsity and diversity, data security and privacy, and changes in learner preferences that may have an impact on the performance of recommender systems while recommending further studies to make use of standardized optimization methods, and automated domain-informed feature engineering frameworks, benchmark and annotated datasets in developing models the gives priority to learners’ success and educational relevance.

Education plays an important role in the development of human resources, promoting social capabilities, and the development of individuals linking them to society and the environment. Islamic education, in particular, aims to instil spiritual and ethical values and develop learners' scientific knowledge.  This study explored the effect of the Ibrah Mauidzah Qur'anic Storytelling Method on students' spiritual intelligence and learning activities at MTsN 1 Agam. The correlational quantitative research method was used to test the research hypothesis. the type of research used is correlational. It is a study that looks for the relationship between the independent variable and the dependent variable with a sample of 35 students obtained using the accental sampling technique. The results of the analysis show that the Ibrah Mauidzah Method has a significant effect on increasing students' spiritual intelligence and learning activities. The tcount values for spiritual intelligence and learning activity were 3.076 and 3.779 respectively, both greater than the ttable of 2.034, with a p-value <0.05. These findings indicate that the method is effective in improving understanding and appreciation of religious values, as well as increasing student engagement in the learning process. This research confirms the importance of integrating moral and spiritual approaches in education to achieve a balance of students' intellectual and spiritual development.