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Journal articles on the topic 'Goal-Oriented AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Perera, Ravindu, Claire Gendron, Cecilia Delgado, et al. "AI Assistants in the Workplace: Goal-Oriented Recommendations Using LLM." Avances en Interacción Humano-Computadora 9, no. 1 (2024): 16–20. https://doi.org/10.47756/aihc.y9i1.140.

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Self-quantifying technology enables users to evaluate their performance and define strategies for improvement. Workplace technology assists users in identifying activities and patterns that facilitate task completion. Software that measures workplace signals requires access to information from the user interface and peripherals. Current software solutions that track computer activity lack goal orientation and do not share raw data that could aid users and researchers in analyzing behavioral patterns at work. This paper presents Wellbot, an intelligent AI assistant capable of tracking workers'

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Chromiak, Michał. "Heterogeneous Indexing Register for Object Database." Annales Universitatis Mariae Curie-Sklodowska, sectio AI – Informatica 16, no. 2 (2017): 7. http://dx.doi.org/10.17951/ai.2016.16.2.7.

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<p>Even though the object oriented persistent stores has not gained large commercial adaptation rate, it still is an interesting research field in many aspects including the data integration. Persistent data integration is a very challenging goal in modern computer systems. This paper presents a proposal for application of effective indexing integration scheme for distributed and heterogeneous data environment using an object database as the central store.</p>

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Zhang, Lu. "Digital Circuit Course Development Based On AI." International Journal of Education and Social Development 3, no. 1 (2025): 100–102. https://doi.org/10.54097/e7ybbg51.

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Artificial Intelligence (AI) is presenting unprecedented opportunities and challenges to higher education, making AI-driven curriculum reform imperative. By constructing a knowledge graph for the digital circuit course, this approach enables students to engage in goal-oriented learning processes through understanding the framework of key concepts, while utilizing assessment questions linked to specific knowledge points for self-evaluation. This AI-powered transformation can significantly enhance students' mastery of the course content.

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Kabashkin, Igor, Olga Zervina, and Boriss Misnevs. "AI Narrative Modeling: How Machines’ Intelligence Reproduces Archetypal Storytelling." Information 16, no. 4 (2025): 319. https://doi.org/10.3390/info16040319.

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This study examines how large language models reproduce Jungian archetypal patterns in storytelling. Results indicate that AI excels at replicating structured, goal-oriented archetypes (Hero, Wise Old Man), but it struggles with psychologically complex and ambiguous narratives (Shadow, Trickster). Expert evaluations confirmed these patterns, rating AI higher on narrative coherence and thematic alignment than on emotional depth and creative originality.

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Jadhav, Aishwarya, Jeffery Cao, Abhishree Shetty, et al. "AI Guide Dog: Egocentric Path Prediction on Smartphone." Proceedings of the AAAI Symposium Series 5, no. 1 (2025): 220–27. https://doi.org/10.1609/aaaiss.v5i1.35591.

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This paper presents AI Guide Dog (AIGD), a lightweight egocentric (first-person) navigation system for visually impaired users, designed for real-time deployment on smartphones. AIGD employs a vision-only multi-label classification approach to predict directional commands, ensuring safe navigation across diverse environments. We introduce a novel technique for goal-based outdoor navigation by integrating GPS signals and high-level directions, while also handling uncertain multi-path predictions for destination-free indoor navigation. As the first navigation assistance system to handle both goa

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Shao, Tiejun, and Jianshe Zhou. "Brief Overview of Intelligent Education." Journal of Contemporary Educational Research 5, no. 8 (2021): 187–92. http://dx.doi.org/10.26689/jcer.v5i8.2460.

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Intelligent Education uses AI technology as a means in the education ecology to promote the automation and intelligence of education and teaching. It reshapes the education ecology, adding AI things to the traditional education ecology that dominated by teachers and students. Although IE technology is widely used, there is little discussion about a comprehensive overview of IE. The goal and connotation of IE is discussed. Meanwhile, the emotional, ethical, AI technology as well as supervision and management perspectives in IE are discussed too. The core goal of IE is putted forward that is hum

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Lin, Jessy, Nicholas Tomlin, Jacob Andreas, and Jason Eisner. "Decision-Oriented Dialogue for Human-AI Collaboration." Transactions of the Association for Computational Linguistics 12 (2024): 892–911. http://dx.doi.org/10.1162/tacl_a_00679.

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Abstract We describe a class of tasks called decision-oriented dialogues, in which AI assistants such as large language models (LMs) must collaborate with one or more humans via natural language to help them make complex decisions. We formalize three domains in which users face everyday decisions: (1) choosing an assignment of reviewers to conference papers, (2) planning a multi-step itinerary in a city, and (3) negotiating travel plans for a group of friends. In each of these settings, AI assistants and users have disparate abilities that they must combine to arrive at the best decision: Assi

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Palmer, Derek, Yifan Zhu, Kenneth Lai, et al. "Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29676–78. https://doi.org/10.1609/aaai.v39i28.35364.

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Our goal is to develop an AI Partner that can provide support for group problem solving and social dynamics. In multi-party working group environments, multimodal analytics is crucial for identifying non-verbal interactions of group members. In conjunction with their verbal participation, this creates an holistic understanding of collaboration and engagement that provides necessary context for the AI Partner. In this demo, we illustrate our present capabilities at detecting and tracking nonverbal behavior in student task-oriented interactions in the classroom, and the implications for tracking

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Hong, Yoosung, Tianhao Yan, and Jinseok Seo. "GOBT: A Synergistic Approach to Game AI Using Goal-Oriented and Utility-Based Planning in Behavior Trees." Journal of Multimedia Information System 10, no. 4 (2023): 321–32. http://dx.doi.org/10.33851/jmis.2023.10.4.321.

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Boeda, Gautier. "Multi-Agent Cooperation in Games with Goal Oriented Action Planner: Use Case in WONDER Prototype Project." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 17, no. 1 (2021): 204–7. http://dx.doi.org/10.1609/aiide.v17i1.18909.

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Multi-agent cooperation systems often rely on an external commander-like entity that will plan for all the agents it manages. When it comes to games development, this entity can be hidden from the player, which makes the player believe the characters are actually taking their own decisions. However, it has limitations. We believe that to achieve truly believable character-interactions between non-playable characters, real(non-scripted) communication between the agents is the key. We will introduce our multi-agent cooperation system where each AI-agent thinks for itself and communicates with th

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Coitinho, Denis, and André Luiz Olivier da Silva. "Algorithmic injustice and human rights." Filosofia Unisinos 25, no. 1 (2024): 1–17. http://dx.doi.org/10.4013/fsu.2024.251.09.

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The central goal of this paper is to investigate the injustices that can occur with the use of new technologies, especially Artificial Intelligence (AI), focusing on the issues concerning respect to human rights and the protection of victims and the most vulnerable. We aim to study the impacts of AI in daily life and the possible threats to human dignity imposed by it, such as discrimination based on prejudices, identity-oriented stereotypes, and unequal access to health services. We characterize such cases as algorithmic injustices. In the final part of the text, we propose some strategies to

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Diantoro, Karno, Dedeh Supriyanti, Ardi, and Yulia Putri Ayu Sanjaya. "Implications of Distributed Energy Development in Blockchain-Based Institutional Environment." Aptisi Transactions on Technopreneurship (ATT) 5, no. 2sp (2023): 209–20. http://dx.doi.org/10.34306/att.v5i2sp.343.

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This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enric

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Aliyah, Chandra Lukita, Greian April Pangilinan, Mochamad Heru Riza Chakim, and Dimas Bagus Saputra. "Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study." Aptisi Transactions on Technopreneurship (ATT) 5, no. 2sp (2023): 135–45. http://dx.doi.org/10.34306/att.v5i2sp.332.

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This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enric

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Hassan, Saad, Syeda Mah Noor Asad, Motahhare Eslami, Nicholas Mattei, Aron Culotta, and John Zimmerman. "PACE: Participatory AI for Community Engagement." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 12 (October 14, 2024): 151–54. http://dx.doi.org/10.1609/hcomp.v12i1.31610.

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Public sector leverages artificial intelligence (AI) to enhance the efficiency, transparency, and accountability of civic operations and public services. This includes initiatives such as predictive waste management, facial recognition for identification, and advanced tools in the criminal justice system. While public-sector AI can improve efficiency and accountability, it also has the potential to perpetuate biases, infringe on privacy, and marginalize vulnerable groups. Responsible AI (RAI) research aims to address these concerns by focusing on fairness and equity through participatory AI. W

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Sovhira, Svitlana, Nataliia Dushechkina, Alona Balokha, Nataliia Borysenko, and Oleg Ieresko. "Ecologization of education in the innovative space of higher education." Revista Amazonia Investiga 12, no. 67 (2023): 115–26. http://dx.doi.org/10.34069/ai/2023.67.07.11.

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The new content of the ecologization of education is considered, the goal is formulated and the possibilities of ecologization of education in the innovative space of higher education are shown. Definitions are interpreted: ecologization, ecologization of education in the innovative space of higher education; the main goals of ecologization of education and the main components and most important tasks of ecologization of education in the innovative space of higher education are highlighted (formation of ecological culture for all segments of the population; training of ecological specialists f

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Hurman, Olena, Dmytro Kostenko, Nataliia Runcheva, Nadiia Bocharova, and Olha Khytrova. "Corporate management in the economic sphere under martial law: a response to the challenges of the times." Revista Amazonia Investiga 12, no. 65 (2023): 246–55. http://dx.doi.org/10.34069/ai/2023.65.05.23.

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The relevance of the research lies in the fact that at the current stage in Ukraine, a national concept of corporate governance is being formed, however, this process is complicated by political, social, and economic restrictions provided by the martial law introduced in our country. The purpose of the research is to study the structure, features, and characteristics of corporate management strategies. In accordance with the set goal, the task of the research is to analyze the main trends in the development of corporate management at the current stage, to highlight their features. When conduct

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Bilynska, Khrystyna, Оlena Markova, Natalia Chornobryva, Yevhen Kuznietsov, and Wu Mingli. "The power of digitalization in education: improving learning with interactive multimedia content." Revista Amazonia Investiga 13, no. 76 (2024): 188–201. http://dx.doi.org/10.34069/ai/2024.76.04.15.

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The article highlights the advantages of creating multimedia content in education based on digitization. Programs for creating multimedia content in education on the basis of digitalization of multimedia were analyzed and the stages of working with them were considered, which were grouped by main categories. The most important characteristics of interactive multimedia are revealed. The importance of media competence and media literacy of the teacher and student has been proven. The necessity of creating multimedia content of a cloud-oriented educational environment in our time is shown. To ach

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Qin, Jian. "Knowledge Organization and Representation under the AI Lens." Journal of Data and Information Science 5, no. 1 (2020): 3–17. http://dx.doi.org/10.2478/jdis-2020-0002.

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AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differe

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Lee, Chaewook, and Namin Shin. "A Case Study on Middle School Students' Learning Experience in Free English Conversation with Generative AI Chatbots." Korean Association For Learner-Centered Curriculum And Instruction 25, no. 12 (2025): 1–19. https://doi.org/10.22251/jlcci.2025.25.12.1.

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Objectives This study explored the pedagogical potential of generative, voice-enabled, conversational, and goal-oriented chatbots for English teaching and learning by analyzing the free conversation experiences between a generative AI chatbot and middle school students. Methods Video-recorded free conversations between a generative English-speaking chatbot developed by Company Y and three middle school students were transcribed and analyzed. Based on the research questions, both qualitative and quantitative analyses were conducted, including text analysis, readability assessment, lexical analy

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Faqihi, Ali, and Shah Jahan Miah. "Artificial Intelligence-Driven Talent Management System: Exploring the Risks and Options for Constructing a Theoretical Foundation." Journal of Risk and Financial Management 16, no. 1 (2023): 31. http://dx.doi.org/10.3390/jrfm16010031.

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AI (Artificial intelligence) has the potential to improve strategies to talent management by implementing advanced automated systems for workforce management. AI can make this improvement a reality. The objective of this study is to discover the new requirements for generating a new AI-oriented artefact so that the issues pertaining to talent management are effectively addressed. The design artefact is an intelligent Human Resource Management (HRM) automation solution for talent career management primarily based on a talent intelligent module. Improving connections between professional assessm

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Mostova, Iryna, Yevheniia Yanyna-Ledovska, and Nataliia Semenova. "An analysis of a choreographic work: fundamental and innovative methodology." Revista Amazonia Investiga 11, no. 49 (2022): 277–84. http://dx.doi.org/10.34069/ai/2022.49.01.30.

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The article analyzes the methodology of professional critical analysis of dance art work and outlines the prospects of development of this vector of choreological activities. The purpose of the article is a goal-oriented description of methods of professional analysis of choreographic works in the context of habit training of choreographers’ critical thinking. The methods used are as follows: method of synthesis, systematic approach, method of structural analysis, method of analysis of musical content, analysis of the specific character of audience perception, analysis of semiotic components o

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Cingillioglu, Ilker, Uri Gal, and Artem Prokhorov. "Running a double-blind true social experiment with a goal oriented adaptive AI-based conversational agent in educational research." International Journal of Educational Research 124 (2024): 102323. http://dx.doi.org/10.1016/j.ijer.2024.102323.

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Aperstein, Yehudit, Yuval Cohen, and Alexander Apartsin. "Generative AI-Based Platform for Deliberate Teaching Practice: A Review and a Suggested Framework." Education Sciences 15, no. 4 (2025): 405. https://doi.org/10.3390/educsci15040405.

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This paper begins with a comprehensive review of the deliberate teaching practice literature related to generative AI training platforms. It then introduces a conceptual framework for a generative AI-powered system designed to simulate dynamic classroom environments, allowing teachers to engage in repeated, goal-oriented practice sessions. Leveraging recent advances in large language models (LLMs) and multiagent systems, the platform features virtual student agents configured to demonstrate varied learning styles, prior knowledge, and behavioral traits. In parallel, mentor agents—built upon th

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Schmitt, Anuschka, Naim Zierau, Andreas Janson, and Jan Marco Leimeister. "The Role of AI-Based Artifacts’ Voice Capabilities for Agency Attribution." Journal of the Association for Information Systems 24, no. 4 (2023): 980–1004. http://dx.doi.org/10.17705/1jais.00827.

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The pervasiveness and increasing sophistication of artificial intelligence (AI)-based artifacts within private, organizational, and social realms are changing how humans interact with machines. Theorizing about the way that humans perceive AI-based artifacts is, for example, crucial to understanding why and to what extent humans deem these artifacts to be competent for decision-making but has traditionally taken a modality-agnostic view. In this paper, we theorize about a particular case of interaction, namely that of voice-based interaction with AI-based artifacts. We argue that the capabilit

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Mandala, Vishwanadham. "Transforming Car Manufacturing: How Generative AI and Machine Learning Are Revolutionizing Production." Global Research and Development Journals 7, no. 11 (2022): 6–17. http://dx.doi.org/10.70179/grdjev09i100002.

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The Daimler AG trains Generative Adversarial Network (GAN) to grow the data-confirmed neural networks. The ultimate goal is a production-oriented application that enables faster manufacturing, improved quality, and a more efficient use of resources through a higher level of automation. The success of deep learning-based methods, particularly Generative Adversarial Networks (GANs), has led to new opportunities in generative AI in the manufacturing domain. In a proof of concept, we use a face generator as a metaphor for the generation of complex workpiece surfaces. The GAN transforms a low-resol

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Schwab, Patrick, and Helmut Hlavacs. "Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 1 (2021): 184–90. http://dx.doi.org/10.1609/aiide.v11i1.12795.

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Hand-coded finite-state machines and behavior trees are the go-to techniques for artificial intelligence (AI) developers that want full control over their character's bearing. However, manually crafting behaviors for computer-controlled agents is a tedious and parameter-dependent task. From a high-level view, the process of designing agent AI by hand usually starts with the determination of a suitable set of action sequences. Once the AI developer has identified these sequences he merges them into a complete behavior by specifying appropriate transitions between them. Automated techniques, suc

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Kansizoglou, Ioannis, Christos Kokkotis, Theodoros Stampoulis, et al. "Artificial Intelligence and the Human–Computer Interaction in Occupational Therapy: A Scoping Review." Algorithms 18, no. 5 (2025): 276. https://doi.org/10.3390/a18050276.

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Occupational therapy (OT) is a client-centered health profession focused on enhancing individuals’ ability to perform meaningful activities and daily tasks, particularly for those recovering from injury, illness, or disability. As a core component of rehabilitation, it promotes independence, well-being, and quality of life through personalized, goal-oriented interventions. Identifying and measuring the role of artificial intelligence (AI) in the human–computer interaction (HCI) within OT is critical for improving therapeutic outcomes and patient engagement. Despite AI’s growing significance, t

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Soni, Avni. "Cutting-Edge Methods in Visage Expression Recognition and Ocular Tracking for Analyzing Remote Video Interviews." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem37620.

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This paper focuses to augment an in the flesh image and video processor, capacitated with an artificial intelligence (AI) arbitrator that can speculate a job interviewee’s behavioral adeptness according to the facial dictions or expressions. We put forward a sentiment analysis model using machine learning and CNN for the reinforcement of decision-making in the job interview process. This is bought up by histogram of oriented gradients and support vector machine (HOG-SVM) with the addition of convolutional neural network (CNN) recognition in real-time video recorded interviews. The goal of appl

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Ru, Kyoungsuk, and Jooheui Lee. "In the AI Era, Current Status and Implications of Character Education for University Students: A Case Analysis of Character Education in 2 Universities." Korean Association for the Study of Religious Education 12, no. 30 (2024): 139–63. https://doi.org/10.58601/kjre.2024.12.30.08.

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[Objective] The purpose of this study is to examine the current status and achievement of character education through the analysis of cases of character education at two universities, and then draw implications for character education that can be applied to university students in the AI era. [Contents] The subjects of case analysis of character education are University A and University B located in the metropolitan area. Korea's character education policy aims at an individual’s moral and social responsibility and holistic growth in accordance with the demands of the times. University A and Un

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Trach, Yuliia. "Discourse Around the Ethics of Artificial Intelligence: Features of Formation and Institutionalization." Digital Platform: Information Technologies in Sociocultural Sphere 7, no. 2 (2024): 299–310. https://doi.org/10.31866/2617-796x.7.2.2024.317738.

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The purpose of the article is to identify the features of the formation of the discourse around the ethics of artificial intelligence, as well as to characterize the main legal acts that set out its key principles. Research methods. The methods of analysis and synthesis, generalization and abstraction were applied, which made it possible to achieve the set goal. The scientific novelty lies in identifying the features of the public (determined by the strategies and limitations characteristic of the media arena) and academic (long, deep and reasoned discussions of researchers) discourses around

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Brachman, Michelle, Christopher Bygrave, Tathagata Chakraborti, et al. "A Goal-Driven Natural Language Interface for Creating Application Integration Workflows." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 13155–57. http://dx.doi.org/10.1609/aaai.v36i11.21712.

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Web applications and services are increasingly important in a distributed internet filled with diverse cloud services and applications, each of which enable the completion of narrowly defined tasks. Given the explosion in the scale and diversity of such services, their composition and integration for achieving complex user goals remains a challenging task for end-users and requires a lot of development effort when specified by hand. We present a demonstration of the Goal Oriented Flow Assistant (GOFA) system, which provides a natural language solution to generate workflows for application inte

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Dr. J. M. Patil, Eisha Nikam, Samruddhi Katole, Sanika Dose, and Vaishnavi Avadhut. "Eloqify: Intelligent Interview Companion." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 786–91. https://doi.org/10.47392/irjaeh.2025.0110.

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In today’s highly competitive job market, securing a technical role requires rigorous preparation and real-time feedback. Eloqify is an AI-driven mock interview platform exclusively designed for technical interviews, helping candidates refine their core skills through interactive and unbiased assessments. Our platform leverages Google Gemini AI to dynamically generate technical interview questions based on resume parsing, ensuring that candidates practice with job-specific, industry-relevant questions. The resume parsing, powered by Python-based processing, extracts key skills and experiences,

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Procaccia, Ariel. "Can Approximation Circumvent Gibbard-Satterthwaite?" Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 836–41. http://dx.doi.org/10.1609/aaai.v24i1.7619.

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The Gibbard-Satterthwaite Theorem asserts that any reasonable voting rule cannot be strategyproof. A large body of research in AI deals with circumventing this theorem via computational considerations; the goal is to design voting rules that are computationally hard, in the worst-case, to manipulate. However, recent work indicates that the prominent voting rules are usually easy to manipulate. In this paper, we suggest a new CS-oriented approach to circumventing Gibbard-Satterthwaite, using randomization and approximation. Specifically, we wish to design strategyproof randomized voting rules t

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Efimov, Albert R. "Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics." Russian Journal of Philosophical Sciences 62, no. 7 (2019): 73–95. http://dx.doi.org/10.30727/0235-1188-2019-62-7-73-95.

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The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic nature of this influence. The author cons

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Mishchenko, E. V., M. I. Yarantseva, D. N. Verzhykovskyi, and S. A. Ghazaryan. "Methods for assessing the economic efficiency of implementing AI–based chatbots for customer experience management." Entrepreneur’s Guide 18, no. 2 (2025): 22–31. https://doi.org/10.24182/2073-9885-2025-18-2-22-31.

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This study focuses on identifying the place, role, and specific features of enhancing the economic efficiency of implementing and using chatbots in customer experience management. The purpose of the study is to summarize the theoretical aspects of chatbot use in managing customer experience and to analyze the methods for assessing the economic efficiency of investments in such technologies. The paper presents the concept and characteristics of chatbots and clarifies the variety of chatbot types available to businesses, highlighting the relevance of developing efficiency assessment methods. The

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Sarat Piridi. "Demystifying copilot agents and computer use in low-code automation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2884–93. https://doi.org/10.30574/wjaets.2025.15.2.0837.

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Copilot agents and computer use capabilities offer transformative potential in low-code automation environments by addressing longstanding challenges in traditional automation approaches. Historical limitations include brittle decision trees that collapse when business logic changes and RPA scripts that fail with minor UI updates, creating substantial technical debt and operational inefficiencies across industries. Microsoft's innovative solutions tackle these constraints by shifting from explicit instruction sets to goal-based directives, enabling systems to understand intent rather than foll

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Kacer, Emine Ozdemir. "Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis." PLOS ONE 20, no. 3 (2025): e0319782. https://doi.org/10.1371/journal.pone.0319782.

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Background In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-related social media applications and websites to seek breastfeeding-related information. At the same time, AI-based chatbots-such as ChatGPT, Gemini, and Copilot-have become increasingly prevalent on these platforms (or on dedicated websites), providing automated, user-oriented breastfeeding guidance. Aim The goal of our study is to understand the relative performance of three AI-based chatbots: ChatGPT, Gemini, and Copilot, by evaluating the quality, reliability, readability, and similarity of

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Vamsi Krishna Kumar Karanam. "Intelligent Automation for Streamlining Prior Authorization Workflows Integrated with EHRs Using Agentic AI." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 01–08. https://doi.org/10.32996/jcsts.2025.7.5.1.

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Prior Authorization (PA) processes represent a significant administrative burden in healthcare systems worldwide, contributing to treatment delays, clinician dissatisfaction, and increased operational costs. While traditional automation approaches have addressed discrete components of the PA workflow, they lack the adaptability and autonomy necessary for comprehensive optimization. This article introduces a framework for implementing Agentic Artificial Intelligence (AI) to transform PA workflows through seamless Electronic Health Record (EHR) integration. The evolution of authorization automat

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Keshav Agrawal. "The Future of AI in Digital Search: Towards a Fully Conversational Experience." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 298–306. https://doi.org/10.32996/jcsts.2025.7.4.34.

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The digital search landscape is fundamentally transforming from traditional keyword-based interfaces to fully conversational experiences powered by artificial intelligence. This transformation is driven by advances in large language models, growing user expectations for natural interaction, and the increasing inadequacy of static query-response paradigms. As a result, search is evolving from a tool for retrieving links into an intelligent partner for dynamic, goal-oriented dialogue. This evolution represents more than a mere addition of chat capabilities to existing search engines; it marks a

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Xiaolin Guo. "Intelligent Internet of Things and Privacy Protection Technology for IPE Data Analysis." Journal of Electrical Systems 20, no. 7s (2024): 75–83. http://dx.doi.org/10.52783/jes.3250.

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In the process of shaping the personality and forming the ideal and belief of innovative talents, education plays a unique role that cannot be replaced by other forms of education. The application of an intelligent Internet of Things has been well developed in college teaching. AI is the reality of technological development in the training of higher talents in the new era, and it is the realistic demand for IPE in the training of higher talents, which requires political and ideological empowerment. Positioning the role of "educational assistant" in AI and then defining it as a "quasi-subjectiv

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Capecchi, Irene, Tommaso Borghini, Michael Bellotti, and Iacopo Bernetti. "Enhancing Education Outcomes Integrating Augmented Reality and Artificial Intelligence for Education in Nutrition and Food Sustainability." Sustainability 17, no. 5 (2025): 2113. https://doi.org/10.3390/su17052113.

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Background/Objectives: The integration of Augmented Reality (AR) and Artificial Intelligence (AI) in educational applications presents an opportunity to enhance learning outcomes in young users. This study focuses on ARFood, a serious game designed to teach Generation Alpha about nutritional health and environmental sustainability. The objective is to evaluate and improve the effectiveness of the app’s AI-driven feedback mechanisms in achieving specific educational goals in these domains. Methods: ARFood features two AI-powered Non-Player Characters (NPCs), each programmed to evaluate virtual

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Sreedharan, Sarath, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni, and Subbarao Kambhampati. "– D3WA+ – A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning." Proceedings of the International Conference on Automated Planning and Scheduling 30 (June 1, 2020): 488–97. http://dx.doi.org/10.1609/icaps.v30i1.6744.

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Recently, the D3WA system was proposed as a paradigm shift in how complex goal-oriented dialogue agents can be specified by taking a declarative view of design. However, it turns out actual users of the system have a hard time evolving their mental model and grasping the imperative consequences of declarative design. In this paper, we adopt ideas from existing works in the field of Explainable AI Planning (XAIP) to provide guidance to the dialogue designer during the model acquisition process. We will highlight in the course of this discussion how the setting presents unique challenges to the

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Mohammed, Sedir, Lisa Ehrlinger, Hazar Harmouch, Felix Naumann, and Divesh Srivastava. "The Five Facets of Data Quality Assessment." ACM SIGMOD Record 54, no. 2 (2025): 18–27. https://doi.org/10.1145/3749116.3749120.

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Data-oriented applications, their users, and even the law require data of high quality. Research has divided the rather vague notion of data quality into various dimensions, such as accuracy, consistency, and reputation. To achieve the goal of high data quality, many tools and techniques exist to clean and otherwise improve data. Yet, systematic research on actually assessing data quality in its dimensions is largely absent, and with it, the ability to gauge the success of any data cleaning effort. We propose five facets as ingredients to assess data quality: data, source, system, task, and hu

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S M Rashidul Islam, Mohammad Didar Hossain, Md Imtiaz Faruk, Fatin Wahab Plabon, Udoy Sankar Saha, and Md. Ashraful Islam Albi. "A Systematic Review of Sustainable Engineering Management for Advancing Energy Access under SDG 7." Journal of Computer Science and Technology Studies 7, no. 6 (2025): 138–57. https://doi.org/10.32996/jcsts.2025.7.6.17.

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Sustainable Development Goal 7 (SDG 7) emphasizes the necessity of ensuring universal access to affordable, reliable, sustainable, and modern energy. As the global energy landscape undergoes transformative changes, engineering management plays a pivotal role in optimizing infrastructure, implementing cutting-edge technologies, and ensuring regulatory compliance to facilitate sustainable energy transitions. This paper presents a systematic review of sustainable engineering management strategies and their contributions to achieving SDG 7. It explores the intersection of engineering management, e

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Wale, Bantalem Derseh, and Yirgalem Fentie Kassahun. "The Transformative Power of AI Writing Technologies: Enhancing EFL Writing Instruction through the Integrative Use of Writerly and Google Docs." Human Behavior and Emerging Technologies 2024 (April 1, 2024): 1–15. http://dx.doi.org/10.1155/2024/9221377.

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AI technologies transform language instruction by offering feedback, support, and guidance to students, ultimately leading to a more effective and efficient learning experience. The present study investigated the impacts of integrating Writerly and Google Docs to enhance EFL writing instruction. It also assessed students’ perceptions towards using these AI technologies. The study employed a quasiexperimental pretest-posttest two-group design. It used a mixed-methods approach, utilizing tests, questionnaires, focus group discussions, and teacher diaries to gather data from a sample of 92 random

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Glukhovskii, Andrei S. "Distributed Moral Responsibility in the Field of Artificial Intelligence." Ethical Thought 24, no. 1 (2024): 129–43. http://dx.doi.org/10.21146/2074-4870-2024-24-1-129-143.

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The main goal of the article is to justify the optimality of Luciano Floridi’s concept of distributed morality for describing a model of the relationship of responsibility in complex human – AI systems. The high level of its autonomy in functioning does not correspond to the classical instrumentalist approach to technology, as it turns out to be capable of fundamentally uncontrollable actions in the process of performing the task assigned to it. For the same reason, the classical definition of moral responsibility does not adequately correspond to the actual situation in the field of artif

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Tokmakova, Yu V., and E. S. Saenko. "The use of corrective feedback from generative artificial intelligence in teaching a professional foreign language to students of an agricultural university." Tambov University Review. Series: Humanities 30, no. 1 (2025): 50–66. https://doi.org/10.20310/1810-0201-2025-30-1-50-66.

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Importance. The methodological potential of evaluative corrective feedback from the generative artificial intelligence (AI) means is beginning to be used by teachers in teaching learners and students written foreign language utterance. At the same time, the use of extracurricular practice by students of a non-linguistic university with tools and in order to receive corrective feedback in the subject-language integrated teaching of a professional foreign language has not been studied separately. The goal of the work is to develop the methodology stages for using corrective feedback from generat

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Francesc Wilhelmi, David G�ez, Paola Soto, et al. "Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANS." ITU Journal on Future and Evolving Technologies 2, no. 4 (2021): 67–79. http://dx.doi.org/10.52953/nbgs1213.

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With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and standardization organizations are progressing on the definition of mechanisms and procedures to address the increasing complexity of future 5G and beyond communications. In this context, the International Telecommunication Union (ITU) organized the First AI for 5G Challenge to bring industry and academia together to introduce and solve representative problems related to the application of Machine Learning (ML) to networks. In this paper, we present the results gathered from Problem Statement 13 (P

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Kashani, Seyed Ali, Alireza Soleimani, Ali Khosravi, and Mojtaba Mirsalim. "State-of-the-Art Research on Wireless Charging of Electric Vehicles Using Solar Energy." Energies 16, no. 1 (2022): 282. http://dx.doi.org/10.3390/en16010282.

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Within the past decade, since impediments in nonrenewable fuel sources and the contamination they cause, utilizing green energies, such as those that are sun-oriented, in tandem with electric vehicles, is a developing slant. Coordinating electric vehicle (EV) charging stations with sun-powered boards (PV) reduces the burden of EV charging on the control framework. This paper presents a state-of-the-art literature review on remote control transmission frameworks for charging the batteries of electric vehicles utilizing sun-based boards as a source of power generation. The goal of this research

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Grieves, Michael. "DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom." Knowledge 4, no. 2 (2024): 120–40. http://dx.doi.org/10.3390/knowledge4020007.

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This paper will discuss Data, Information, Knowledge, and Wisdom, which is commonly referred to as DIKW. The DIKW Pyramid Model is a hierarchical model that is often referenced in both academic and practitioner circles. This model will be discussed and shown to be faulty on several levels, including a lack of definitional agreement. A new DIKW framework with systems orientation will be proposed that focuses on what the DIKW elements do in the way humans think, not what they are by definition. Information as a replacement for wasted physical resources in goal-oriented tasks will be a central or

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