Error Correction and Adaptation in Conversational AI: A Review of Techniques and Applications in Chatbots

AI, Год журнала: 2024, Номер 5(2), С. 803 - 841

Опубликована: Июнь 4, 2024

This study explores the progress of chatbot technology, focusing on aspect error correction to enhance these smart conversational tools. Chatbots, powered by artificial intelligence (AI), are increasingly prevalent across industries such as customer service, healthcare, e-commerce, and education. Despite their use increasing complexity, chatbots prone errors like misunderstandings, inappropriate responses, factual inaccuracies. These issues can have an impact user satisfaction trust. research provides overview chatbots, conducts analysis they encounter, examines different approaches rectifying errors. include using data-driven feedback loops, involving humans in learning process, adjusting through methods reinforcement learning, supervised unsupervised semi-supervised meta-learning. Through real life examples case studies fields, we explore how strategies implemented. Looking ahead, challenges faced AI-powered including ethical considerations biases during implementation. Furthermore, transformative potential new technological advancements, explainable AI models, autonomous content generation algorithms (e.g., generative adversarial networks), quantum computing training. Our information for developers researchers looking improve capabilities, which be applied service support effectively address requirements.

Язык: Английский

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Well-Being Technologies and Positive Psychology Strategies for Training Metacognition, Emotional Intelligence and Motivation Meta-Skills in Clinical Populations: A Systematic Review

Psych, Год журнала: 2024, Номер 6(1), С. 305 - 344

Опубликована: Март 4, 2024

The holistic growth and psychological well-being of people with special needs disabilities remain high on the priority agenda for sustainable inclusive education. Digital technologies especially “smart technologies”, are ready to revolutionize mental health interventions by meeting trainees’ providing them more positive transformative mental, emotional, social experiences. Μeta-skills refer a set consciousness-raising competences that incorporate meta-cognitive, social–emotional, motivational attributes, allowing individuals intentionally achieve state optimal functioning. Although psychology considered promising intervention approaches, there is less knowledge regarding effectiveness such among disabilities, in crucial domain meta-skills development. Thus, current systematic review aims examine strategies as well synergy development metacognition, emotional intelligence, motivation populations training disabilities. PRISMA methodology was utilized answer research questions. A total forty-nine studies met inclusion criteria. results indicated improved wide range meta-skills, including self-regulation, control, behavioral inhibition self-awareness, intrapersonal skills, interpersonal adaptation, goal setting, self-compassion. Artificial intelligence tools, wearables, smart applications, immersive (virtual augmented reality), neurofeedback biofeedback technologies, digital games were found effectively assist programs. may provide feedback discussion about digitally-aided health.

Язык: Английский

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A Systematic Review of Serious Games in the Era of Artificial Intelligence, Immersive Technologies, the Metaverse, and Neurotechnologies: Transformation Through Meta-Skills Training

Electronics, Год журнала: 2025, Номер 14(4), С. 649 - 649

Опубликована: Фев. 7, 2025

Background: Serious games (SGs) are primarily aimed at promoting learning, skills training, and rehabilitation. Artificial intelligence, immersive technologies, the metaverse, neurotechnologies promise next revolution in gaming. Meta-skills considered “must-have” for thriving era of rapid change, complexity, innovation. Μeta-skills can be defined as a set higher-order that incorporate metacognitive, meta-emotional, meta-motivational attributes, enabling one to mindful, self-motivated, self-regulated, flexible different circumstances. Skillfulness, more specifically meta-skills development, is recognized predictor optimal performance along with mental emotional wellness. Nevertheless, there still limited knowledge about effectiveness integrating cutting-edge technologies serious games, especially field training. Objectives: The current systematic review aims collect synthesize evidence concerning advanced gaming development. Methods: Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) methodology was employed identify experimental studies conducted last 10 years. Four databases were employed: Web Science, PubMed, Scopus, Google Scholar. Results: Forty-nine selected. Promising outcomes identified AI-based SGs (i.e., gamified chatbots) they provided realistic, adaptive, personalized, interactive environments using natural language processing, player modeling, reinforcement GPT-based models, data analytics, assessment. Immersive including virtual reality, augmented mixed realistic simulations, environments, sensory engagement, making training experiences impactful. Non-invasive found encourage players’ by monitoring brain activity adapting gameplay states. Healthy participants (n = 29 studies) well diagnosed anxiety, neurodevelopmental disorders, cognitive impairments exhibited improvements wide range meta-skills, self-regulation, control, attention regulation, meta-memory skills, flexibility, self-reflection, self-evaluation. Players self-motivated an increased feeling self-confidence self-efficacy. They had accurate self-perception. At level, observed empathy, stress management skills. social awareness enhanced since could easily solve conflicts, communicate, work teams. led thinking critical thinking, problem-solving reasoning, decision-making ability, abstract thinking. Discussion: Special focus given potential benefits, possible risks, ethical concerns; future directions implications also discussed. results may have design implementation innovative skillfulness among populations needs.

Язык: Английский

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VR Gaming for Meta-Skills Training in Special Education: The Role of Metacognition, Motivations, and Emotional Intelligence

Education Sciences, Год журнала: 2023, Номер 13(7), С. 639 - 639

Опубликована: Июнь 22, 2023

Inclusion, equality, and well-being for all, especially people with special needs disabilities, is globally recognized as a priority. At the same time, there an urgent need to create digital training environments educational disabilities (SEND). Virtual reality (VR) gaming technologies have entered race at full speed skills training. Despite significant research on each of these technologies, still limited knowledge about effectiveness virtual games (VRGs) in targeted groups such those SEND. Thus, current systematic review paper aims investigate intervention strategy meta-skills among neurodevelopmental, cognitive disorders, learning difficulties. The PRISMA 2020 methodology was used respond objective questions. This study also emphasizes mediating role motivations, metacognition, emotional intelligence important assets development. database search generated 1100 records, 26 studies met inclusion criteria. concludes that VRGs potential support SEND terms raising motivation developing metacognitive skills, well needed inclusion, accomplishment, independent life, personal well-being. As observed, provided subjects positive experiences, allowing them internalize motivations and—with less effort—develop self-motivated, self-regulated, flexible behaviors.

Язык: Английский

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Transformation of Digital-Based School Culture: implications of change management on Virtual Learning Environment integration

Cogent Education, Год журнала: 2024, Номер 11(1)

Опубликована: Янв. 31, 2024

This research explored the change management of integrating a Virtual Learning Environment (VLE) from status quo to Digital-based School Culture (DSC). A qualitative approach with multi-case design was used conduct at three schools various backgrounds. The schools, located in Indonesia, were same developmental stage and had good practice VLE integration. Data collected through in-depth interviews 30 respondents, participant observation documentation also conducted on each case obtain comprehensive holistic data. results showed seven stages DSC transformation. These include teams, resource preparation methods, vision alignment, digital skills development, obstacles, short-term reviews, initiatives boost technology acceptability. transformation entailed developing modules, online blended learning, digitizing learning administration for improved decision-making. finding serves as valuable roadmap practices create systemic strategies pedagogical, technological, organizational systems while considering school conditions.

Язык: Английский

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Rueda de la Pedagogía para la Inteligencia Artificial: adaptación de la Rueda de Carrington

RIED Revista Iberoamericana de Educación a Distancia, Год журнала: 2023, Номер 27(1), С. 87 - 113

Опубликована: Сен. 21, 2023

La integración efectiva de la Inteligencia Artificial (IA) en educación es necesaria para aprovechar sus beneficios el proceso enseñanza-aprendizaje. Este artículo propone adaptación Rueda Pedagogía Carrington a una IA, con fin ofrecer un marco pedagógico integrar IA educación. metodología investigación utilizada se basa revisión y mapeo sistemático junto estudio bibliométrico del análisis co-ocurrencia términos identificar los clusters temáticos relevantes que respalden científicamente necesidad Rueda. nueva rueda atiende cuatro obtenidos (Integración mejorar educación, Uso tecnologías educativa enseñanza aprendizaje, Diseño e innovación pedagógica Educación Sostenible Ética) presenta anillos concéntricos explican cómo incorporar gradualmente diferentes niveles cognitivos (Taxonomía Bloom) tecnológica (Modelo SAMR) ambos adaptados ejemplos herramientas aplicaciones. Además, incluye nivel Reflexivo-Metacognitivo aborda ética responsabilidad uso IA. En conclusión, adaptada opción viable eficacia eficiencia condición docentes participen planificación ejecución aprendizaje garantizar su éxito. Cabe mencionar importancia mantener actualizada debido aparición constante nuevas

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Unleashing IT Innovation in Education Based on Meta Learning Approach in English Language Classroom

Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Год журнала: 2025, Номер unknown, С. 137 - 150

Опубликована: Янв. 1, 2025

Язык: Английский

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Advancing ADHD education: autonomy, technology, and inclusive strategies

GSC Advanced Research and Reviews, Год журнала: 2024, Номер 18(3), С. 101 - 111

Опубликована: Март 9, 2024

This paper explores the integration of autonomy-supportive practices and technological interventions in primary education for students with Attention-Deficit/Hyperactivity Disorder (ADHD). It underscores significance creating educational environments that promote autonomy, leveraging cutting-edge technology to tailor learning experiences unique needs ADHD students. Through a systematic literature review, study highlights importance parental involvement interdisciplinary approaches enhancing academic achievement, social integration, emotional well-being presents collaborative framework combines technology, inclusive strategies, advocating policy support, community engagement, digital equity. The findings suggest holistic, adaptive model is essential addressing multifaceted challenges face, offering insights future research practice.

Язык: Английский

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A Siamese CNN-BiLSTM-based method for unbalance few-shot fault diagnosis of rolling bearings

Measurement and Control, Год журнала: 2023, Номер unknown

Опубликована: Ноя. 27, 2023

Small and imbalanced fault samples have a profound impact on the diagnostic performance of model in process locating quantifying rolling bearing damage aeroengines practice. Therefore, Siamese Convolutional Neural Network-Bidirectional Long Short-Term Memory (CNN-BiLSTM) was proposed this paper. Random selection cross combination methods were used to augment balance sample sizes at first. Then, two weight-sharing CNN-BiLSTM models for adaptive extraction distance measurement weak features. Finally, classification performed based feature distance. Model verified using simulated test data bearings. The results showed that could achieve an accuracy up 96.0% quantitative diagnosis 98.0% location diagnosis. This also capable solving made it possible transfer between different rotating speeds working conditions.

Язык: Английский

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“Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners”

Disability and Rehabilitation Assistive Technology, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Май 29, 2024

Purpose This study addresses the learning requirements of learners with difficulties by monitoring their experience in an Intelligent Tutoring System. Systems were developed to enrich teaching-learning process.

Язык: Английский

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