Published: Jan. 1, 2024
Language: Английский
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
11
European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Jan. 7, 2025
ABSTRACT Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and attracted the attention various educational stakeholders, leading to a growing number research on its integration into education. Hence, this systematic literature review examines impact integrating AI tools in education students' personal collaborative learning environments. Analysis 148 articles published between 2021 2024 indicates that Tools improve personalised assessments, communication engagement, scaffolding performance motivation. Additionally, they promote environment by providing peer‐learning opportunities, enhanced learner‐content interaction cooperative support. Indeed, strategies such as skills development, ethical use, academic integrity instructional content design. Acknowledged limitations include considerations, particularly privacy bias, which require ongoing attention. it is recommended create good balance AI‐mediated human environments, key area future exploration.
Language: Английский
Citations
1
Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 113 - 113
Published: Jan. 21, 2025
This study examines educators’ perceptions of artificial intelligence (AI) in educational settings, focusing on their familiarity with AI tools, integration into teaching practices, professional development needs, the influence institutional policies, and impacts mental health. Survey responses from 353 educators across various levels countries revealed that 92% respondents are familiar AI, utilizing it to enhance efficiency streamline administrative tasks. Notably, many reported students using tools like ChatGPT for assignments, prompting adaptations methods promote critical thinking reduce dependency. Some saw AI’s potential stress through automation but others raised concerns about increased anxiety social isolation reduced interpersonal interactions. highlights a gap leading some establish own guidelines, particularly matters such as data privacy plagiarism. Furthermore, identified significant need focused literacy ethical considerations. study’s findings suggest necessity longitudinal studies explore long-term effects outcomes health underscore importance incorporating student perspectives thorough understanding role education.
Language: Английский
Citations
1
Journal of Psychosocial Nursing and Mental Health Services, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12
Published: Feb. 24, 2025
Purpose To map out the current artificial intelligence (AI)–informed psychosocial interventions research landscape, with a focus on main themes, trends, and prospective future directions. Method A bibliometric analysis extracted articles that had been published between 2007 2024 from Web of Science database. Software used to process results were Bibliometrix VOSviewer. Results total 207 by 86 different sources obtained. publication high recurrence source was Journal Medical Internet Research . The United States showed activity in link strength, volume articles, citation frequency. Key themes identified machine learning , mental health cognitive-behavioral therapy personalization Emerging trends since 2020 show growing interest ChatGPT AI–driven therapy. Conclusion Bibliometric suggests increased application AI health. Integrating existing therapies development novel digital tools indicate for care is personalized innovative. advent advanced language models, such as ChatGPT, has opened new horizons AI–supported care. This preliminary provides foundational understanding landscape while identifying key areas further research. [ Psychosocial Nursing Mental Health Services, xx (xx), xx–xx.]
Language: Английский
Citations
0
Digital Health, Journal Year: 2025, Volume and Issue: 11
Published: Jan. 1, 2025
Mental health issues like insomnia, anxiety, and depression have increased significantly. Artificial intelligence (AI) has shown promise in diagnosing providing personalized treatment. This study aims to systematically review the application of AI addressing depression, identifying key research hotspots, forecasting future trends through bibliometric analysis. We analyzed a total 875 articles from Web Science Core Collection (2000-2024) using tools such as VOSviewer CiteSpace. These were used map trends, highlight international collaboration, examine contributions leading countries, institutions, authors field. The United States China lead field terms output collaborations. Key areas include "neural networks," "machine learning," "deep "human-robot interaction," particularly relation treatment approaches. However, challenges around data privacy, ethical concerns, interpretability models need be addressed. highlights growing role mental identifies priorities, improving quality, challenges, integrating more seamlessly into clinical practice. advancements will crucial global crisis.
Language: Английский
Citations
0
Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16
Published: March 12, 2025
Background Social media use among college students often leads to psychological dependence, resulting in a rising number of internet addictions. The link between social dependence and addiction is garnering increasing attention. Objective aim this study was analyze discuss the research trends hotspots on disorder by bibliometric methods. Methods Relevant studies online were retrieved from Web Science (WoS) database spanning years 2013 2024. We delineated distribution publications identify core productivity within field. VOSviewer software employed conduct network visualization analyses countries, authors, journals, keywords, aiding comprehensive understanding domain. Results From WoS database, we 302 publications, 167 included after screening. findings revealed: (1) steady increase citations, particularly accelerating 2019. (2) most productive journal Computers human behavior , area Psychology, author, institution, country are Professor Griffiths MD, Nottingham Trent University China, respectively. (3) Collaborative analysis indicated that there multiple groups field, yet connections countries authors remain relatively limited. (4) Co-citation journals revealed field interdisciplinary, primarily integrating psychology, psychiatry, behavioral science. (5) Keyword identified two major hotspots: relationship students’ addiction, mediating factors influencing addiction. mechanism an emerging frontier. Conclusion This outlines progress directions It offers examination latest frontiers trends, providing theoretical support for regulating electronic products implementing mental health interventions students.
Language: Английский
Citations
0
Перспективи та інновації науки, Journal Year: 2024, Volume and Issue: 4(38)
Published: April 24, 2024
ВПЛИВ ШТУЧНОГО ІНТЕЛЕКТУ НА СУЧАСНІ ПСИХОЛОГІЧНІ ДОСЛІДЖЕННЯ: ПЕРСПЕКТИВИ ТА МОЖЛИВОСТІ ЦИФРОВОЇ ПСИХОЛОГІЇАнотація.Штучний інтелект сприяє розширенню можливостей аналітичної діяльності у системі функціонування Big Data, організації психологічних досліджень та автоматизації.Актуальність цифрової психології пов'язана із стрімким розвитком інноваційних технологій, а також відсутністю упередженості засудження, що можуть виникати традиційній психології.Метою цього дослідження є аналіз перспектив і психології, розвивається в турбулентному інформаційному середовищі.Методологічною базою сукупність таких методів: синтез, дедукція, SWOT-аналіз узагальнення.Задля досягнення поставленої мети було послідовно виконано п'ять завдань.На першому етапі здійснено огляд літератури з використання штучного інтелекту психологічній практиці, який дозволив встановити не тільки наявність певного позитивного впливу, але й низку можливих негативних наслідків його застосування.Доведено, штучний дослідженнях помічником для фахівця.Визначено різні сфери, де нейронна мережа може бути застосована як теоретичних, так практичних дослідженнях.На другому проведено комплексний оцінки сильних сторін (можливостей) слабких
Citations
1
Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 137 - 166
Published: Oct. 18, 2024
As the global population ages, ensuring emotional well-being of older adults is a critical aspect healthcare systems. Emotional deeply intertwined with physical and mental health, particularly in facing complex health challenges such as falls, nutritional deficiencies, chronic conditions like cancer kidney disease (CKD), concerns loneliness. In this chapter, we explore how artificial intelligence (AI) can enhance by promoting (EI) improving outcomes for adults. The discussion integrates key aspects including falls prevention, nutrition, hydration, vitamin B12 deficiency, ageing place, loneliness, care, pharmacokinetics, moving handling. We examine transformative potential AI technologies addressing these issues, offering real-time personalized care interventions. By incorporating into elder create holistic systems that support emotional, mental, health.
Language: Английский
Citations
0
OBM Neurobiology, Journal Year: 2024, Volume and Issue: 08(02), P. 1 - 5
Published: May 24, 2024
The increasing prevalence of mental health issues among university students has become a growing concern globally. This review explores the potential Artificial Intelligence (AI) integrated with principles behaviour therapy to address challenges students. paper examines how AI technologies, including chatbots, virtual reality, and machine learning algorithms, can be harnessed provide accessible, personalized, effective interventions. Furthermore, it discusses applying within AI-driven interventions, focusing on techniques such as cognitive restructuring, exposure therapy, reinforcement strategies. highlights promising outcomes integrating in services, emphasizing need for ethical considerations, privacy protection, cultural sensitivity. By synthesizing current research findings theoretical frameworks, this provides insights into interventions enhance students’ well-being.
Language: Английский
Citations
0
Journal of Computational Methods in Sciences and Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18
Published: Sept. 25, 2024
With the intensification of social pressure and enhancement mental health awareness, issues college students have become increasingly prominent, attracting attention. Mental counseling services, as an important way to alleviate students’ psychological stress, are facing dual challenges a shortage professionals growing service demands. In recent years, application artificial intelligence (AI) technology in field has gradually risen, its advantages data analysis, pattern recognition, natural language processing provide new solutions for services. However, existing research still faces problems such insufficient understanding limited emotional interaction capabilities practical applications. This paper delves into AI services innovates improves upon deficiencies research. The study focuses on two main areas: First, word vector generation technologies based statistics models used according different scenarios, their effectiveness analysis texts is compared. Second, improved Seq2Seq model proposed enhance dialogue algorithms counseling. not only provides technological support but also opens directions perspectives health.
Language: Английский
Citations
0