Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Jurnal Sosialita: Jurnal Kajian Sosial dan Pendidikan Punggawa Social Inquiry: Journal of Crime, Culture, and Social Dynamics
Yundong Wu
Independent Researcher
Humanities Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Paws and Progress: The Role of Pets in Supporting Adolescent Emotional Development Yundong Wu
Punggawa Social Inquiry: Journal of Crime, Culture, and Social Dynamics Vol. 1 No. 2 (2026): Punggawa Social Inquiry 1(2) 2026 : September
Publisher : Punggawa Legacy Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67707/psi.v1i2.128

Abstract

Adolescence is an important stage for emotional development because young people experience changes in identity, family relationships, peer networks, academic demands, and emotional regulation. Companion animals may provide an additional source of emotional support during this period. This paper explores the role of pets in supporting adolescent emotional development through an exploratory review of previous research. The review focuses on companion animal relationships, attachment, social support, loneliness, stress coping, self-esteem, self-efficacy, resilience, family communication, and structured animal-based programs. Existing studies suggest that supportive relationships with pets may provide companionship, emotional safety, daily structure, opportunities for caregiving, and support for social interaction. However, pet ownership alone does not consistently predict better emotional health. The quality of the adolescent-pet relationship, animal species, family environment, caregiving responsibility, and the adolescent’s existing social resources may influence outcomes. Some studies also report no benefit or more complex relationships between pet ownership and loneliness, stress, or well-being. Therefore, pets should be understood as possible supportive resources rather than universal solutions to adolescent emotional difficulties. Families, schools, and mental health professionals may consider carefully planned human-animal interactions while protecting both adolescent and animal welfare. More longitudinal and culturally diverse studies are required to explain when, how, and for whom relationships with pets support healthy emotional development.
The Evolution of Legal AI Applications: A Scientometric Analysis Ying Chen; Yundong Wu; Weijian Kong
Punggawa Social Inquiry: Journal of Crime, Culture, and Social Dynamics Vol. 1 No. 2 (2026): Punggawa Social Inquiry 1(2) 2026 : September
Publisher : Punggawa Legacy Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67707/psi.v1i2.156

Abstract

This study employs a scientometric approach to examine 421 Legal AI publications indexed in the Scopus database between 2015 and 2025, mapping the structural evolution, key thematic clusters, and emerging research frontiers of the field. The empirical findings reveal a gradual increase in publication volume after 2019, followed by an unprecedented expansion after 2022. While core tasks such as legal decision support and legal information retrieval constitute the largest topic categories, recent scholarship demonstrates a clear shift toward generative AI, legal chatbots, and critical questions regarding ethics, privacy, and algorithmic accountability. Longitudinal keyword analysis confirms a transition from general machine learning models toward natural language processing, large language models, explainability, and responsible AI governance. Furthermore, geographic analysis shows that despite increasing global participation, output remains concentrated in a limited group of countries led by the United States, China, and the United Kingdom. The paper concludes that future Legal AI research must move beyond isolated task accuracy to evaluate system validity, source reliability, human oversight, and institutional adaptation within complex legal frameworks.
MAPPING AI-ASSISTED TEACHING THROUGH AN EDUCATIONAL EQUITY LENS: A BIBLIOMETRIC STUDY Jiani Wu; Yundong Wu
Jurnal Sosialita Vol. 21 No. 2 (2026): Innovative Learning for Achieving Sustainable Education
Publisher : Program Magister Pendidikan IPS UPY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/js.v21i2.10645

Abstract

Artificial intelligence is becoming part of lesson planning, tutoring, feedback, assessment, learning analytics, and institutional decision making. However, growth in AI-assisted teaching does not automatically lead to fair educational outcomes. This study maps research on AI-assisted teaching and examines how educational equity appears within the field. Records published from 2010 to 2025were retrieved from Google Scholar and Scopus during July and August 2026. After duplicate removal and screening, 1,346 journal articles and reviews were retained. Bibliometric procedures included annual publication analysis, thematic coding, country and authorship analysis, keyword co-occurrence review, and an equity-focused content classification. The results show rapid publication growth after 2022, with 553 records appearing in 2025 and the first eight months of 2026. Research is concentrated in instructional design, personalized learning, assessment, and teacher support, while equity, inclusion, ethics, and governance form a smaller but growing area. High-income countries account for 67.8% of corresponding authorship, whereas low-income countries account for only 1.0%. Among 318 records with an explicit equity focus, disability and accessibility, socioeconomic access, language inclusion, and algorithmic fairness receive the most attention. The paper argues that future work should connect technical performance with access, representation, teacher agency, data protection, and locally meaningful outcomes. It also proposes a research agenda for more inclusive datasets, stronger comparative designs, and human-centered governance in AI-assisted teaching
Co-Authors Jiani Wu Weijian Kong Ying Chen