Jing Li

ORCID: 0000-0003-0049-8577
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Higher Education Research Studies
  • Retirement, Disability, and Employment
  • Labor market dynamics and wage inequality
  • International Student and Expatriate Challenges
  • Higher Education Governance and Development
  • Visual Attention and Saliency Detection
  • Ginseng Biological Effects and Applications
  • AI in Service Interactions
  • Online Learning and Analytics
  • Ideological and Political Education
  • Technology-Enhanced Education Studies
  • Digital Marketing and Social Media
  • Educational Technology and Pedagogy
  • Statistical Methods in Clinical Trials
  • Immune Cell Function and Interaction
  • Customer Service Quality and Loyalty
  • Global Education and Multiculturalism
  • Higher Education and Teaching Methods
  • Innovation and Knowledge Management
  • Technology Adoption and User Behaviour
  • Pharmacological Effects of Natural Compounds
  • Natural product bioactivities and synthesis
  • Construction Project Management and Performance
  • Innovative Educational Techniques
  • Inflammasome and immune disorders

Harvard University Press
2025

University of Georgia
2024

Changchun University of Chinese Medicine
2021-2024

Columbia University
2017

Tsinghua University
2017

King University
2017

Peking University
2017

University of Tulsa
2014

Wuhan University
2013

Hanalei Watershed Hui
2009

Abstract Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students’ engagement with AI courses remains a challenge. This study addresses this gap by extending technology acceptance model (TAM) to incorporate cognitive such as intrinsic motivation (AIIM), readiness (AIRD), confidence (AICF), and anxiety (AIAX), alongside human–computer interaction (HCI) elements like user interface (UI), content (C), learner-interface...

10.1038/s41598-024-64363-3 article EN cc-by Scientific Reports 2024-06-17

Purpose – The purpose of this study is to explore the impact both information self-efficacy and acquisition with regard channels on decision quality also satisfaction, which provides a new angle for online shopping satisfaction research practice alike. Design/methodology/approach This develops model drawing upon customer theory, making theory tests it using questionnaire partial least squares structural equation modelling. Findings Data collected from 331 Chinese customers were used test...

10.1108/oir-09-2012-0156 article EN Online Information Review 2013-11-05

10.52214/cice.v19i2.11544 article EN cc-by Current Issues in Comparative Education 2017-01-01
Coming Soon ...