Research graph
References from Profiles and transitions of psychological adaptation in AI-assisted Japanese language learning. Local targets link to admitted publications; unresolved targets remain external evidence.
The extent of AI applications in EFL learning and teaching
10.1109/tlt.2023.3322128 · 2024 · External reference
Auxiliary variables in mixture modeling: three-step approaches using Mplus
10.1080/10705511.2014.915181 · 2014 · External reference
Job demands–resources theory: taking stock and looking forward
10.1037/ocp0000056 · 2017 · External reference
Unresolved reference
1997 · External reference
Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process
10.1186/s41239-023-00427-0 · 2023 · External reference
Estimating latent structure models with categorical variables: one-step versus three-step estimators
10.1093/pan/mph001 · 2004 · External reference
Psychometric analysis and refinement of the Connor–Davidson Resilience Scale (CD-RISC): validation of a 10-item measure of resilience
10.1002/jts.20271 · 2007 · External reference
Technostress and time spent online. a cross-cultural comparison for teachers and students
10.3389/fpsyg.2024.1377200 · 2024 · External reference
Sensitivity of goodness of fit indexes to lack of measurement invariance
10.1080/10705510701301834 · 2007 · External reference
Development of a new resilience scale: the Connor–Davidson Resilience Scale (CD-RISC)
10.1002/da.10113 · 2003 · External reference
Artificial intelligence in higher education: the state of the field
10.1186/s41239-023-00392-8 · 2023 · External reference
The job demands–resources model of burnout
10.1037/0021-9010.86.3.499 · 2001 · External reference
The relative performance of full information maximum likelihood estimation for missing data in structural equation models
10.1207/s15328007sem0803_5 · 2001 · External reference
Resilience effects on student performance and well-being: the role of self-efficacy, self-set goals, and anxiety
10.1080/00221309.2020.1835800 · 2022 · External reference
Finding latent groups in observed data: a primer on latent profile analysis in Mplus for applied researchers
10.1177/0165025419881721 · 2020 · External reference
Supporting self-efficacy beliefs and interest as educational inputs and outcomes: framing AI and human partnered task experiences
10.1016/j.lindif.2020.101850 · 2020 · External reference
College students' learning stress, psychological resilience and learning burnout: status quo and coping strategies
10.1186/s12888-023-04783-z · 2023 · External reference
AI in informal digital english learning: a meta-analysis of its effectiveness on proficiency, motivation, and self-regulation
10.1016/j.caeai.2024.100323 · 2024 · External reference
MplusAutomation: an R package for facilitating large-scale latent variable analyses in Mplus
10.1080/10705511.2017.1402334 · 2018 · External reference
Examining the relationships between resilience, mental health, and academic persistence in undergraduate college students
10.1080/07448481.2010.515632 · 2011 · External reference
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
10.1080/10705519909540118 · 1999 · External reference
The factorial validity of the Maslach Burnout Inventory–Student Survey in China
10.2466/pr0.105.2.394-408 · 2009 · External reference
Student burnout in higher education: a demand-resource model approach
10.1007/s43076-021-00137-4 · 2023 · External reference
How does artificial intelligence empower EFL teaching and learning nowadays? a review on artificial intelligence in the EFL context
10.3389/fpsyg.2022.1049401 · 2022 · External reference
Technostress: a comprehensive literature review on dimensions, impacts, and management strategies
10.1016/j.chbr.2024.100475 · 2024 · External reference
The effects of robot-assisted language learning: a meta-analysis
10.1016/j.edurev.2021.100425 · 2022 · External reference
Two years of innovation: a systematic review of empirical generative AI research in language learning and teaching
10.1016/j.caeai.2025.100445 · 2025 · External reference
Exploring the utility of ChatGPT for self-directed online language learning
10.24059/olj.v28i3.4497 · 2024 · External reference
Association between anxiety, depression symptoms, and academic burnout among chinese students: the mediating role of resilience and self-efficacy
10.1186/s40359-024-01823-5 · 2024 · External reference
“What is AI literacy? competencies and design considerations,”
10.1145/3313831.3376727 · 2020 · External reference
Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study
10.1080/10705510701575396 · 2007 · External reference
Ten frequently asked questions about latent transition analysis
10.1037/met0000486 · 2023 · External reference
Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in chinese EFL context
10.3389/fpsyg.2023.1255594 · 2023 · External reference
The consequences of technostress for end users in organizations: conceptual development and empirical validation
10.1287/isre.1070.0165 · 2008 · External reference
lavaan: an R package for structural equation modeling
10.18637/jss.v048.i02 · 2012 · External reference
Longitudinal model building using latent transition analysis: an example using school bullying data
10.3389/fpsyg.2018.00675 · 2018 · External reference
Technostress in students and quality of online learning: role of instructor and university support
10.3389/feduc.2024.1309642 · 2024 · External reference
Burnout and engagement in university students: a cross-national study
10.1177/0022022102033005003 · 2002 · External reference
Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline
10.1111/j.1365-2753.2010.01434.x · 2011 · External reference
The impact of technostress on role stress and productivity
10.2753/mis0742-1222240109 · 2007 · External reference
“ChatGPT is the companion, not enemies”: EFL learners' perceptions and experiences in using ChatGPT for feedback in writing
10.1016/j.caeai.2024.100270 · 2024 · External reference
A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research
10.1177/109442810031002 · 2000 · External reference
Psychometric properties of a self-efficacy scale for english language learners in China
10.1016/j.system.2014.01.015 · 2014 · External reference
Psychometric properties of the 10-item Connor–Davidson Resilience Scale in chinese earthquake victims
10.1111/j.1440-1819.2010.02130.x · 2010 · External reference
What matters most? AQ-method study on Chinese university students' perceived teacher support in AI-assisted EFL learning
10.1111/ejed.70327 · External reference
Exploring engagement, self-efficacy, and anxiety in large language model EFL learning: a latent profile analysis of chinese university students
10.1080/10447318.2024.2400403 · External reference
The achilles heel of technology: how does technostress affect university students' wellbeing and technology-enhanced learning?
10.3390/ijerph182312322 · 2021 · External reference
Artificial intelligence in language instruction: impact on english learning achievement, L2 motivation, and self-regulated learning
10.3389/fpsyg.2023.1261955 · 2023 · External reference
The effectiveness of artificial intelligence on english language learning achievement
10.1016/j.system.2024.103428 · 2024 · External reference
A systematic review on artificial intelligence dialogue systems for enhancing english as a foreign language students' interactional competence in the university
10.1016/j.caeai.2023.100134 · 2023 · External reference
The roles of growth mindset, resilience, and self-efficacy in student engagement with AI-enhanced chinese learning: a self-determination theory perspective
10.1016/j.lmot.2025.102183 · 2025 · External reference
Becoming a self-regulated learner: an overview
10.1207/s15430421tip4102_2 · 2002 · External reference
