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Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach
Research article (IRAL - International Review of Applied Linguistics in Language Teaching, 2022) · cited 10× · AI/ML
Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach
Summary
Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach is a scholarly article[1].
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Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-salient-trajectories-and-emerging-profiles-in-the-development-of-chinese-learners-motivation-a-growth-mixt
MLA“Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-salient-trajectories-and-emerging-profiles-in-the-development-of-chinese-learners-motivation-a-growth-mixt.
BibTeX@misc{4ortxyz_understanding-salient-trajectories-and-emerging-profiles-in-the-development-of-chinese-learners-motivation-a-growth-mixt_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-salient-trajectories-and-emerging-profiles-in-the-development-of-chinese-learners-motivation-a-growth-mixt}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach — https://4ort.xyz/entity/understanding-salient-trajectories-and-emerging-profiles-in-the-development-of-chinese-learners-motivation-a-growth-mixt (retrieved 2026-05-24)
