Correction: Liu, Z.; Wang, Q. The Application of AI Chatbot System Based on CLIL Concept in the Teaching of Artificial Intelligence Courses. Appl. Sci. 2026, 16, 1633

In the original publication [1], the author Ziqi Liu was mistakenly listed with two affiliations, whereas only the first affiliation (Faculty of Education, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia) should have been included.

There was also a mistake in Table 8. Table of Research Process as published. Rows 3–10 in the last column were mistakenly identical to those in the third column. The corrected

Table 8. Table of Research Process.

Phase	Step	Specific Operations and Procedures	Task/Output
Preparation stage	1	Recruit participants, obtain informed consent, and randomly assign groups	Identified 98 participants and their groups (see Table 7)
	2	Develop and deploy an AI educational chatbot system; prepare traditional teaching materials.	Complete the setup of the teaching environment.
	3	Design and validate the pre-test/post-test sheets and the experience questionnaire.	Finalize the assessment tools.
Pre-test stage	4	All participants completed the AI terminology knowledge pre-test online.	Baseline data was collected to assess the initial level balance.
Intervention stage	5	Experimental group: Accessed the AI chatbot through the web and completed the terminology task learning under system guidance. Control group: Studied the same content through online platforms, including PPT presentations, recorded videos, and PDF materials.	Two groups of students received two-week differentiated teaching interventions respectively.
Post-test and data collection	6	All participants completed the same AI terminology knowledge post-test online.	Main results data on terminology mastery were collected.
Data analysis stage	7	Only the experimental group: Completed the system experience assessment questionnaire online.	Subjective learning experience data was collected.
Pre-test stage	8	Data cleaning and encoding.	Generate a dataset suitable for statistical analysis.
	9	Statistical analysis: Compare post-test scores between groups (t-test/factorial analysis); Analyze questionnaire scores; Present visually.	Generate research results.

appears below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.