To complement these quantitative findings, the qualitative responses offered valuable insight into how learners
perceived the role of AI in their writing. A recurring theme was the view of AI as a supportive partner in idea
generation and expansion. Several students described how AI gave them a starting point when they struggled
to begin a task, with one noting that “AI is good for expanding our ideas, especially when brainstorming.”
Another student highlighted its motivational effect, explaining that “ChatGPT is less intimidating than starting
with a blank page,” which illustrates how AI can help reduce writing anxiety and encourage learners to engage
with the task more confidently.
At the same time, students also identified limitations and risks associated with AI use. Some learners expressed
concern about over-reliance, with one remarking that “I’m afraid future students can’t do any task without
relying on AI.” This perspective signals a fear that students might become too dependent on AI for even simple
tasks, thereby weakening their own critical thinking and creativity. Others emphasised issues of accuracy and
reliability, as reflected in the comment, “AI sometimes gives the right steps but the wrong explanation.” Such
observations underscore the importance of teacher mediation in helping learners critically evaluate AI outputs
rather than accepting them at face value.
In addition, there was a strong recognition that while AI can provide technical support, it cannot replace the
human dimensions of teaching and mentorship. One participant noted, “AI could replace human aspects of
teaching, like empathy and mentorship,” highlighting that the relational and affective roles of teachers remain
central to the learning process. These qualitative findings reveal that students are not only aware of the benefits
AI can bring but are also critically reflective of its limitations, pointing to the necessity of responsible and
scaffolded integration.
These findings highlight the dual role of AI as both a cognitive partner and a sociocultural tool. On the
cognitive level, AI reduced the burden of planning and translating, allowing students to focus more on clarity
and reasoning, consistent with Flower and Hayes’ (1981) writing model. From a sociocultural perspective, the
structured prompts and teacher mediation ensured that AI became a form of guided interaction within the Zone
of Proximal Development (Vygotsky, 1978; Lantolf & Poehner, 2019). The improvements in confidence,
grammar, and idea expansion also support Hyland’s (2019) emphasis on process-based instruction, where
drafting, feedback, and reflection foster deeper engagement. At the same time, the different response rates
between tertiary and secondary learners suggest that younger students may benefit more quickly from AI
scaffolding in foundational skills, whereas tertiary learners require support for higher-order tasks such as
critical reasoning and synthesis. Taken together, these results underscore the potential of ScaffoldED AI to
improve both cognitive and affective dimensions of ESL learning, while adapting effectively across
educational contexts.
In relation to the research objectives, the findings suggest that ChatGPT was successfully positioned as a
thinking partner, helping students generate ideas, improve clarity, and gain confidence in their writing. The
combination of reduced writing anxiety and increased ability to expand ideas provided conditions for learners
to express their personal voice more effectively. At the same time, the role of teacher guidance and structured
prompts proved essential in shaping students’ written outcomes. The scaffolding strategies ensured that AI use
contributed to better organisation and coherence, while also safeguarding learner autonomy and creativity.
Together, these results confirm that both research objectives were achieved, offering evidence of ScaffoldED
AI’s potential to enhance clarity, reasoning, personal voice, and confidence in ESL writing. While this study
employed descriptive statistics to capture key trends, future research should incorporate inferential statistical
analyses to establish the significance of observed differences across groups and to allow for broader
generalisation.
In terms of commercialisation, ScaffoldED AI has the potential to be developed into a modular training kit for
institutions, incorporating prompt cards, peer checklist templates, and digital reflection tools. Its integration
with learning management systems (LMS) or mobile applications could provide real-time analytics, learner
dashboards, and even micro-credentials or badges to recognise writing progress. The innovation is also highly
scalable, with potential applications in universities, secondary schools, and corporate training environments,
thereby broadening its market reach.