ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 300
www.rsisinternational.org
Scaffold ED AI: Harnessing AI Platforms for Scaffolding Academic
Writing in Secondary and Tertiary ESL Classroom
*1
Aimi Shaheera Salleh,
2
Nur Liyana Marissa Ismail,
3
Dr. Emily Abd Rahman
1
Universiti Sains Malaysia (USM),
2
MRSM Sungai Besar,
3
Universiti Pertahanan Nasional Malaysia (UPNM)
*Corresponding Author
DOI: https://dx.doi.org/10.47772/IJRISS.2025.925ILEIID000054
Received: 23 September 2025; Accepted: 30 September 2025; Published: 06 November 2025
ABSTRACT
The rapid integration of Artificial Intelligence (AI) in education has created opportunities to reimagine
language learning and academic writing support. This study introduces ScaffoldED AI, an innovative teaching
strategy integrating scaffolding steps into AI-assisted writing. Unlike general-purpose AI applications,
ScaffoldED AI is grounded in Vygotsky’s Sociocultural Theory and the Flower and Hayes Cognitive Process
Model, positioning AI as both a mediational aid within the Zone of Proximal Development and a cognitive
partner in managing the complex processes of planning, translating, and reviewing ideas. ScaffoldED AI
supports learners through structured prompts, adaptive feedback, and guided planning strategies, implemented
via platforms such as ChatGPT, Gamma, and Canva. These features help reduce cognitive load, generate ideas,
and sustain writing momentum. Its relevance to language education lies in addressing common challenges in
academic writing, such as organisation, linguistic confidence, and writing-related anxiety, while fostering long-
term development of academic literacy skills. The study was conducted with both tertiary and secondary ESL
students, capturing perspectives across different stages of language learning. A Google Form survey revealed
that learners reported significant benefits, including reduced writing anxiety, enhanced efficiency and increased
confidence in producing written work. At the same time, concerns were raised regarding over-reliance and
ethical use, highlighting the importance of responsible integration and clear guidelines. The study concludes
that ScaffoldED AI can serve as a pedagogical ally in secondary and higher education, empowering learners
with greater autonomy, reducing barriers to effective writing, and enriching teaching practices
Keywords: Artificial Intelligence (AI); Academic Writing; Cognitive Load; Zone of Proximal Development
(ZPD)
INTRODUCTION
The rise of generative AI tools such as ChatGPT, Gemini, and Microsoft Copilot has reshaped the educational
landscape by offering instant access to information and writing support. While these tools enhance
accessibility and efficiency, they also raise concerns about over-reliance and diminished student critical
thinking. ESL learners in particular struggle with writing anxiety, cognitive overload, and lack of personal
voice, which hinder performance and motivation.
This project introduces ScaffoldED AI, an AI-based approach designed to address these challenges while
aligning with established learning theories. Grounded in process-based instruction (Hyland, 2019), the
Cognitive Process Model of Writing (Flower & Hayes, 1981), and Vygotsky’s Sociocultural Theory,
ScaffoldED AI rethinks AI not as a replacement for human thought, but as a thinking partner and scaffold for
improving clarity, reasoning, and autonomy.
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 301
www.rsisinternational.org
Problem Statement
Educators face pressing challenges in integrating AI into pedagogy while safeguarding learner agency and
creativity. Without appropriate scaffolding, the use of AI in writing classrooms can lead to several issues. First,
AI-generated content may limit students’ self-expression and personal connection in writing, as learners risk
becoming passive recipients of text rather than active creators (Jo, 2024). Second, ESL learners often
experience cognitive overload when navigating multiple linguistic demands simultaneously, which can hinder
their ability to plan, translate, and review ideas effectively (Flower & Hayes, 1981; Zou et al., 2023). Third,
students frequently suffer from writing anxiety, where fear of making mistakes or producing substandard work
reduces creativity and motivation (Hyland, 2019).
These concerns highlight the urgent need for innovations that embed structured scaffolding into AI-assisted
writing. By integrating scaffolding strategies, AI can be reframed as a thinking partner that supports learner
autonomy, reduces cognitive barriers, and promotes ethical and effective classroom integration (Vygotsky,
1978; Lantolf & Poehner, 2019; Luckin et al., 2023).
Objectives
1. To explore how ChatGPT can function as a thinking partner in helping students improve clarity,
reasoning, and personal voice in writing.
2. To examine the effects of teacher guidance and structured prompts in shaping students’ written work,
focusing on organisation, coherence, and confidence.
PRODUCT DESCRIPTION & METHODOLOGY
ScaffoldED AI operationalises scaffolding by embedding structured learning supports into AI-assisted writing.
The model incorporates structured prompts that guide students in brainstorming, planning, and revising their
work, ensuring that AI is used purposefully rather than as a shortcut. In addition, teacher checkpoints are
embedded at various stages to moderate student use of AI and to ensure that ethical engagement is maintained.
Learners also participate in collaborative activities, such as peer critique sessions and the maintenance of
reflection logs, which help them critically evaluate AI feedback and develop greater self-awareness in their
writing processes.
The implementation of ScaffoldED AI was carried out in three phases. During the induction phase, students
were introduced to AI tools and given explicit guidelines on ethical and effective use. In the intervention phase,
students engaged in guided writing tasks supported by structured prompts and ChatGPT integration. Finally, in
the post-intervention phase, learners engaged in reflection, peer feedback, and the production of finalised
writing outputs.
The study involved two groups of participants: 32 tertiary STEM students from a public university in Malaysia
and 21 secondary school students from a secondary school in Malaysia, who were purposively selected as they
had been identified as struggling with English proficiency. A mixed-methods research design was employed to
capture both quantitative and qualitative insights. The quantitative strand utilised a questionnaire consisting of
eight Likert-scale items, which were analysed using descriptive statistics. The qualitative strand involved open-
ended survey questions and reflection logs, which were analysed thematically to capture learner perceptions in
greater depth. The qualitative data from open-ended survey questions and reflection logs were analysed using
thematic analysis. Responses were first read repeatedly to gain familiarity with the data. Initial codes were
generated inductively, and these codes were then grouped into broader themes through iterative discussions
among the researchers. This process ensured transparency and intersubjective validation of the emergent
themes.
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 302
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POTENTIAL FINDINGS AND COMMERCIALISATION
To capture learner perspectives, a survey was conducted with both tertiary and secondary ESL students. Table
1 presents the comparative results across key areas, including comprehension, efficiency, collaboration, and
language development, highlighting how ScaffoldED AI supported learners in different educational contexts.
Table 1 Perceptions of Tertiary and Secondary ESL Students on the Use of ScaffoldED AI
Theme
Tertiary
Secondary
AI helps to understand difficult topics better
94%
95%
AI saves time for analysing and finding sources
88%
100%
AI is useful for presentations & group projects
47%
62%
AI provides great feedback & suggestions
47%
76%
AI eases learning
94%
90%
AI usage in learning suits my personal needs
59%
99%
AI improves grammar and vocabulary
47%
95%
AI improves idea expansion
82%
95%
The findings from both groups of participants demonstrate that ScaffoldED AI was highly effective in
supporting ESL learners at different educational levels. A large majority of tertiary students (94%) and
secondary students (95%) reported that AI helped them to better understand difficult topics, suggesting that AI-
assisted scaffolding can reduce cognitive barriers to comprehension. Similarly, 88% of tertiary learners and
100% of secondary learners indicated that AI significantly saved them time in analysing large amounts of
information and locating relevant sources, highlighting the efficiency gains associated with structured AI use.
The study also revealed benefits in collaborative and creative aspects of writing. While 47% of tertiary
students and 62% of secondary students found AI useful for presentations and group projects, higher
proportions noted gains in the quality of feedback and suggestions: 47% for tertiary and 76% for secondary
learners. This indicates that ScaffoldED AI can be effectively extended beyond individual writing tasks to
enhance teamwork and idea refinement.
In addition, learners reported marked improvements in confidence and self-expression. Almost all tertiary
students (94%) and secondary students (90%) agreed that AI made learning easier overall, while 59% of
tertiary learners and 99% of secondary learners stated that AI use suited their personal learning needs.
Importantly, ScaffoldED AI appeared to strengthen core language skills, with 47% of tertiary learners and 95%
of secondary learners recognising improvements in grammar and vocabulary, and 82% and 95% respectively
acknowledging its role in expanding ideas.
Figure 1 Perceptions of Tertiary and Secondary ESL Students on the Use of ScaffoldED AI
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 303
www.rsisinternational.org
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
AIs 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.
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 304
www.rsisinternational.org
For institutional implementation, ScaffoldED AI could be introduced through phased professional development
programmes that train educators to integrate structured prompts into their teaching practice. Institutions may
adopt licensing models to embed AI platforms within existing learning management systems, enabling
streamlined access and analytics. Pilot implementations across multiple faculties or schools could then inform
broader rollouts, ensuring scalability and sustainability.
NOVELTY AND RECOMMENDATIONS
The novelty of ScaffoldED AI lies in its ability to fuse AI platforms with structured pedagogical scaffolding,
thereby bridging the gap between theory and practice. Unlike conventional AI tools, which often function as
stand-alone applications, ScaffoldED AI operationalises process-based, cognitive, and sociocultural
approaches. This integration ensures that writing support remains not only efficient but also meaningful,
fostering learner autonomy rather than dependency. Beyond technical integration, ethical and pedagogical
considerations are critical for sustaining learner autonomy. Teachers play a pivotal role in modelling critical
engagement with AI outputs and designing tasks that balance AI support with opportunities for independent
reasoning and creativity. Structured prompts and checkpoints should be complemented with explicit
discussions around bias, accuracy, and responsible use, ensuring that students remain active agents in their
learning process.
Based on the findings of this study, several recommendations can be made. First, future research should
conduct longitudinal studies to evaluate the sustained impact of ScaffoldED AI on writing development across
different educational levels. Second, it is crucial to strengthen teacher AI literacy, equipping educators with the
knowledge and skills to integrate AI responsibly into their teaching practices. Third, the development of ethical
frameworks is necessary to address concerns of transparency, bias, and equity in AI use. Finally, efforts should
be made to expand the implementation of ScaffoldED AI across institutions, ensuring its broader adoption in
ESL contexts and its adaptability to diverse learner needs.
CONCLUSION
This study set out to introduce and evaluate ScaffoldED AI as an innovative approach to scaffolding academic
writing through AI platforms. The findings demonstrate that both tertiary and secondary ESL learners
benefitted from the intervention, reporting improved comprehension of difficult topics, greater efficiency in
handling information, and enhanced confidence in their writing abilities. These outcomes were reinforced by
qualitative feedback, which highlighted AI’s role in reducing writing anxiety and supporting idea expansion,
while also drawing attention to concerns of over-reliance and the irreplaceable role of teachers.
The integration of structured prompts, teacher guidance, and collaborative reflection ensured that AI
functioned not as a substitute but as a thinking partner, aligning with both cognitive and sociocultural theories
of learning. In doing so, the study addressed its objectives by showing that ChatGPT can enhance clarity,
reasoning, and personal voice in writing, while teacher mediation safeguards organisation, coherence, and
autonomy.
Equity and access remain important considerations in the adoption of AI tools. Disparities in digital access,
language support, and institutional infrastructure may affect how different learners engage with AI.
Furthermore, biases embedded in AI models can shape the kind of feedback and content generated, potentially
disadvantaging certain learner groups. Addressing these concerns through policy, training, and tool
development is essential for ensuring equitable implementation across ESL contexts.
Taken together, the results affirm that ScaffoldED AI can serve as a pedagogical ally across educational levels.
By reducing barriers to effective writing and enriching teaching practices, this innovation holds significant
potential for wider adoption in ESL contexts and beyond. This study was conducted with participants from two
institutions, which may limit the generalisability of the findings. Future studies should include a larger and
more diverse sample to strengthen external validity.
ILEIID 2025 | International Journal of Research and Innovation in Social Science (IJRISS)
ISSN: 2454-6186 | DOI: 10.47772/IJRISS
Special Issue | Volume IX Issue XXV October 2025
Page 305
www.rsisinternational.org
ACKNOWLEDGEMENTS
The authors would like to express their sincere gratitude to the participating students and teachers whose
cooperation made the implementation of ScaffoldED AI possible.
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