Enterprise AI Analysis
Artificial Intelligence for Academic Purposes (AIAP): Integrating Al literacy into an EAP module
This study develops and implements a 10-week AI-integrated EAP module, AIAP, at a pathway college in Scotland. Utilizing a mixed-methods approach, it investigates the impact on international students' attitudes, confidence, and purposes of using AI tools. Results indicate significant improvements in students' ability to critically evaluate GenAI output, confidence in using a greater variety of AI tools, understanding of ethical AI use, and an expansion in AI tool purposes. The module effectively meets academic needs and provides a replicable model for AI literacy integration into EAP courses, aligning technological proficiency with ethical awareness.
Executive Impact
Our analysis reveals the most significant impacts on AI Literacy Components from the research:
Increased confidence in ethical AI use
Significant
Students critically evaluate GenAI output
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
AI Literacy Components
Vocabulary & Concepts
Fostering knowledge of core AI terminology (machine learning, GenAI, LLMs) to confidently engage with AI-related texts and discussions.
Inner Workings
Understanding how GenAI tools function, their capabilities, and limitations, enabling responsible and effective use, without delving into overly complex technical details.
Prompt Engineering
A fundamental skill for eliciting useful responses from GenAI, intrinsically linked to critical and creative thinking, improving self-efficacy, and leveraging AI for academic pursuits using frameworks like CREATE.
Specific Tools & Applications
Introduction and modeling of relevant AI tools (ChatGPT, Elicit, Consensus, Perplexity) for various academic purposes like ideation, language support, source searching, and revision, with emphasis on comparative evaluation and critical assessment of outputs.
Ethics & Appropriacy
Explicit teaching of appropriate AI use to prevent academic misconduct, fostering a positive learning environment with clear guidelines, declaration of AI use, and reflection to develop personal ethical frameworks.
0.524
Large effect size increase in confidence in ethical AI use.
| AI Tool | Pre-Module Confidence (Median) | Post-Module Confidence (Median) |
|---|---|---|
| Overall Confidence | 3.00 |
|
| ChatGPT | 3.00 |
|
| Quillbot | 2.00 |
|
| Consensus | 1.00 |
|
| Elicit | 1.00 |
|
| Perplexity | 1.00 |
|
Enterprise Process Flow
Pre-writing tasks (analyzing instructions, source evaluation, outline preparation)
→
Extended writing skills (paragraphing, reporting language, academic style, cohesion)
→
Revision & proofreading (presentation skills)
→
AI Literacy integrated into all stages for writing support
Student Perspective: Overcoming AI Fear
"Before I was able to [...] interact with Al [...] there is quite a stigma with using Al and research because you can come across as not having integrity and plagiarism [...] after that I don't have the stigma anymore. I understand that this can be used in a positive way in a legal way and it's not always that if you use Al you are not being a good person, you're plagiarising and you don't have integrity."
— Ngoc (Art student, post-module interview)
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Your AI Implementation Roadmap
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Phase 01: Discovery & Strategy
Comprehensive assessment of current workflows, identification of AI opportunities, and development of a tailored AI strategy aligned with business objectives.
Phase 02: Pilot Program & Validation
Implementation of AI solutions in a controlled environment, rigorous testing, and data-driven validation of efficiency gains and ROI.
Phase 03: Scaled Deployment & Integration
Full-scale integration of validated AI solutions across relevant departments, ensuring seamless adoption and minimal disruption.
Phase 04: Monitoring & Optimization
Continuous monitoring of AI system performance, iterative refinement, and advanced analytics to ensure ongoing maximum efficiency and adaptability.
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