Design, Development and Delivery of an AI empowered Academic Writing e leanring module
Download as PPTX, PDF0 likes93 views
The document discusses the design, development, and validation of an AI-powered academic writing module aimed at addressing the challenges students and academics face in writing. Utilizing a user-centered approach and various methodologies, the module integrates AI tools and methods to enhance academic writing skills while receiving positive feedback from participants. Key findings indicate improved writing abilities, confidence, and the potential for broad application across educational frameworks.
Design, Development and Delivery of an AI empowered Academic Writing e leanring module
- 1. V. Rajaratnam (VR), A. Kaur (AK), J. Kovilpillai (JK), F Raza(FR). DESIGN, DEVELOPMENT, AND VALIDATION OF AN AI-POWERED ACADEMIC WRITING MODULE: AN E-CONTENT APPROACH VR - Senior Consultant Hand Surgeon, KTPH , Adjunct Professor, Innovative Digital Learning, APU AK – Professor, Innovative Digital Learning, APU JK - Program Manager, APU FR – Doctoral Research Fellow, APU
- 2. Introduction
- 3. The Problem Challenges of academics and students with academic writing Lacking competencies in academic writing Inability to produce academic papers Affecting careers Specific Challenges Drafting, editing and structuring Articulation of coherent arguments, Adherence to scholarly conventions, and Searching, selecting, extracting and synthesis of existing literature.
- 4. Methodology • User-centered approach: • Design and Development Research (DDR)* • Model -Design Thinking (DT)** & DDR - EDIPT • Tool – Six Phase Methodology • Product – Online Module AI-enabled Academic Writing (AIAW) • Mixed Methods • Qualitative - Needs analysis, Expert Review and Evaluation • ID Experts – Semi-structured interviews • Academic and Undergraduate and Post Graduate Students • Quantitative – Survey Evaluation, Validation *Richey, R. C., & Klein, J. D. (2014). Design and Development Research. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 141–150). Springer. https://doi.org/10.1007/978-1-4614-3185-5_12 **Valentine, L., Kroll, T., Bruce, F., Lim, C., & Mountain, R. (2017). Design Thinking for Social Innovation in Health Care. The Design Journal, 20(6), 755–774. https://doi.org/10.1080/14606925.2017.1372926
- 5. EDIPT Model Empathize and Identify: • Empathise, understand their needs and identify the problem Define and Research: • Define the users’ needs and problems and select research methodology Ideate and Design: •Challenge assumptions, create ideas, and design Prototype and Develop: • Create solutions and develop Test and Evaluate: • Try out the solutions, collect data, and interpret the findings
- 6. TOOL Phase 1: Empathize with Learner Challenges Phase 2: Define User Needs and Requirements Phase 3: Ideate and Develop the Curriculum Phase 4: Prototype the Online Module Phase 5: Validate through Expert Review and Pilot Testing Phase 6: Evaluate with Surveys and In-Depth Interviews Phase 7: Analysis and Iteration
- 8. AI Chatbot for Academic Writing
- 9. Results: Effectiveness and Impact • Development and Integration • Comprehensive module focused on IMRD framework • Integration of AI platforms: ChatGPT, Typeset.io, ELicit.com, and Scholarcy.com • Hands-on components for effective use of AI tools • Expert Validation and Pilot Implementation • Rigor evaluation by four instructional design (ID) experts • Hands-on workshop at APU, Malaysia • Virtual with the University of Eswatini • Positive feedback from learners and teachers
- 10. Analysis • Quantitative and qualitative methods: • Survey: Writing skills • Semi structured interviews: User experiences and feedback • Data analysis: Module's effectiveness and insights for refinement • Themes from qualitative feedback: Categorized and quantified for future iterations
- 11. AIAW attendees Response rate 38% 165 ATTENDEES 140 ACADEMICS 20 STUDENTS 5 UG 93 MALES 72 FEMALES 20 PG
- 12. Rate the overall effectiveness of the AI- Powered Academic Writing Workshop 0 5 10 15 20 25 30 35 40 45 Average Excellent Good Very Poor
- 13. Did the workshop meet your expectations in terms of enhancing your academic writing skills with AI tools?
- 14. Which workshop sessions or activities did you find most valuable?
- 15. AIAW Qualitative Excellent training session. The trainer is very generous in sharing knowledge. It has definitely boost my research skills and I am definitely going back to research. We need more of Mr Vai's knowledge and guidance, very powerful and lots energy he carries Superb and most amazing workshop! It helps to generate more papers and getting familiar using AI tools. It was excellent!! It was an excellent workshop. I would appreciate more practice on this. Superb and most amazing workshop! It helps to generate more papers and getting familiar using AI tools.
- 16. Have your academic writing skills improved as a result of attending this workshop?
- 17. Key Findings •Enhanced understanding of IMRD framework •Improved writing skills and confidence •Time savings with AI assistance •Change in perception of AI in education
- 18. Discussion • Module Validation and Implementation • Successful validation through the DDR framework and participant feedback • Strategic incorporation of Generative AI tools • Conversion into SCORM-compliant format and OER (RISE 360) • Chatbot Integration for Support • Real-time, universal, and accessible support for learners • Virtual assistant for addressing queries and fostering an interactive learning environment • Crucial for self-directed learners and those with limited access to direct instructional support
- 19. Limitations and Future Directions • Limited implementation at two institutions, requiring broader application • Sustainability and long-term impact of acquired skills warrant longitudinal research • Chatbot effectiveness and integration require further investigation • Further Research • Adaptability and efficacy across different cultures and educational frameworks • Extending AI integration to areas beyond academic writing • Expanding AI toolset to include emerging technologies
- 20. Impact of the Study • Novel approach to AI integration in academic writing Academic contribution: • Reproducible model for educators Practical implications: • Powerful educational resource for universal access OER with integrated chatbot support: • Integrate into Academic and Learner Competencies Integrating AI and Generative AI • A groundbreaking model for integrating AI in education AI-Powered Academic Writing Module: • Scalable and Replicable Redefine educational practices