Evaluation of the First Phase of the Remedial Framework — Ver. 1
Mau Wai, Ng (2025) Evaluation of the First Phase of the Remedial Framework — Ver. 1. [2D Design, Teaching]
This dataset and accompanying visualization represent the initial phase outputs from the research project Advancing Design Education: A Catch-Up Programme and Blended Learning Framework to Address Learning Disparities Among Communication Design Students. Conducted prior to student interviews, this exploratory stage utilized AI-driven emotional forecasting to simulate and predict undergraduate students' user experiences (UX) across a 14-week blended learning curriculum in communication design. The framework differentiates between standard classroom cohorts and a remedial "catch-up" group, targeting learning disparities through structured phases: Research, Analysis, Innovation, Experimentation, Engaging with Practice, Personal & Professional Connectivity, Realisation, and Communication.
Key components include weekly breakdowns of content (e.g., brief analysis, ideation, prototyping), cognitive/practical skills (e.g., triangulation for insights, modular design experimentation), and tasks (e.g., mood boards, video presentations, format evaluations). AI-generated emotion levels (e.g., stress indicators from presentations) were mapped against task-content alignment for two personas: Persona 1 (unable to attend class, higher remedial needs) and Persona 2 (able to attend). Findings highlight stressors like classroom presentations (per Advance HE research) and positive alignments in visual asset creation, informing adaptive strategies such as modular prototyping and alternative formats (e.g., video over oral delivery).
Post-interview comparisons will validate these forecasts, contributing to equitable design education models. Data includes annotated timelines, skill matrices, and UX emotion graphs for replication and extension in blended learning contexts.
ORCID: https://orcid.org/0000-0003-3461-6375
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