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Pedagogical Reflections on the Holistic Cognitive Development (HCD) Framework and AI-Augmented Learning in Creative Computing

Anand Bhojan

TL;DR

The paper presents the Holistic Cognitive Development (HCD) framework, a constructivist pedagogy that fuses Thinking, Creating, Criticizing, and Reflecting with a Balanced Supportive Autonomy supervision style to support reflective and creative learning in computing. It situates HCD in design thinking, experiential learning, and reflective practice, and demonstrates its deployment across three courses (CS3247, CS4350, CS4240) focused on games and XR. To scale reflective feedback, the authors introduce AI-augmented tools—iReflect, ReflexAI, and Knowledge Graph–Enhanced LLM feedback—that make thinking visible, standardize critique, and provide domain-aware guidance. Empirical findings indicate improved reflective depth, higher-quality feedback, and greater learner autonomy, with correlations to expert ratings reaching $r \,\approx\,0.7$--$0.8$ after prompt optimisation and reduced scoring variance via KG-enhanced feedback. The work highlights both the practical benefits and considerations for integrating AI into supervision, suggesting paths for personalized, longitudinal reflection and broader adoption beyond game and XR design.

Abstract

This paper presents an expanded account of the Holistic Cognitive Development (HCD) framework for reflective and creative learning in computing education. The HCD framework integrates design thinking, experiential learning, and reflective practice into a unified constructivist pedagogy emphasizing autonomy, ownership, and scaffolding. It is applied across courses in game design (CS3247, CS4350), virtual reality (CS4240), and extended reality systems, where students engage in iterative cycles of thinking, creating, criticizing, and reflecting. The paper also examines how AI-augmented systems such as iReflect, ReflexAI, and Knowledge Graph-enhanced LLM feedback tools operationalize the HCD framework through scalable, personalized feedback. Empirical findings demonstrate improved reflective depth, feedback quality, and learner autonomy. The work advocates a balance of supportive autonomy in supervision, where students practice self-directed inquiry while guided through structured reflection and feedback.

Pedagogical Reflections on the Holistic Cognitive Development (HCD) Framework and AI-Augmented Learning in Creative Computing

TL;DR

The paper presents the Holistic Cognitive Development (HCD) framework, a constructivist pedagogy that fuses Thinking, Creating, Criticizing, and Reflecting with a Balanced Supportive Autonomy supervision style to support reflective and creative learning in computing. It situates HCD in design thinking, experiential learning, and reflective practice, and demonstrates its deployment across three courses (CS3247, CS4350, CS4240) focused on games and XR. To scale reflective feedback, the authors introduce AI-augmented tools—iReflect, ReflexAI, and Knowledge Graph–Enhanced LLM feedback—that make thinking visible, standardize critique, and provide domain-aware guidance. Empirical findings indicate improved reflective depth, higher-quality feedback, and greater learner autonomy, with correlations to expert ratings reaching -- after prompt optimisation and reduced scoring variance via KG-enhanced feedback. The work highlights both the practical benefits and considerations for integrating AI into supervision, suggesting paths for personalized, longitudinal reflection and broader adoption beyond game and XR design.

Abstract

This paper presents an expanded account of the Holistic Cognitive Development (HCD) framework for reflective and creative learning in computing education. The HCD framework integrates design thinking, experiential learning, and reflective practice into a unified constructivist pedagogy emphasizing autonomy, ownership, and scaffolding. It is applied across courses in game design (CS3247, CS4350), virtual reality (CS4240), and extended reality systems, where students engage in iterative cycles of thinking, creating, criticizing, and reflecting. The paper also examines how AI-augmented systems such as iReflect, ReflexAI, and Knowledge Graph-enhanced LLM feedback tools operationalize the HCD framework through scalable, personalized feedback. Empirical findings demonstrate improved reflective depth, feedback quality, and learner autonomy. The work advocates a balance of supportive autonomy in supervision, where students practice self-directed inquiry while guided through structured reflection and feedback.

Paper Structure

This paper contains 17 sections, 1 figure, 1 table.

Table of Contents

  1. Introduction
  2. The Holistic Cognitive Development Framework
  3. Learning Activities Cycle
  4. Supervision Style: Balanced Supportive Autonomy
  5. Theoretical Foundations
  6. Experiential Learning and Reflection
  7. Design Thinking and Creative Practice
  8. Implementation in Creative Computing Courses
  9. Course Contexts
  10. Supervision Practices
  11. AI-Augmented Reflection
  12. iReflect and Automated Reflective Feedback
  13. ReflexAI: Prompt-Engineered LLM Feedback
  14. Knowledge Graph--Enhanced LLM Feedback
  15. Evaluation and Findings
  16. ...and 2 more sections

Figures (1)

  • Figure 1: The Holistic Cognitive Development (HCD) framework. The inner learning cycle comprises four iterative activities---Thinking, Creating, Criticizing, and Reflecting. The outer ring represents the supervision style of balanced supportive autonomy, combining Autonomy, Ownership, and Scaffolding. Arrows from the outer ring into the cycle indicate how supervision shapes and supports each learning activity.