Designing Instructions using Self-Determination Theory to Improve Motivation and Engagement for Learning Craft

Title of the Paper

Designing Instructions using Self-Determination Theory to Improve Motivation and Engagement for Learning Craft

Paper Information

• Subject Area: Human-Computer Interaction (HCI), Self-Determination Theory (SDT), Digital Instruction Design Research
• Keywords: Instruction design, Self-Determination Theory (SDT), Digital learning, Craft skill learning, Intrinsic motivation, Augmented reality, Psychological well-being, Craft making, Perceived competence, Multimedia content design

Research Background and Issues

• Problems and Challenges:

  • As skilled workers in industrialized nations retire and the number of artisans declines, training new craft learners becomes increasingly critical.
  • Most current digital instruction research focuses on operational efficiency and productivity, neglecting the impact of instruction design on learners' psychological states and intrinsic motivation.
  • Learning environments that overlook psychological well-being drivers may lead to increased learner stress, disengagement, or even professional burnout.

• Significance:

  • Self-Determination Theory (SDT) indicates that fulfilling learners' psychological needs (such as competence, autonomy, and relatedness) can enhance intrinsic motivation, learning outcomes, and task quality.
  • In craft skill learning, designing instructions with clear goals and enhancing learners' psychological well-being is particularly important due to the complexity and attention-demanding nature of craft processes.

• Research Motivation and Related Work:

  • Existing studies primarily focus on SDT optimization in classroom learning environments and e-learning but have not explored how SDT can be applied to digital instructions for manual craft tasks.
  • Craft instructions are typically step-by-step, suggesting that digital instruction design can benefit from incorporating clarity of goals, rationale, and emotional acknowledgment.

Solution

• Proposed Method:

  • The study applies SDT principles (goal clarity, rationale explanation, and emotional acknowledgment) to the design of digital craft instructions.
  • Multimedia technologies, including videos, photos, and text descriptions, are used to design three levels of instructional schemes for experimental comparison.

• Innovations:

  • This is the first experiment to demonstrate that SDT factors can enhance learners' sense of competence, intrinsic motivation, and task quality in craft instruction.
  • The study explores how optimized instruction content can improve learning outcomes without increasing cognitive load.

• Implementation Steps and Key Techniques:

  1. Experimental Design: Provide three groups of instructional conditions:
     • L0 (Basic Instructions): Basic text and video content.
     • L1 (Goal Clarity): Add goal descriptions and before-and-after state photos to the text.
     • L2 (Rationale and Emotional Acknowledgment): Include rationale explanations (necessity of steps) and emotional acknowledgment (encouragement during challenging processes), combined with before-and-after state photos and videos.
  2. Experimental Setup:
     • Use projection-based augmented reality technology to project instructional content onto the workspace.
     • Record learners' behavioral trajectories and evaluate their outcomes during the experiment.
  3. Evaluation Methods:
     • Use questionnaires to assess learners' perceived competence, autonomy, intrinsic motivation, and stress levels.
     • Use expert ratings to evaluate the quality of completed tasks.

Research Outcomes

• Specific Results:

  • Enhanced Perceived Competence: Learners' perceived competence significantly improved with increasing instruction levels (L0→L2) (p=0.011).
  • Improved Intrinsic Motivation: L2 instructions significantly boosted learners' intrinsic motivation (p=0.021).
  • Reduced Instruction Usage Frequency: Instructions incorporating goal clarity and rationale elements significantly reduced the frequency of learners revisiting the instructions (p<0.001).
  • Improved Task Quality: L2 instructions enhanced the quality scores of final tasks (linear relationship significant, p=0.05).

• Advantages and Comparisons:

  • Compared to traditional digital instructions (L0), introducing goal clarity (L1) and rationale + emotional acknowledgment (L2) in instruction design improved learning outcomes, engagement, and final task quality.
  • The application of SDT principles did not significantly increase cognitive load, demonstrating that instructional improvements do not impose additional stress on learners.

• Limitations and Future Directions:

  • Limitations:
    • The sample size (30 participants) was relatively small, potentially influenced by individual differences.
    • The study did not extend to more complex instruction setups, such as virtual reality or interactive augmented learning.
  • Future Research Directions:
    • Explore methods to fulfill autonomy and relatedness needs to further optimize craft instruction design.
    • Expand SDT applications to new domains such as multi-user learning environments and advanced skill training.
    • Conduct deeper comparative analyses of the effects of different instructional media types, such as 3D models.

The paper demonstrates the feasibility of adjusting instructional content design to meet learners' psychological needs, providing theoretical guidance and practical insights for digital craft skill training.