Diverse Student Backgrounds Shape Learning Approaches in Engineering Programs

Why It Matters

Recognizing the varied backgrounds of learners allows educators and curriculum designers to develop more effective teaching methods and support systems. This user-centered approach can lead to deeper learning and better preparation for professional practice.

Key Finding

The initial phase of this longitudinal study indicates that students' personal histories and demographics play a role in how they engage with their engineering and computer science studies, and the survey used is effective in capturing this information.

Key Findings

• The study confirmed that student backgrounds and experiences significantly influence their learning approaches.
• The pilot data provided insights into the demographic makeup of the student cohort and their initial modes of engagement with learning.
• The survey instrument was validated and refined based on the pilot data.

Research Evidence

Aim: How do students' prior experiences and demographic backgrounds influence their approaches to learning within engineering and computer science programs?

Method: Longitudinal survey and qualitative data collection (focus groups, interviews)

Procedure: A pilot survey using the Revised Study Process Questionnaire, supplemented with demographic and motivation questions, was administered to a cohort of engineering and computer science students. Data analysis focused on evaluating the collected data and understanding the student demographics.

Context: Higher education institutions offering Engineering, Software Engineering, and Computer Science programs.

Design Principle

Design for diversity: Recognize that users (students) come with varied backgrounds, and tailor experiences accordingly.

How to Apply

Before designing a new course or educational program, conduct research into the typical backgrounds and prior experiences of the target student demographic.

Limitations

This report represents the preliminary findings of a longitudinal study, and further data collection and analysis are required for comprehensive conclusions.

Student Guide (IB Design Technology)

Simple Explanation: Students learn differently based on what they already know and where they come from. Understanding this helps make teaching better.

Why This Matters: This research highlights that a one-size-fits-all approach to design, including educational design, is often ineffective. Understanding your users' contexts is key to successful design.

Critical Thinking: To what extent can generalized assumptions about student backgrounds be made, and at what point does individual variation necessitate highly personalized design interventions?

IA-Ready Paragraph: This research underscores the importance of user-centered design by demonstrating how diverse student backgrounds and prior experiences significantly shape learning approaches in technical fields. Understanding these user-specific factors is essential for developing effective educational strategies and, by extension, for designing any product or service that caters to a varied audience.

Project Tips

• When designing a product or service for a specific user group, consider researching their demographic and experiential profiles.
• Use surveys and interviews to gather information about user backgrounds and how these might influence their interaction with your design.

How to Use in IA

• Use this study to justify the importance of user research, particularly in understanding demographic and experiential factors that influence user behavior and needs.

Examiner Tips

• Demonstrate an awareness of how user background can influence design requirements and user testing outcomes.

Independent Variable: Student background and experience

Dependent Variable: Approaches to learning

Controlled Variables: Program of study (Engineering, Software Engineering, Computer Science), educational institution

Strengths

• Longitudinal study design allows for tracking changes over time.
• Mixed-methods approach (surveys, focus groups, interviews) provides a comprehensive view.

Critical Questions

• How can design practitioners effectively gather and interpret nuanced data on user backgrounds without resorting to stereotypes?
• What are the ethical considerations when using demographic data to inform design?

Extended Essay Application

• An Extended Essay could investigate how specific cultural backgrounds or prior work experiences influence user interaction with a particular technology or designed artifact.

Source

Student Expectations: The effect of student background and experience · 28th Australasian Association for Engineering Education (AAEE) Annual Conference · 2017