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Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

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Design and Validation of an Augmented Reality Teaching System for Primary Logic Programming Education.

Chi-Yi Tsai¹, Yu-Cheng Lai¹

¹Department of Electrical and Computer Engineering, TamKang University, 151 Yingzhuan Road, Tamsui District, New Taipei City 251, Taiwan.

Sensors (Basel, Switzerland)

|January 11, 2022

Summary

This study introduces an augmented reality (AR) system for teaching programming logic to elementary students. The AR approach significantly improved learning effectiveness and motivation compared to traditional methods, easing the transition to middle school programming.

Keywords:

analysis of covariance augmented reality learning effectiveness learning motivation logic programming teaching

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Area of Science:

Educational Technology
Computer Science Education
Human-Computer Interaction

Background:

Programming education is increasingly mandated in Taiwan's K-12 curriculum, yet elementary preparation is inconsistent.
A gap exists in foundational programming logic skills for middle school freshmen due to varied elementary instruction.
Bridging this gap requires innovative pedagogical approaches for early programming education.

Purpose of the Study:

To develop and evaluate an augmented reality (AR) logic programming teaching system for primary students.
To assess the system's effectiveness in enhancing programming logic skills and learning motivation.
To provide an articulation curriculum for seamless transition into middle school programming.

Main Methods:

A quasi-experimental design was employed with 42 fifth and sixth graders.
An AR-based logic programming system with game-based materials was implemented.
Learning effectiveness and motivation (ARCS model) were measured via pre/posttests and questionnaires.

Main Results:

Both AR and traditional learning groups showed significant learning gains.
The AR group demonstrated superior posttest performance in learning effectiveness.
The AR group exhibited significantly higher learning motivation, especially in Attention, according to the ARCS model.

Conclusions:

The proposed AR logic programming teaching system effectively enhances students' learning outcomes.
AR technology significantly boosts elementary students' motivation for learning programming logic.
This system offers a viable solution for improving programming education transitions from primary to secondary levels.