Abstract
The Hong Kong Education Bureau has released the latest strategy on Information Technology Education in 2015. It emphasized on provoking Computational Thinking (CT) by utilization of coding. Thus, new visual and tangible programming tools, Single Board Computer (SBC), become an irreplaceable tool for this education reform.
This research involves two important goals. The first issue was to explore the usefulness of SBCs towards coding learning motivation and influence on learning experience in a computer lesson. The second aim was to measure the effectiveness of enhancing CT skills using SBCs. A mixed research method was used in this research, with a total of 14 undergraduate students with diverse major areas.
Pre- post- test and questionnaire were carried out among learners to evaluate the CT skills enhancement. Besides, the lesson design framework followed the 6E learning model to maximize the expected learning outcome. HaloCode was chosen based on unique AI features supported. Collected data were analyzed using Statistical Package for the Social Sciences (SPSS) software. This research used descriptive analysis, t-test, reliability analysis, and correlational analysis. For constructing a complete picture of this research, a semi-structured interview was also carried out to supplement the blindspot towards statistical data.
After the data analysis, several findings can be highlighted. Most of the learners became more motivated towards coding based on the joyful learning experience by using HaloCode. Additionally, their CT skills are significantly enhanced after the teaching intervention. They all welcomed to adopt SBC in coding because of the simplification of its design and learning experience.
This research involves two important goals. The first issue was to explore the usefulness of SBCs towards coding learning motivation and influence on learning experience in a computer lesson. The second aim was to measure the effectiveness of enhancing CT skills using SBCs. A mixed research method was used in this research, with a total of 14 undergraduate students with diverse major areas.
Pre- post- test and questionnaire were carried out among learners to evaluate the CT skills enhancement. Besides, the lesson design framework followed the 6E learning model to maximize the expected learning outcome. HaloCode was chosen based on unique AI features supported. Collected data were analyzed using Statistical Package for the Social Sciences (SPSS) software. This research used descriptive analysis, t-test, reliability analysis, and correlational analysis. For constructing a complete picture of this research, a semi-structured interview was also carried out to supplement the blindspot towards statistical data.
After the data analysis, several findings can be highlighted. Most of the learners became more motivated towards coding based on the joyful learning experience by using HaloCode. Additionally, their CT skills are significantly enhanced after the teaching intervention. They all welcomed to adopt SBC in coding because of the simplification of its design and learning experience.
| Original language | English |
|---|---|
| Qualification | Bachelor of Education (Honours) |
| Supervisors/Advisors |
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| Publication status | Published - 2020 |
Keywords
- Honours Project (HP)
- Bachelor of Education (Honours) (Secondary) – Information and Communication Technology (Five-year Full-time)
- Programme code: A5B057
- Course code: INT4901
