次要數據收集在這裡完成。二次數據收集法是研究者從已有的研究證據中收集數據，而不是直接從參與者那裡收集數據(Creswell, 2003)。這種數據收集方法被認為是可行的，因為研究人員很難直接接觸到數據收集的參與者。在數據收集方面有一點餘地。雖然大部分數據來自同行評審的期刊文章，但也有必要使用覆盆子派基金會網站和大學網站等網站收集數據進行案例研究。對於文獻綜述，數據收集自同行評審的數據期刊。用Arduino school projects, Arduino university projects, Raspberry in K12等關鍵詞進行搜索。研究數據來自於諸如穀歌scholar，大學數據庫搜索等網站。
案例分析以比較的方式進行。正如研究人員所說，使用多個案例研究有助於比較不同的變量(Creswell, 2003)。在本研究工作中，變量是基於案例研究的變量，如學習結果、學習挑戰、學生在學習中的項目等。研究的重點是批判性地分析四個不同的案例研究，他們如何利用嵌入式系統的工作原理，如Arduino和Raspberry Pi，在應用程序中提高他們的學習。對四個項目的分析主要是針對RMIT課程提出建議。本研究僅說明為何將其整合進RMIT課程可能是一個很好的選擇，但並沒有解決RMIT在整合過程中可能面臨的任何現實問題。
Secondary data collection is done here. Secondary data collection method is where the researcher collects data from existing research evidences instead of directly collecting data from the participants (Creswell, 2003). This data collection method was considered feasible as it would have been difficult for the researcher to directly reach out to participants in data collection. A little leeway was taken with respect to data collection. While most of the data was collected from peer reviewed journal articles, it was also necessary to use websites such as that of the Raspberry Pi foundation website and also the university websites to collect data for the case study. For the literature review, data was collected from peer reviewed data journals. The search was conducted with key words such as Arduino school projects, Arduino university projects, Raspberry in K12, etc. The research data was collected from sites such as google scholar, the university database search.
The case study analysis is conducted in a comparative style. As researchers argue, the use of multiple case studies lends itself to comparison of different variables (Creswell, 2003). In this research work, the variables are that of the case study based ones such as the learning outcomes, the learning challenges, the student projects in learning and more. The research focuses on critically analysing four different case studies on how they have made use of the embedded systems works such as the Arduino and Raspberry Pi in applications that enhance their learning. The analysis of four projects is mainly focused on presenting recommendations for the curriculum of RMIT. The research only presents why it could be an excellent choice to integrate in RMIT curriculum but does not address any real world problems that RMIT could face in incorporating them.