Using breakout physical computing toolkits, such as Arduino, has become a common practice of both engineers and non-engineers alike. While these development platforms solve many low-level challenges, getting started with embedded system prototyping may seem overwhelming for novices. Choosing novice friendly sensors can make a substantial difference. In this paper, a framework for selecting sensors for novice use is presented and accessibility obstacles are defined. Six learning barriers in end-user programming are adopted for evaluating obstacles effecting on novice usability. Four properties for evaluating sensors and to overcome the barriers are presented: protocol complexity, connection type and component size, understandable real-life phenomena measured and documentation. Sensor protocol complexity and documentation are identified as key factors affecting implementation challenges.
SeveranceC.Massimo Banzi: building arduino. Computer2014;
47: 11–12.
2.
KarvinenKKarvinenT.IoT rapid prototyping laboratory setup. Int J Eng Educ2018;
34: 263–272.
3.
SorianoAMarinLVallesMet al.
Low cost platform for automatic control education based on open hardware. IFAC Proc Vol2014;
43: 9044–9050.
4.
BliksteinP. Gears of our childhood: constructionist toolkits, robotics, and physical computing, past and future. In: Proceedings of the 12th international conference on interaction design and children, New York, USA, 24–27 June 2013, pp.173–182. New York, NY: ACM.
5.
KarvinenKTikkaTPraksJ.Using hobby prototyping boards and commercial-off-the-shelf (COTS) components for developing low-cost, fast-delivery satellite sub-systems. J Small Satell (JoSS)2015;
4: 1–14.
6.
ParikhC. Introducing Arduino platform to Sophomore’s using an apt recipe. In: Proceedings of the 2014 ASEE North-Central section conference, Oakland, USA, 4–5 April 2014, pp.1–8.
7.
BonariniAMatteucciMMigliavaccaMet al.
R2P: an open source hardware and software modular approach to robot prototyping. Robot Autonom Syst2014;
62: 1073–1084.
8.
SadlerJA.The anatomy of creative computing: enabling novices to prototype smart devices. Doctoral Dissertation, Stanford University, 2016.
9.
BoothT. Making progress: barriers to success in end-user developers’ physical prototyping. In: Visual languages and human-centric computing (VL/HCC) 2015 IEEE symposium, Atlanta, Georgia, USA, 18–22 October 2015, pp.299–300. Piscataway, New Jersey, USA: IEEE.
10.
BoothTStumpfS. End-user experiences of visual and textual programming environments for Arduino. In: International symposium on end user development, Copenhagen, Denmark, 10–13 June 2013, pp.25–39. Berlin, Heidelberg: Springer.
11.
KarvinenK.Teaching robot rapid prototyping for non-engineers – a minimalistic approach. World Trans Eng Technol Educ2016;
14: 341–346.
12.
JamiesonPHerdtnerJ. More missing the boat – Arduino, Raspberry Pi, and small prototyping boards and engineering education needs them. In: Frontiers in education conference (FIE), IEEE, Texas, USA, 21–24 October 2015, pp.1–6.
13.
CuéllarMPPegalajarMC.Design and implementation of intelligent systems with LEGO mindstorms for undergraduate computer engineers. Comput Appl Eng Educ2014;
22: 153–166.
14.
KimSHJeonJW.Introduction for freshmen to embedded systems using LEGO mindstorms. IEEE Trans Educ2009;
52: 99–108.
15.
PearceJM.Building research equipment with free, open-source hardware. Science2012;
337: 1303–1304.
16.
KelleherCPauschR.Lowering the barriers to programming: a taxonomy of programming environments and languages for novice programmers. ACM Comput Surv)2005;
37: 83–137.
17.
RobinsARountreeJRountreeN.Learning and teaching programming: a review and discussion. Comput Sci Educ2003;
13: 137–172.
18.
PaneJFMyersBA.Studying the language and structure in non-programmers’ solutions to programming problems. Int J Hum-Comput Stud2001;
54: 237–264.
19.
KoAMyersBAAungHH. Six learning barriers in end-user programming systems. In: Visual languages and human centric computing, 2004 IEEE Symposium, Rome, Italy, 26–29 September 2004, pp.199–206. Piscataway, New Jersey, USA: IEEE.
20.
AlqadiBSMaleticJI. An empirical study of debugging patterns among novices programmers. In: Proceedings of the 2017 ACM SIGCSE technical symposium on computer science education, Seattle, USA, 8–11 March 2017, pp.15–20. New York, NY: ACM.
21.
AhmadzadehMEllimanDHigginsC.An analysis of patterns of debugging among novice computer science students. SIGCSE Bull2005;
37: 84–88.
22.
WinslowLE.Programming pedagogy – a psychological overview. SIGCSE Bull1996;
28: 17–22.
23.
DennyPLuxton-ReillyATemperoEet al. Understanding the syntax barrier for novices. In: Proceedings of the 16th annual joint conference on Innovation and technology in computer science education, Darmstadt, Germany, 27–29 June 2011, pp.208–212. New York, NY: ACM.
24.
KarvinenKKarvinenTValtokariV.Make: sensors: a hands-on primer for monitoring the real world with Arduino and raspberry pi. 1st ed.
San Francisco, CA:
Maker Media, 2014.
25.
LahtinenEAla-MutkaKJärvinenH-M.A study of the difficulties of novice programmers. SIGCSE Bull2005;
37: 14–18.
SadlerJDurfeeKShluzasLet al. Bloctopus: a novice modular sensor system for playful prototyping. In: Proceedings of the ninth international conference on tangible, embedded, and embodied interaction, Stanford, USA, 15 January 2015, pp.347–354. New York, NY: ACM.
29.
JamiesonP. Arduino for teaching embedded systems. Are computer scientists and engineering educators missing the boat? In: Proceedings of the 2010 FECS world congress in computer science, Las Vegas, USA, 12–15 July 2010, pp.289–294.
