Concurrent processing in cloud-based AppInventor development environment

AppInventor (AI) has recently become the language of choice for learning to program. How suitable is it for teaching undergraduates? How efficient are the programs that are developed with AI? Is it likely to replace Andoid development with the Android Development Tools? How can AI Apps be made to execute as efficiently as Possible? AI is an innovative approach to learning to program and has reduced typical development time by 90%. This paper examines the reasons for AI’s popularity as a first programming language, the inherent inefficiencies and the way in which the lack of threads can be overcome.

AppInventor (AI) has recently become the
language of choice for learning to program.
How suitable is it for teaching undergraduates?
How efficient are the programs that are
developed with AI? Is it likely to replace
Andoid development with the Android
Development Tools? How can AI Apps be
made to execute as efficiently as Possible? AI
is an innovative approach to learning to
program and has reduced typical development
time by 90%. This paper examines the reasons
for AI’s popularity as a first programming
language, the inherent inefficiencies and the
way in which the lack of threads can be
overcome.