期刊名称:Electronic Proceedings in Theoretical Computer Science
电子版ISSN:2075-2180
出版年度:2019
卷号:295
页码:52-64
DOI:10.4204/EPTCS.295.4
语种:English
出版社:Open Publishing Association
摘要:While functional programming is an efficient way to express complex software, functional programming languages have a steep learning curve. Haskell can be challenging to learn for students who were only introduced to imperative programming. It is important to look for methods and tools that may reduce the difficulty of learning functional programming. Finding methods to help students requires understanding the errors that students make while learning Haskell. There are several previous studies revealing data about Haskell compiler errors, but they do not focus on the analysis of the compiler errors or they only study a certain kind of compiler errors. This study investigates compilation errors of novice Haskell students and make suggestions on how their learning efficiency can be improved. Unlike previous studies we focus on uncovering the root problems with the student solutions by analysing samples of their submissions.