With the advances in technology, wordlists retrieved from computer corpora have become increasingly popular in recent years. The lexical items in those wordlists are usually selected, according to a set of robust frequency and dispersion criteria, from large corpora of authentic and naturally occurring language. Corpus wordlists are of great value for language learning because words occurring with high frequency are very likely to be encountered in real life. Very little, however, has been reported regarding the applications of corpus wordlists in a Computer Assisted Language Learning (CALL) context. A vocabulary-building app, ColliCrush, is currently being developed on the basis of the Academic Collocation List (Ackermann & Chen, 2013), which consists of 2,468 of the most frequent and pedagogically relevant entries extracted from a 25-million-word academic corpus. Collocation is one of the areas that pose great challenges for second language learners, even at advanced levels. Explicit learning through Mobile Assisted Language Learning (MALL) would therefore contribute to the acquisition of collocation competence outside of the classroom. In this paper, the rationale and design of this project will be described. Future direction for further development will also be discussed. [For full proceedings, see ED564162.]