  English remains the language of choice for database courses and widely used
for instruction in nearly all South African universities, and also in many
countries. Novice programmers of native origins are mostly taught Structured
Query Language (SQL) through English as the medium of instruction.
Consequently, this creates a myriad of problems in understanding the syntax of
SQL as most native learners are not too proficient in English. This could
affect a learner's ability in comprehending SQL syntaxes. To resolve this
problem, this work proposes a tool called local language narrations
(Local-Nar-SQL) to SQL that uses a type of Finite Machine, such as a Jumping
Finite Automaton to translate local language narratives into SQL queries.
Further, the generated query extracts information from a sample database and
presents output to the learner. This paper is an extension of work originally
presented in a previous study in this field. A survey involving 145
participants concluded that the majority found Local-Nar-SQL to be helpful in
understanding SQL queries from local languages. If the proposed tool is used as
a learning aid, native learners will find it easier to work with SQL, which
will eliminate many of the barriers faced with English proficiencies in
programming pedagogies.
