  Data analysis at the LHC has a very steep learning curve, which erects a
formidable barrier between data and anyone who wishes to analyze data, either
to study an idea or to simply understand how data analysis is performed. To
make analysis more accessible, we designed the so-called Analysis Description
Language (ADL), a domain specific language capable of describing the contents
of an LHC analysis in a standard and unambiguous way, independent of any
computing frameworks. ADL has an English-like highly human-readable syntax and
directly employs concepts relevant to HEP. Therefore it eliminates the need to
learn complex analysis frameworks written based on general purpose languages
such as C++ or Python, and shifts the focus directly to physics. Analyses
written in ADL can be run on data using a runtime interpreter called CutLang,
without the necessity of programming. ADL and CutLang are designed for use by
anyone with an interest in, and/or knowledge of LHC physics, ranging from
experimentalists and phenomenologists to non-professional enthusiasts.
ADL/CutLang are originally designed for research, but are also equally intended
for education and public use. This approach has already been employed to train
undergraduate students with no programming experience in LHC analysis in two
dedicated schools in Turkey and Vietnam, and is being adapted for use with LHC
Open Data. Moreover, work is in progress towards piloting an educational module
in particle physics data analysis for high school students and teachers. Here,
we introduce ADL and CutLang and present the educational activities based on
these practical tools.
