In principle very easy, but sesquipedalian in writing, especially at blackboards.
Use associativity, aka bracket flatness of $\bigwedge$ as a multinear function on forms
$$a\wedge (b\wedge (c\wedge d))=\bigwedge(a,b,c,d)$$ product rule $$d\bigwedge(a,b,c,d)= \sum_{i=1}^4 \ d_i\ \bigwedge(a,b,c,d)$$ where $d_i$ denotes a partial derivative to be applied at position $i$ and "all arguments except the $i^{th}$ kept constant",
complete antisymmetry, especially $$...\wedge \lambda \ a \wedge .... \wedge \mu \ a ... = 0$$ for any $a$ form and $\lambda, \mu$ scalars.
Now apply the $d$ per factor $a_i$ by a jump of $a_i \ dx^i$ to the left over $i-1$ factors $$d_i\ \bigwedge(a_1,a_2\dots,a_n)=(-1)^{i-1} d_1 \bigwedge(a_i, a_1,\dots , a_{i-1}, a_{i+1} , a_n)$$
and let the 2-form $$d (a_i dx^i ) = \sum_{k\neq i} \partial_k a_i dx^k \wedge dx^i $$
jump back to its original place.
All subforms forms of even degree can be shifted freely without sign change. So put is back to its original place.
In practice, one collects the product of all inner coefficients to the right as a single coefficient of a pure basis n-form $\bigwedge(dx^a\dots \ dx^z)$. The sum of these has to be sorted
Wedge[x_, y__] :> Signature[{x, y}] Sort[Wedge[x, y]]
It was Grassmans great ability of abstraction and Fubinis detailed analysis of multidimensional integrals, that established the principle of integrating $$\int\dots\int f(x) \bigwedge_{i}(dx_{i_k})$$ has always be done over the leftmost factor, differentiation creates a new left factor, and a permutation of the two leftmost factors changes signs by inverting the integration direction over the edges of a rectangle.
Of course, fundamentally critical against concepts difficult to teach, learn and apply correctly, the community of applied math users, especially physicists, has a more simple rule: use ordinary products of differentials of coordinates, just at hand, and apply the signs at the end of the calculation, by hand rules, left handed or right handed.
What is missing in the elementary definiton of Leibniz 1-d integral is Stokes theorem: What looks like a 1-d integral is an area integral over a 2-form
$$\int_a^b\ f(x) \ dx = \int_{a<x<b, 0 < y < f(x)} dx \wedge dy = \int_{-\infty}^\infty y f^{-1}(dy)$$ where $f^{-1}(\text{set})$ denotes the measure of all intervals along the total of the x-axis mapped by f onto the interval $dy$