  Quite recently a teaching model, called "No-Clash Teaching" or simply
"NC-Teaching", had been suggested that is provably optimal in the following
strong sense. First, it satisfies Goldman and Matthias' collusion-freeness
condition. Second, the NC-teaching dimension (= NCTD) is smaller than or equal
to the teaching dimension with respect to any other collusion-free teaching
model. It has also been shown that any concept class which has NC-teaching
dimension $d$ and is defined over a domain of size $n$ can have at most $2^d
\binom{n}{d}$ concepts. The main results in this paper are as follows. First,
we characterize the maximum concept classes of NC-teaching dimension $1$ as
classes which are induced by tournaments (= complete oriented graphs) in a very
natural way. Second, we show that there exists a family $(\cC_n)_{n\ge1}$ of
concept classes such that the well known recursive teaching dimension (= RTD)
of $\cC_n$ grows logarithmically in $n = |\cC_n|$ while, for every $n\ge1$, the
NC-teaching dimension of $\cC_n$ equals $1$. Since the recursive teaching
dimension of a finite concept class $\cC$ is generally bounded $\log|\cC|$, the
family $(\cC_n)_{n\ge1}$ separates RTD from NCTD in the most striking way. The
proof of existence of the family $(\cC_n)_{n\ge1}$ makes use of the
probabilistic method and random tournaments. Third, we improve the
afore-mentioned upper bound $2^d\binom{n}{d}$ by a factor of order $\sqrt{d}$.
The verification of the superior bound makes use of Johnson graphs and maximum
subgraphs not containing large narrow cliques.
