During Instruction
Introduction

As in all good data collection scenarios, the more information we can
collect the better our conclusions will be. A good data set will be carefully
and honestly selected and range across differing sources in an effort
to have any biases cancel out and to triangulate our conclusions. During
the teaching process, you can collect information from three sources:
the students, your peers (or a consultant), and yourself. Each has its
strengths and weaknesses. The students are closely and personally involved
in the process and might find it difficult to be objective. In addition,
they rarely have any training in observation, recording, or evaluation
and might be easily influenced by irrelevant points. But, on the other
hand, they have more data than any other source since, hopefully, they
attend class and pay attention. In a sense, the same might actually be
said for your peers: if they have not had training in observation or do
not have a structured format to follow, they might be more concerned with
the accuracy of the content—after all, that is their primary interest—and
not focus on your teaching strategies. But if they have had teaching experience,
they could be excellent sources of ways to deliver the material and of
traps to avoid. Consultants from teaching centers may not know the course
content, but they are experts in delivery. Lastly, we can use our own
insight into ourselves to help us improve our teaching, if, indeed, we
can stand back and be honest.
Assessing Instructional Effectiveness During Class is divided into two parts: