Description: Article describes accomplishments as Chair during the year. Four accomplishments are mentioned: i) Actuarial Research Conference ii) Early Career Award, iii) Establishment of Outstanding Educator Award, iv) Push to create surveys from the section containing a reservoir of ideas that can be used for webinars, podcasts, etc.

Description: Traditionally the SOA formulates pedagogic excellence in terms of the Marzano Taxonomy. For example, the "analysis level" consisting of generalization, specification, classification, contrast, matching, and error identification, is considered superior to the "retrieval level" consisting of rote memorization such as recognition, recall, and using. In this presentation, we first show that pedagogic excellence can be equivalently, but more simply, formulated in terms of executive function and goal-setting. Here executive function refers to problems requiring multiple mental modalities - such as, formal, verbal, computational, and graphical - for their solution. Goal-setting refers to the skillful breakup of a complex problem into a sequence of subgoals each of which is clearly formulated, challenging, but achievable timely. Light examples from the literature illustrate these concepts. Five "challenging FM problems": reinvestment, refinancing, multiple rate/deposit problems, pricing deferred bonds using a term structure, and obscure loan problems, illustrate the following fundamental techniques of goal-setting and executive function: i) a fellowship approach to teaching preliminary exam material, ii) using subgoals to give difficult homework, iii) alternating between different mental modalities to achieve elegant brevity in solutions, iv) goal-setting reflecting familiar vs. new, and v) skillful definition of unit subgoals.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: The article describes principles for optimal sub-tasking of a project goal. Two experiments each one comparing different approaches are presented. A summary of principles for optimal goal setting presents seven key points: i)levels of outcome goals should be recognizable and lack ambiguity; ii) each subtask should be atomic, i.e. not be capable of being broken up into further subtasks, iii) the subtasks should be uniform, lacking ambiguity, so that any new trainee could master it without the need for further guidance; iv) each subtask should be attainable in a reasonable amount of time; v) mentor feedback should be provided during the initial stages of learning or training; vi) upon mastery of each subtask trainees should be encouraged to maximize their overall score; vii) after mastery of individual subtasks, while attempting to maximize scores, trainees should be provided with a mixture of easy, intermediate, and difficult tasks.