Description: A typical course has some "hard" parts. These "hard" parts are the places where weaker students begin to fail, lose interest, and give up. The paper introduces a metric by which to evaluate each course topic. High metric values indicate "hard parts" of courses. The paper recommends spending more course time on hard parts and less course time on easy parts. The paper also recommends using disclosure: Tell students - this part of the course is "hard" and they may feel uncomfortable which is why more time is being spent on it." This approach to hard parts works! Failure rates are significantly reduced, while retention, satisfaction, and student scores improve.

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: The article discusses the use of the keyword strategy in teaching. The literature with a negative view of keywords is reviewed and responded to by advocating keywords with multiple meanings supplemented with relevant instructional guidance. Numerous examples are presented from the SOA preliminary exams. Additionally, advanced use of keywords to problems not having them are presented.

Description: A description of a new award for outstanding educators in actuarial science.

Description: The incoming E&R chair for the coming year reflects on past accomplishments of the E&R council, acknowledges with thanks contributors, and looks forward to continuation in the coming year.

Description: This presentation proposes a solution to the student actuarial paradox “I mastered the syllabus but failed the exam,” by utilizing the two-dimensional syllabus vehicle which pedagogically focuses on the two dimensions of content and problem difficulty. This presentation advocates the PMR characterization of three levels of problems difficulty: Plug-ins (easy), Monkey-wrench (intermediate), and Research-type(hard) questions. PMR was developed by examining difficulty levels in SOA exams, and problems of various software vendors. The author's students routinely score high on the SOA FM exam; it is hoped that these methods will assist other instructors in their quest for good pedagogy. Very briefly: “Plug-ins,” refer to multi-part problems, for example, calculating the price of an annuity that is first increasing and then level; “Monkey-wrench” problems specifically refer to plug-in multi-part problems where one component is a monkey-wrench, an issue the candidate has not previously encountered. It might be a non-typical modeling or it might be a non-typical algebraic simplification or it might be an unexpected integration of distinct modules in a manner that the candidate has not yet seen. “Research-type questions” refer to problems requiring some type of experimentation for example, looking at initial cases, seeing a pattern and then applying methods

Description: In this article, we aim to outline the advantages of smaller programs and gather opinions on the challenges these programs face in their efforts to emphasize these strengths. For our purposes, we define small actuarial programs as those with a relatively low student enrollment count. The following are three key advantages of small programs, which are similar to those of small colleges:(a) Enhanced benefits from small class size; (b) Adaptable curriculum; (c) Increased opportunities for each student. A variety of similar other issues are also discussed with recommendations, challenges, and invitations for further dialogue.

Description: A project approached correctly has a higher chance of succeeding and being more efficient. Goal-setting is one key to a successful project. In this lecture we give a more detailed description of good goal setting and avoid ambiguous catchy terms.

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.

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.