In the market segmentation of festival attendees’ application activity, students will review a mini-lecture material related to market segmentation, target marketing, and event positioning. Students will then apply the concepts of marketing segmentation, target marketing, and event positioning by analyzing data collected from an international music festival to establish the target market of the international music festival.

Sponsorship management is activities that an event organization engages in to secure support from sponsors and manage the interests of sponsors at the event. The organizer and sponsor are jointly interested in successfully operating events for their mutual benefit. This section provides an overview of sponsorship management for events. The differences between sponsorship and advertising were compared for their strengths and weaknesses. The sponsorship management of a social event was discussed from the prospective from the perspective of organizers and sponsors. A case study on an LGBT+ event provided a case problem for how to construct a social media sponsorship package.

Volunteer management is an integral part of any event that relies on volunteer contributions. Managing volunteers for events is related to three related domains: events, human resources, and volunteering. Each of the domains is discussed for its relation to volunteer management in the context of a sporting event. The practice of managing volunteers is considered in terms of its phases. A real-life case is provided so that students can apply their understandings of volunteer management in resolving the case problems.

Financial management helps an event planning operation to achieve a profitable future in the competitive business environment. Astute financial management involves securing, allocating and controlling financial resources held by the operation. Good budgeting practices ensure a successful outcome of an event that meets financial objectives. A real-life case study is provided for students to apply financial management principles.

This unit is designed to support instructors as they guide students through the complex analytical, rhetorical, and research skills required to write advanced argumentative essays in a class setting similar to English 1302. Students will need these skills to succeed in most college courses, no matter what their major field of study may be. Content-wise, this unit first focuses on foundational research skills. Students will develop an open-ended, researchable question that guides them through a research proposal and an annotated bibliography, all while attending to source credibility. Building on this research, the unit then moves through the three core forms of argument: the Classical Argument, the Toulmin Argument, and the Rogerian Argument. Lesson presentations, assignments, and other instructional resources are included for each argument type.

Author: Kimberly Stelly
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

This unit is designed to support instructors as they guide students through the complex analytical, rhetorical, and research skills required to write advanced argumentative essays in a class setting similar to English 1302. Students will need these skills to succeed in most college courses, no matter what their major field of study may be. Content-wise, this unit first focuses on foundational research skills. Students will develop an open-ended, researchable question that guides them through a research proposal and an annotated bibliography, all while attending to source credibility. Building on this research, the unit then moves through the three core forms of argument: the Classical Argument, the Toulmin Argument, and the Rogerian Argument. Lesson presentations, assignments, and other instructional resources are included for each argument type.

Author: Kimberly Stelly
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

This resource contains a news article about using algorithms to stop gerrymandering and a lesson plan to pair with the article.Students make predictions, calculator confidence intervals, and discover the Law of Large Numbers via simulation. This lesson can be closed with a discussion of the Central Limit Theorem. This activity aligns with MATH 1342 Learning Outcome 5: Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables and Learning Outcome 6: Describe and compute confidence intervals.

This resource contains a news article and a facilitation guide. Students play the game “Let’s Make a Deal” to explore the underlying probability that guides the optimal strategy for contestants. This activity aligns with MATH 1342 Learning Outcome 4: Explain the role of probability in statistics.

This resource contains a news article, probability table, statistical study skill, and facilitation guide. Students investigate the role of statistics and mathematical modeling in football analysis. This activity aligns with MATH 1342 Learning Outcome 1: Explain the use of data collection and statistics as tools to reach reasonable conclusions.

This resource features two lesson plans: "Reading Critically for Bias and Tone" and "Reading Critically for Propaganda Techniques." Both of these lessons are designed to help students analyze authors' viewpoints and biases, as well as the general use of persuasive tactics in texts. Through group work, activities, and individual essays, students learn to identify and analyze elements such as word choice, tone, omissions, and propaganda techniques (i.e. straw man arguments, bandwagon appeals, etc.). The resource includes detailed assignment expectations, learning objectives, lesson preparation guidelines, and downloadable worksheets to support classroom implementation.

Author: Sharon Haigler
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

This resource is a template for designing a faculty professional development series to help faculty apply best practices for licensing, curating, and organizing OER to be presented in a student-friendly environment.   This version incles the lesson plans for the Session 1:  Licenses, Attirbutions and Organization.All six lesson plans will be completed by Sept 2023.  The plans may be copies to PowerPoint Slides or uses for handouts during the sessions. 

General Biology is intended to leave the student with an integrated view of the living world including the nature of sciences, evolution of biological organization, composition and organization of living substances, metabolism, control, reproduction, heredity and ecological relationships. This class meets the A.A. degree lab science requirement in the State of Washington.Login: guest_oclPassword: ocl

A three-quarter general chemistry sequence primarily for science, pre-professional, and engineering students. The CHEM& 161/162/163 series introduces the basic concepts of chemistry: atomic structure and bonding, periodicity, physical measurement, quantitative relationships, chemical reactivity, oxidation and reduction, stoichiometry, ideal gas laws, aqueous solutions, colligative properties, intermolecular forces, structure of matter, equilibrium, acid/base topics, kinetics, thermodynamics, electrochemistry, nuclear chemistry, qualitative analysis, d-block metals and coordination chemistry, and an introduction to organic chemistry.Login: guest_oclPassword: ocl

Emphasis will be placed upon application of psychological knowledge to daily situations, and upon accessing and assessing information from a variety of sources about behavior. Skills in scientific reasoning and critical thinking will be developed during this course. Areas of psychology to be included are: research methods, neuroscience, human development, perception, consciousness, learning, memory, intelligence, motivation, emotion, personality, psychological disorders, psychotherapy, stress and health, and social psychology.Login: guest_oclPassword: ocl

This lesson centers around the How AI Works: Creativity and Imagination? video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Diffusion models generate images. Diffusion AI converts an image to noise, and trains an AI to reverse the process. In this lesson, students learn how AI can generate images, then explore a diffusion AI widget. Finally, the class wraps up with a discussion about whether or not these models are creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Many of our readers will no doubt already be familiar with MIT˘ď‹ď_s excellent OpenCourseWare (OCW), which offers free college-level curricula online to the public. The OpenCourseWare site is well worth a browse, as it offers courses on a variety of useful and engaging subjects such as business, health and medicine, mathematics, fine arts and science. This particular course, which was originally offered to undergraduate students in the spring of 2012, looks at the science behind global warming. Content includes lecture notes, assignments and student projects. The content could be used as a springboard for instructors teaching similar classes, or may prove useful to curious individuals looking to learn more about this timely and important topic.

The projects in this guide use a student-driven approach to learning. Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from machine learning models to video games—to demonstrate their learning.

This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society.

This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society. Several key approaches were taken into consideration in the design of these projects. Understanding these approaches will support both your understanding and implementation of the projects in this guide, as well as your own work to design further activities that integrate AI education into your curriculum.

In this guide, students’ exploration of AI is framed within the context of ethical considerations and aligned with standards and concepts, and depths of understanding that would be appropriate across various subject areas and grade levels in K–12. Depending on the level of your students and the amount of time you have available, you might complete an entire project, pick and choose from the listed activities, or you might take students’ learning further by taking advantage of the additional extensions and resources provided for you. For students with no previous experience with AI education, exposure to the guided learning activities alone will create an understanding of their world that they likely did not previously have. And for those with some background in computer science or AI, the complete projects and resources will still challenge their thinking and expose them to new AI technologies and applications across various fields of study.