Kevin Brown

Excellence in Teaching
CHEP Status: Active
CHEP Awarded: 07/30/2026

Badge Evidence | Completed Courses (4 Hours Each)

This course will provide an overview of career readiness including information and activities that may be incorporated into your courses. This course, which forms Part I of a two-part series, provides details about four specific career readiness skills: critical thinking/problem solving, verbal/written communications, teamwork/collaboration, and information technology skills. Additional thoughts and resources will also be provided to allow you to consider multiple ways to assist students in developing these skills in your courses.
Explore the dynamic and evolving landscape of artificial intelligence (AI) with this course designed to cater to a range of learners from beginners to those with some prior knowledge. Starting with AI's history and core concepts and distinguishing it from machine learning and deep learning, the course sets a solid foundation. Delve into practical AI applications such as natural language processing, computer vision, and robotics, and understand the ethical dimensions and biases in AI. The course advances into complex topics like generative adversarial networks and the interplay of AI with big data and quantum computing. Finally, envision AI's future influence in critical sectors like health care and finance, and you will be equipped with knowledge and skills to confidently navigate the future of AI.
This introductory course covers the essential roles of a teacher and the competencies required to be a successful instructor in an educational institution. Proven techniques and strategies for planning and preparation are presented and discussed. In addition, the course offers effective methods for conducting the first class meeting and delivering course content. This course provides a solid foundation for new instructors and serves as an excellent refresher for more experienced instructors.
The instructor is the real key to student retention at any educational institution. Instructors must keep focused on student motivation and retention each and every day of class. Developing strategies for retaining students throughout the entire training sequence is both complex and rewarding. All instructors should have the goal of seeing all of their students successfully complete their class. This course helps you reach that goal by helping you to understand your students and use proven motivation and retention techniques to keep them enrolled and engaged in the learning process.
This course will inform you of how careful lesson planning can help to ensure increased student engagement. Proper lesson planning will enable you to teach effectively and efficiently, and ultimately help students meet learning objectives. The information in this course will provide the framework for instructional development enabling you to properly structure a detailed, well thought-out lesson plan.
This course is intended to offer a practical explanation of how an instructor’s behaviors and choices can influence the motivation of students. It is not intended to be a theoretical or academic treatise about motivation. Module 1 offers useful tips that may help instructors to motivate students. Students’ security and autonomy are described as they influence motivation during instruction, questioning, activities, and evaluations. This is followed by a discussion of how motivation can be improved by enhancing students' sense of autonomy when making assignments, selecting instructional methods, implementing classroom procedures, and developing evaluations. In Module 2, intrinsic and extrinsic motivators are defined and compared. Finally, a variety of "miscellaneous motivators" are offered for instructors to consider.
This course will provide an overview of ChatGPT and how it might impact education. With an artificial intelligence (AI) language processing tool, there could be endless possibilities. However, like any other technology, its use in education is to be considered carefully, because learning will be affected. The course begins with an overview of the history of chatbots and artificial intelligence and goes on to discuss how to use ChatGPT, how teachers and students may use it, and the advantages and disadvantages of its use.
Your students are already using AI, and employers expect proficiency. Are you ready to guide them? This foundational course gives you a clear framework for working effectively with AI, helping you move from curious to confident. Rather than focusing on specific platforms that constantly evolve, you'll learn to navigate three fundamental ways humans interact with AI—Tell, Team, and Trust—while developing the three pillars of AI literacy that remain relevant as AI continues to advance. Through hands-on practice, you'll see how this framework connects to CTE fields. By the end, you'll have the language, understanding, and mindset to bring AI into your teaching thoughtfully, preparing students for today's AI-driven workplace while building your foundation for more specialized AI applications.
Your students will enter workplaces where artificial intelligence (AI) impacts hiring, daily tasks, and career advancement. Are you prepared to teach them not just how to use AI, but how to use it responsibly? This course builds directly on your AI Literacy Foundations knowledge, diving deep into the "Responsible Use" pillar. You'll develop practical skills for recognizing bias, ensuring fairness, and maintaining transparency when using AI. Through real-world scenarios, you'll learn to spot hidden bias, communicate AI use appropriately, and protect student data. By the end, you'll have a comprehensive ethical toolkit that guides every AI decision in your teaching and prepares students for responsible AI use in their careers. IMPORTANT: This course assumes foundational knowledge of AI concepts, the Tell-Team-Trust framework for AI interaction, and the three pillars of AI literacy. Without this foundation, you may find discussions of bias detection, ethical decision-making, and responsible AI practices difficult to apply in context. It is strongly recommended that you complete ED160: AI Literacy Foundations for CTE Educators before enrolling in this course.
Your students deserve lessons that reflect both industry relevance and innovative teaching. But curriculum development takes time you don’t have. This course shows you how to integrate AI into your planning and design workflow without sacrificing quality or professional standards. Building on your framework foundation and ethical toolkit, you’ll apply Tell and Team approaches to transform how you create lessons, activities, and assessments. You’ll learn to direct AI for efficient content creation, collaborate with AI for complex design challenges, and apply your ethics skills throughout the process. By the end, you’ll have an AI-integrated planning system that will help you save time creating the hands-on, industry-connected learning your students need. You’ll design better curriculum faster, with your expertise guiding every decision. IMPORTANT: This course assumes foundational knowledge of AI concepts, the Tell-Team-Trust framework for interaction, the three pillars of AI literacy, and ethical AI practices. It is strongly recommended that you complete ED160: AI Literacy Foundations for CTE Educators and ED161: AI Ethics, Bias, and Responsible Use before enrolling in this course.
Grading decisions carry weight. They determine who advances, who’s workplace-ready, who passes licensing exams. Your professional reputation depends on assessment quality, yet crushing volume makes thorough evaluation unsustainable. You’re working weekends to provide feedback that arrives too late. You’re worried about consistency when fatigue sets in. And valuable assessment data revealing what students actually need sits unexamined because there’s no time to analyze patterns. This course explores where AI supports assessment work without compromising professional judgment about student competency. You’ll learn to analyze patterns informing instruction, maintain consistent standards across submissions, and provide developmental feedback efficiently. By the end, you’ll have practical strategies for managing assessment volume while preserving the expertise-driven decisions that make grading meaningful. IMPORTANT: This course assumes foundational knowledge of AI concepts, the Tell-Team-Trust framework for interaction, the three pillars of AI literacy, and ethical AI practices. It is strongly recommended that you complete ED160: AI Literacy Foundations for CTE Educators and ED161: AI Ethics, Bias, and Responsible Use before enrolling in this course.
The classroom in an educational institution is often more than just chairs, books, and a white board. Frequently the learning takes place in a lab or shop environment, where the traditional rules of classroom management and teaching may not always apply. This course covers the instructional techniques necessary for the non-traditional classroom, including strategies for teaching to each student's individual learning style. In addition, this course describes strategies for assessing student progress. Safety guidelines and considerations for specific lab and shop environments are identified.
This course will provide you with the knowledge and skills to successfully author, teach, assess, and revise online courses. You will learn to develop a course framework with consistent modules. Building an online community and constructing a dynamic syllabus are important in helping you communicate with students. You will also learn how to develop an assessment plan that includes peer and self-assessment. No online course is complete without a comprehensive revision cycle. This course will walk you through the process of "closing the loop" to create a complete revision and improvement plan for your online course. We will provide you with ideas for student-centered learning that includes activities and intellectual interactions using a variety of technological tools.
This course will provide you with basic information to teach in a virtual learning environment and understand the importance of organizing course content. You will learn about the important role technology tools play in teaching and organizing an online course. You will also learn the difference between synchronous and asynchronous learning. As the components of each are discussed, you will further identify appropriate methods, develop guidelines, organize content, and establish a pattern of teaching for each method.
This course provides information to help you effectively communicate with students and encourage communication among students in an online environment. You will learn the importance of facilitating instructor-to-student (I2S), student-to-instructor (S2I), and student-to-student (S2S) communication. Digital technology tools play a vital role in the modern communication process, and several are discussed in this course. In addition, discussion is provided to help you further understand how to manage and measure communication in an online course and help students communicate effectively.
This course will provide you with strategies and techniques to help prepare students for the online environment. To do so, you must also assess your strengths and weaknesses as an online instructor. As you help students assess their readiness for online learning, you are also preparing them for the expectations and realities of the online environment. By identifying students' strengths and weaknesses, you can provide guidance to help them achieve the learning outcomes. This course not only notes the necessary technical skills, it also discusses non-technical skills as well as techniques for successful learning and helping students develop their online persona.
This course will provide you with a basic overview of designing and implementing asynchronous, self-directed online courses effectively. It will review the differences between synchronous and asynchronous online courses. Traditional components of face-to-face courses such as readings, written assignments, and discussions work well in the asynchronous online class environment, but what happens to laboratory assignments and applications? Can they fit into the online course model? Courses which need a lab component, especially the STEM (Science, Technology, Engineering, and Math) courses, may seem impossible to complete in the online environment. Practical examples of effective online lab situations will be provided in this module. This will assist in promoting student engagement and increasing the student's learning potential.
This course explores the critical differences between management and leadership. Participants will be introduced to definitions and myths about each area as well as how management and leadership must coexist for an organization to operate effectively. Participants will explore their own management/leadership tendencies through exercises to see leadership and management in action.