Martin Smith

Excellence in Teaching
CHEP Status: Active
CHEP Awarded: 07/19/2026

Badge Evidence | Completed Courses (4 Hours Each)

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.
This course will provide an overview of certificates, badges, and micro-credentials, helping instructors understand the differences between the three and the advantages and disadvantages of each. Examples are given for how instructors can implement certificates, badges, and micro-credentials in the classroom. Strategies are provided to assist instructors as they share information about certificates, badges, and micro-credentials with their students and help them select those that are most appropriate for their career development.
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.
Your degree of success as an online instructor relies heavily on several factors, among which are your level of preparedness before the date on which the course is launched; your ability to make a smooth transition into the roles and responsibilities associated with teaching in an online environment; and the effectiveness and efficiency with which you manage learners, instructional transactions embedded in the course as well as the learning environment. In this course, you will learn how to project your authority and presence into the e-learning environment, build a relationship with each learner, promote and nurture learner participation, provide informative and constructive feedback in a timely manner, minimize attrition, manage communications, manage unacceptable behavior and resolve disagreements.
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.