Oliver Lopez

Excellence in Teaching
CHEP Status: Active
CHEP Awarded: 05/03/2026

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.
Educators work with students who want to learn specific skills that will lead to fulfilling careers. As educational instructors it is our job to help each student to achieve this goal. Just as you may have a particular style of teaching that you prefer, your students have preferred ways of learning. This course will help you to identify the different learning styles of your students so that you can adjust your instruction to better accommodate them. Good teachers also regularly monitor the effectiveness of their instruction by assessing their students’ learning. This course will examine several aspects of assessment including how to create good tests, how to ask effective questions and how to get your students to actively participate in their learning by asking questions themselves.
This course provides methods and techniques for managing students and class activities. We start by reviewing the steps instructors need to follow as they introduce a class to new students. We then discuss strategies to effectively deal with unfocused and challenging students. The course ends by describing common mistakes made by instructors and ways to avoid them.
Retention is an issue, and what happens in the classroom is a critical factor influencing a student's decision to stay or go. The classroom environment may be hurting your students' view of the quality of your programs. In this course, you will learn tips and techniques to deal with environmental influences such as your role as the instructor, the classroom, the interactive activities, the support materials, and the sequence of instruction as well as other subtle influences. You will learn to view the environment from the student's perspective to increase your teaching effectiveness and student retention.
In this course we describe the types and characteristics of questions instructors ask when teaching. We define two methods of classifying questions: the first according to the particular skill required to answer them, and the second according to their complexity and the cognitive level used when responding. We discuss appropriate circumstances when various types of questions should be asked, and we refer to studies that support our recommendations. Three instructional strategies are explained that can result in more effective questioning. Four practices are described that instructors use—or should use—during their lessons. Finally, thirteen tips are offered for review and for enhancing and improving an instructor’s questioning strategy and technique.
Career education programs prepare students to perform job tasks successfully in their chosen trade or profession. Providing opportunities beyond traditional quizzes and exams allows students to demonstrate and assess these skills and aids in this preparation. This course focuses on how you, the instructor, can identify and implement alternative assessments that support expected course outcomes and allow students to demonstrate their level of competency for a skill or task.
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 analyzes strategies and skills used by highly effective instructors regardless of the level or the topic of their instruction. Each technique is discussed with an emphasis on how an instructor can implement it to enhance instructional improvement. Best practices are suggested and examples are given to assist instructors in taking steps to become more effective. Links are provided for resources that instructors can make a part of their ongoing skill set. The course aims to boost teachers’ ability to engage and teach their students effectively while helping them make progress toward their career goals.
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.
Experiential learning is intended to extend students' educational experience beyond the traditional classroom setting. It is a structured, student-centered way to integrate curriculum-based educational experiences utilizing practical applications and active involvement. This course discusses strategies for extending the curriculum into the workplace. Information is provided on how to educate the internship site and how to create useful forms and processes for documenting and implementing successful internships. This course describes the different roles of the institution, the student, and the internship site. It will identify ways to supervise students, as well as ways to evaluate and assess student success at internship sites.