Maurice Rangel

Excellence in Online Teaching
CHEP Status: Active
CHEP Awarded: 06/04/2026

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 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.
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 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 strategies and techniques to help you reduce your workload in the online environment. The course begins with an overview of good principles for education and questions to consider prior to developing Workload Management Strategies (WLMS). This course also provides WLMS for teaching online, communicating and collaborating, and revising your online course.
Although online learning is becoming more normalized in our educational institutions, there are still many questions about its effectiveness for certain areas of study and training. There remains an idea that online learning is mostly passive and therefore unsuitable for anything active and specifically the development of skills and trades. This course will explore the changing realities of online learning and how effective it can be in the training of skills and trades. Strategies will be shared to facilitate the online teaching of applied skills in simulated and real-world settings.