On this page, we have offered syllabi, course readings, chapter-by-chapter discussion questions, key terms, quizzes, essay assignments, and exams to do just that. Individual instructors, of course, should always govern their own curriculum and be able to determine their own pedagogy. Rather than attempting to build a common curriculum, these resources are designed merely as a starting point. Like our text, they are licensed openly (CC-BY-SA): you are encouraged to use them, download them, distribute them, and modify them as you see fit. Moreover, The American Yawp is, as always, an evolving, collaborative project. We welcome the submission of additional teaching materials and feedback on existing material. If you have any ideas or resources you’d like to share, please contact the editors (Ben Wright for the first half, and Joseph Locke for the second) directly.
Collection of Andrew Marvell's poems including "To His Coy Mistress" and "The Mower Against Gardens."
LibriVox recording of Beowulf by an unknown author (translated by Francis Barton Gummere). Read in English by Tad E.Beowulf was composed by an anonymous Anglo-Saxon poet. Francis Barton Gummere translates this beautiful poem. Beowulf is an epic poem. The main character, Beowulf, proves himself a hero as he battles against supernatural demons and beasts. (Summary by Tad E.) For further information, including links to online text, reader information, RSS feeds, CD cover or other formats (if available), please go to the LibriVox catalog page for this recording. For more free audio books or to become a volunteer reader, visit LibriVox.org.Download M4B (76MB)
The drafting of this Sourcebook on Climate-Smart Agriculture, Forestry and Fisheries has been a collaborative
effort involving professionals from within several departments of FAO and a variety of partner organizations.
Many individuals played a leading role as main authors and coordinators in the preparation of the modules,
while others made written contributions to the Modules’ boxes and case studies.
The conceptualization and production of this sourcebook was coordinated by Lucia Palombi and Reuben Sessa,
under the overall supervision of the Director of the Climate, Energy and Tenure Division of FAO Xiangjun Yao and
the Senior Natural Resources Officer Tiina Vähänen. Editorial support was provided by Denise Martínez Breto,
Kaisa Karttunen, Gordon Ramsay and Alessandra Bresnan while the graphic design was elaborated by Maria
Guardia and Fabrizio Puzzilli.
The creation, curation, and widespread use of open educational resources (OER) is making a significant difference in democratizing access to a high-quality education. From a burgeoning movement launched over 15 years ago, to a growing field, to national and global impact, teachers and learners in increasing numbers are participating in and benefiting from a process driven by the collaborative development and sharing of educational materials that are freely available for anyone to use, unrestricted by traditional copyright.
If the field of OER is to continue on its trajectory from a nascent movement to the mainstream of education, it is incumbent on OER advocates and stakeholders—including educators, librarians, instructional technologists, and content developers—to address how we might sustainably scale the movement over time and across diverse contexts, while still staying true to the values of openness that attracted so many to OER in the first place.
It is for that reason, we developed and are pleased to introduce the CARE Framework. Its purpose is to both support and make more explicit the valuable work that is being done and needs to be done in building a sustainable open education ecosystem.
In this section, you will learn about the importance of ethical considerations and implications of Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs) like ChatGPT. This section highlights that LLMs are not inherently good or bad. Instead, the importance of user engagement in ethical practices is emphasized to ensure responsible use of these tools.
Ethical considerations for educators include attention to student privacy, expectations, and consequences—all of which should clearly be defined in syllabus statements, classroom policies, or institutional statements. Meanwhile, ethical implications exist involving varying ethical standards for how people approach LLMs differently, how human and machine bias influence GenAI, and how style guides differ on citing information garnered from ChatGPT.
After reading this section, you should be able to articulate your own ethical queries and concerns related to LLMs, such as ChatGPT, both as a general user and an educator.
Overview: This survey instrument is designed to understand how creators use (or decide not to use) Creative Commons licenses. The target survey participants are people who create materials for documentation, maintenance, instruction, learning, and/or revitalization of Indigenous, minority, endangered, and/or low-resourced languages. Part 1 of this survey is designed to learn about the digital creation formats and sharing practices in this specific community of practice. Parts 2 through 4 of this survey contain general questions intended to elicit information about research participants’ knowledge and awareness of Creative Commons (CC) licenses; understanding of how to apply CC licenses to their digital creations; interest in and experience with applying CC licenses to their digital creations; motivations for and barriers to applying CC licenses to their digital creations; and understanding of how to adapt or reuse digital creations licensed with CC licenses.
This survey can be easily adapted for use in other communities of practice by editing some of the questions and multiple-choice responses.
If you wish to read this survey and background information about it, please start with the file ReadMe-CCLuseSurvey.pdf.
The file Creative_Commons_License_Use_Survey.qsf is a Qualtrics Survey File that can be used to recreate this survey in your own instance of the Qualtrics software.
The file Creative_Commons_License_Use_Survey.pdf is a PDF of the survey. This version includes Creative Commons graphics that are used in the survey questions. The file ReadMe-CCLuseSurvey.pdf does not include the graphics.
The Fall 2020 term served as a litmus test of how well the evolving course material distribution and selection process works for U.S. higher education. More faculty than ever before had to select and adapt their course materials, with less time than previous years to explore their options and make decisions.
This is an open educational resource for teaching Early British Literature. All texts are in the public domain.
The causes and consequences of global biodiversity loss and species extinctions are complex and rapidly changing across spatial and temporal scales. They have both local and global manifestations and are entangled with biological, socio-cultural, economic, and political processes. Many of these challenges demand novel approaches, including innovative research and interdisciplinary analysis. They need new skills and methods from various disciplines and expert communities, including the humanities, social sciences, and biophysical sciences. They also require rethinking who conducts research and communicates findings and how knowledge is produced at the intersection of research and higher education institutions and social change.
This book aims to respond to these challenges. Extinction Stories was co-authored by undergraduate students at Worcester Polytechnic Institute, a private research university in Worcester, Massachusetts (USA), while exploring issues of extinction, environmental conservation, and biodiversity loss. The following twenty chapters combine the final projects conducted by students in the Great Problem Seminar (GPS) Extinctions course during the Fall of 2020 and the Biodiversity course in the Spring of 2021. Both courses took place while the world was still facing the impacts of the COVID-19 Pandemic—a global crisis that, as our current sixth mass extinction, is also profoundly rooted in long-lasting processes of habitat destruction and human-induced environmental change.
This text may also be accessed at extinctionstories.pressbooks.com/.
First-Year Composition is an open-source textbook designed to support the work of undergraduate writers enrolled in college composition courses. Although many of the topics addressed in the book are written with first- and second-year students in mind, the content remains relevant for writers at any stage of writerly development.
A learning module for import to LMS on the social psychology of stereotypes, racial bias, and biased policing. Also available as a standalone module on the Blackboard Coursesites platform.
From the assignment's preamble:
Largely because of the horrific videorecorded murder of George Floyd while under the restraint of four Minneapolis police officers, citizens around the world are feeling a renewed urgency to take action to recognize and act against racism. This Teach-In is designed to give you an opportunity to learn a bit more about the psychology of stereotyping, prejudice and discrimination, the racial inequities and inequalities that exist in society and in policing, your own biases, and about the societies and organizations working to remedy these inequalities and inequities.
Here is briefly what the Teach-In involves:
Reading: You will read part of a social psychology textbook on social categorization and stereotyping, and two relatively short and approachable academic journal articles.
Watching: You will watch several brief TED-type lecture talks about the topic, and a debate on the topic "Policing is Racially Biased," presenting informed arguments both in favor of that idea and against it.
Doing: You will experience how psychologists measure one aspect of bias -- implicit bias.
Writing: You will write two short reflection-style papers, and write journal entries about your feelings and experience.
This text is disseminated via the Open Education Resource (OER) LibreTexts Project (https://LibreTexts.org) and like the hundreds of other texts available within this powerful platform, it is freely available for reading, printing and "consuming." Most, but not all, pages in the library have licenses that may allow individuals to make changes, save, and print this book. Carefully consult the applicable license(s) before pursuing such effects.
Instructors can adopt existing LibreTexts texts or Remix them to quickly build course-specific resources to meet the needs of their students. Unlike traditional textbooks, LibreTexts’ web based origins allow powerful integration of advanced features and new technologies to support learning.
The Administrator Quick Start Guide seeks to support community college administrators in enabling the use of OER to address online learning on their campuses. The guidebook provides quick tips and starting points including:
A list of evidence-based practices and checklist considerations to support campus administrators in the transition to OER for online learning.
Resources to support campus leaders in impacting and developing OER policy supports, including example student government resolutions, district board resolutions, and academic senate resolutions.
Examples of how campus leaders and colleges across California have facilitated their transition to OER.
Practical strategies for using OER to build courses in Canvas, the learning management system used by community colleges across California
Examples of the ways that OER can be used to meet the requirements of quality online course design, and specifically in alignment with the statewide online course design rubric for California Community Colleges
Considerations for using OER to create more accessible, relatable learning experiences for students right from the start—including strategies for leveraging Universal Design for Learning, campus accessibility guidelines, and anti-racism frameworks in the development of OER
In this section, we will examine how generative AI (GenAI) tools may assist with academic reading and research. Examples of content generated by ChatGPT will show how GenAI may be incorporated into a classroom setting. Each section offers suggestions for use and various strategies that could be incorporated for those who wish to allow the use of these tools for assignments. Included throughout are suggestions on how to promote students’ ethical and effective use of these tools and to possibly limit their use if desired. By the end of this section, you should be able to use GenAI to support reading practices.
In this section, illustrative examples from ChatGPT show how to incorporate Large Language Models (LLMs) into the writing process while considering ethical concerns associated with such tools, namely avoiding plagiarism or exploitation of AI-generated content. The advent of public access to LLMs means they are now a critically important aspect of digital information literacy. As such, this technology must be addressed in the composition classroom with guided instruction. We recommend a strategy that models application of a modified version of stasis theory to all LLM-generated content.
After reading this section you should be prepared to teach stasis theory as a strategy for continual interrogation that helps rhetors discern whether generative-AI content exhibits appropriate depth, scope, and quality, along with the appropriate next steps in argumentation, writing, or research.