Learning How to Learn Languages is a student-developed, interactive, open-source online textbook. …
Learning How to Learn Languages is a student-developed, interactive, open-source online textbook. It is a collaborative effort of five undergraduate students, one graduate student, and a faculty member at the University of Oregon. It offers a comprehensive view of second language learning in one place, providing conceptual perspectives on language learning through a practical lens. This how-to guide is useful for learners of all levels and can be used in various ways: as a complete textbook for a course, as supplemental chapters in language courses, or as self-study. It contains ten chapters: five chapters on different foundational aspects of language learning followed by five additional chapters on language skills and their integration with practical strategies and example stories from learners. This OER incorporates various visual elements such as illustrations, student-created videos, authors’ stories, and H5P activities with built-in feedback for learners to engage independently.
This lesson is part of Software Carpentry workshops and teach an introduction …
This lesson is part of Software Carpentry workshops and teach an introduction to plotting and programming using python. This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example, and is designed to be used in both Data Carpentry and Software Carpentry workshops. This lesson references JupyterLab, but can be taught using a regular Python interpreter as well. Please note that this lesson uses Python 3 rather than Python 2.
We present a consensus-based checklist to improve and document the transparency of …
We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository.
No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make derivative works.
Most restrictive license type. Prohibits most uses, sharing, and any changes.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.