Using Sakai

Teaching and Learning

Built by educators for educators, Sakai provides a student-centered platform for learning that can transform the educational experience. Its customizable and easy to use interface enables effective and efficient development, delivery and management of courses, course content, and collaborative efforts.

The Sakai wiki has a T&L working group that is the gathering place for folks interested in teaching, learning and assessment within the Sakai community. We are actively looking for more folks to contribute so please wonder around and jump in wherever you wish.  You may also want to join the "Teaching and Learning" (i.e. "pedagogy") mail list discussion group. The T&L working group mission is:

To drive innovation on teaching and learning within the Sakai community. To share best practices, understandings and experiences among faculty members themselves and between faculty and other Sakai community members. To communicate the goals and issues of the teaching and learning community to contributors in Sakai including developers, UX (user experience), system administrators, documentation, support, and QA (quality assurance).

Portfolios

Sakai includes the robust Open Source Portfolio e-Portfolio system. Sakai’s portfolio functionality allows users to store, organize and present digital representations of their teaching, learning or institutional achievement. It facilitates the creation of portfolios for self-presentation, reflection, as well as supporting program and institutional assessment.

Click here to find out all about OSP!

Research

Sakai offers a host of capabilities to support research collaboration. It offers researchers the critical flexibility to select and combine the tools required to support and achieve individual project objectives. 

Collaboration

Sakai’s set of capabilities are instrumental in facilitating collaboration in and across courses, research, projects, administrative processes, and multi-disciplinary and multi-institution efforts. 

Community

The Sakai community provides an opportunity for users to improve the quality of the collaborative learning environment, and to share best practices in teaching, learning and research.