"Creating Accessible Education" training
Accessible education implies many layers with potential interacting issues:
- Campus decision makers and direct support or production staff benefit from an overview of the various barriers and benefits of the technologies used on your campus or of a particular category of accessibility concerns (web, publications, alt tags for complex images, media).
- Individuals tasked with creation and remediation of specific technologies learn with targeted workshops on individual programs.
- Campus communities value workshops offered on commonly used technologies such as word processing and document production.
- Just-in-time resources, developed with TesselLearn's help, support campus questions 24 X 7
A campus benefits from knowledgable support when starting an accessible educational technology or metacognitive training initiative to provide access to education in additional ways.
Electronic and Information Technology (EIT) Accessibility Training
TesselLearn staff apply over 30 years of teaching and campus technology training experience to customize training experiences to meet your needs and environment. These vary from day-long workshops to shorter remote courses; overview courses or classes focused on specific application-based functions; and from hands-on to demonstration classes.
Assistive / Educational Technology Workshops
Students, teachers and pedagogy are the most crucial components of education. Technology is an inevitable part of the underlying support structure and innovative can fuel engagement. The desire for accessiblity shouldn't keep educators from innovating and using technology.
TL offers on-site and remote workshops on assistive technology use for determining accessibility and on using accessible educational technology in inclusive ways
Metacognition, executive functions and self-regulated learning training
Many educators have noticed the recent drop in prepared and engaged students. TL provides train-the-teacher and direct student support for learning metacognitive monitoring and self-regulated learning.