Using and Collecting Data to Tell the Story of your Coaching Program

Welcome to "Ask the Tech Coach," a podcast for Instructional Coaches and Technology Integration Specialists. In this episode of “https://www.teachercast.net/episodes/ask-the-tech-coach/ (Ask the Tech Coach),” Jeff welcomes Lisa Kuhn from Forward-Edge on the podcast to discuss the importance of Data Collection in the daily lives of an Instructional Coach. If you would like to be a part of future podcasts and share your thoughts, https://www.teachercast.net/podcastguestform (please contact the podcast).  We would love to have you join the show. Join the TeacherCast Tech Coaches Network! Are you a Tech Coach or looking to become one this year? Are you searching for support in your position? The https://www.teachercast.net/TCNForm (TeacherCast Tech Coaches Network), is a dynamic Professional Learning Network designed specifically for Tech Coaches and designed to provide weekly support for all Instructional Coaches. https://www.teachercast.net/TCNForm (Click Here to Join!) Question of the Week Our favorite part of recording a live podcast each week is participating in the great conversations that happen on our live chat, on social media, and in our comments section. This week’s question is: In what ways should Instructional Coaches be collecting and using Data to support their programs? Get The Support You Need For Your Instructional Coaching Program Today! Are you searching for the best ways to support and grow your Instructional Coaching program this year?  The best way to do that is by joining the TeacherCast Instructional Coaches Network. By joining the TeacherCast Instructional Coaches Network, you will have access to: 3 Distinct Professional Learning Networks designed to help you grow for network other Coaches and Digital Learning Leaders Free Downloadable Templates and Coaching Resources that can be used in your district … tomorrow! Direct access to Jeff Bradbury and all of​f his “offline” content that he creates during the school year. Exclusive