Home » Standard Modules » Making Data Easy in Classroom Settings (Standard)Making Data Easy in Classroom Settings (Standard)Jason Guild & Kathy Fox5.00 out of 5 (1 customer review)$3.00A presentation by Jason Guild and Kathy Fox delivered at the 2021 Michigan Autism Conference Purchase 5+ CEU modules to earn a bulk discount Making Data Easy in Classroom Settings (Standard) quantity Add to cartGift This Module »Buy a friend or colleague a gift card for this module! Gift This Module » Choose your image Or Upload your image >Delivery info Delivery date: RECIPIENT'S INFO Name: Email: + add another recipient YOUR INFO Name: Message: SKU: guildfox2021-s Categories: MAC (S), Standard Modules Tags: assessment, autism, data analysis, data collection, Michigan Autism Conference (2021), schools, visible Brand: FoxyLearning Description Free Preview Reviews (1) DescriptionIn many schools and clinical settings, staff report that they collect data frequently but aren’t sure what the data they collect are used for or how it leads to changes in student or client programming. At New Story Schools Ohio (formerly Haugland Learning Center), we focus on collecting and organizing data to maximize student progress and make sure staff who work with students directly are involved in the entire process. Three types of assessment are used to gain a clear picture of student performance: micro, meso, and macro. Classroom staff receive frequent coaching and feedback regarding instruction, assessment and data collection. In addition, meta analysis of all levels of classroom data is performed regularly. This presentation focuses on how data collection and analysis can be done easily and efficiently to ensure maximum student progress. Examples, challenges, and successes will be discussed.[su_accordion] [su_spoiler title=”About the Speaker” open=”no” style=”default” icon=”plus”] Jason Guild has served in several roles at Haugland Learning Center for the last 11 years, including classroom aide, teacher and teacher coach. Data analysis is his favorite part of his job. He also works as a consultant for Morningside Teachers’ Academy. In his spare time, Jason enjoys watching auto racing and playing with his little boy, Jacob. [/su_spoiler][su_spoiler title=”Survey Results” open=”no” style=”default” icon=”plus”] Below are live results from the voluntary survey users are asked to complete at the end of this module. [/su_spoiler] [/su_accordion]Below is the entire open-access version of this video. It does not contain embedded questions or interactions like the standard version of the module. 1 review for Making Data Easy in Classroom Settings (Standard)5.0Based on 1 reviewAdd a review5 star100100%4 star0%3 star0%2 star0%1 star0% Search 1-1 of 1 review Most Recent Most Helpful Highest Rating Lowest Rating Evgeny Evseev verified buyer February 26, 2023Rated 5 out of 5This course highlighted the essential aspects of the data collection procedure during the teaching process. My personal experience showed that it could be overwhelming; however, after the information, I possessed here, I became more aware of the significance of collecting and analyzing the data. (0) (0)Sorry, no reviews match your current selectionsOnly logged in customers who have purchased this product may leave a review.CancelRelated products 1 CEUFavors, Facts, and Fishnets: Shaping Autism Law and Policy $20.00 Add to cartquick view 1 CEUDerived Manding in Children with Autism: Synthesizing Skinner’s Verbal Behavior with Relational Frame Theory4.56 out of 5(9) $10.00 Add to cartquick view 1 CEUAssessing and Treating Vocal Stereotypy in Children with Autism4.48 out of 5(29) $10.00 Add to cartquick view 0.5 CEUTeaching Effective Hand Raising to Children with Autism During Group Instruction4.61 out of 5(18) $5.00 Add to cartquick view
This course highlighted the essential aspects of the data collection procedure during the teaching process. My personal experience showed that it could be overwhelming; however, after the information, I possessed here, I became more aware of the significance of collecting and analyzing the data.