'Target stimulus' diaporamas de présentation

Designing Instruction for Students with ASD

Designing Instruction for Students with ASD. Autism Cadre: Module 4. Instruction for Students with ASD. Where do we begin this journey? Planning a program for students with ASD involves knowing the appropriate curriculum for each student and the evidence-based practices to teach it.

1.26k views • 107 slides

A Neural Network Model of Subliminal Priming

A Neural Network Model of Subliminal Priming. Howard Bowman Computing Laboratory, University of Kent at Canterbury. Collaborators : Friederike Schlaghecken (Psychology, Univ Warwick) Adam Aron (Psychiatry, University of Cambridge) Prof. Martin Eimer (Psychology, Birkbeck College)

884 views • 45 slides

453 views • 44 slides

Chapter 13 (Cooper) Chapter 17 (Sulzer-Azaroff)

Chapter 13 (Cooper) Chapter 17 (Sulzer-Azaroff). Prompting. Effective Goal Setting. Be realistic Shape Goals should be S D s. Prompting and Prompt Fading. Prompts:

989 views • 34 slides

313 views • 21 slides

NeuroPhone : Brain-Mobile Phone Interface using a Wireless EEG Headset

NeuroPhone : Brain-Mobile Phone Interface using a Wireless EEG Headset. Andrew T. Campbell, Tanzeem Choudhury , Shaohan Hu , Hong Lu, Matthew K. Mukerjee !, Mashfiqui Rabbi, and Rajeev D. S. Raizada Dartmouth College, Hanover, NH, USA. Motivation .

454 views • 19 slides

Recoding behavioral self-reg data into item-level binary variables that can be scored

Recoding behavioral self-reg data into item-level binary variables that can be scored. Spencer meeting IHDSC, New York University Mar 24 th Part 2. The challenge:. The metric is less meaningful when we standardize behavioral data (e.g. latency to touch prohibited toy as Z-score).

185 views • 7 slides

Recoding behavioral self-reg data into item-level binary variables that can be scored

Recoding behavioral self-reg data into item-level binary variables that can be scored. Spencer meeting IHDSC, New York University Mar 24 th Part 2. The challenge:. The metric is less meaningful when we standardize behavioral data (e.g. latency to touch prohibited toy as Z-score).

73 views • 7 slides