Computer-assisted and web-based innovations in psychology, special education, and health / edited by James K. Luiselli, Aaron J. Fischer.

Computer-Assisted and Web-Based Innovations in Psychology, Special Education, and Health summarizes from a multidisciplinary perspective the most recent applications, innovations, and technology advances in education and psychology research and practice. The first section addresses education and clinical intervention, focusing on specific strategies, such as virtual reality therapy, and conditions such as substance use and addictions. The middle section concentrates on intellectual and developmental disabilities, where technology has increasing acceptance and success. The last portion of the book focuses on service, training, and supervision via technology, data management, professional standards, and regulatory guidelines.

Includes bibliographical references and index.

Print version record.

Front Cover; Computer-Assisted and Web-Based Innovations in Psychology, Special Education, and Health; Copyright Page; Contents; Contributors; Preface; I: Technology for Monitoring, Assessment, and Evaluation; 1 Behavioral, Affective, and Physiological Monitoring; Measuring Behavior, Affect, and Physiology in Laboratory Settings; Measuring Enacted Behavior in Laboratory Settings; Measuring Affective Expression in Laboratory Settings; Measuring Physiological Activity in Laboratory Settings; The Role of Technology in Measuring Behavior, Affect, and Physiology Outside of Laboratory Settings.

Understanding Psychological Symptoms in ContextAdapting Group-Based Methodologies to Single Case Designs; Determining Which Treatments Work for Whom; Technologies for Measuring Behavior, Affect, and Physiology Outside of Laboratory Settings; Enacted Behavior; BSP Solutions for Collecting Enacted Behavioral Data in Real Life Settings; Affective Expression; Physiological Activity; Practice Recommendations; Audio- and Video-Recordings; Physiological Data; Summary and Directions for Future Research; References; Further Reading; 2 Measurement of Physical Activity Using Accelerometers.

Evolution of Accelerometer-based Activity MonitorsWhat is an Accelerometer and How Does It Work: Key Technical Aspects of Accelerometry; Sampling Rate; Counts; Epochs; Methods to Estimate Physical Activity Using Accelerometer Counts; From Counts to Meaningful Outcomes; Development and Utilization of Accelerometer Cut-Points; Other Considerations; Utilizing Accelerometer-Based Activity Monitors in Free-Living Studies: Logistics and Selection of Parameters; Feasibility/Practicality; Device Selection; Monitor Placement (e.g., Hip, Wrist, Ankle); Defining Sampling Rate.

Deploying the Monitor for Free-Living PA MeasurementProcessing Accelerometer Data; What Constitutes a Valid Day of PA Monitoring?; What is the Minimum of Valid Days for Considering a Week as Valid?; Selecting Method/Algorithm for Estimating Physical Activity; Bouts of Physical Activity; Future Directions; Machine-learning Algorithms; Supplemental Sensors to Refine PA Measurement; References; 3 Technological Applications for Individuals with Learning Disabilities and ADHD; Technological Applications for Individuals with Learning Disabilities (LDs) and ADHD; Defining Characteristics of LDs.

Defining Characteristics of ADHDTechnological Applications for LD and ADHD; Applications to Assessment; Applications in the Classroom; Applications for Memory and Organization; Executive Functioning Applications; Applications to Test Accommodations; Research on Technology Applications for LD and ADHD; Technology to Assess and Diagnose Students with LD and ADHD; Continuous Performance Tests; Virtual Reality Environments; EEG and Biofeedback; Ecological Momentary Assessment (EMA); Online Assessment Tools; Assistive Technology for Learning and Memory; Screen Reading Software; Reading Pen.