Effect of Cooperative Instructional Strategy on Students ...
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Documents
Le téléchargement nécessite un accès à la bibliothèque YouScribe Tout savoir sur nos offres
- cours magistral - matière potentielle : method
- cours - matière potentielle : students
- cours - matière potentielle : level
- cours - matière potentielle : certificate
- cours - matière potentielle : environment
- low scorers
- instructional strategy
- control group
- social studies
- performance
- analysis
- teachers
- 2 teachers
- test
- group
- students
Research Portfolio – project goals Systems Home & Community Health and Wellness Health Kiosk Asim Smailagic, CMU Electrical and Computer Engineering Create a system for senior citizens to easily, conveniently and affordably collect their health vital measurements by themselves, and communicate them to their doctors when needed.
Cueing Kitchen Dan Ding, Pitt Rehabilitation Science and Technology Create living spaces with intelligence, aesthetics, flexibility, and configurability that extend rehabilitation to the natural environment and as needed compensate for the reduced functions of people with disabilities or older adults.
dWellSense Anind Dey, CMU Human Computer Interaction Integrate a set of sensors into everyday objects that elders interact with (e.g., pillboxes, telephones, coffee makers to collect information about everyday interaction, and help to automate the assessment of cognitive decline, without the need of a clinician providing input every day. QoLTbots Home Exploring Robot Butler Sidd Srinivasa, CMU Robotics Explore ways for robots to provide physical assistance for instrumental activities of daily living (IADLs) in the home. PerMMA Rory Cooper, Pitt Rehabilitation Science and Technology Develop a robotic platform that provides both mobility and manipulation assistance in daily living tasks. develop robot operating modes that combine user, caregiver and computer command and control. PerMMA Strong Arm Rory Cooper, Pitt Rehabilitation Science and Technology Develop a robotic system and strategies that will allow the transfer of a person from one surface to another as well as facilitate the lifting of heavier everyday objects.
Safe Driving
DriveCap Aaron Steinfeld, CMU Robotics Develop a package for accurate, lowcost, realtime measurement of capability metrics in driving tasks. Provide feedback to drivers so they can better self regulate driving behaviors and become selfaware of shifts in capability.
DriveCap Navigator Drew Bagnell, CMU Robotics Develop a system that monitors and learns behavior of the driver and the vehicle and uses that knowledge to provide guidance on vehicle operation to the driver.
Vehicle Transformation Kathryn DeLaurentis, University of South Florida Evaluate adaptive driving vehicle modification equipment to develop a training course and improve current state of the art of vehicle modifications.
Vehicle Enhancement: Virtual Valet Aaron Steinfeld, CMU Robotics Develop hardware, software and user interactions that give a motor vehicle the ability to safely park itself in parking lots.
Assessing Cognitive Load of Elder Drivers Anind Dey, CMU Human Computer Interaction Identify when drivers encounter high cognitive loads using low cost sensors.
Virtual Coaches Seating Coach Dan Siewiorek, CMU Human Computer Interaction Develop a computerbased system that encourages safe and healthy use of electric power wheelchairs, particularly appropriate center of gravity adjustment and use of auxiliary functions that affect seating pressure.
QoLT CAD Dan Siewiorek, CMU Human Computer Interaction Generalize the collective knowledge that has been obtained from each individual VC system into a set of tools thatsupport technical and nontechnical/clinical users with the tasks of: 1) configuration/personalization of existing VC designs, or 2) assembly of novel VC designs from basic functional subsystems, to best meet the needs of their clients.
Personal Health Coach Anind Dey, CMU Human Computer Interaction Use technology to motivate, guide and instruct older and younger people in collecting data about their health and testing hypotheses to maintain and improve their own health, eventually changing their behavior towards better health.
Exercise Coach Takeo Kanade, CMU Robotics Develop a wearable system to assess if a patient is performing lower extremity physical rehabilitation exercises correctly and provide coaching on correct performance
Technology Development and Knowledge Creation
HumanSystem Interaction Robots to Motivate Rich Simpson, Pitt Rehabilitation Science and Technology Develop an inexpensive, easy to assemble and program robot for therapists to use as a tool for interacting with special needs children.
Personalized Social Coaching Reid Simmons, CMU Robotics Develop technologies where the mode of the feedback (e.g., verbal, audio, visual) from a virtual coach is conditioned on both the context of the current situation and the user’s personal preferences.
User Engagement Dan Siewiorek, CMU Human Computer Interaction Use principles of computer games to generate user engagements for advice giving virtual coaches, and create tools that support improved engagement with one’s own health/rehabilitation data.
QoLTbot Interaction Design Jodi Forlizzi, CMU Human Computer Interaction Develop methodologies to match QoLTbot and human capabilities in selected everyday tasks. Prototype and evaluate humanrobot interaction modes for those tasks.
Active Intent Recognition Paul Rybski, CMU Robotics Create autonomous man/machine interfaces that infer human intent by structuring a series of tasks aimed at a particular goal Emotion Recognition Asim Smailagic, CMU Electrical and Computer Engineering Develop techniques to determine a person’s emotional state using audio and video Mobility & Manipulation
Mobile Manipulation Sidd Srinivasa, CMU Robotics Develop efficient algorithms for autonomous grasping and manipulation of household objects, and integrate them into the QoLTbots HERB and PerMMA.
Inflatable Robot Chris Atkeson, CMU Robotics Design and prototype robot manipulators comprised of inflatable mechanical elements, as well as the techniques to control them in tasks relevant to activities of daily living.
Intuitive Interaction Bambi Brewer, Pitt Rehabilitation Science and Technology Develop ways for humans to control robot manipulators by direct physical interaction. Develop sensing schemes to safeguard motions of manipulators when they are in close proximity to people.
Understanding Humans Hartmut Geyer, CMU Robotics Develop a forwarddynamic model of neuromuscular swingleg control as pertaining to human gait changes and dynamic balance restoration following slip, trip or similar disturbances occurring in normal locomotion activities.
Perception & Awareness
Recognition Martial Hebert, CMU Robotics Develop techniques to understand the user’s environment based on sensor data.
Learning Martial Hebert, CMU Robotics Develop algorithms that 1) learn models of people’s activities from training sensor data and 2)subsequently predict actions and behaviors using new data.
Sensing Takeo Kanade, CMU Robotics Develop algorithms to sense a person’s environment and to infer her behavior using video and images acquired by wearable cameras (aka First Person Vision), supplemented by data from auxiliary sensors such as wearable inertial measurement units.
Grand Challenge Fernando de la Torre, CMU Robotics Develop algorithms for multisensor approaches to recognizing instrumental activities of daily living. Acquire data sets of IADLs in controlled, semicontrolled and uncontrolled settings. Mate the data and algorithms available to the research community at large.
Person & Society
Implementation Study: Health Kiosk Judith Matthews, Pitt Urban and Social Research Provide communityresiding older adults in congregate living situations with a onestop shop that is easy and intuitive to use for obtaining one’s own health information, selfmonitoring of selected health parameters, and communicating these findings or other healthrelated concerns with health care providers in remote locations.
Implementation Study: First Person Vision Judith Matthews, Pitt Urban and Social Research Learn how communityresiding older adults and their spouses or partners respond to wearing our prototype firstperson vision device (eyeglass version) while performing simple household tasks. Specifically, gauge their opinions about the device’s appearance, ease of use and usefulness, and the situations in which they would and would not be willing to wear it. Assess how accurately members of our research team, blinded to the array and ordering of household tasks performed by study participants, can infer the tasks performed based on images captured by the device.
Privacy Study Rich Schulz, Pitt Urban and Social Research Explore various dimensions of privacy in the QoLT context with the ultimate goal of informing design of technologies that minimize potential privacy concerns.
Rich Stimuli Data Collection Scott Beach, Pitt Urban and Social Research Develop techniques to better convey new QoLT product concepts for evaluation by prospective endusers and other stakeholders, including graphical simulations, Wizard of Oz studies and storyboards/videos, and to obtain more valid reactions and ratings of QoLT Systems that can be used to better inform design of systems still under development.
QoLT Policy and Adoption Analysis Kate Seelman, Pitt Rehabilitation Science and Technology Analyze facilitators and barriers to commercialization of QoLT Center technologies.
QoLT Handbook Rich Schulz, Pitt Urban and Social Research Produce a book that introduces, defines and provides an overview of quality of life technologies as an emerging multidisciplinary endeavor. Provide a resource for students, faculty and researchers in the social, engineering and computer sciences on the methods and tools for identifying, developing and disseminating (marketing and delivering) technologies that enhance the quality of life.
