The Virginia Applied Behavior Analysis Consortium: Preparing Behavior Analysts Using a Collaborative Model

被引:0
|
作者
Laura C. Chezan
Selena J. Layden
Gena P. Barnhill
Christine Hoffner Barthold
机构
[1] Old Dominion University,Department of Communication Disorders and Special Education
[2] Virginia Commonwealth University,undefined
[3] Lynchburg College,undefined
[4] George Mason University,undefined
关键词
Behavior analysis; Collaborative program; Training; Special education; Higher education;
D O I
10.1007/s40617-017-0195-7
中图分类号
学科分类号
摘要
The development and the evolution of the Virginia Applied Behavior Analysis Consortium, a collaborative project between four institutions of higher education in the state of Virginia, are described. The main goal of the program is to address the shortage of certified behavior analysts by preparing special education teachers and autism specialists to implement effective behavior-analytic interventions in natural environments. In this article, we briefly discuss the history and the purpose of the program, its components, the evolution of the program, the advantages and outcomes of a collaborative model, and future directions for improvement.
引用
收藏
页码:214 / 227
页数:13
相关论文
共 50 条
  • [41] ON DIFFERENTIATION IN APPLIED BEHAVIOR ANALYSIS
    FAWCETT, SB
    [J]. BEHAVIOR ANALYST, 1985, 8 (02): : 143 - 150
  • [42] Collaboration Model Canvas Using the Business Model Canvas to Model Productive Collaborative Behavior
    Kristensen, Kjetil
    Ucler, Caglar
    [J]. 2016 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION/IEEE LNTERNATIONAL TECHNOLOGY MANAGEMENT CONFERENCE (ICE/ITMC), 2016,
  • [43] Using Grammar Induction to Model Adaptive Behavior of Networks of Collaborative Agents
    Mulder, Wico
    Adriaans, Pieter
    [J]. GRAMMATICAL INFERENCE: THEORETICAL RESULTS AND APPLICATIONS, ICGI 2010, 2010, 6339 : 163 - 177
  • [44] Network Threat Behavior Detection and Trend Analysis Based on the Collaborative Model
    Ma, Dong
    Wang, Yongjun
    [J]. 2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 109 - 112
  • [45] Collaborative Filtering Analysis of Consumption Behavior Based on the Latent Class Model
    Kobayashi, Manabu
    Mikawa, Kenta
    Goto, Masayuki
    Hirasawa, Shigeichi
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1926 - 1931
  • [46] Formal model of human erroneous behavior for safety analysis in collaborative robotics
    Askarpour, Mehrnoosh
    Mandrioli, Dino
    Rossi, Matteo
    Vicentini, Federico
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2019, 57 : 465 - 476
  • [47] USING APPLIED BEHAVIOR ANALYSIS PROCEDURES TO CHANGE THE BEHAVIOR OF STUDENTS WITH VISUAL DISABILITIES - A RESEARCH REVIEW
    DEMARIO, NC
    CROWLEY, EP
    [J]. JOURNAL OF VISUAL IMPAIRMENT & BLINDNESS, 1994, 88 (06) : 532 - 543
  • [48] Collaborative approach to Network Behavior Analysis
    Rehak, Martin
    Pechoucek, Michal
    Grill, Martin
    Bartos, Karel
    Celeda, Pavel
    Krmicek, Vojtech
    [J]. GLOBAL E-SECURITY, PROCEEDINGS, 2008, 12 : 153 - +
  • [49] Library and information science applied studies on collaborative information behavior
    Sapa, Remigiusz
    [J]. LIBRARY & INFORMATION SCIENCE RESEARCH, 2022, 44 (04)
  • [50] Positive behavior support and applied behavior analysis - A familial alliance
    Dunlap, Glen
    Carr, Edward G.
    Horner, Robert H.
    Zarcone, Jennifer R.
    Schwartz, Ilene
    [J]. BEHAVIOR MODIFICATION, 2008, 32 (05) : 682 - 698