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Modeling in Therapy01:26

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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New developments in technology-assisted supervision and training: a practical overview.

Tony Rousmaniere1, Allan Abbass, Jon Frederickson

  • 1University of Alaska, Fairbanks.

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|September 19, 2014
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Summary
This summary is machine-generated.

Online clinical supervision and training utilize new technologies like videoconferencing and cloud software. This review discusses their benefits and limitations for enhancing learning and security in supervision.

Keywords:
Internet supervisiondistance supervisiononline trainingpsychotherapy training

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Area of Science:

  • Clinical Psychology
  • Mental Health Training
  • Digital Health

Background:

  • Clinical supervision and training are increasingly moving online.
  • Technological advancements offer new tools for remote professional development.

Purpose of the Study:

  • To describe accessible and adopted technologies in online clinical supervision and training.
  • To discuss the benefits and limitations of these technologies.
  • To provide recommendations for best practices in online supervision.

Main Methods:

  • Review of three key technologies: videoconference supervision, cloud-based file sharing, and clinical outcome tracking software.
  • Inclusion of partial transcripts from online supervision sessions as examples.
  • Discussion of ethical, privacy, and security considerations.

Main Results:

  • Videoconferencing, cloud sharing, and outcome tracking are prominent online supervision tools.
  • Technology offers benefits for accessibility and data management in supervision.
  • Challenges include maintaining the supervisory alliance, ensuring privacy, and addressing security concerns.

Conclusions:

  • Technology can enhance clinical supervision and training, but careful implementation is crucial.
  • Recommendations focus on improving experiential learning, the supervisory alliance, and online security protocols.
  • Ethical considerations, privacy, and data security must be prioritized in digital supervision platforms.