scholarly journals Training MI Interventionists across Disciplines: A Descriptive Project

2015 ◽  
Vol 1 (3) ◽  
pp. 20-24 ◽  
Author(s):  
Michael B. Madson ◽  
Alicia S. Landry ◽  
Elaine F. Molaison ◽  
Julie A. Schumacher ◽  
Kathy Yadrick
Keyword(s):  
Learning Environment ◽  
Motivational Interviewing ◽  
Training Program ◽  
Health Intervention ◽  
Training Process ◽  
The Common ◽  
Counseling Approach

Motivational Interviewing (MI) is a counseling approach that is versatile and can be applied in many professional settings. Therefore, teaching MI skills to multidisciplinary groups simultaneously has the potential to be quite beneficial for strengthening the MI skills of different groups. This paper describes a project in which professionals and students from psychology and nutrition/ dietetics were trained in MI in an attempt to bolster both groups’ ability to implement MI as part of a larger health intervention project. Specifically, we outline the common themes that emerged among the trainees’ experiences. Implementing a multidisciplinary training program in which trainees use their expertise and contribute to the training process appeared to have created a rich learning environment. 

Brief Motivational Interviewing Training for Outreach in School Health Programming

2021 ◽  
Vol 36 (1) ◽  
Author(s):  
Kathryn J. DeShaw ◽  
Laura D. Ellingson ◽  
Laura Liechty ◽  
Gabriella M. McLoughlin ◽  
Gregory J. Welk
Keyword(s):  
Motivational Interviewing ◽  
Training Program ◽  
School Health ◽  
Effect Sizes ◽  
Extension Field ◽  
School Wellness ◽  
Phone Calls ◽  
Quasi Experimental ◽  
Health Programming ◽  
Training Protocol

This study assessed a brief 6-week motivational interviewing (MI) training program for extension field specialists (EFS) involved in supporting a statewide school wellness initiative called SWITCH. A total of 16EFS were instructed in MI principles to support the programming and half (n = 8) volunteered to participate in the hybrid (online and in-person) MI training program. Phone calls between EFS and school staff involved in SWITCH were recorded and coded using the Motivational Interviewing Treatment Integrity (MITI) system to capture data on utilization of MI principles. Differences in MI utilization between the trained (n=8) and untrained (n=8) EFS were evaluated using Cohen’s d effect sizes. Results revealed large differences for technical global scores (d=1.5) and moderate effect sizes for relational global components (d=0.76) between the two groups. This naturalistic, quasi-experimental study indicates a brief MI training protocol is effective for teaching the spirit and relational components of MI to EFS.

scholarly journals Delivering Quality Motivational Interviewing Training: A Survey of MI Trainers

2012 ◽  
Vol 1 (1) ◽  
pp. 16-24 ◽  
Author(s):  
Michael B. Madson ◽  
Claire Lane ◽  
Jeremy J. Noble
Keyword(s):  
Adult Learning ◽  
Best Practices ◽  
Motivational Interviewing ◽  
Mixed Method ◽  
Training Process ◽  
Stages Of Learning ◽  
Future Focus

The MI community places an emphasis on attempting to understand the training process. Yet little is known about what MI trainers perceive as the important variables in training MI. A mixed method survey of 92 members of the Motivational Interviewing Network of Trainers was used to elicit important variables to consider in providing quality MI training. Based on results, it appears that MI trainers are familiar with Miller and Moyers’ (2006) eight stages of learning MI and used them to develop trainings. However, the respondents reported that they do not use these stages to evaluate trainings. Moreover, the respondents emphasized the importance of trainee and trainer variables in organizing trainings. They also provided varied opinions regarding the important ingredients in developing MI competency. The authors discuss the need for further empirical exploration of the important training ingredients and the eight stages model. Finally, the need for exploration of how these ingredients help trainees develop competency and future focus on the integration of best practices in adult learning is discussed.

Personalized Information Retrieval in a Semantic-based Learning Environment

2011 ◽  
pp. 270-288 ◽  
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this paper, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage from the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

Personalized Information Retrieval in a Semantic-Based Learning Environment

2011 ◽  
pp. 370-389
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this chapter, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents, and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage of the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

The Effectiveness of Transferring Multi-Agent Behaviors From a Learning Environment in the Presence of Synthetic Social Structures

2005 ◽  
Author(s):  
Keith Garfield ◽  
Annie Wu ◽  
Mehmet Onal ◽  
Britt Crawford ◽  
Adam Campbell ◽  
...  
Keyword(s):  
Learning Environment ◽  
Autonomous Vehicles ◽  
Social Structures ◽  
Agent Behavior ◽  
The Social ◽  
Multi Agent ◽  
Group Members ◽  
The Common ◽  
Primary Focus ◽  
The Impact

The diverse behavior representation schemes and learning paradigms being investigated within the robotics community share the common feature that successful deployment of agents requires that behaviors developed in a learning environment are successfully applied to a range of unfamiliar and potentially more complex operational environments. The intent of our research is to develop insight into the factors facilitating successful transfer of behaviors to the operational environments. We present experimental results investigating the effects of several factors for a simulated swarm of autonomous vehicles. Our primary focus is on the impact of Synthetic Social Structures, which are guidelines directing the interactions between agents, much like social behaviors direct interactions between group members in the human and animal world. The social structure implemented is a dominance hierarchy, which has been shown previously to facilitate negotiation between agents. The goal of this investigation is to investigate mechanisms adding robustness to agent behavior.

scholarly journals How to optimise public health interventions: a scoping review of guidance from optimisation process frameworks

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sam McCrabb ◽  
Kaitlin Mooney ◽  
Benjamin Elton ◽  
Alice Grady ◽  
Sze Lin Yoong ◽  
...  
Keyword(s):  
Public Health ◽  
Scoping Review ◽  
Implementation Strategy ◽  
Public Health Intervention ◽  
Health Intervention ◽  
Health Interventions ◽  
Problem Identification ◽  
Key Concepts ◽  
The Common ◽  
The Impact

Abstract Background Optimisation processes have the potential to rapidly improve the impact of health interventions. Optimisation can be defined as a deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints. This study aimed to identify frameworks used to optimise the impact of health interventions and/or their implementation, and characterise the key concepts, steps or processes of identified frameworks. Methods A scoping review of MEDLINE, CINAL, PsycINFO, and ProQuest Nursing & Allied Health Source databases was undertaken. Two reviewers independently coded the key concepts, steps or processes involved in each frameworks, and identified if it was a framework aimed to optimise interventions or their implementation. Two review authors then identified the common steps across included frameworks. Results Twenty optimisation frameworks were identified. Eight frameworks were for optimising interventions, 11 for optimising implementation and one covered both intervention and implementation optimisation. The mean number of steps within the frameworks was six (range 3–9). Almost half (n = 8) could be classified as both linear and cyclic frameworks, indicating that some steps may occur multiple times in a single framework. Two meta-frameworks are proposed, one for intervention optimisation and one for implementation strategy optimisation. Steps for intervention optimisation are: Problem identification; Preparation; Theoretical/Literature base; Pilot/Feasibility testing; Optimisation; Evaluation; and Long-term implementation. Steps for implementation strategy optimisation are: Problem identification; Collaborate; Plan/design; Pilot; Do/change; Study/evaluate/check; Act; Sustain/endure; and Disseminate/extend. Conclusions This review provides a useful summary of the common steps followed to optimise a public health intervention or its implementation according to established frameworks. Further opportunities to study and/or validate such frameworks and their impact on improving outcomes exist.

scholarly journals Increasing Community Research Capacity to Address Health Disparities

2017 ◽  
Vol 12 (1) ◽  
pp. 55-66 ◽  
Author(s):  
Goldie Komaie ◽  
Christine C. Ekenga ◽  
Vetta L. Sanders Thompson ◽  
Melody S. Goodman
Keyword(s):  
Public Health ◽  
Learning Environment ◽  
Training Program ◽  
Community Based Participatory Research ◽  
Research Capacity ◽  
Research Process ◽  
Public Health Research ◽  
Community Research ◽  
Master Of Public Health ◽  
Public Health Training

The Community Research Fellows Training program is designed to enhance capacity for community-based participatory research; program participants completed a 15-week, Master of Public Health curriculum. We conducted qualitative, semistructured interviews with 81 participants from two cohorts to evaluate the learning environment and how the program improved participants’ knowledge of public health research. Key areas that provided a conducive learning environment included the once-a-week schedule, faculty and participant diversity, and community-focused homework assignments. Participants discussed how the program enhanced their understanding of the research process and raised awareness of public health–related issues for application in their personal lives, professional occupations, and in their communities. These findings highlight key programmatic elements of a successful public health training program for community residents.

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