scholarly journals Competency Corner, Part Three: Practice-based Weightings of the CBPS

2007 ◽  
Vol 69 (4) ◽  
Author(s):  
T. Winslade ◽  
N Winslade ◽  
R Chou ◽  
B Cyr ◽  
B Hawkins
Keyword(s):  
Relative Weight ◽  
Performance Standards ◽  
Rating System ◽  
Self Directed Learning ◽  
Standard Assessment ◽  
Directed Learning ◽  
Working Groups ◽  
Competency Based ◽  
Vision Care

The first two articles in this series outlined the task, research, terminology and processes the Competence Committee used to develop the Competency-based Performance Standards (CBPS). These standards were designed as a framework for revision of the Canadian Standard Assessment in Optometry (CSAO) to directly link the exam and practice requirements of Canadian Optometrists. This linkage required determination of the relative weight to be assigned to each of the various competencies. Working groups of practising optometrists rated the frequency and criticality of performance of each of the competencies using a standardized rating system. Results indicated that the majority of a revised CSAO would focus on providing comprehensive eye and vision care (78%), followed by management (11%) and collaboration (10%). The ratings also allowed calculation of the appropriate weighting of the underlying general attributes. The heaviest weighting was assigned to candidates’ professional optometric knowledge and the ability to apply this knowledge (41%), followed by communication (27%), planning (13%), ethics (11%) and self-directed learning (8%). The last article in this series will describe work to evaluate the competence-based weightings of the current CSAO and to describe plans for future versions of the CSAO.

Mapping the Clinical Experience of a New York City Residency Program During the COVID-19 Pandemic

2021 ◽  
Vol 16 (6) ◽  
Author(s):  
David W Rhee ◽  
Jay Pendse ◽  
Hing Chan ◽  
David T Stern ◽  
Daniel J Sartori
Keyword(s):  
New York ◽  
Residency Program ◽  
Clinical Experiences ◽  
Self Directed Learning ◽  
Clinical Exposure ◽  
Diagnosis Codes ◽  
Icd 10 ◽  
Directed Learning ◽  
Competency Based

The COVID-19 pandemic has dramatically disrupted the educational experience of medical trainees. However, a detailed characterization of exactly how trainees’ clinical experiences have been affected is lacking. Here, we profile residents’ inpatient clinical experiences across the four training hospitals of NYU’s Internal Medicine Residency Program during the pandemic’s first wave. We mined ICD-10 principal diagnosis codes attributed to residents from February 1, 2020, to May 31, 2020. We translated these codes into discrete medical content areas using a newly developed “crosswalk tool.” Residents’ clinical exposure was enriched in infectious diseases (ID) and cardiovascular disease content at baseline. During the pandemic’s surge, ID became the dominant content area. Exposure to other content was dramatically reduced, with clinical diversity repopulating only toward the end of the study period. Such characterization can be leveraged to provide effective practice habits feedback, guide didactic and self-directed learning, and potentially predict competency-based outcomes for trainees in the COVID era.

An Exploration of How Competency-Based Education Can Support Self-Directed Learners and Learning

2022 ◽  
pp. 193-208
Author(s):  
Naomi Rose Boyer ◽  
Jessica Mason ◽  
Michelle Navarre Cleary ◽  
Julie A. Telkamp
Keyword(s):  
Future Research ◽  
Strong Impact ◽  
Continuous Learning ◽  
Self Directed Learning ◽  
Workplace Skills ◽  
Competency Based Education ◽  
Directed Learning ◽  
Competency Based ◽  
The Relationship

At a time when workplace skills are rapidly evolving, continuous learning is increasingly important, and the responsibility for learning has shifted from others (parents, schools, teachers, employers) to individuals. Self-directed learning (SDL) can help learner-earners thrive in a skills-based economy. Competency-based education (CBE) is well suited to appeal to self-directed learners and to scaffold learner self-direction; however, existing research on the relationship between SDL and CBE programs is limited. This chapter uses case studies of the experiences of two self-directed learners in a CBE program to explore the role of self-direction in their learning journeys. The key takeaways are that (1) self-direction can have a strong impact on learner success and (2) CBE programs are uniquely positioned to support self-directed learners. The chapter concludes with a discussion of considerations for future research.

scholarly journals Relationship between Student’s Self-Directed-Learning Readiness and Academic Self-Efficacy and Achievement Motivation in Students

2016 ◽  
Vol 10 (1) ◽  
pp. 225 ◽  
Author(s):  
Nasim Saeid ◽  
Tahere Eslaminejad
Keyword(s):  
Achievement Motivation ◽  
Self Efficacy ◽  
Study Skills ◽  
Academic Motivation ◽  
Simple Random Sampling ◽  
Self Directed Learning ◽  
Learning Readiness ◽  
Directed Learning ◽  
Academic Self Efficacy

Self-directed learning readiness to expand and enhance learning, This is an important goal of higher education, Besides his academic self-efficacy can be improved efficiency and Achievement Motivation, so understanding how to use these strategies by students is very important. Because the purpose this study is determination of relationship between students self-directed learning and academic self-efficacy and Achievement Motivation in Payamnoor students (2012-2013). In a correlation-descriptive study 322 bachelor students were selected from Payamnoor University of Rafsanjan (2014-2015) through a Simple random sampling. Data collection was SDL questionnaire, academic self-efficacy questionnaire and Achievement Motivation questionnaire. Data were analyzed by multiple regression, simple regression, variance analysis and T-test. The obtained findings from this research showed that there is a relation between student’s Self-directed learning readiness and academic self-efficacy and academic motivation in Students University of Payamnoor. Also Independence in learning and Study skills and problem solving has the most ability for academic self-efficacy and academic motivation prediction and there was the most correlation.According to results and that self-directed learning readiness to enhance self-efficacy and academic motivation, it is necessary to teach strategies to students.

scholarly journals Determination of Innovation Indicators in Teaching-Learning Activities of Curricula and Their Application in Art University

2017 ◽  
Vol 9 (4) ◽  
pp. 8
Author(s):  
Setareh Mousavi ◽  
Mohammadreza Nili ◽  
Ahmadreza Nasr ◽  
Mohammad Masoud
Keyword(s):  
Art Education ◽  
Quantitative Methods ◽  
Learning Activities ◽  
Structured Interviews ◽  
Self Directed Learning ◽  
Qualitative And Quantitative Methods ◽  
Directed Learning ◽  
Competency Based ◽  
Teaching Learning ◽  
Innovation Indicators

The present research mainly aims to determine the innovation indicators for teaching in Art University. Qualitative and quantitative methods have been used. The data were collected from semi-structured interviews and Self-made questionnaire. The findings reveal that the most important innovation indicators consist of: Competency-based Art education, Acquaintance with framework of appreciating the art works, Self-directed learning, Choice-based art education Attention to Aesthetics, Experimental leaning through Art Education, Developing Different Approaches to Making Art, Provides the excellent opportunities to learn personal and professional skills, Stress on the description, explanation, critical process cooperative exploration-based learning activities, application of new teaching methods and the application of innovation indicators for “teaching-learning activities” is less than medium.

Explorations: a New Approach to Self-Directed Learning in a Competency-Based Curriculum

2016 ◽  
Vol 26 (4) ◽  
pp. 777-785 ◽  
Author(s):  
Christopher S. Keator ◽  
B. L. Dickinson ◽  
W. L. Lackey ◽  
A. Morris ◽  
K. M. Quesnelle ◽  
...  
Keyword(s):  
Self Directed Learning ◽  
New Approach ◽  
Directed Learning ◽  
Competency Based

scholarly journals Utility of Web 2.0 tools for self-directed learning among first year MBBS Students

2017 ◽  
Vol 06 (03) ◽  
pp. 208-214
Author(s):  
Patil Shrish ◽  
S.M Manjunath ◽  
Madhumati Nidoni ◽  
Nagesh Raju G
Keyword(s):  
Web 2.0 ◽  
Online Discussions ◽  
First Year ◽  
Self Directed Learning ◽  
Web 2.0 Tools ◽  
Directed Learning ◽  
Professional Doctor ◽  
Competency Based ◽  
Development Of Competencies ◽  
The Web

Abstract Background and aims: To use Web 2.0 tools for learning human histology by First year MBBS students and thus make them aware of the features of these tools. To assess, by way of a feedback, the utility of the web 2.0 tools as instruments for self- directed learning. Materials and Methods:A questionnaire based longitudinal study was administered to sixty students. Their knowledge level about Web 2.0 tools, Self directed learning and Competency based learning were assessed. Then they were asked to participate in online discussions using Web 2.0 tools. Opinion regarding the utility of these Web 2.0 tools was collected using pre-validated questionnaires. Results: Awareness of Web 2.0 tools and Self-Directed Learning [SDL] was low. Even though students found the Web 2.0 tools to be good instruments for learning of that material which was not taught in routine classes, several students preferred their learning to be guided by teachers. Conclusion: Web 2.0 tools are good instruments for Self Directed Learning which leads to better development of competencies required of a professional doctor. Web 2.0 tools need to be integrated into our current curriculum to be fully utilised. These tools are yet to find acceptance by the students.

scholarly journals Recommender – Potentials and Limitations for Self-Study in Higher Education from an Educational Science Perspective

2020 ◽  
Vol 2 (2) ◽  
pp. 34
Author(s):  
Christina Gloerfeld ◽  
Silke Wrede ◽  
Claudia De Witt ◽  
Xia Wang
Keyword(s):  
Recommendation System ◽  
Learning Strategy ◽  
Educational Data Mining ◽  
Mining Machine ◽  
Educational Science ◽  
Self Directed Learning ◽  
Self Study ◽  
Study And Teaching ◽  
Directed Learning

Artificial intelligence is one of the disruptive technologies, that drives change in our society and economy, but also in our educational system. Educational data mining, machine learning and expert systems are increasingly being used to support study and teaching. This article takes an educational science perspective to present an approach, how to use a recommendation system for students to support inquiry-based learning and self-directed learning. Along the course of the semester various AI-based applications like automatic assessments, interest visualizations or a learning strategy finder assist in the different phases of the semester. When planning and designing this recommendation systems, the most important premise is to foster self-determination of the students.

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