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Record W1605152252

The Challenges and Opportunities of Using a Competency Based Education Model in Social Work Education

2012· dissertation· en· W1605152252 on OpenAlexfundno aff
Nélida María Montoya Ramírez

Bibliographic record

VenueoURspace (University of Regina) · 2012
Typedissertation
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
FundersUniversity of ReginaCouncil on Social Work Education
KeywordsWork (physics)Engineering ethicsPedagogyEngineeringEngineering managementSociologyMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

The ongoing expansion of neo-liberal globalization is affecting the milieu of both social work education and its practice and, in some countries, is actively promoting the adoption of Competency Based Education (CBE) models for education. To date, research addressing the question of whether CBE provides a useful theoretical framework in designing and implementing a curriculum for a Bachelor of Social (BSW) Work program has been sporadic. Given the importance of the ‘CBE question’ for education in general, and social work education in particular, the nature and process of current CBE curriculum designs for social work programs needs to be well understood, and the researchbase on this subject needs to increase. Considering the lack of research on the topic, this dissertation focuses on ascertaining why CBE models have been adopted in social work education internationally and analyses how the process of applying those models to curricula design and implementation has been carried out. Thus, the research seeks to answer the question: Does the CBE model serve as a useful theoretical framework to design and implement a Bachelor Social of Work program curriculum? The overall goal of this research is to advance to the dialogue and debate about the CBE issue within the social work academic community. It is, therefore, important to consider the views and opinions of professors who support utilizing CBE models and those who oppose it as well. The research also provides a conceptual framework concerned with key terms used throughout the dissertation. As well, the study presents theoretical information related to the major conceptual underpinnings of topics and contents related to the postsecondary education environment including its learning process, and approaches to curriculum development. The theoretical and philosophical foundations of CBE and classifications of competencies, CBE curriculum’s challenges, and criticisms of the CBE model are provided. Finally, an overview of the history of social work education in different countries is included. The research approach must be identified as a generic qualitative study. The methods used to gather research data included document analysis, face- to-face interviewing, and Information Communication Technology (ICT) tools, including e-interviewing or interview conducted by e-mail and a website blog. The data results were formally conceptualized and coded in several categories. These categories were created by scrutinizing and reflecting on the practical experiences furnished by social work educators who detailed the implications, challenges, and opportunities of using a CBE model for social work curriculum design. The conclusions of the research indicate that many factors are pressuring or providing the impetus for the use of CBE in curriculum design and implementation for social work programs. Given this context, it is vital for academics within social work faculties to analyze and discuss the opportunities and challenges presented by the need for curricula change and renewal. Such a proactive approach to meeting the challenge of change is in sharp contrast to a passive strategy of responding to both external and internal pressures for curriculum change and renewal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.373
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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