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Record W340998098

Research Needed on the Use of CAS Standards and Guidelines.

2003· article· en· W340998098 on OpenAlexaboutno aff
Don G. Creamer

Bibliographic record

VenueCollege student affairs journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationHigher educationMillerMedical educationService (business)Professional associationPublic relationsPolitical scienceProfessional developmentPsychologyPedagogySociologyMedicineBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

This article suggests research projects that would extend the knowledge base about the use of CAS standards and guidelines in useful ways. Included are five research questions and specific research methodologies to guide researchers. The Council for the Advancement of Standards in Higher Education (CAS), a consortium of professional associations in higher education, was founded in 1979 and published its first book of standards for practice in 1986 (Bryan, Winston, & Miller, 1991; Miller, 2001). CAS was founded on the belief that self-assessment and self-regulation were a legitimate alternative to traditional accreditation practices that depend for their completion on external reviews. Founders also believed that consensual standards, appropriately applied, would contribute significantly to quality assurance in higher education. The CAS approach allows professionals in the field to promulgate CAS standards and guidelines for use by other practitioners in a flexible manner that most ideally fits a particular institutional culture and needs of a particular educational program or service. Evidence suggests that CAS standards and guidelines increasingly are used in educational programs and services in higher education. CAS sells hundreds of copies of The Book of Professional Standards for Higher Education and Self-Assessment Guides each year (P. Mable, personal communication, November 25, 2002). Studies by Arminio (2002) reveal impressive use of standards and guidelines in disparate educational programs and services throughout higher education in the U.S. and Canada. Annual reports of CAS activities (Creamer & Mable, 2002) show many association-related activities using CAS materials each year. This evidence and informal communication of CAS leaders at professional meetings and conferences and in the conduct of their routine CAS-related duties collectively suggest wide-spread use of CAS standards and guidelines by thousands of professionals each year. Scant evidence is available, however, that shows the effects of the use of such standards and guidelines on student learning and development or on educational programs and services. Furthermore, users of CAS standards and guidelines seem increasingly satisfied with the materials published by CAS in the context of the purposes for which they were created. This evidence mostly is anecdotal, but consistently suggests that CAS standards and guidelines have heuristic value to practitioners and that they use them to establish new programs, to evaluate program effectiveness, to conduct assessment activities, to complete self-studies for accreditation, to carry out in-service education programs, to structure planning activities, and other similar functions. Likewise, many, if not all, master's level preparation programs use the CAS standards in their teaching of young professionals that leads them to expect the routine use of CAS standards and guidelines in their careers. Student Learning and Developmental Outcomes One of the hallmarks of CAS standards and guidelines is their insistence that each functional area be grounded in the purpose of promoting student learning and development. Every standard published by CAS includes a list of relevant and desirable outcomes, mostly developmental outcomes that must be a focus for each functional area. This list of outcomes forms a template for all CAS standards and is a centerpiece of CAS General Standards and includes: * intellectual growth, * ability to communicate effectively, * realistic self-appraisal, * enhanced self-esteem, * clarification of values, * clarification of career choices, * leadership development, * healthy behaviors, * meaningful interpersonal relationships, * ability to work independently and collaboratively, * social responsibility, * satisfying and productive lifestyles, * appreciation of diversity, * spiritual awareness, and * achievement of personal and educational goals. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.166
metaresearch head score (Gemma)0.342
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.834
Threshold uncertainty score0.880

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1660.342
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.010
Science and technology studies0.0030.008
Scholarly communication0.0150.030
Open science0.0070.006
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0210.005

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 head0.468
GPT teacher head0.562
Teacher spread0.094 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainEvaluation
GenreCommentary

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

Citations12
Published2003
Admission routes1
Has abstractyes

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