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Record W7055759772

Defining and Aligning Expectations: A Hermeneutic Phenomenological Study of the Expectations of Professional Academic Advisors and Undergraduate Students

2022· article· en· W7055759772 on OpenAlexaboutno aff

Bibliographic record

VenueScholarlyCommons (University of Pennsylvania) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic advisingHigher educationLearning developmentStandardizationOrder (exchange)Professional development
DOInot available

Abstract

fetched live from OpenAlex

This dissertation investigated the expectations both professional academic advisors and undergraduate students, respectively, possessed of academic advising and of the advisor role. As students come to their postsecondary endeavors with increased needs, expectations, and consumer-mentalities, it is important to understand their expectations – and meet those expectations – to improve student satisfaction with advising (Propp & Rhodes, 2006). Given the increased use of professional academic advisors across higher education institutions, the literature does not speak to their expectations of academic advising. It is also difficult to ascertain how to best perform academic advising to meet student expectations in various contexts because there is a lack of standardization within the academic advising profession (Johnson et al., 2019). Although mass standardization is not the goal (Menke, Duslak, & McGill, 2020), academic advising should be purposefully structured based on institutional and student characteristics (Ender, Winston & Miller, 1982), the strengths of different advisor types (Allen & Smith, 2008a; Reinarz, 2000), and student needs (NACADA, 2005) and expectations (Anderson et al., 2014). Therefore, this hermeneutic phenomenological study explored students’ and professional academic advisors’ expectations of academic advising and of the advisor’s role. Through document review, semi-structured interviews, reflective journaling, and member reflections, I analyzed the lived experiences of students and advisors in order to understand how their expectations converge and diverge. Two of the main findings of the study were a.) previous experiences, in various ways, informed both advisor and student expectations, and b.) student and advisor expectations were aligned in terms of important skills for advisors to demonstrate and important outcomes of academic advising. The results of the study have future implications to inform advisor training and development, and the way in which advising is formally structured across and within various institutions to meet students’ needs and expectations of academic advising.

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)0.021
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.022
Scholarly communication0.0110.009
Open science0.0020.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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.

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
Published2022
Admission routes1
Has abstractyes

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