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Record W7042498919

The Perceived Influence of Non-Cognitive Skills on the Student Post-Secondary Journey

2021· article· en· W7042498919 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessPremiseHigher educationInstitutionQualitative researchStudy skillsCommunity collegeAcademic advisingProcess (computing)Time management
DOInot available

Abstract

fetched live from OpenAlex

Learners typically enter higher education by meeting the academic threshold placed on them by their institution; however, their ability or inability to traverse the multi-interactional elements of post-secondary life are what underlie the premise of this research study. Over 320,000 students begin their post-secondary journey at a Canadian institution each year (Statistics Canada, 2019), and of those students, approximately 20-25% will withdraw before their second year (Grayson & Grayson, 2003). Of the students who choose to attend a community college in the Greater Toronto Area, 29-45% will never complete their program (Lopez-Rabson & McCloy, 2013). However, questions have been raised as to learner preparedness when entering higher education and whether today’s learners possess the non-cognitive skill levels needed to handle their new learning environment and to adequately engage with the resources designed to support their transition, success, and retention (Adams, 2012; Savitz-Romer & Bouffard, 2012). As a result, this study explored the current level, value, and role of non-cognitive skills in today’s college learners, along with the impact these skills have on their post-secondary journey. More specifically, the how and what stakeholders have experienced with non-cognitive skills were explored to understand its impact on student post-secondary experiences, academic and social development, engagement, and ultimately the decision-making process and ability to persist to graduation. Qualitative data were collected in the fall of 2019 at an Ontario community college located in the Greater Toronto Area. Semi-structured interviews were conducted using Interpretive Phenomenological Analysis as the research method. In total, the lived experiences of nine college stakeholders consisting of three students, two staff members, two faculty members, and two administrators were analyzed and interpreted to gain the perspectives of those who occupy the Ontario college ecosystem. Although not generalizable, results showed that staff, faculty members, and administrators perceived non-cognitive skills to be lacking among today’s college learners at a recognizable level. This, in turn, was said to contribute to student difficulties with juggling new responsibilities, coping with tragedies, forming new friendships and social circles, participating in academic and social activities, and making controlled decisions. These skill deficiencies were also found to contribute to students questioning their place within higher education and to situations where bumps along the college journey cannot be overcome. Student participants of this study held varying views regarding current skill levels. Student stories revealed perceptions of non-cognitive skill levels among the student population as lacking, good, and unknown. Nonetheless, non-cognitive skills were found to have a positive impact on a learner’s post-secondary journey and all stakeholder groups identified a need for institutions to work toward developing these skills among their student population. Three recommendations were offered to build community awareness and create skill-development opportunities. The recommendations encouraged institutions to: 1) plan, integrate, and embed non-cognitive skills development in all facets of college life from student services to the classroom; 2) raise non-cognitive skills awareness and development through exposure and education; 3) provide upfront disclosure of the essential skills needed for program and student success.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.302
Teacher spread0.282 · 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.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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