Coping with University Education: The relationships of Time Management Behaviour and Work Engagement with the Five Factor Model Aspects

Douglas, Heather; Bore, Miles; Munro, Don

doi:10.1016/j.lindif.2015.12.004

Cited by 30 publications

(27 citation statements)

References 43 publications

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“…Industriousness (partialling Orderliness), Openness, and Intellect appear to be robust predictors of components of work engagement (vigor, dedication, and absorption;Bakker, Schaufeli, Leiter, & Taris, 2008;Douglas, Bore, & Munro, 2016;Woods & Sofat, 2013). Intellect (distinct from Openness) also predicts more effortful cognitive engagement during a difficult cognitive task (Smillie, Varsavsky, Avery, & Perry, 2016), whereas Openness (distinct from Intellect) has been linked with deeper engagement in abstract art (Fayn, Tiliopoulos, & MacCann, 2015).…”

Section: Personality Traits and (P)erma Well-beingmentioning

confidence: 99%

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well-Being

Sun¹,

Kaufman²,

Smillie³

2016

Preprint

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Objective: Personality traits are associated with well-being, but the precise correlates vary acrosswell-being dimensions and within each Big Five domain. This study is the first to examine the unique associations between the Big Five aspects (rather than facets) and multiple well-being dimensions. Method: Two samples of U.S. participants (Total N = 706, Mage = 36.17, 54% female) recruited via Amazon’s Mechanical Turk completed measures of the Big Five aspects and subjective, psychological, and PERMA well-being. Results: One aspect within each domain was more strongly associated with well-being variables. Enthusiasm and Withdrawal were strongly associated with a broad range of well-being variables, but other aspects of personality also had idiosyncratic associations with distinct forms of positive functioning (e.g., Compassion with positive relationships, Industriousness with accomplishment, and Intellect with personal growth). Conclusions: An aspect-level analysis provides an optimal (i.e., parsimonious yet sufficiently comprehensive) framework for describing the relation between personality traits and multiple ways of thriving in life.

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Section: Personality Traits and (P)erma Well-beingmentioning

confidence: 99%

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well-Being

Sun¹,

Kaufman²,

Smillie³

2016

Preprint

View full text Add to dashboard Cite

show abstract

“…The PERMA‐Profiler operationalizes the engagement dimension in terms of absorption, feeling excited and interested in things, and losing track of time while doing things you enjoy. Industriousness (partialing Orderliness), Openness, and Intellect appear to be robust predictors of components of work engagement (vigor, dedication, and absorption; Bakker, Schaufeli, Leiter, & Taris, ; Douglas, Bore, & Munro, ; Woods & Sofat, ). Intellect (distinct from Openness) also predicts more effortful cognitive engagement during a difficult cognitive task (Smillie, Varsavsky, Avery, & Perry, ), whereas Openness (distinct from Intellect) has been linked with deeper engagement in abstract art (Fayn, Tiliopoulos, & MacCann, ).…”

Section: Personality Traits and Three Taxonomies Of Well‐beingmentioning

confidence: 99%

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well‐Being

Sun

Kaufman

Smillie

2017

Journal of Personality

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Objective: Personality traits are associated with well-being, but the precise correlates vary across well-being dimensions and within each Big Five domain. This study is the first to examine the unique associations between the Big Five aspects (rather than facets) and multiple well-being dimensions. Method: Two samples of U.S. participants (Total N = 706, M age = 36.17, 54% female) recruited via Amazon's Mechanical Turk completed measures of the Big Five aspects and subjective, psychological, and PERMA well-being. Results: One aspect within each domain was more strongly associated with well-being variables. Enthusiasm and Withdrawal were strongly associated with a broad range of well-being variables, but other aspects of personality also had idiosyncratic associations with distinct forms of positive functioning (e.g., Compassion with positive relationships, Industriousness with accomplishment, and Intellect with personal growth). Conclusions: An aspect-level analysis provides an optimal (i.e., parsimonious yet sufficiently comprehensive) framework for describing the relation between personality traits and multiple ways of thriving in life.

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“…A study of psychology students in Australia found that conscientious students tend to have better time management scores and engagement scores [15]. It also found that students with higher engagement scores were more likely to be "quick" learners, whereas students with higher time management scores were likely to be "consistent" learners.…”

Section: Procrastination and Timely Approachesmentioning

confidence: 99%

What to do? A Review of the Academic Time-Based Decision-Making Literature

Rupar

Strong

2019

PCEEA

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Time-based activities at Universities are shifting toward a more transactional approach, yet there is little understanding of the time management capabilities of students in adapting to a more flexible structure. Although many studies report on efforts to address engineering students being stressed, surfacelearning oriented, and prone to missing class, few studies address how these relate to students’ time management. In an effort to explore how students value, prioritize, and spend their time, this paper proposes a new term, “Academic Time-Based Decision-Making” (ATBDM), which lies at the crossroads of time management, selfefficacy, and self-regulated learning. Factors influencing ATBDM are currently mostly speculative, although class scheduling, social norms, and the internet and social media are frequent causal suggestions. It is also unknown as to how ATBDM is conducted across the breadth of students, which skills or “tools” are employed, and whether the process or influencing factors change over the course of time. A research study to explore why and how engineering students make academic decisions is proposed. By providing deeper insights into the factors influencing ATBDM, it may be possible to develop more effective support or intervention to assist students in making balanced and positive choices.

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Coping with University Education: The relationships of Time Management Behaviour and Work Engagement with the Five Factor Model Aspects

Cited by 30 publications

References 43 publications

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well-Being

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well-Being

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well‐Being

What to do? A Review of the Academic Time-Based Decision-Making Literature

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