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

2019 ◽  
Author(s):  
Nicholas J. Rupar ◽  
David S. Strong
Keyword(s):  
Decision Making ◽  
Time Management ◽  
Engineering Students ◽  
Self Regulated Learning ◽  
Factors Influencing ◽  
Academic Time ◽  
Class Scheduling ◽  
Learning Factors ◽  
Management Capabilities ◽  
Academic Decisions

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.  

scholarly journals Factors Influencing Academic Achievement in Preclinical Students

2020 ◽  
Vol 3 (3) ◽  
pp. p8
Author(s):  
Yanint Raksadawan ◽  
Chantacha Sitticharoon ◽  
Nipith Charoenngam ◽  
Pailin Maikaew ◽  
Issarawan Keadkraichaiwat
Keyword(s):  
Academic Achievement ◽  
Learning Strategies ◽  
Time Management ◽  
Internet Use ◽  
Self Regulation ◽  
Normal Weight ◽  
Self Regulated Learning ◽  
Management Learning ◽  
Factors Influencing ◽  
Positive Correlations

Academic achievement is a major concern of preclinical students. This study aimed to determine factors influencing academic achievement in preclinical years. Questionnaires were sent to all students of the 2019 class at the 1st (2019/1) and 2nd preclinical years (2019/2) and the 2018 class at the 2nd preclinical year (2018/2) without sampling, with 85.11% (280/328), 86.32% (284/328), and 83.54% (274/328) being returned, respectively. Students were divided into Q1 (lowest)-Q2-Q3-Q4 (highest) according to quartiles of their GPA. Q4 students had higher examination expectation and achievement of study targets in all classes and more time spent on non-recorded-e-lecture study in the 2018/2 and 2019/2 classes; but lower time spent on recorded-e-lecture study in the 2019/1 class and non-academic-internet use in the 2019/2 and 2018/2 classes than other groups. In contrast, Q1 students had higher instances of lateness and absence/year in the 2019/2 and 2018/2 classes but lower happiness scores in the 2018/2 class compared to other groups. Obese and overweight students had significantly lower GPA than normal weight and underweight students of the 2019/2 class (p<0.05 all). The current year GPA had significant positive correlations with the previous year GPA, examination expectation, achievement of study targets, and time spent on non-recorded-e-lecture study; but had significant negative correlations with time spent on recorded-e-lecture study and non-academic internet use, instances of lateness and absence/year, and BMI (p<0.05 all). In conclusion, students with more self-regulation strategies in many aspects of self-regulated learning, including time management, learning strategies, emotion control, motivation, and self-efficacy, had better academic outcomes.

scholarly journals Time for a Change? A Research Update and Pilot Study Results on Academic Time-Based Decision-Making

2020 ◽  
Author(s):  
Nicholas J. Rupar ◽  
David S. Strong
Keyword(s):  
Decision Making ◽  
Pilot Study ◽  
Time Management ◽  
Online Survey ◽  
Engineering Students ◽  
High Stress ◽  
Survey Instrument ◽  
Learning Theories ◽  
Study Results ◽  
New Instrument

Engineering students in Canada and around the world are facing numerous challenges with their time, including absenteeism from class, surface approach to learning, and high stress levels.  A research study to understand the time management habits of engineering students is ongoing and a pilot study has been completed.  This paper contains an overview of the relevant background theories, the application of these theories to a new survey instrument, and the pilot study used to test and improve this instrument. The new survey instrument on time management and decision making was required as existing instruments published in the literature were considered to be flawed and inadequate for this study.  The new instrument incorporates a decision-making dimension following the think-plan-do models of self-regulated learning theories.  Analysis of this instrument will assume clusters, rather than factors, of time management behaviours to be the basis for grouping individuals. The pilot study was conducted on a number of self-selected graduate engineering students in November 2019.  Participants filled out an online survey and then some volunteered for a think-aloud interview.  Changes resultant from the pilot study analysis included question modifications, Likert scale modifications, and user experience improvements.  The pilot study resulted in an overall improvement to the validity, reliability, and completeness of the survey instrument. The full study is currently being administered to undergraduate engineering students.  The results will be published to help inform the manner in which time management is taught and used by engineering students. 

Other Factors Influencing Religious Vocations

2018 ◽  
Author(s):  
Thu T. Do
Keyword(s):  
Decision Making ◽  
Secondary School ◽  
Women Religious ◽  
Religious Life ◽  
Men And Women ◽  
Factors Influencing ◽  
Religious Vocation ◽  
Devotional Practices ◽  
Religious Vocations ◽  
Primary And Secondary School

This chapter presents an overview of aspects that may influence women and men religious on their religious vocational decision during their childhood with their family and parish, their attendance of primary and secondary school, their participation in parish life, and their college years. The influential aspects addressed are: attending Mass regularly and devotional practices, having the opportunity to discuss and receive encouragement from others to discern a religious vocation, the witness of men and women religious, and being engaged in youth and voluntary ministry programs. The chapter concludes that while not every individual religious has opportunities to experience these activities in various environments before he or she decides to enter religious life, all the aspects complement one another and have an impact on religious vocational discernment and decision-making.

scholarly journals Factors influencing decision making for implementing e-health in light of the COVID-19 outbreak in Gulf Cooperation Council countries

2021 ◽  
Author(s):  
Fahad M Al-Anezi
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Healthcare Access ◽  
Demographic Factors ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Gulf Cooperation Council ◽  
Factors Influencing ◽  
Electronic Health ◽  
Novel Coronavirus

Abstract Background Electronic health (e-health) approaches such as telemedicine, mobile health, virtual healthcare and electronic health records are considered to be effective in increasing access to healthcare services, reducing operational costs and improving the quality of healthcare services during the coronavirus disease 2019 (COVID-19) outbreak, a pandemic resulting from the spread of a novel coronavirus discovered in December 2019. In this context, the aim of this study was to identify the most important factors influencing decision making on the implementation of e-health in Gulf Cooperation Council (GCC) member states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates), which are in the process of digitizing healthcare services. Methods This study reviewed the literature to identify the important factors influencing decision making on e-health. In addition, a questionnaire-based survey was conducted in order to identify the most important criteria to be considered in decision making on e-health. The survey link was forwarded to 978 healthcare practitioners and 42 experts (purposive sampling), from which a final sample of 892 (864 practitioners and 28 experts) was achieved, reflecting a response rate of 87.45%. Results Of the 44 factors identified under seven themes (strategic, quality, management, technology, function characteristics, economic, sociocultural and demographic factors), 22 factors were identified to be the most important criteria. Conclusions Findings from this study suggest that decision making in relation to e-health is a complex process that requires consideration of various factors. It was also found that attention should be paid to sociocultural and demographic factors, which may need to be considered in increasing healthcare access during the COVID-19 outbreak.

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