Teaching professional skills during the pandemic: Does delivery mode matter?

DeArmond, Sarah; Rau, Barbara L.; Buelow-Fischer, Jennifer; Desai, Ashay; Miller, Andrew J.

doi:10.1016/j.ijme.2023.100770

Cited by 5 publications

(3 citation statements)

References 48 publications

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“…Based on these problems, the world must solve several new challenges, including reforming the education system following the medical state (and other global factors) (DeArmond et al, 2023). A general financial and economic response is needed to facilitate distance education even for the most vulnerable segments of the population (Stoian et.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Students' Professional Skills and Institutions of Higher Education during the Pandemic

Kubitskyi¹,

Pavelkiv²,

Yatsyk³

et al. 2023

JCT

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The article is devoted to evaluating the pedagogical process of students' professional skills development during the pandemic. The study aims to investigate the formation of students' professional skills and determine their level of studying during a pandemic. The author's team surveyed to obtain empirical data on students' professional skills development. Surveying students and teachers were carried out during distance learning during a pandemic. The questionnaire results show the advantages and disadvantages of distance learning from the student's point of view. It is essential for education, built on a student-centered learning model. The main advantages of distance learning are a convenient schedule, combining study with work, acquiring new skills, the ability to do favorite things, and increasing motivation for self-education. Distance education's disadvantages in a pandemic include technical problems, including the lack of Internet, the difficulty of learning self-organization, and the low information and computer skills among students and teachers. The study results showed that students and teachers need support and motivation for distance learning.

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Section: Literature Reviewmentioning

confidence: 99%

Development of Students' Professional Skills and Institutions of Higher Education during the Pandemic

Kubitskyi¹,

Pavelkiv²,

Yatsyk³

et al. 2023

JCT

View full text Add to dashboard Cite

show abstract

“…Professional skills refer to the student's employability and career readiness. It enables students to transition from college to career and ensures that employers are satisfied with the students they are hiring [17]. A study conducted in New Zealand investigated soft skills required for software professionals and found that communication-related skills are most in demand in job advertisements [16].…”

Section: A Students' Soft Skillsmentioning

confidence: 99%

Predicting Student's Soft Skills Based on Socio-Economical Factors: An Educational Data Mining Approach

Kannan,

Jet,

Ramakrishnan

et al. 2023

JOIV : Int. J. Inform. Visualization

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Recent changes in the labor market and higher education sector have made graduates' employability a priority for researchers, governments, and employers in developed and emerging nations. There is, however, still a dearth of study about whether graduate students acquire the employability skills that businesses want of them because of their higher education. To determine a student's future employment and career path, it is critical to evaluate their soft skills. An emerging area called educational data mining (EDM) aims to gather enormous volumes of academic data produced and maintained by educational institutions and to derive explicit and specific information from it. This paper aims to predict students' soft skills such as professional, analytical, linguistic, communication, and ethical skills, based on their socio-economic, academic, and institutional data by leveraging data mining methods and machine learning techniques. All five soft skills were predicted using prediction models created using linear regression, probabilistic neural networks, and simple regression tree techniques. This study used a dataset from an open source that Universidad Technologica de Bolivar published. It covers academic, social, and economic data for 12,411 students. The experimental results demonstrated that the linear regression algorithm performed better than the others in predicting all five soft skills compared to machine learning methods. This finding can assist higher education institutions in making informed decisions, providing tailored support, enhancing student success and employability, and continuously modifying their programs to meet the needs of students.

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“…Furthermore, the current academic discourse has indeed delved into the mechanisms through which online learning reverberates across educational outcomes. This exploration has encompassed dimensions such as self-directed learning approaches and attitudes ( Shao et al, 2022 ), the influence of online learning technology ( Gupta and Yadav, 2023 ), and the modes of teaching delivery ( DeArmond et al, 2023 ). Although each of the aforementioned studies has delved into the impact mechanism from its respective perspective on singular and individual factors, to our knowledge, a systematic approach is lacking, leaving the underlying processes in a “black box.” Consequently, interactions among factors, mediation effects, and complex influence pathways remain understudied and undisclosed.…”

Section: Introductionmentioning

confidence: 99%

Exploring the ecosystem of K-12 online learning: an empirical study of impact mechanisms in the post-pandemic era

Wang,

2023

Front. Psychol.

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With the normalization of the COVID-19 epidemic, online learning has gained prominence in the post-epidemic era. Gaining a comprehensive understanding of how online learning influences learning outcomes is essential for the success of large-scale online education initiatives. This study proposed a conceptual model based on an ecosystem theory to investigate the impact of K-12 online learning on academic achievement. A survey was conducted among 1,625 K-12 school students in Shenzhen, China, utilizing Structural Equation Modeling (SEM) for data analysis. The results indicate the following: (1) online learning engagement directly predicts academic achievement and mediates personal and environmental factors; (2) Family involvement and school support have similar impacts, with family involvement slightly stronger; (3) The Big Five Personality, especially conscientiousness, openness, and emotional stability, mediate the influence of family and school investment; and (4) School support affects academic achievement through online learning engagement, with emotional engagement being most significant. Our model illuminates the mediating role of online learning engagement, the impact of family involvement and school support, and the significance of Big Five Personality traits in K-12 online learning. This study contributes to the theoretical and practical understanding of the online learning ecosystem in the post-pandemic era, seldom explored in K-12 settings.

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Teaching professional skills during the pandemic: Does delivery mode matter?

Cited by 5 publications

References 48 publications

Development of Students' Professional Skills and Institutions of Higher Education during the Pandemic

Development of Students' Professional Skills and Institutions of Higher Education during the Pandemic

Predicting Student's Soft Skills Based on Socio-Economical Factors: An Educational Data Mining Approach

Exploring the ecosystem of K-12 online learning: an empirical study of impact mechanisms in the post-pandemic era

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