Students’ Behavioral Intentions Regarding the Future Use of Quantitative Research Methods

Tominc, Polona; Krajnc, Maruša; Vivod, Klavdija; Lynn, Monty L.; Frešer, Blaž

doi:10.2478/ngoe-2018-0009

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…A survey conducted among 101 students in the master's degree program in Economics and Business at the University of Maribor indicates a significant and positive correlation between students' attitudes toward quantitative methods and their intentions to utilize them in the future [24]. The trustworthiness of analyses and predictions is enhanced by the use of statistical techniques.…”

Section: Usefulness Of Statistics and Quantitative Methodsmentioning

confidence: 99%

Artificial Intelligence and Business Studies: Study Cycle Differences Regarding the Perceptions of the Key Future Competences

Tominc

Rožman

2023

Education Sciences

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The purpose of this article is to identify the differences in various aspects of the perception of artificial intelligence by students of economics and business studies at different levels of study and, on this basis, to formulate recommendations both to the higher education institutions themselves, which educate in the field of economic and business sciences, as well as to curriculum designers. First, we utilized descriptive statistics to analyze the responses for each construct among undergraduate and postgraduate students. In the second part, we employed the Kolmogorov-Smirnov and Shapiro-Wilk tests to assess the normality of data distribution. Finally, in the third part, we employed the non-parametric Mann-Whitney U test to identify the differences between undergraduate and postgraduate students. The results show that statistically significant differences can be identified especially in how students of both study levels see and understand the importance of AI. Although we did not identify significant differences between students of both levels in how they see their role in the future labor market, which will be (or already is) characterized by artificial intelligence, we must emphasize that students of both levels evaluate their roles modestly in this respect. Therefore, on this basis, we have made recommendations for more active development and integration of AI in the study process; the article presents important suggestions for improving education to prepare students for the business world of artificial intelligence.

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Section: Usefulness Of Statistics and Quantitative Methodsmentioning

confidence: 99%

Artificial Intelligence and Business Studies: Study Cycle Differences Regarding the Perceptions of the Key Future Competences

Tominc

Rožman

2023

Education Sciences

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“…Undergraduate studies in statistics mainly focus on data management, data analysis, and numerical analysis. At the master's level, however, the use of statistics becomes more demanding, with an emphasis on multivariate methods [37] . Doctoral programs aim to equip students to use statistical tools for research independently.…”

Section: Artificial Intelligence In Education and Students' Perceptio...mentioning

confidence: 99%

Building skills for the future of work: Students’ perspectives on emerging jobs in the Data and AI Cluster through artificial intelligence in education

Rožman,

Tominc,

Vrečko

2023

Environ Soc Psychol

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The main goal of this paper is to supplement the existing literature with new knowledge in the field of artificial intelligence and education, which relates to the importance of courses in statistics, quantitative methods, and students’ perspectives about emerging jobs in the Data and AI Cluster. A multidimensional model of the perceived usefulness of artificial intelligence in students’ perspective about emerging jobs in the Data and AI Cluster was formed; it includes constructs students’ knowledge of the meaning of “artificial intelligence”, their perception of its usefulness in their studies, the perceived ease of use of AI, the perceived usefulness of statistics and quantitative methods, students’ perspective on work skills for the future, and their perspective on emerging jobs in the Data and AI Cluster. The empirical research included 197 undergraduate and postgraduate students from the University of Maribor, Faculty of Economics and Business in Slovenia, who had prior knowledge of statistics obtained during their studies. The data were analyzed using structural equation modeling. The main findings of our research are important for curricula development and stress these implications: emphasis on teaching the meaning and importance of AI, integration of AI in coursework, strengthening quantitative skills and developing future work skills that are aligned with emerging trends in the Data and AI Cluster.

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Leveraging computer technologies and instructional approaches to facilitate learning

et al. 2023

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Students’ Behavioral Intentions Regarding the Future Use of Quantitative Research Methods

Cited by 4 publications

References 35 publications

Artificial Intelligence and Business Studies: Study Cycle Differences Regarding the Perceptions of the Key Future Competences

Artificial Intelligence and Business Studies: Study Cycle Differences Regarding the Perceptions of the Key Future Competences

Building skills for the future of work: Students’ perspectives on emerging jobs in the Data and AI Cluster through artificial intelligence in education

Leveraging computer technologies and instructional approaches to facilitate learning

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