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Managing the Process of Evaluation of the Academic Teachers with the Use of Data Mart and Business Intelligence

Author

Listed:
  • Piotr Muryjas
  • Monika Wawer
  • Magdalena Rzemieniak

Abstract

Purpose: The purpose of this research is to present the original model of management of academic teachers' remote work evaluation that implements an analytical approach. Design/Methodology/Approach: Desk research and interview method have been applied in this paper. The literature review concerned two areas, i.e., the analytical approach to management and the management of university educational processes. Unstructured interviews conducted with university authorities located in Poland were the second research method applied. Findings: Based on literature studies, conducted interviews and authors' personal experience, the original model of academic teachers' remote work evaluation that implements an analytical approach and utilises data mart concept and business intelligence tools has been created. This model contains the following elements, the conceptual model of data mart allowing the evaluation of courses realisation and teachers job, KPIs utilised in this evaluation, and the dashboard presenting KPI's values. Two main areas representing courses evaluation and teachers’ evaluation have been considered. Practical Implications: The authors propose the solution that utilises an analytical approach to improve the management of the evaluation process of educational processes at the university. Created model may be a valuable source of inspiration for university authorities responsible for ensuring the high efficiency of these processes, and for people responsible for developing teachers’ competencies. According to the authors, the implementation of this model can contribute to the improvement of the academic education. Originality/Value: An analytical approach in evaluation of educational processes proposed by authors is innovative in nature and is particularly important in the context of increasingly widespread remote education. Its adoption to management states a big challenge for university authorities.

Suggested Citation

  • Piotr Muryjas & Monika Wawer & Magdalena Rzemieniak, 2021. "Managing the Process of Evaluation of the Academic Teachers with the Use of Data Mart and Business Intelligence," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 127-140.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special2:p:127-140
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    References listed on IDEAS

    as
    1. Matthew J. Liberatore & Wenhong Luo, 2010. "The Analytics Movement: Implications for Operations Research," Interfaces, INFORMS, vol. 40(4), pages 313-324, August.
    2. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2020. "A Business Intelligence Framework for Analyzing Educational Data," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    3. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2019. "Designing Performance Measurement Systems," Management for Professionals, Springer, number 978-3-030-01192-5, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Management; job evaluation; KPI; data mart; business intelligence; academic teacher.;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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