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Empirical assessment of e-learning on performance in principles of economics

Author

Listed:
  • Aljamal, Ali
  • Cader, Hanas
  • Chiemeke, Charles
  • Speece, Mark

Abstract

This research assessed the effectiveness of online assignments in principles of macroeconomics classes. Students were divided into two groups where the first was required to submit online assignments (treatment) while the other was not (control). Standardized examinations were used as Pretest and Posttest to quantify the online assignments’ impact on students’ performance. Results showed no significant difference in performance between treatment and control groups. Furthermore, when looking closely at students’ performance within the treatment group, results indicate that neither the use of online assignments, nor the degree or intensity of their use tends to have significant impact on students’ performance.

Suggested Citation

  • Aljamal, Ali & Cader, Hanas & Chiemeke, Charles & Speece, Mark, 2015. "Empirical assessment of e-learning on performance in principles of economics," International Review of Economics Education, Elsevier, vol. 18(C), pages 37-48.
  • Handle: RePEc:eee:ireced:v:18:y:2015:i:c:p:37-48
    DOI: 10.1016/j.iree.2015.02.002
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    Cited by:

    1. Agasisti, Tommaso & Barucci, Emilio & Cannistrà, Marta & Marazzina, Daniele & Soncin, Mara, 2023. "Online or on-campus? Analysing the effects of financial education on student knowledge gain," Evaluation and Program Planning, Elsevier, vol. 98(C).
    2. Wuthisatian, Rattaphon, 2020. "Student exam performance in different proctored environments: Evidence from an online economics course," International Review of Economics Education, Elsevier, vol. 35(C).

    More about this item

    Keywords

    e-Learning; Economic education; Online assignments; Higher education;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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