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Basic actions to reduce dropout rates in distance learning.

Pablo Gregori1, Vicente Martínez1, Julio José Moyano-Fernández1

  • 1Universitat Jaume I de Castellón, Dept. Matemáticas, Instituto Universitario de Matemáticas y Aplicaciones de Castellón, Campus Riu Sec s/n, Castellón de la Plana, Castellón, ES 12071 Spain.

Evaluation and Program Planning
|October 15, 2017
PubMed
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Technological innovation aids teaching methods, but online courses like Massive Open Online Courses (MOOCs) face high dropout rates. This study analyzes actions at Universitat Jaume I to effectively decrease distance learning attrition.

Area of Science:

  • Educational Technology
  • Online Learning
  • Higher Education

Background:

  • Modern society relies on knowledge and information, driving technological innovation in education.
  • Online learning platforms, including Massive Open Online Courses (MOOCs), are prevalent but suffer from significant student dropout rates (e.g., 90% in MOOCs, 50% in UNED courses).
  • High attrition rates in distance education pose a challenge to effective knowledge dissemination and skill development.

Purpose of the Study:

  • To analyze specific interventions implemented in the Master's Degree in Computational Mathematics at Universitat Jaume I.
  • To evaluate the effectiveness of these interventions in reducing student dropout rates in a distance learning context.
  • To provide evidence-based strategies for improving student retention in online academic programs.
Keywords:
Distance learningDropout rateInformation and communication technologies in education

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Main Methods:

  • Analysis of actions implemented within a specific Master's program in Computational Mathematics.
  • Collection and examination of data related to student participation and completion rates.
  • Comparative assessment of attrition rates before and after the implementation of analyzed interventions.

Main Results:

  • The implemented actions demonstrated a positive impact on student engagement and persistence.
  • Data analysis confirmed a noticeable decrease in the dropout rate among distance learning students in the program.
  • The study provides empirical support for the effectiveness of targeted strategies in combating online course attrition.

Conclusions:

  • Specific, data-driven interventions can significantly mitigate high dropout rates in distance learning programs.
  • The findings offer valuable insights for educators and institutions seeking to enhance student retention in online higher education.
  • Successful strategies involve a combination of pedagogical adjustments and support mechanisms tailored to the online learner.