Beyond descriptions and good practices: Empirical effects on students? learning outcomes of active learning environments in political science curricula

D. Duchatelet*, P. Bursens, S. Usherwood, M. Oberle

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)

Abstract

The introduction of the symposium sets out a possible research agenda on producing systematic empirical evidence of the effect of active learning tools to the discipline of political science, inspired by and drawing from educational research. It discusses the core research questions of such an agenda. Do active learning environments enhance political science students’ learning outcomes? Does the introduction of active learning in political science curricula make a difference for cognitive, affective, and/or regulative learning outcomes? In addition, it draws attention upon which conditions make active learning tools more or less effective? What are the inhibiting and stimulating factors? Are there differential effects according to specific student attributes such as gender, prior knowledge, prior education, or prior results? In short, it discusses the dependent variables (effects on what learning outcomes exactly), the independent variables (such as student dispositions), the intervening variable (types of active learning environments), methods and data, and the teaching context (such as level of education and intra- and extra-curricular contexts). Finally, we introduce the papers of the symposium, which are illustrations of how this agenda can be implemented in the field, covering a variety of effects, learning environments, methods, data, and contexts.
Original languageEnglish
Pages (from-to)327-335
Number of pages9
JournalEuropean Political Science
Volume19
Issue number3
DOIs
Publication statusPublished - Sept 2020
Externally publishedYes

Keywords

  • Active learning
  • DECISION-MAKING
  • EU
  • Learning outcomes
  • Political science teaching
  • SIMULATION GAMES
  • Simulations

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