Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course. / Lambach, Daniel; Kärger, Caroline; Goerres, Achim.
In: European Political Science, Vol. 16, No. 4, 01.12.2017, p. 553-569.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Lambach D, Kärger C, Goerres A. Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course. European Political Science. 2017 Dec 1;16(4):553-569. doi: 10.1057/s41304-016-0078-3

Bibtex

@article{2b0979b897dd4236a69d6e70a2395cb7,
title = "Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course",
abstract = "The inverted classroom model (ICM) is an active learning approach that reserves class meetings for hands-on exercises while shifting content learning to the preparatory stage. The ICM offers possibilities for pursuing higher-order learning objectives even in large classes. However, there are contradicting reports about students{\textquoteright} reactions to this kind of teaching innovation. With the ICM making inroads in political science teaching, this paper discusses how students evaluate this method. We report results from an application of the ICM to an introductory international relations course. In our course, students{\textquoteright} reactions to the ICM varied greatly. Using a regression analysis of student evaluation scores, we find that students{\textquoteright} preference for collaborative learning best predicted their preference for the ICM over the traditional lecture format.",
keywords = "Politics, inverted classroom, Flipped Classroom, Lehre, Lernen, Didactics/teaching methodology, Vorlesung, Lehre , inverted classroom, Flipped Classroom, aktives Lernen, inverted classroom, flipped classroom, lecture, active learning, blended learning",
author = "Daniel Lambach and Caroline K{\"a}rger and Achim Goerres",
year = "2017",
month = dec,
day = "1",
doi = "10.1057/s41304-016-0078-3",
language = "English",
volume = "16",
pages = "553--569",
journal = "European Political Science",
issn = "1680-4333",
publisher = "Palgrave Macmillan",
number = "4",

}

RIS

TY - JOUR

T1 - Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course

AU - Lambach, Daniel

AU - Kärger, Caroline

AU - Goerres, Achim

PY - 2017/12/1

Y1 - 2017/12/1

N2 - The inverted classroom model (ICM) is an active learning approach that reserves class meetings for hands-on exercises while shifting content learning to the preparatory stage. The ICM offers possibilities for pursuing higher-order learning objectives even in large classes. However, there are contradicting reports about students’ reactions to this kind of teaching innovation. With the ICM making inroads in political science teaching, this paper discusses how students evaluate this method. We report results from an application of the ICM to an introductory international relations course. In our course, students’ reactions to the ICM varied greatly. Using a regression analysis of student evaluation scores, we find that students’ preference for collaborative learning best predicted their preference for the ICM over the traditional lecture format.

AB - The inverted classroom model (ICM) is an active learning approach that reserves class meetings for hands-on exercises while shifting content learning to the preparatory stage. The ICM offers possibilities for pursuing higher-order learning objectives even in large classes. However, there are contradicting reports about students’ reactions to this kind of teaching innovation. With the ICM making inroads in political science teaching, this paper discusses how students evaluate this method. We report results from an application of the ICM to an introductory international relations course. In our course, students’ reactions to the ICM varied greatly. Using a regression analysis of student evaluation scores, we find that students’ preference for collaborative learning best predicted their preference for the ICM over the traditional lecture format.

KW - Politics

KW - inverted classroom

KW - Flipped Classroom

KW - Lehre

KW - Lernen

KW - Didactics/teaching methodology

KW - Vorlesung

KW - Lehre

KW - inverted classroom

KW - Flipped Classroom

KW - aktives Lernen

KW - inverted classroom

KW - flipped classroom

KW - lecture

KW - active learning

KW - blended learning

UR - http://www.scopus.com/inward/record.url?scp=85029902551&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/344c820e-4ee9-3cda-a90c-8db794094446/

U2 - 10.1057/s41304-016-0078-3

DO - 10.1057/s41304-016-0078-3

M3 - Journal articles

VL - 16

SP - 553

EP - 569

JO - European Political Science

JF - European Political Science

SN - 1680-4333

IS - 4

ER -

Recently viewed

Publications

  1. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  2. Isocodal and isospectral points, edges, and pairs in graphs and how to cope with them in computerized symmetry recognition
  3. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  4. Building a process layer for business applications using the blackboard pattern
  5. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  6. Global text processing in CSCL with learning protocols
  7. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  8. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  9. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  10. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  11. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  12. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  13. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  14. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  15. Anomaly detection in formed sheet metals using convolutional autoencoders
  16. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  17. Selection and Recognition of Statistically Defined Signals in Learning Systems
  18. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  19. Neural Combinatorial Optimization on Heterogeneous Graphs
  20. Constructions and Reconstructions. The Architectural Image between Rendering and Photography
  21. Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
  22. Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
  23. Dynamic Lot Size Optimization with Reinforcement Learning
  24. Latent structure perceptron with feature induction for unrestricted coreference resolution
  25. Intersection tests for the cointegrating rank in dependent panel data
  26. Dispatching rule selection with Gaussian processes
  27. Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
  28. Optimizing sampling of flying insects using a modified window trap
  29. Finding Similar Movements in Positional Data Streams
  30. Exploration strategies, performance, and error consequences when learning a complex computer task
  31. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform