Within the development of learning simulations; microtasks are defined as short, focused worksheets that present. a single concept to be applied in full later into the simulation. Microtasks are particularly effective because they:
1.) Shift cognitive burden during the learning simulation.
2.) Build what could be described as a "toolbox" of skills. This could also be described as cumulative knowledge.
3.) Prove that each task can be used in a variety of situations. Retrieval of microtasked information (via worksheets) are particularly significant when they have been used with greater frequency and/or variety.

Microtasks in Context

Guided simulations are models for teaching and learning that have actual learning applications. Within the Watt study, specific rules for learning are set by the teacher for the students to follow. The idea is that this simulated learning environment will create sufficient grade or career outcomes for students in "actual" learning environments. Simulations can help reduce disparities in learning by modeling and educational experience for students who have not had sufficient learning opportunities.

Guided Simulations in Context

Generally guided simulation success is measured in various ways using statistics that determine significance.

Measuring Success in Guided Simulation

Simulated learning environments can combine motivation with active learning strategies (e.g. microtasking) to produce favorable outcomes for students in academic settings. Students that are considered "low-achieving" in a learning discipline are able to develop strategies through models to ultimately learn at similar rates to "high-achieving" counterparts.

University of Michigan - Ann Arbor

Watt, K. (2020). Guided simulation: A new model of game-based pedagogy for non-stem students in the community college (Order No. 28155962). Available from ProQuest Dissertations & Theses Global. (2469874237). Retrieved from https://proxy.lib.umich.edu/login?url=https://www.proquest.com/dissertations-theses/guided-simulation-new-model-game-based-pedagogy/docview/2469874237/se-2?accountid=14667

Motivation in Education: Motivational Factors

In an educational context, motivation can be a large factor in the success outcomes of a student. Motivation in pedagogy is considered to be influenced by several aspects:
1.) Intrinsic Measures
2.) Self-Determination
3.) Self-Efficacy
4.) Anticipated Career or Grade Outcomes


Factors in Educational Motivation

Guided Simulations Models in Education

Engagement is defined as the extent to which a student takes part in educationally effective practices. For example, a student's engagement could be measured by how actively they may take notes or receive information being taught.

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