International Journal of Science Education · 2009 · 192 citations · 15 references
EducationScience EducationTeachingBiology EducationPedagogyScience InstructionBiology InstructionScience Achievement AssessmentSimulation-based AssessmentSimulation-based InstructionSimulation-based LearningSystems ThinkingAchievement IndicatorsAssessment Of Systems ThinkingControl Group DesignMatched Control GroupMotivational Goal SettingSimulation EffectivenessSimulation PedagogySimulation-based Science Learning
The study aimed to evaluate how different teaching methods in biology lessons influence students’ systems thinking within Education for Sustainable Development. The authors compared three instructional conditions—special lessons, a computer‑simulated forest ecosystem scenario, and their combination—against a control group, assessing 424 sixth‑grade students’ systems‑thinking achievement and justification scores while controlling for logical thinking, grades, memory span, and motivation. Results showed that only the combined lesson and simulation condition significantly raised achievement scores, while both the simulation alone and the combined condition improved justification scores, highlighting the strengths and limitations of realistic computer simulations for fostering systems thinking.
This study's goal was to analyze various teaching approaches within the context of natural science lessons, especially in biology. The main focus of the paper lies on the effectiveness of different teaching methods in promoting systems thinking in the field of Education for Sustainable Development. The following methods were incorporated into the study: special lessons designed to promote systems thinking, a computer‐simulated scenario on the topic "ecosystem forest," and a combination of both special lessons and the computer simulation. These groups were then compared to a control group. A questionnaire was used to assess systems thinking skills of 424 sixth‐grade students of secondary schools in Germany. The assessment differentiated between a conceptual understanding (measured as achievement score) and a reflexive justification (measured as justification score) of systems thinking. The following control variables were used: logical thinking, grades in school, memory span, and motivational goal orientation. Based on the pretest–posttest control group design, only those students who received both special instruction and worked with the computer simulation showed a significant increase in their achievement scores. The justification score increased in the computer simulation condition as well as in the combination of computer simulation and lesson condition. The possibilities and limits of promoting various forms of systems thinking by using realistic computer simulations are discussed.
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