Reinhard Marc-André, Weissgerber Sophia Christin, Wenzel Kristin
Department of Psychology, University of Kassel, Kassel, Germany.
Front Psychol. 2019 Aug 21;10:1623. doi: 10.3389/fpsyg.2019.01623. eCollection 2019.
We examined if the benefits of generation for long-term learning depend on individual differences in performance expectancies (PEs) prior to learning. We predicted that a greater generative activity (problem-solving) compared to less generative activity (worked-examples) should be more effective for pupils with higher PEs, especially in the long run. As a comparison group for problem-solving, we implemented a special type of worked-examples that decreased engaging in self-explanations, because our main prediction focused on PEs moderating the long-term effectivity of less versus greater generative activities. We tested students' immediate and delayed performance (after 3 months) using coherent curricular materials on linear functions in a sample of eighth graders (advanced school track). The results were partly in line with our predictions: Although we found no moderation of PE and generative activity, we obtained the predicted 3-way interaction of PE, generative activity, and time. Immediately, greater generative activity (problem-solving) was beneficial for pupils with higher PEs, while for pupils with lower PEs, problem-solving versus worked-examples did not differ. In the delayed test, this pattern reversed: for lower PEs, greater generative activity outperformed less generative activities, but there was no difference for higher PEs. Unexpectedly, the initial advantage of problem-solving for higher PEs could not be maintained, decreasing over three subsequent months, whereas the performance in the worked-example condition remained at a comparable level for higher PEs. The change in performance in the problem-solving condition for lower PEs was descriptively less pronounced than in the worked-example condition, but statistically not different. We further investigated the effects of problem-solving and worked-examples on changes in PEs after learning and after testing, hinting at gradual decrease in PEs and greater metacognitive accuracy in the problem-solving condition due to a reduction of overconfidence.
我们研究了生成式学习对长期学习的益处是否取决于学习前成绩预期(PEs)的个体差异。我们预测,与较少生成式活动(示例学习)相比,较多生成式活动(解决问题)对成绩预期较高的学生更有效,尤其是从长期来看。作为解决问题的对照组,我们实施了一种特殊类型的示例学习,减少自我解释,因为我们的主要预测集中在成绩预期对较少与较多生成式活动长期有效性的调节作用。我们使用关于线性函数的连贯课程材料,对八年级(高等学校轨道)的一个样本学生进行了即时和延迟(3个月后)表现测试。结果部分符合我们的预测:虽然我们没有发现成绩预期和生成式活动的调节作用,但我们得到了成绩预期、生成式活动和时间的预测三因素交互作用。即时情况下,较多生成式活动(解决问题)对成绩预期较高的学生有益,而对成绩预期较低的学生,解决问题和示例学习没有差异。在延迟测试中,这种模式逆转:对于成绩预期较低的学生,较多生成式活动优于较少生成式活动,但对于成绩预期较高的学生没有差异。出乎意料的是,解决问题对成绩预期较高学生的初始优势无法维持,在随后三个月中下降,而对于成绩预期较高的学生,示例学习条件下的表现保持在相当水平。成绩预期较低的学生在解决问题条件下的表现变化在描述上不如示例学习条件下明显,但在统计上没有差异。我们进一步研究了解决问题和示例学习对学习后和测试后成绩预期变化的影响,暗示成绩预期逐渐下降,并且由于过度自信的降低,解决问题条件下的元认知准确性更高。