Meta-analytic evidence for the persuasive effect of narratives on beliefs,attitudes, intentions,and behaviors

Although narratives are often credited with the capacity to change opinions, empirical tests of this prediction have produced mixed results. To provide a more precise test of narrative's effect on beliefs, attitudes, intentions, and behaviors, we performed meta-analyses on studies that evaluated narrative's persuasive influence on these outcomes. Results suggested positive relationships between exposure to a narrative and narrative-consistent beliefs (k?=?37; N?=?7,376; r?=?.17), attitudes (k?=?40; N?=?7,132; r?=?.19), intentions (k?=?28; N?=?5,211; r?=?.17), and behaviors (k?=?5; N?=?978; r?=?.23). Moderator analyses on the effect of fictionality yielded mixed results. Neither medium of presentation nor research design influenced the magnitude of the narrative-persuasion relationship. However, results suggested the presence of unidentified moderators.     

Measuring scientific reasoning – a review of test instruments

Education systems increasingly emphasize the importance of scientific reasoning skills such as generating hypotheses and evaluating evidence. Despite this importance, we do not know which tests of scientific reasoning exist, which skills they emphasize, how they conceptualize scientific reasoning, and how well they are evaluated. Therefore, this article reviews 38 scientific reasoning tests. They used to primarily consist of multiple-choice questions, but since then have become more diverse, even including tests that automatically analyse virtual experiments. Furthermore, this review revealed that the tests focus on the skills of generating hypotheses, generating evidence, evaluating evidence, and drawing conclusions. Additionally, conceptualizations of scientific reasoning have moved towards a domain-specific set of different but coordinated skills over the years. Finally, concluding from gaps in test evaluation, a future focus should be on testing theoretical assumptions, comparing different scientific reasoning tests, and how relevant test results are in predicting criterion variables like academic performance.     

Testing the instructional fit hypothesis: the case of self-explanation prompts

Cognitive science principles should have implications for the design of effective learning environments. The self-explanation principle was chosen for the current work because it has developed significantly over the last 20 years. Early formulations hypothesized that self-explanation facilitated inference generation to supply missing information about a concept or target skill, whereas later work hypothesized that self-explanation facilitated mental-model revision (Chi, Handbook of research on conceptual change, 2000). To better understand the complex relationship between prior knowledge, cognitive processing, and changes to a learner’s representation, two classes of self-explanation prompts (gap-filling and mental-model revision) were tested in the domain of physics problem solving. Prompts designed to focus the learner on gap-filling led to greater learning and a reduction in the amount of tutoring assistance required to solve physics problems. The results are interpreted as support for the instructional fit hypothesis—the idea that the efficacy of instruction is contingent on the match between the cognitive processing that the instruction elicits, how those processes modify the underlying knowledge representations for the task, and the utility of those representations for the task or problem.