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The testing effect is one of the strongest learning techniques documented to date. click here Although the effects of testing on high-level learning are promising, fewer studies on this have been done. In this classroom application of the testing effect, we aimed to 1) determine whether a testing effect exists on high-level testing; 2) determine whether higher-level testing has an effect on low-level content retention; and 3) determine whether content knowledge, cognitive skill, or additional components are responsible for this effect. Through a series of two experiments, we confirmed a testing effect on high-level items. However, improved content retention due to testing was not observed. We suggest that this high-level testing effect is due to a better ability to apply specific skills to specific content when this application process has appeared on a previous exam.Transfer of knowledge from one context to another is one of the paramount goals of education. Educators want their students to transfer what they are learning from one topic to the next, between courses, and into the "real world." However, it is also notoriously difficult to get students to successfully transfer concepts. This issue is of particular concern in biology and the life sciences, for which transfer of concepts between disciplines is especially critical to understanding. Students not only struggle to transfer concepts like energy from chemistry to biology but also struggle to transfer concepts like chromosome structures in cell division within biology courses. This paper reviews the current research and understanding of transfer from cognitive psychology. We discuss how learner abilities, taught material, and lesson characteristics affect transfer and provide best practices for biology and life sciences education.Psychological theories of motivation and performance are relevant to teaching and learning in the science, technology, engineering, and mathematics (STEM) disciplines. The present study applies Dweck's mindset theory of motivation to an examination of the relationship among instructor mindset, instructor motivational attitudes, and the use of effective teaching practices. Faculty members who teach undergraduate courses in STEM disciplines completed a survey designed to assess fixed versus growth mindset, mastery orientation (measures of motivation and efficacy), and teaching practices. Results supported a model consistent with Dweck's theory of motivation, whereby mastery orientation mediates the relationship between instructor mindset and teaching behaviors. It appears that this psychological theory of motivation may be helpful in understanding teaching and learning in STEM disciplines. More research using a variety of measures and teaching contexts is necessary before full applicability can be realized.Attention is thought to be the gateway between information and learning, yet there is much we do not understand about how students pay attention in the classroom. Leveraging ideas from cognitive neuroscience and psychology, we explore a framework for understanding attention in the classroom, organized along two key dimensions internal/external attention and on-topic/off-topic attention. This framework helps us to build new theories for why active-learning strategies are effective teaching tools and how synchronized brain activity across students in a classroom may support learning. These ideas suggest new ways of thinking about how attention functions in the classroom and how different approaches to the same active-learning strategy may vary in how effectively they direct students' attention. We hypothesize that some teaching approaches are more effective than others because they leverage natural fluctuations in students' attention. We conclude by discussing implications for teaching and opportunities for future research.National calls to transform undergraduate classrooms highlight the increasingly interdisciplinary nature of science, technology, engineering, and mathematics (STEM). As biologists, we use principles from chemistry and physics to make sense of the natural world. One might assume that scientists, regardless of discipline, use similar principles, resources, and reasoning to explain crosscutting phenomena. However, the context of complex natural systems can profoundly impact the knowledge activated. In this study, we used the theoretical lens of framing to explore how experts from different disciplines reasoned about a crosscutting phenomenon. Using interviews conducted with faculty (n = 10) in biology, physics, and engineering, we used isomorphic tasks to explore the impact of item context features (i.e., blood or water) on how faculty framed and reasoned about fluid dynamics, a crosscutting concept. While faculty were internally consistent in their reasoning across prompts, biology experts framed fluid dynamics problems differently than experts in physics and engineering and, as a result, used different principles and resources to reach different conclusions. These results have several implications for undergraduate learners who encounter these cross-disciplinary topics in all of their STEM courses. If each curriculum expects students to develop different reasoning strategies, students may struggle to build a coherent, transferable understanding of crosscutting phenomena.Today's rapidly changing world calls for sustainability-minded scientists who are prepared to solve complex, interconnected problems. Service learning is a pedagogical approach that allows students to engage with the needs of the community by integrating academic work with complex civic issues. Student learning was examined during a short-term service-learning experience focused on water-quality monitoring in an urban watershed to determine whether community-engaged fieldwork in an upper-level ecology lab course enhances sustainability knowledge for future biologists. We used concept map scoring methods and reflection assessments to evaluate and understand changes in the structure and content of student knowledge as a result of the experience. Students showed increases in sustainability knowledge breadth, depth, and complexity, particularly in demonstrating biological-sociological connections. Student reflections indicated most students identified at least one community-engaged serving-learning objective as a result of this experience.

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