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Framework of pedagogical knowledge for active-learning instruction in large undergraduate STEM courses. This framework displays the collective ideas of participants as they analyzed the effectiveness of active-learning lessons in large undergraduate biology courses. There are seven components of pedagogical knowledge, some of which have subcomponents. Boxes with a dashed outline indicate video-specificity. Arrows indicate relationships among components that participants described

Framework of pedagogical knowledge for active-learning instruction in large undergraduate STEM courses. This framework displays the collective ideas of participants as they analyzed the effectiveness of active-learning lessons in large undergraduate biology courses. There are seven components of pedagogical knowledge, some of which have subcomponents. Boxes with a dashed outline indicate video-specificity. Arrows indicate relationships among components that participants described

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Background Though active-learning instruction has the potential to positively impact the preparation and diversity of STEM graduates, not all instructors are able to achieve this potential. One important factor is the teacher knowledge that instructors possess, including their pedagogical knowledge. Pedagogical knowledge is the knowledge about teac...

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... To effectively use ecological forecasting as a platform for teaching data science in undergraduate classrooms, instructors must have both pedagogical knowledge of active learning and disciplinary knowledge of data science and ecological forecasting (Auerbach and Andrews 2018, Andrews et al. 2019. However, research has demonstrated substantial gaps in instructor knowledge in both active learning (Auerbach and Andrews 2018, Andrews et al. 2019) and data science (Williams et al. 2019, Emery et al. 2021. ...
... To effectively use ecological forecasting as a platform for teaching data science in undergraduate classrooms, instructors must have both pedagogical knowledge of active learning and disciplinary knowledge of data science and ecological forecasting (Auerbach and Andrews 2018, Andrews et al. 2019. However, research has demonstrated substantial gaps in instructor knowledge in both active learning (Auerbach and Andrews 2018, Andrews et al. 2019) and data science (Williams et al. 2019, Emery et al. 2021. Given that ecological forecasting is an emerging field (Lewis et al. 2022), and educational resources in ecological forecasting remain rare (Willson et al. 2023), it is unlikely that many instructors have training in this area. ...
... Instructor feedback after teaching a module indicates that the Macrosystems EDDIE approach of "just-intime" background skills training (sensu Novak et al. 1999) and robust instructional supporting material may be successful strategies for instructor professional development in data science. We received positive feedback regarding the effect of Macrosystems EDDIE modules on both the growth of instructor pedagogical (e.g., active learning) and disciplinary (e.g., data science and ecological forecasting) knowledge (Auerbach and Andrews 2018, Andrews et al. 2019. Most instructors said that Macrosystems EDDIE modules were easy to use and very to extremely effective in teaching ecological forecasting and data science concepts (Fig. 3). ...
... According to this idea, patients judge the quality of their healthcare providers about their expectations, which they have formed based on their own experiences and those of others (Auerbach & Andrews, 2018). ...
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... Post-secondary STEM faculty have the opportunity to educate future generations of scientists and technical experts, but they do so typically without explicit training in educational best practices (Auerbach & Andrews, 2018;Stains et al., 2018). Understanding of supported strategies in STEM teaching has improved considerably in past decades (AAAS, 2009;Bennett et al., 2020;Freeman et al., 2014;Handelsman, 2007;NRC, 2003;Schwartz et al., 2016), but the professional development needed to create truly excellent STEM learning remains inconsistent (Bradforth et al., 2015;Mack & Winter, 2018;Seymour & Hunter, 2019;White et al., 2021). ...
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... (Guerriero, 2014) The knowledge of teaching and learning is not a particular matter, such as understanding learning theory, classroom management, and student motivation. Knowing the characteristics of the students, having methods for evaluating the students, and being familiar with the cognitive, social, and developmental learning theories and how they relate to the students in the classroom are all examples of possessing pedagogical knowledge (Auerbach, 2018). ...
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Engineering undergraduates face some specific challenges during their studies, such as an intense presence of abstract concepts in their subjects as well as the inability to connect different technical subjects into the big picture of the degree. This is also common to other STEM (Science, Technology, Engineering and Mathematics) disciplines. Multimedia resources as a complement to education present benefits that might help increasing students’ motivation and performance. This research focuses on YouTube as a source for those resources, presenting a qualitative analysis of the educational use of an electrical engineering channel, through the evaluation of its audience perceptions. A total of 524 open participations have been collected, coded, and analyzed. Exploratory and cooccurrences analyses show a predominant use of these videos for understanding and gaining knowledge, considering them interesting and of good quality. This study confirms that subjective perception from the channel’s audience is mainly positive for its integration in pedagogical processes.