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A variety of research studies reveal the advantages of actively engaging students in the learning process through collaborative work in the classroom. However, the complex nature of the learning environment in large college general chemistry courses makes it challenging to identify the different factors that affect students’ cognitive and social engagement while working on in-class tasks. To provide insights into this area, we took a closer look at students’ conversations during in-class activities to characterize typical discourse patterns and expressed chemical thinking in representative student groups in samples collected in five different learning environments across four universities. For this purpose, we adapted and applied a ‘Community of Learners’ (CoL) theoretical perspective to characterize group activity through the analysis of student discourse. Within a CoL perspective, the extent to which a group functions as a community of learners is analyzed along five dimensions including Community of Discourse (CoD), Legitimization of Differences (LoD), Building on Ideas (BoI), Reflective Learning (RL), and Community of Practice (CoP). Our findings make explicit the complexity of analyzing student engagement in large active learning environments where a multitude of variables can affect group work. These include, among others, group size and composition, the cognitive level of the tasks, the types of cognitive processes used to complete tasks, and the motivation and willingness of students to substantively engage in disciplinary reasoning. Our results point to important considerations in the design and implementation of active learning environments that engage more students with chemical ideas at higher levels of reasoning. 

Teacher turnover in science and mathematics is a significant and consistent challenge for K-12 education in the U.S. This paper provides: (a) an investigation of the relationship between teacher retention and several social and motivational factors; and (b) a comparison of Master Teaching Fellows (MTF) and non-MTF teachers in terms of their retention and social and motivational factors. Teachers are classified into three retention categories: (a) stayers, (b) shifters, and (c) leavers. Social and motivational factors included teaching self-efficacy, diversity dispositions, leadership skills, principal autonomy support, teacher-school fit (adapted from person-organization fit literature), and social networks related to teaching and education. Study 1 included about 250 science and math teachers from the gulf coast region of Texas. Study 2 included 167 science and math teachers across the country. Teachers completed a survey in the summer and fall of 2021. For study 1, multinomial logistics regression analyses indicate: (a) leavers have significantly higher levels of self-efficacy; and (b) shifters have significantly higher levels of leadership skills and lower levels of teacher-school fit. The second study findings indicate: (a) MTFs’ teacher leadership network and teaching self-efficacy are significantly greater than that of non-MTFs’; and (b) MTFs significantly tend to shift to a leadership position than non-MTFs do. 

Teacher turnover i science and mathematics is a significant and consistent challenge for K-12 education in the U.S. This paper provides: (a) an investigation of the relationship between teacher retention and several social and motivational factors; and (b) a comparison of Master Teaching Fellows (MTF) and non-MTF teachers in terms of their retention and social and motivational factors. Teachers are classified into three retention categories: (a) stayers, (b) shifters, and (c) leavers. Social and motivational factors included teaching self-efficacy, diversity dispositions, leadership skills, principal autonomy support, teachers-school fit (adapted from person-organization fit literature), and social networks related to teaching and education. Study 1 included about 250 science and math teachers from the gulf coast region of Texas. Study 2 included 167 science and math teachers across the country. Teachers completed a survey in the summer and fall of 2021. For study 1, multinomial logistics regression analyses indicate: (a) leavers have significantly higher levels of self-efficacy; and (b) shifters have significantly higher levels of leadership skills and lower levels of teacher-school fit. The second study findings indicate: (a) MTFs' teacher leadership network and teaching self-efficacy are significantly greater than that of non-MTFs'; and (b) MTFs significantly tend to shift to a leadership position than non-MTFs do.