Crowdsourcing solutions in the online mathematics classroom

Author(s):  
Lorelei Koss
Author(s):  
Emma Bullock ◽  
Amy Ray ◽  
Beth Cory ◽  
Julie Herron

This chapter describes how the authors structured effective online mathematics content courses for pre-service teachers (PSTs) using the promoting higher student mathematics achievement in online settings (PHiSMAOS) conceptual framework. This framework focuses on the mathematics teacher educator (MTE) view from which they are using their technological content knowledge (TCK) to develop their PSTs' own technological knowledge (TK), content knowledge (CK), and TCK when in an online mathematics classroom setting. The PHiSMAOS conceptual framework then wraps this reality in the concepts of growth mindset and productive struggle, providing a pragmatic way for MTEs to productively promote growth mindset in PSTs' mathematics content classrooms in online settings. This framework was developed using grounded theory research techniques from data consisting of exit cards, video-recorded discussions, assignments, and test scores across seven semesters of the authors' courses. Implications for MTEs, use in K-12 settings, and further research are also discussed.


2021 ◽  
pp. 105345122199480
Author(s):  
Stephanie Morano ◽  
Andrew M. Markelz ◽  
Kathleen M. Randolph ◽  
Anna Moriah Myers ◽  
Naomi Church

Motivation and engagement in mathematics are important for academic success and are sometimes compromised in students with disabilities who have experienced a history of frustration and failure. This article explains how general and special education teachers can implement three research-supported strategies for boosting motivation and engagement for elementary students with or at risk of emotional and behavioral disorders (EBD) in the mathematics classroom. The strategies include (a) reinforcing engagement and motivation in mathematics using behavior-specific praise and token economy systems; (b) teaching self-monitoring and self-regulation strategies to promote attentive behavior and academic achievement; and (c) using the high-preference strategy to build behavioral momentum and support completion of nonpreferred tasks.


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