David Shernoff - Academia.edu (original) (raw)
Papers by David Shernoff
Springer eBooks, 2017
Flow showcases a series of digitally drawn abstract motion and colour studies, applying algorithm... more Flow showcases a series of digitally drawn abstract motion and colour studies, applying algorithms to a simulation of 50,000 particles based on snow, coded in Java with processing
AGU Fall Meeting Abstracts, Dec 1, 2013
Advances in engineering education, Dec 1, 2011
Proceedings of the 2020 AERA Annual Meeting, 2020
Springer eBooks, 2014
A fundamental issue pursued by researchers in positive psychology involves defining what constitu... more A fundamental issue pursued by researchers in positive psychology involves defining what constitutes a good life and understanding how individuals can create one. From the perspective of flow theory, “a good life is one that is characterized by complete absorption in what one does” (Nakamura and Csikszentmihalyi in Handbook of positive psychology. Oxford, New York, 2002). Born out of a desire to understand intrinsically motivated activity, flow refers to a state of optimal experience characterized by total absorption in the task at hand: a merging of action and awareness in which the individual loses track of both time and self, The flow state is experientially positive, and out of the flow experience emerges a desire to replicate the experience. Over the past three decades, Csikszentmihalyi and colleagues have developed theoretical constructs and empirical research tools to better understand the nature, origins, and consequences of this state of optimal experience called flow. In this chapter, we describe the flow model and then present data analyses in which we explore the personal traits and contextual conditions associated with the experience of flow among adolescents in the United States. We demonstrate the utility of hierarchical linear modeling (HLM) for exploring flow using a complex data set characterized by repeated measures.
School Psychology International, Sep 2, 2016
Classroom learning environments are frequently assumed to exert their influence on learning indir... more Classroom learning environments are frequently assumed to exert their influence on learning indirectly, via student engagement. The present study examined the influence of environmental challenge and support on learning in high school classrooms, and the potential for student engagement to act as a mediator in this relationship. Data were collected in seven classrooms in six different subjects in several US high schools. The 104 students in these classes participated in the Experience Sampling Method (ESM) and reported records ( N = 254) of engagement, learning, and related experiential variables. Measures of the learning environment were also rated from video footage. Variations in the learning environment observed and rated from video were linked to students’ real-time reactions to instruction synchronously. Results indicated that environmental support, but not environmental challenge, was significantly related with perceived learning. Multi-level path analyses revealed that the association between environmental supports and learning was mediated by student engagement. This mediating relationship held specifically for two components of environmental support: Motivational supports and supportive relationships. Implications are discussed for the benefit of practicing school psychologists, including strategies for facilitating motivational and relational support to enhance student engagement.
Teachers College Record, Apr 1, 2014
Taylor and Francis CMET_A_511853.sgm 10.1080/136 267 2010.511853 Mentori g & Tutoring 361-126... more Taylor and Francis CMET_A_511853.sgm 10.1080/136 267 2010.511853 Mentori g & Tutoring 361-1267 (pri )/1469-9745 (online) Book Reviews 2 10 & Francis 8 40 0 002010 Professor N. DouglasLees nl es@ upui.ed Good mentoring: Fostering excellent practice in higher education, by Jeanne Nakamura and David Shernoff with Charles Hooker, San Francisco, Jossey-Bass, 2009, ix–xxv + 336 pp., $40.00 (hardcover), ISBN-10: 0470189630, ISBN-13: 978-0470189634
Routledge eBooks, Feb 17, 2015
Proceedings of the 2023 AERA Annual Meeting
Handbook of Positive Psychology in Schools, 2022
Handbook of Student Engagement Interventions, 2019
Abstract Internationally, a significant number of secondary school students present signs of dise... more Abstract Internationally, a significant number of secondary school students present signs of disengagement in the classroom, having consequences for learning, achievement, and school completion. The instructional environment is a powerful vehicle to stimulate student engagement in the classroom. It can mitigate more distal bioecological influences such as gender, age, socioeconomic status, and cultural background. In this chapter, we discuss the key characteristics of instructional environments that support behavioral, emotional, and cognitive student engagement. These characteristics include meaningful classwork, the development of student competence, the support of student agency, the promotion of positive peer relationships, and the establishment of positive teacher–student relationships. We then conduct an international literature review identifying studies of interventions influencing student engagement, and profile selected intervention studies in more depth. The chapter concludes by discussing questions that emerge from our review and suggesting directions for future research.
Springer eBooks, 2017
Flow showcases a series of digitally drawn abstract motion and colour studies, applying algorithm... more Flow showcases a series of digitally drawn abstract motion and colour studies, applying algorithms to a simulation of 50,000 particles based on snow, coded in Java with processing
AGU Fall Meeting Abstracts, Dec 1, 2013
Advances in engineering education, Dec 1, 2011
Proceedings of the 2020 AERA Annual Meeting, 2020
Springer eBooks, 2014
A fundamental issue pursued by researchers in positive psychology involves defining what constitu... more A fundamental issue pursued by researchers in positive psychology involves defining what constitutes a good life and understanding how individuals can create one. From the perspective of flow theory, “a good life is one that is characterized by complete absorption in what one does” (Nakamura and Csikszentmihalyi in Handbook of positive psychology. Oxford, New York, 2002). Born out of a desire to understand intrinsically motivated activity, flow refers to a state of optimal experience characterized by total absorption in the task at hand: a merging of action and awareness in which the individual loses track of both time and self, The flow state is experientially positive, and out of the flow experience emerges a desire to replicate the experience. Over the past three decades, Csikszentmihalyi and colleagues have developed theoretical constructs and empirical research tools to better understand the nature, origins, and consequences of this state of optimal experience called flow. In this chapter, we describe the flow model and then present data analyses in which we explore the personal traits and contextual conditions associated with the experience of flow among adolescents in the United States. We demonstrate the utility of hierarchical linear modeling (HLM) for exploring flow using a complex data set characterized by repeated measures.
School Psychology International, Sep 2, 2016
Classroom learning environments are frequently assumed to exert their influence on learning indir... more Classroom learning environments are frequently assumed to exert their influence on learning indirectly, via student engagement. The present study examined the influence of environmental challenge and support on learning in high school classrooms, and the potential for student engagement to act as a mediator in this relationship. Data were collected in seven classrooms in six different subjects in several US high schools. The 104 students in these classes participated in the Experience Sampling Method (ESM) and reported records ( N = 254) of engagement, learning, and related experiential variables. Measures of the learning environment were also rated from video footage. Variations in the learning environment observed and rated from video were linked to students’ real-time reactions to instruction synchronously. Results indicated that environmental support, but not environmental challenge, was significantly related with perceived learning. Multi-level path analyses revealed that the association between environmental supports and learning was mediated by student engagement. This mediating relationship held specifically for two components of environmental support: Motivational supports and supportive relationships. Implications are discussed for the benefit of practicing school psychologists, including strategies for facilitating motivational and relational support to enhance student engagement.
Teachers College Record, Apr 1, 2014
Taylor and Francis CMET_A_511853.sgm 10.1080/136 267 2010.511853 Mentori g & Tutoring 361-126... more Taylor and Francis CMET_A_511853.sgm 10.1080/136 267 2010.511853 Mentori g & Tutoring 361-1267 (pri )/1469-9745 (online) Book Reviews 2 10 & Francis 8 40 0 002010 Professor N. DouglasLees nl es@ upui.ed Good mentoring: Fostering excellent practice in higher education, by Jeanne Nakamura and David Shernoff with Charles Hooker, San Francisco, Jossey-Bass, 2009, ix–xxv + 336 pp., $40.00 (hardcover), ISBN-10: 0470189630, ISBN-13: 978-0470189634
Routledge eBooks, Feb 17, 2015
Proceedings of the 2023 AERA Annual Meeting
Handbook of Positive Psychology in Schools, 2022
Handbook of Student Engagement Interventions, 2019
Abstract Internationally, a significant number of secondary school students present signs of dise... more Abstract Internationally, a significant number of secondary school students present signs of disengagement in the classroom, having consequences for learning, achievement, and school completion. The instructional environment is a powerful vehicle to stimulate student engagement in the classroom. It can mitigate more distal bioecological influences such as gender, age, socioeconomic status, and cultural background. In this chapter, we discuss the key characteristics of instructional environments that support behavioral, emotional, and cognitive student engagement. These characteristics include meaningful classwork, the development of student competence, the support of student agency, the promotion of positive peer relationships, and the establishment of positive teacher–student relationships. We then conduct an international literature review identifying studies of interventions influencing student engagement, and profile selected intervention studies in more depth. The chapter concludes by discussing questions that emerge from our review and suggesting directions for future research.