“I have a little,little, little footprint on the world” and “I’m not political”: feelings of low self-efficacy and the effect of identity on environmental behaviour in educators

Abstract

Environmental educators in both formal and informal settings work to develop students’ environmental literacy, with the goal of developing adult citizens who care about the environment and are knowledgeable and prepared to engage in behaviours to address environmental issues. Yet little attention has been paid to educator environmental literacy. Here we report the findings from an interview study of formal educators from K-12 settings and informal educators from out-of-school settings. Overall, educators favoured personal-level behaviours. In addition, some educators reported poor environmental self-efficacy for three main reasons: the scale of the problem, other negative environmental behaviour that offsets positive behaviour, and the need for system-level behaviour Educators rarely engaged in system-level behaviour due to distrust of the system, inexperience, and the rejection of political or activist identity.     

Seeking Emergence Through Temporal Analysis of Collaborative-Group Discourse: A Complex-Systems Approach

Abstract

Research around problem solving in collaborative groups has made progress, but several conceptual and methodological issues remain. These issues include the appropriate choices of units of analysis; the ability of current theoretical sets of macrocognition codes to capture group dynamics; detection and identification of potentially emergent phenomena within groups; and the extent to which multiple dynamics are integral to understanding groups. Using data from a complex engineering challenge, we applied methods drawn from complex-systems analysis to offer insight into each of these issues, showing the need for multiple dimensions when studying group dynamics and highlighting methodological difficulties when dealing with emergent phenomena. We suggest future research to improve the understanding of the complex dynamics of collaborative groups.     

Patterns of Teacher‐Student Interaction in Inclusive Elementary Classrooms and Correlates with Student Self-Concept

The efficacy of placing students with special needs in inclusive classrooms may depend in part on how instructional factors contribute to student outcomes. Differences in frequencies and levels of cognitive engagement of interactions among nine teachers in inclusive elementary classrooms were related to three other variables: teachers' ratings on the Pathognomonic-Interventionist (PATH/INT) Scale, students' designation either as exceptional or at-risk (EX/AR) or as typically achieving (TA), and students' scores on the Piers Harris Children's Self-Concept Scale. Teachers with PATH beliefs, who attribute learning difficulties to permanent characteristics of the student that are beyond the teacher's mandate, interacted infrequently with their EX/AR students at low levels of cognitive engagement. Teachers with INT beliefs, who see themselves as responsible for the achievement of all their students irrespective of their disabilities, interacted with all students more frequently, and at higher levels of cognitive engagement. In contrast to the PATH teachers, their EX/AR students received more instructional interactions than their TA students. As expected, the EX/AR students in all classrooms had lower Piers Harris Self-Concept Total Scale scores than typically achieving students. However, both TA and EX/AR students had lower Self-Concept Total Scale scores in the classrooms of teachers with PATH beliefs, compared to students in the classrooms of INT teachers. The relationship is discussed between teachers' beliefs, their different patterns of instructional interactions with students with and without disabilities in inclusive classrooms, and the possible impact of instructional interventions on students' self-concept.     

A Needs-Assessment Process for Designing Geospatial Data Management Systems within Federal Agencies

Many federal agencies face challenges with designing geospatial data management systems. This paper presents and documents a needs-assessment process that can be employed to prioritize agencies’ geospatial information needs; identify agencies’ capacity to manage a centralized geodatabase; determine agencies’ capacity to deliver Web-mapping services to the public; and identify barriers, such as data security and limited financial resources, that constrain agencies’ ability to design and manage a geospatial data management system. The paper details the needs-assessment process and documents its application to the National Park Service (NPS) Conservation and Outdoor Recreation (COR) Branch programs. The NPS COR Branch is comprised of nine disparate programs, such as the National Trails System and the Rivers, Trails, and Conservation Assistance program, each of which has specific geospatial data management and delivery needs. The needs-assessment process, tested through its application to the NPS COR Branch programs, provides a comprehensive and logical workflow for system developers and administrators to use as they create or refine geospatial data management systems.     

Validity of selected preschool screening tests

Data from 188 white and 97 black children supported the following conclusions: (a) A general cognitive factor prevailed throughout a group of tests including the Peabody Picture Vocabulary Test administered at age 3 years, the Preschool Inventory, the Boehm Test of Basic Concepts (modified), and the Graham-Ernhart Copy-Forms Test administered at age 4 years; (b) Correlations of three scales of the Preschool Attainment Records and the Verbal Language Development Scale with the other measures were less consistent; (c) the correlations of the Quick Test with other tests were satisfactory for white children but inconsistent for a subsample (N = 18) of black children; (d) the standard deviations of the Quick Test IQs were excessively large; and (e) differential scoring of Preschool Inventory subtests was not supported.     

Predicting First‐Grade Math Achievement from Developmental Number Sense Trajectories

Number sense development was tracked from the beginning of kindergarten through the middle of first grade, over six time points. Children (n= 277) were then assessed on general math achievement at the end of first grade. Number sense performance in kindergarten, as well as number sense growth, accounted for 66 percent of the variance in first‐grade math achievement. Background characteristics of income status, gender, age, and reading ability did not add explanatory variance over and above growth in number sense. Even at the beginning of kindergarten, number sense was highly correlated with end of first‐grade math achievement (r= 0.70). Clarifying the observed slope effect, general growth mixture modeling showed that children who started kindergarten with low number sense but made moderate gains by the middle of kindergarten had higher first‐grade math achievement than children who started out with similarly low number sense with flat growth. The majority of children in the low/flat growth class were from low‐income families. The findings indicate that screening early number sense development is useful for identifying children who will face later math difficulties or disabilities.     

Engagement versus participation: A difference that matters

The kind of engagement that transforms a person is more than mere participation. It is risk‐taking, spontaneous, socially supported, heart‐pounding co‐creation. Some campuses, the University of Maryland Baltimore County for one, are taking small steps to foster this kind of engagement. They've found that it's good, hard work.