EDUCATION ABOUT AGING: A RATIONALE

Based on a review of studies on children's and adolescents’ attitudes and conceptions about aging and older people and on studies analyzing media content such as children's literature, textbooks, and public television programs to determine how older persons are portrayed, a rationale is provided for systematic education about aging in the public schools of the United States.     

Self-generated drawings for supporting comprehension of a complex animation

The perceptual and cognitive processing demands involved in comprehending complex animations can pose considerable challenges to learners. There is a tendency for learners to extract information that is highly perceptually salient but neglect less conspicuous information of crucial relevance to the building of a quality mental model. This study investigated the effectiveness of self-generated drawing for learning from an animation illustrating a scientific phenomenon, the so-called “Newton’s Cradle.” Participants were 199 students in grade seven, randomly assigned to three experimental conditions: self-generated drawing, traced/copied drawing, and no drawing. All participants were asked to produce an explanation of the animation for both immediate and delayed posttests. The results revealed the superiority of self-generated drawing in supporting animation comprehension at both testing times compared to the other two conditions, which did not differ from each other. In addition, comprehension of the animation was related to the quality of self-generated drawings. Specifically, the depiction of information characterized by low perceptual salience but high conceptual relevance to the phenomenon predicted comprehension and retention over time.     

Conceptions and Beliefs About “Good Teaching”: An integration of contrasting research areas

Previous research on conceptions of teaching comes from three distinct areas. The first is based on interviews with students and staff in higher education, the second involves the investigation of the conceptions and beliefs of schoolteachers, while the third derives from more general consideration of the nature of conceptions themselves. The empirical study reported here drew on these differing research areas to distinguish between beliefs and conceptions about good teaching and to explore their possible origins. The data came from student teachers, but the findings contribute to current thinking about conceptions of teaching in higher education. Bringing the empirical findings together with the three areas of previous research enables a more complete concept map to be drawn to summarise what may underlie the notion of “good teaching”.     

Traditional education and methods of access: Transcripting extrainstitutional education

Innovative Higher Education - The evaluation of training and education sponsored by the Armed Forces, business, and industry as well as prior learning assessment has been systematically...     

How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach

ABSTRACT

Today’s most pressing scientific problems necessitate scientific teamwork; the increasing complexity and specialization of knowledge render “lone geniuses” ill-equipped to make high-impact scientific breakthroughs. Social network research has begun to explore the factors that promote the assembly of scientific teams. However, this work has been limited by network approaches centered conceptually and analytically on “nodes as people,” or “nodes as teams.” In this article, we develop a “team-interlock ecosystem” conceptualization of collaborative environments within which new scientific teams, or other creative team-based enterprises, assemble. Team interlock ecosystems comprise teams linked to one another through overlapping memberships and/or overlapping knowledge domains. They depict teams, people, and knowledge sets as nodes, and thus, present both conceptual advantages as well as methodological challenges. Conceptually, team interlock ecosystems invite novel questions about how the structural characteristics of embedding ecosystems serve as the primordial soup from which new teams assemble. Methodologically, however, studying ecosystems requires the use of more advanced analytics that correspond to the inherently multilevel phenomenon of scientists nested within multiple teams. To address these methodological challenges, we advance the use of hypergraph methodologies combined with bibliometric data and simulation-based approaches to test hypotheses related to the ecosystem drivers of team assembly.