Effects of High and Low Prior Knowledge on Construction of a Joint Problem Space

The participants were 4th-year medical students designing a clinical trial to test a new hypothetical anticancer drug. They worked with the computer simulation the Oncology Thinking Cap in facilitated groups that differed in terms of their prior knowledge. Both groups engaged in constructive activity and reached similar endpoints. The groups differed qualitatively in how they went about constructing and navigating the joint problem space. The high-prior-knowledge group used their knowledge to help them construct plans, evaluate their actions, and stay focused on the goals of the experimental design task. The low-prior-knowledge group searched through the data exhaustively and used them to generate their plans. They were unsystematic in their planning and interpretation. They used the computer representations in their reasoning and worked at mapping the connections between the representations. The computer scaffolding played an important role for both groups, but the facilitator played a greater role in the low-prior-knowledge group.     

Charter Schools: Implications for Teachers and Administrators

Young adolescents’ low scores on the National Assessment of Educational Progress (NAEP) force the question of whether these students will be ready for college in four years. Our efforts to build a college-going culture emphasize strengthening students’ writing skills by using preservice teachers to lead writing marathons for at-risk middle school students on university visits. Structured interviews, surveys, and written reflections reveal that what students write about changes with age, their motivation to write varies, and their college aspirations and perceptions become more positive after completing several annual writing marathons on a college campus. The writing marathon structure makes the college visit truly meaningful to students, and it provides a compelling incentive to write by supporting characteristics of middle school students, as defined by the National Middle School Association (National Middle School Association [NMSA] 2003 National Middle School Association (NMSA). 2003. This we believe. Successful schools for young adolescents, Westerville, OH: National Middle School Association.  [Google Scholar]). The marathon model focuses on four key elements: setting, timing, small groups, and writers’ level of commitment.     

Keys to Reading Among Middle School Children

A recent decline in reading has become a major issue, as Americans are not reading out of necessity or as a leisure activity. In addition, a connection has been found between children's leisure reading habits and their level of academic achievement, causing even more concern.     

The shifting politics of the private in education: debates and developments in researching private school outreach in India

This paper addresses the politics of researching private education with special reference to the Indian context. Due to a recent increase in privatised forms of education globally and recognition of the private sector by governments, international agencies and researchers as a policy and academic interest, this is shifting ground. The evolving nature of the politics of researching the private in the recent past is discussed with reference to research on private school outreach for out-of-school children in India. First the author critically examines the reception of this research when it was conducted in 2000–2003 in relation to the discourse and policy in Indian education at the time. The research is then revisited in the contemporary context in the light of considerable changes in Indian education policy, involving increased public–private partnership. In this new climate private school outreach is reconceptualised – previously considered an educational anomaly, it now has renewed relevance. Finally, findings from the research are drawn on to shed light on emerging concerns about the Right of Children to Free and Compulsory Education Act's (2009) requirement for private schools to reserve at least 25% of school places for economically disadvantaged children in their neighbourhoods.     

Informal Mentors and Education: Complementary or Compensatory Resources?

Few studies have examined the impact that mentoring (i.e., developing a special relationship with a non-parental adult) has on educational achievement and attainment in the general population. In addition, prior research has yet to clarify the extent to which mentoring relationships reduce inequality by enabling disadvantaged youth to compensate for a lack of social resources or promote inequality by serving as a complementary resource for advantaged youth. Results from a nationally representative sample of youth show (1) a powerful net influence of mentors on the educational success of youth and (2) how social background, parental, peer, and personal resources condition the formation and effectiveness of mentoring relationships. The findings uncover an interesting paradox-that informal mentors may simultaneously represent compensatory and complementary resources. Youth with many resources are more likely than other young people to have mentors, but those with few resources are likely to benefit more from having a mentor-particularly teacher mentors-in their lives.     

Adaptive Equilibrium Regulation: Modeling Individual Dynamics on Multiple Timescales

Damped Linear Oscillators estimated by 2nd-order Latent Differential Equation have assumed a constant equilibrium and one oscillatory component. Lower-frequency oscillations may come from seasonal background processes, which non-randomly contribute to deviation from equilibrium at each occasion and confound estimation of dynamics over shorter timescales. Boker (2015) proposed a model of individual change on multiple timescales, but implementation, simulation, and applications to data have not been demonstrated. This study implemented a generalization of the proposed model; examined robustness to varied timescale ratios, measurement error, and occasions-per-person in simulated data; and tested for dynamics at multiple timescales in experience sampling affect data. Results show small standard errors and low bias to dynamic estimates at timescale ratios greater than 3:1. Below 3:1, estimate error was sensitive to noise and total occasions; rates of non-convergence increased. For affect data, model comparisons showed statistically significant dynamics at both timescales for both participants.