Teaching high school science using image processing: A case study of implementation of computer technology

An in-depth case study of teachers' use of image processing (a state-of-the-art computer technology used by research scientists) in biology, earth science, and physics classes within one high school science department explored issues surrounding technology implementation. The study, conducted within a districtwide, schoolwide, and classroom context, explored four areas related to the teacher's adoption of image processing: (a) teachers' background with computers outside of instructional use, (b) teachers' attitudes toward educational technology and insights gained from their experience using computers within the science curriculum, (c) training and perceived influence of district and school administrators, and (d) teachers' classroom and computer lab practices. The following factors were deemed critical in teachers' decision to use or not use image processing with their students: (a) time to thoroughly explore and master the technology so they could use it with students to explore science concepts; (b) classroom management skills specific to technology use; (c) perception of the teaching value of the technology; (d) perception of the reasonableness of administrators' expectations for technology use; and (e) understanding of how to implement inquiry-based science teaching, independent of technology issues. These factors have implications for how to help teachers use computer technology to teach high school science. © 1998 John Wiley & Sons, Inc. J Res Sci Teach 35: 297–327, 1998.     

The Deep-Time Digital Earth program: data-driven discovery in geosciences

Current barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) principles; we lack a systematic knowledge graph for DE; existing DE databases are geographically heterogeneous; a significant fraction of DE data is not in open-access formats; tailored tools are needed. These challenges motivate the Deep-Time Digital Earth (DDE) program initiated by the International Union of Geological Sciences and developed in cooperation with national geological surveys, professional associations, academic institutions and scientists around the world. DDE’s mission is to build on previous research to develop a systematic DE knowledge graph, a FAIR data infrastructure that links existing databases and makes dark data visible, and tailored tools for DE data, which are universally accessible. DDE aims to harmonize DE data, share global geoscience knowledge and facilitate data-driven discovery in the understanding of Earth''s evolution.     

Constructs of writing proficiency in US state and national writing assessments: Exploring variability

Persistent gaps between optimistic state and pessimistic national academic performance assessment results are increasingly leading to calls for unified national standards in the US. Critics argue that these gaps reveal vast differences in how proficiency is conceptualized; however, little is known about how conceptualizations compare among large-scale US assessments. To explore this issue, the present study investigated constructs of writing proficiency implicated in 41 US state and national high school direct writing assessments by analyzing the relationships between prompt-genre demands and assessment scoring criteria. Results of this analysis suggest that national writing assessments differ as a group from state assessments in the extent to which they emphasize genre distinctions and present coherent conceptualizations of writing proficiency. The implications of these assessment variations for college preparedness are discussed.     

Following the action in action learning: towards ethnomethodological studies of (critical) action learning

Action learning is a pedagogical practice that helps participants learn by talking about their workplace action with fellow participants (‘comrades in adversity’) in their action learning set. This paper raises questions about the action in action learning, such as: how do members of an action learning set learn from and through each other? How do they learn through their developing conversation and interaction?

To answer such questions, I argue that, ‘ethnomethodology’ (the study of ‘member's methods’ or ‘folk methods’ for doing any kind of practical action) is useful for showing the intricacy of the practical learning process in action learning, as in learning in action, more generally. The paper illustrates the conversational and interactional work of members doing things and learning together in action (for example discovering things in science and in board meetings); and argues that this approach may also be used to study action learning in practice.     

An evaluation of the special needs referral process for low-income preschool children with emotional and behavioral problems

The present study is an evaluation of the special needs referral system in a large urban Head Start program. To assess the validity of this system, two assessments were conducted. The first examined a representative sample of 105 children who were formally referred for special needs services. The Early Intervention Screening Profile (EISP) was used to indicate the distribution of problem behaviors of these special needs children. Two independent raters evaluated all cases. Reliable evaluations revealed that all of the referred children displayed speech and language problems, with 70% showing only speech problems and 30% showing speech plus emotional and behavioral problems. The second assessment examined reports of teachers’ concerns about children program-wide by obtaining a representative sample of 203 children nominated by teachers as most likely to be identified as having special needs. Teachers completed a modified EISP. Results indicated that over 70% of the children evidenced emotional and behavioral problems with no accompanying speech difficulties and 30% displayed emotional and behavioral problems plus speech problems. Implications of referral biases were discussed.     

The Effects of Early Experience on Face Recognition: An Event-Related Potential Study of Institutionalized Children in Romania

Data are reported from 3 groups of children residing in Bucharest, Romania. Face recognition in currently institutionalized, previously institutionalized, and never-institutionalized children was assessed at 3 time points: preintervention ( n  = 121), 30 months of age ( n  = 99), and 42 months of age ( n  = 77). Children watched photographs of caregiver and stranger faces while event-related potentials were recorded. Results demonstrate that institutionalized children show pervasive cortical hypoarousal in response to faces and that foster care is somewhat effective in remediating this deficit by 42 months of age. All 3 groups of children distinguished between the familiar and unfamiliar faces. These results have the potential to inform an understanding of the role of early experience in the development of the neural systems that subserve face recognition.     

Modes of reasoning in explanations in Australian eighth-grade mathematics textbooks

Understanding that mathematics is founded on reasoning and is not just a collection of rules to apply is an important message to convey to students. Here we examined the reasoning presented in seven topics in nine Australian eighth-grade textbooks. Focusing on explanatory text that introduced new mathematical rules or relationships, we classified explanations according to the mode of reasoning used. Seven modes were identified, making a classification scheme which both refined and extended previous schemes. Most textbooks provided explanations for most topics rather than presenting “rules without reasons” but the main purpose appeared to be rule derivation or justification in preparation for practise exercises, rather than using explanations as thinking tools. Textbooks generally did not distinguish between the legitimacies of deductive and other modes of reasoning.     

Prior degree and student assessment performance: how can evidence guide decisions on assessment policy?

This study aimed to provide evidence to guide decisions on the type and timing of assessments in a graduate medical programme, by identifying whether students from particular degree backgrounds face greater difficulty in satisfying the current assessment requirements. We examined the performance rank of students in three types of assessments and also calculated the relative risk of failure in the summative assessments for four cohorts over all four years of a four‐year graduate medical programme. Our findings suggest that early summative assessment may disadvantage the very students who create the diversity that the faculty values, particularly if methods such as Single Best Answer questions are used, unless students are provided with additional support in bridging their knowledge gap. Use of assessment methods such as Modified Essay Questions and Objective Structured Clinical Examinations appears to be more justifiable on educational grounds.     

Higher education institutions’ costs and efficiency: Taking the decomposition a further step

A multiproduct cost function is estimated for English higher education institutions using a panel of data from recent years. The panel approach allows estimation by means of a random parameter stochastic frontier model which provides considerable new insights in that it allows the impact on costs of inter-institutional differences in the cost function itself to be distinguished from inter-institutional differences in efficiency. The approach used here therefore resembles in some respects the non-parametric methods of efficiency evaluation. We report also on measures of average incremental cost of provision and on returns to scale and scope.