Do children who acquire word reading without explicit phonics employ compensatory learning? Issues of phonological recoding, lexical orthography, and fluency

Two studies were conducted across three countries to examine samples of beginning readers without systematic explicit phonics who had reached the same level of word reading accuracy as comparison samples with high and moderate explicit phonics. Had they employed any compensatory learning to reach that level? Four hypotheses of compensatory learning or performance were tested on the samples, all of which represented the lower half of the normative distribution of word reading accuracy. The two samples without explicit phonics received teaching that centered on story text reading and some receptive phonics that arose from this text reading. They did not compensate by relatively greater use of a larger psycholinguistic grain size in the form of rime units. Nor did they compensate by trading off comprehension for text word reading accuracy. In a microtraining study, they showed no compensation in proficiency of initial learning of lexical orthographic representations. For all samples, this initial learning was less effective with spelling than reading training trials. In reading text, the samples without explicit phonics did not compensate by trading off speed for accuracy, or comprehension. On the contrary, they read text faster than the explicit phonics samples. The extra classroom instruction time available to them for text reading, with the consequential extra exposure and practice of word reading, would explain this result.     

What Underlies the False Consensus Effect? How Personal Opinion and Disagreement Affect Perception of Public Opinion

This study draws on a sample of participants in online groupsto analyze the interaction between individual-level and communicative-levelfactors that affect public opinion perception. We first assessthe association between individual views on several issues—thedeath penalty, gun regulation and teaching morality in publicschools—and false consensus, i.e., the tendency to attributeown views to others. We also examine whether the associationbetween individual opinion and false consensus is mitigatedby perceived disagreement with offline discussion networks andwith participants in online discussion groups. As expected,not only is there a correlation between personal and perceivedopinion, but also those who strongly favor the three policiesestimate public support to be higher than do those who are unfavorableor moderate. Multivariate models further show that encounteringdisagreement, online or offline, attenuates the associationbetween the individual opinion and false consensus. Theoreticaland practical implications of these findings are discussed.     

The impact of pre‐service field training sessions on the probability of future teachers using ICT in school

Most industrialised countries have adopted training strategies for pre‐service teachers that place experienced teacher guidance centre stage, particularly within the context of regular pre‐service field training sessions. In this article, after analysing the data taken from a longitudinal survey on the computer skills and attitudes of students toward the integration of ICT in teaching in primary and secondary school teacher education programmes at the University of Sherbrooke, the authors underline the potential contradictory effects between the classroom teaching observed during practicum and the effort to support the use of computer technology in school during university training. They conclude by underlining the importance of supporting the professional development of practising teachers regarding the use of ICT, with the aim of changing practices observed by students in training and optimising the probability of increasing the use of these technologies in their future role as teachers.     

Embedded ethics: some technical and ethical challenges

This paper pertains to research works aiming at linking ethics and automated reasoning in autonomous machines. It focuses on a formal approach that is intended to be the basis of an artificial agent’s reasoning that could be considered by a human observer as an ethical reasoning. The approach includes some formal tools to describe a situation and models of ethical principles that are designed to automatically compute a judgement on possible decisions that can be made in a given situation and explain why a given decision is ethically acceptable or not. It is illustrated on three ethical frameworks—utilitarian ethics, deontological ethics and the Doctrine of Double effect whose formal models are tested on ethical dilemmas so as to examine how they respond to those dilemmas and to highlight the issues at stake when a formal approach to ethical concepts is considered. The whole approach is instantiated on the drone dilemma, a thought experiment we have designed; this allows the discrepancies that exist between the judgements of the various ethical frameworks to be shown. The final discussion allows us to highlight the different sources of subjectivity of the approach, despite the fact that concepts are expressed in a more rigorous way than in natural language: indeed, the formal approach enables subjectivity to be identified and located more precisely.     

Statistically Comparing the Performance of Multiple Automated Raters Across Multiple Items

Automated scoring systems are typically evaluated by comparing the performance of a single automated rater item-by-item to human raters. This presents a challenge when the performance of multiple raters needs to be compared across multiple items. Rankings could depend on specifics of the ranking procedure; observed differences could be due to random sampling of items and/or responses in the validation sets. Any statistical hypothesis test of the differences in rankings needs to be appropriate for use with rater statistics and adjust for multiple comparisons. This study considered different statistical methods to evaluate differences in performance across multiple raters and items. These methods are illustrated leveraging data from the 2012 Automated Scoring Assessment Prize competitions. Using average rankings to test for significant differences in performance between automated and human raters, findings show that most automated raters did not perform statistically significantly different from human-to-human inter-rater agreement for essays but they did perform differently on short-answer items. Differences in average rankings between most automated raters were not statistically significant, even when their observed performance differed substantially.     

Acknowledging and appreciating the full spectrum of the human condition: School Psychology's (limited) focus on positive psychological functioning

This study is a content analysis of a random selection of 20% (N = 1,168) of articles from School Psychology Quarterly, Psychology in the Schools, the Journal of School Psychology, and School Psychology Review. Across the four journals, 27% of the articles had a positive focus, and the percentage of articles focused on the positive has been between 25% and 33% for the past 50 years. Of the 76 positive constructs/processes we coded for, 51% were not discussed/operationalized. Furthermore, topics that have received much recent research attention with adults and much attention in the media were rarely studied, if at all. For example, happiness was the topic of four articles, optimism was the topic of three, and purpose/meaning was the topic of none. Although studying pathology is important, we urge school psychologists to devote more attention to making contributions to a science and practice that give equal attention to positive well‐being. © 2010 Wiley Periodicals, Inc.     

Exploring the Assistance Dilemma in Experiments with Cognitive Tutors

Intelligent tutoring systems are highly interactive learning environments that have been shown to improve upon typical classroom instruction. Cognitive Tutors are a type of intelligent tutor based on cognitive psychology theory of problem solving and learning. Cognitive Tutors provide a rich problem-solving environment with tutorial guidance in the form of step-by-step feedback, specific messages in response to common errors, and on-demand instructional hints. They also select problems based on individual student performance. The learning benefits of these forms of interactivity are supported, to varying extents, by a growing number of results from experimental studies. As Cognitive Tutors have matured and are being applied in new subject-matter areas, they have been used as a research platform and, particularly, to explore interactive methods to support metacognition. We review experiments with Cognitive Tutors that have compared different forms of interactivity and we reinterpret their results as partial answers to the general question: How should learning environments balance information or assistance giving and withholding to achieve optimal student learning? How best to achieve this balance remains a fundamental open problem in instructional science. We call this problem the “assistance dilemma” and emphasize the need for further science to yield specific conditions and parameters that indicate when and to what extent to use information giving versus information withholding forms of interaction.     

GCAT-SEEKquence: genome consortium for active teaching of undergraduates through increased faculty access to next-generation sequencing data

To transform undergraduate biology education, faculty need to provide opportunities for students to engage in the process of science. The rise of research approaches using next-generation (NextGen) sequencing has been impressive, but incorporation of such approaches into the undergraduate curriculum remains a major challenge. In this paper, we report proceedings of a National Science Foundation-funded workshop held July 11-14, 2011, at Juniata College. The purpose of the workshop was to develop a regional research coordination network for undergraduate biology education (RCN/UBE). The network is collaborating with a genome-sequencing core facility located at Pennsylvania State University (University Park) to enable undergraduate students and faculty at small colleges to access state-of-the-art sequencing technology. We aim to create a database of references, protocols, and raw data related to NextGen sequencing, and to find innovative ways to reduce costs related to sequencing and bioinformatics analysis. It was agreed that our regional network for NextGen sequencing could operate more effectively if it were partnered with the Genome Consortium for Active Teaching (GCAT) as a new arm of that consortium, entitled GCAT-SEEK(quence). This step would also permit the approach to be replicated elsewhere.