Impacts of an Early Childhood Mathematics and Science Intervention on Teaching Practices and Child Outcomes

abstract

This randomized controlled trial examined effects of the MyTeachingPartner-Math/Science intervention on the quality and quantity of teachers’ mathematics and science instruction, and children’s mathematics and science outcomes in 140 pre-kindergarten classrooms. Teachers participated in the intervention for two years with consecutive cohorts of children. Results from Year 1 are considered experimental, however due to high levels of attrition, results from Year 2 are considered quasi-experimental. Across both years, intervention teachers exhibited higher quality and quantity of instruction. In Year 1, there were no significant effects of the intervention on children’s outcomes. In Year 2, children in intervention classrooms made greater gains in teachers’ ratings of mathematics and science skills and performed better on a spring assessment of science skills. These results have implications for designing and evaluating professional development aimed at supporting children’s mathematics and science knowledge and skills.     

Instrumental electrodermal conditioning in the monkey (Cebus albifrons): Acquisition and long-term retention

EightCebus albifrons monkeys received 25 sessions of discriminative operant conditioning of the skin conductance response (SCR), with colored lights as discriminative stimuli and with Sidman avoidance (SS-40 sec, RS-40 sec) scheduled during one light and response-contingent shock during the other, Discriminative stimulus segments were separated by 30-sec periods of time-out from shocks and lights, Two extinction sessions were run 3 months after training, Almost from the beginning of conditioning, the monkeys made significantly more unelicited skin conductance responses in the avoidance periods than in punishment, The monkeys’ heart rates also increased significantly, but there was no difference between avoidance and punishment, SCR frequency during extinction continued to differentiate significantly between avoidance and punishment, and there was a significant increase in this differentiation from the last conditioning session to the first extinction session, but the difference then reduced in the second session, The results indicated that monkey’s SCRs are influenced by instrumental reinforcement contingencies somewhat in the same fashion as those of humans.     

Models in Physics, Models for Physics Learning, and Why the Distinction may Matter in the Case of Electric Circuits

Models are important both in the development of physics itself and in teaching physics. Historically, the consensus models of physics have come to embody particular ontological assumptions and epistemological commitments. Educators have generally assumed that the consensus models of physics, which have stood the test of time, will also work well as teaching models, and for many topics this assumption is at least unproblematic and in many cases productive. However, in the case of electric circuits the consensus models are highly abstract and consequently inaccessible to beginning learners. Certain historically derived analogues for the consensus models are accepted in texts, but these are demonstrably ineffective for helping learners grasp the fundamental concepts of electric circuits. While awareness of other models circulates informally in the teaching community, these are not well documented in the science education literature and rarely referred to in authoritative texts, possibly because the models do not share the ontological assumptions and epistemological commitments that characterise consensus models. Consequently these models have not been subjected to a disciplined critique of their effectiveness for teaching purposes. In this paper I use criteria drawn from the science education literature to reflect on why I have found particular models valuable in teaching electric circuits. These criteria contrast with the epistemological and ontological features that characterise the consensus models of science, and my reflection leads me to attend explicitly to the ways in which meanings are created within physics. This suggests that all models, whether consensus models or not, can be used more knowingly for important educational ends.

A Critical Review of Line Graphs in Behavior Analytic Journals

Visual displays such as graphs have played an instrumental role in psychology. One discipline relies almost exclusively on graphs in both applied and basic settings, behavior analysis. The most common graphic used in behavior analysis falls under the category of time series. The line graph represents the most frequently used display for visual analysis and subsequent interpretation and communication of experimental findings. Behavior analysis, like the rest of psychology, has opted to use non-standard line graphs. Therefore, the degree to which graphical quality occurs remains unknown. The current article surveys the essential structure and quality features of line graphs in behavioral journals. Four thousand three hundred and thirteen graphs from 11 journals served as the sample. Results of the survey indicate a high degree of deviation from standards of graph construction and proper labeling. A discussion of the problems associated with graphing errors, future directions for graphing in the field of behavior analysis, and the need for standards adopted for line graphs follows.     

Examining the relationship between perceptions of teaching self-efficacy,school support and teacher and paraeducator burnout in a residential school setting

Despite teacher self-efficacy and burnout’s influence on student outcomes, little research has been conducted on teacher self-efficacy and burnout in residential treatment schools. This study attempts to fill this need by examining the self-efficacy and burnout of teachers and paraeducators in a residential treatment school in the United States. We explore the relationships between educators’ perceptions of school supports and educators’ sense of self-efficacy and burnout Our results revealed that while educators’ perceptions of school supports were not related to educators’ sense of efficacy, there was a significant relationship between educators’ perceptions of school supports and reported levels of burnout. Educators who reported lower levels of school supports had high levels of burnout. We discuss implications for larger studies on this topic and for supporting educator well-being in residential treatment schools.     

Exploring the relationship between physics-related epistemological beliefs and physics understanding

Three studies are reported that investigated the relationship between secondary school students’ physics-related epistemological beliefs and physics conceptual understanding. Study 1 involved the development of a Greek Epistemological Beliefs Evaluation Instrument for Physics (GEBEP) which was administered to 394 students (10th graders). Study 2 investigated the hypothesis that physics epistemological sophistication as measured by the GEBEP is a good predictor of physics understanding. The participants were selected from the 394 students who participated in Study 1. More specifically we selected the 10% (38) students with the highest scores in the GEBEP (high epistemological sophistication group, HES) and the 10% (38) students with the lowest GEBEP scores (low epistemological sophistication group, LES) and measured their understanding of Newton’s three laws using the Force and Motion Conceptual Evaluation instrument (FMCE) developed by Thornton and Sokoloff (1998). The results showed that the HES group had significantly higher scores in the FMCE than the LES group. Regression analysis showed that beliefs regarding the Construction and Stability of physics knowledge and the Structure of physics knowledge were good predictors of physics understanding. Study 3 re-examined the same hypothesis on a new independent sample of students. The results based on the entire sample, showed again that beliefs regarding the Construction and Stability of physics knowledge predicted physics understanding. Overall, the results suggest that sophisticated physics-related epistemological beliefs are necessary but not sufficient for physics understanding and point to the importance of taking them into consideration in physics education.     

For children only? Effects of the KiVa antibullying program on teachers

The effects of an antibullying program, KiVa, on Grade 1–3 teachers' perceptions of bullying were investigated. Data were gathered from 128 teachers in 33 intervention schools and 110 teachers in 29 control schools. Two-level regression models showed that, at the end of the intervention year, self-evaluated competence to tackle bullying was at a higher level in the intervention schools than in the control schools. In addition, in the intervention schools, participation in KiVa activities was associated with teacher perceptions of bullying. The need to take teacher and organization perspectives into consideration in future whole-school intervention studies is discussed.     

Graph-based term weighting for information retrieval

A standard approach to Information Retrieval (IR) is to model text as a bag of words. Alternatively, text can be modelled as a graph, whose vertices represent words, and whose edges represent relations between the words, defined on the basis of any meaningful statistical or linguistic relation. Given such a text graph, graph theoretic computations can be applied to measure various properties of the graph, and hence of the text. This work explores the usefulness of such graph-based text representations for IR. Specifically, we propose a principled graph-theoretic approach of (1) computing term weights and (2) integrating discourse aspects into retrieval. Given a text graph, whose vertices denote terms linked by co-occurrence and grammatical modification, we use graph ranking computations (e.g. PageRank Page et al. in The pagerank citation ranking: Bringing order to the Web. Technical report, Stanford Digital Library Technologies Project, 1998) to derive weights for each vertex, i.e. term weights, which we use to rank documents against queries. We reason that our graph-based term weights do not necessarily need to be normalised by document length (unlike existing term weights) because they are already scaled by their graph-ranking computation. This is a departure from existing IR ranking functions, and we experimentally show that it performs comparably to a tuned ranking baseline, such as BM25 (Robertson et al. in NIST Special Publication 500-236: TREC-4, 1995). In addition, we integrate into ranking graph properties, such as the average path length, or clustering coefficient, which represent different aspects of the topology of the graph, and by extension of the document represented as a graph. Integrating such properties into ranking allows us to consider issues such as discourse coherence, flow and density during retrieval. We experimentally show that this type of ranking performs comparably to BM25, and can even outperform it, across different TREC (Voorhees and Harman in TREC: Experiment and evaluation in information retrieval, MIT Press, 2005) datasets and evaluation measures.