Connecting Video Segments to Collaborative Learning Activities

Abstract

The article discusses how sections of a video can best be used in the instructional process by activating the minds of students and using their reactions to viewing to produce intellectual action. It gives some suggested schemes for this activity and shows how technological forces can become energies of change.     

The secret life of the chemical bond: students’ anthropomorphic and animistic references to bonding

This paper discusses students’ use of anthropomorphic language in science, and in particular calls upon some examples from research into student understanding of chemical bonding. It is argued that anthropomorphic language is common amongst scientists as well as science students. A simple classification of such instances is suggested to distinguish between those examples that are useful in aiding communication and understanding, and those which merely stand in place of such understanding.     

The Impact of Tier 2 Mathematics Instruction on Second Graders with Mathematics Difficulties

Although research on Tier 2 interventions for early mathematics is accumulating, such efforts remain far behind those for reading, especially regarding specific features such as the ideal time to begin an intervention. The present study investigated the effectiveness of a Tier 2 intervention using a single subject multiple baseline, across-groups design with two cohorts of second graders. Because the two cohorts of students were given the intervention at different times during the second grade year, the study also documented whether the timing of the intervention affected acquisition and retention of second grade mathematics competencies. Finally, the study tracked student performance up to the first semester of the third grade year to document any sustained effects. The results show that the supplemental intervention was effective for both cohorts, but differences in performance indicate that the timing of the intervention may affect the degree of success. In addition, for some participants, the positive effects of the intervention were sustained into the third grade year.     

Statistical methods for analysing discrete and categorical data recorded in performance analysis

In this paper, we identify appropriate statistical methods for analysing categorical differences in discrete variables or 'performance indicators' resulting from performance analysis. The random mechanisms associated with discrete events do not follow a normal distribution; that is, the normal distribution is a continuous not a discrete probability distribution. We propose appropriate statistical methods based on two key discrete probability distributions, the Poisson and binomial distributions. Two approaches are proposed and compared using examples from notational analysis. The first approach is based on the classic chi-square test of significance (both the goodness-of-fit test and the test of independence). The second approach adopts a more contemporary method based on log-linear and logit models fitted using the statistical software GLIM. Provided relatively simple one-way and two-way comparisons in categorical data are required, both of these approaches result in very similar conclusions. However, as soon as more complex models or higher-order comparisons are required, the approach based on log-linear and logit models is shown to be more effective. Indeed, when investigating those factors and categorical differences associated with binomial or binary response variables, such as the proportion of winners when attempting decisive shots in squash or the proportion of goals scored from all shots in association football, logit models become the only realistic method available. By applying log-linear and logit models to discrete events resulting from notational analysis, greater insight into the underlying mechanisms associated with sport performance can be achieved.