Comparing skill acquisition under varying onsets of differential reinforcement: A preliminary analysis

The purpose of the current study was to evaluate the effect of implementing differential reinforcement at different times relative to the onset of teaching new skills to learners with autism spectrum disorder. Specifically, we first determined the most efficient differential reinforcement arrangement for each participant. Using the most efficient arrangement, we evaluated if differential reinforcement from the immediate onset, early onset, or late onset is the most efficient for learners to acquire a new skill. Three children diagnosed with autism spectrum disorder who have a history of receiving intervention based on the principles of applied behavior analysis participated in this study. The immediate onset of differential reinforcement resulted in the most efficient instruction in 6 of 7 comparisons. The results are discussed in light of previous studies and suggestions for future research are provided.     

Translating Toulmin Diagrams: Theory Neutrality in Argument Representation

The Toulmin diagram layout is very familiar and widely used, particularly in the teaching of critical thinking skills. The conventional box-and-arrow diagram is equally familiar and widespread. Translation between the two throws up a number of interesting challenges. Some of these challenges (such as the relationship between Toulmin warrants and their counterparts in traditional diagrams) represent slightly different ways of looking at old and deep theoretical questions. Others (such as how to allow Toulmin diagrams to be recursive) are diagrammatic versions of questions that have already been addressed in artificial intelligence models of argument. But there are further questions (such as the relationships between refutations, rebuttals and undercutters, and the roles of multiple warrants) that are posed as a specific result of examining the diagram inter-translation problem. These three classes of problems are discussed. To the first class are addressed solutions based on engineering pragmatism; to the second class, are addressed solutions drawn from the appropriate literature; and to the third class, fuller exploration is offered justifying the approaches taken in developing solutions that offer both pragmatic utility and theoretical interest. Finally, these solutions are explored briefly in the context of the Araucaria system, showing the ways in which analysts can tackle arguments either using one diagrammatic style or another, or even a combination of the two.     

A Review of the Effects of Interspersing Procedures on the Stages of Academic Skill Development

Basic and applied research related to the effects of interspersing trials of maintenance (i.e., review) tasks among trials of acquisition tasks on academic skill development is reviewed. In general, empirical research suggests that interspersing procedures are effective in facilitating acquisition, learning rate, and maintenance. However, some inconsistency exists among the data that suggests student learning, in some instances, may be impeded. Research also suggests that interspersing procedures are not conducive to facilitating generalization. The discrepancy between various research findings and the consistent failure of research on interspersing procedures to increase generalization is critically reviewed in relation to a hierarchical learning theory set forth by Haring and Eaton (1978). From this hierarchical learning theory perspective, inconsistent results may be better understood and predicted. Implications for current practice and directions for future research are also discussed.     

A rapid assessment of skills in young children with autism

Educational interventions based on the principles of behavior analysis are highly effective for establishing skills in young children with autism. As a first step in program development, the child's current skill level is determined by evaluating performance on tasks drawn from a preestablished curriculum. However, few specific guidelines have been delineated for conducting these skills assessments or interpreting the results. In this study, we evaluated an efficient methodology for conducting skills assessments. Six children who had been diagnosed with autism participated. The relative efficacy of two assessment packages--one containing several reinforcement procedures and one containing several potentially effective prompts--was evaluated across two to three skills for each child using multiple baseline and reversal designs. Results suggested that the methodology was useful for matching targeted skills to appropriate interventions.     

Fostering learning from instructional video in a second language

This study investigated the most effective way to present an instructional video that contains words in the students' second language. Korean‐speaking university students received a 16‐min video lesson on Antarctica that included English narration (video + narration group), English text subtitles (video + text group), or English narration with simultaneous text subtitles (video + narration + text group). On a comprehension test, the video + text group scored higher than each of the other two groups, in contrast to the modality effect; and the video + narration + text group outscored the video + narration group, in contrast to the redundancy effect. Each of the lessons that included text was rated as less difficult than the lesson with narration only. The narration + text group reported lower effort than each of the other groups. Results highlight boundary conditions for two principles of multimedia instructional design that apply for college students who are learning in a second language. Theoretical implications are discussed.     

Discounting model selection with area‐based measures: A case for numerical integration

A novel method for analyzing delay discounting data is proposed. This newer metric, a model‐based Area Under Curve (AUC) combining approximate Bayesian model selection and numerical integration, was compared to the point‐based AUC methods developed by Myerson, Green, and Warusawitharana (2001) and extended by Borges, Kuang, Milhorn, and Yi (2016). Using data from computer simulation and a published study, comparisons of these methods indicated that a model‐based form of AUC offered a more consistent and statistically robust measurement of area than provided by using point‐based methods alone. Beyond providing a form of AUC directly from a discounting model, numerical integration methods permitted a general calculation in cases when the Effective Delay 50 (ED50) measure could not be calculated. This allowed discounting model selection to proceed in conditions where data are traditionally more challenging to model and measure, a situation where point‐based AUC methods are often enlisted. Results from simulation and existing data indicated that numerical integration methods extended both the area‐based interpretation of delay discounting as well as the discounting model selection approach. Limitations of point‐based AUC as a first‐line analysis of discounting and additional extensions of discounting model selection were also discussed.