Analytic Frameworks for Assessing Dialogic Argumentation in Online Learning Environments

Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in dialogic argumentation. This review examines five categories of analytic frameworks for measuring participant interactions within these environments focusing on (1) formal argumentation structure, (2) conceptual quality, (3) nature and function of contributions within the dialogue, (4) epistemic nature of reasoning, and (5) argumentation sequences and interaction patterns. Ultimately, the review underscores the diversity of theoretical perspectives represented within this research, the nature of dialogic interaction within these environments, the importance of clearly specifying theoretical and environmental commitments throughout the process of developing or adopting an analytic framework, and the role of analytic frameworks in the future development of online learning environments for argumentation.

Metacognition and Human Performance Improvement Originally published in 1988, PIQ 1.1

An understanding of the uses of metacognition provides a powerful tool toward developing quality and efficiency in task learning and performance. Metacognition is the executive controller of cognitive processes responsible both for self regulated learning and work performance outcomes. Comprehension monitoring and motivation are two prime components of metacognition which are responsible for commitment to, and definition of, goals, monitoring progress toward goals, and activating the appropriate thinking skills to achieve goals. Specific thinking skill categories of attention, organization, and elaboration are described with examples of how specific techniques in each category can optimize learning and job performance. Research on training of metacognitive skills through both detached and embedded skill-development programs is reviewed. In addition, ways to compensate for metacognitive skills when training is not cost-effective are described. The relationship between metacognitive skills and effective management of work performance is stressed.     

Metacognition and Human Performance Improvement

An understanding of the uses of meta-cognition provides a powerful tool toward developing quality and efficiency in task learning and performance. Metacognition is the executive controller of cognitive processes responsible both for self regulated learning and work performance outcomes. Comprehension monitoring and motivation are two prime components of metacognition which are responsible for commitment to, and definition of, goals, monitoring progress toward goals, and activating the appropriate thinking skills to achieve goals. Specific thinking skill categories of attention, organization, and elaboration are described with examples of how specific techniques in each category can optimize learning and job performance. Research on training of metacognitive skills through both detached and embedded skill-development programs is reviewed. In addition, ways to compensate for metacognitive skills when training is not cost-effective are described. The relationship between metacognitive skills and effective management of work performance is stressed.     

The effect of acceleration signal processing for head impact numeric simulations

Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modeling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8–30g) and rotational measures (1000–4000 rad/s²), but little effect on the finite element strain result (approximately 2–6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.     

Profile analysis of standardized intelligence test performance of very high IQ children

Practitioners are frequently faced with the need to evaluate the intellectual skills of individuals with very high levels of functioning. Due to the statistical rarity of these persons, few tests have sufficient range of scores for a detailed analysis of intraindividual differences in performance. This paper describes a method using age equivalents and standard scores to recreate the full range of variability in the scores of high-functioning individuals. The method allows for a more complete interpretation of performance that can lead to better educational and therapeutic programming.