Programmed instruction: What it is and how to do it

Five behaviorological features of programmed instruction are outlined: behavioral objectives, reinforcement, activity rate: high and relevant, successive approximation, and mastery progression. Each of these topics is explained, and examples are given to illustrate the differences between programmed instruction and the more common transmission model of teaching. A final section provides suggestions on specific techniques of successive approximation.     

The equivalence of learning paths in early science instruction: effect of direct instruction and discovery learning

In a study with 112 third- and fourth-grade children, we measured the relative effectiveness of discovery learning and direct instruction at two points in the learning process: (a) during the initial acquisition of the basic cognitive objective (a procedure for designing and interpreting simple, unconfounded experiments) and (b) during the subsequent transfer and application of this basic skill to more diffuse and authentic reasoning associated with the evaluation of science-fair posters. We found not only that many more children learned from direct instruction than from discovery learning, but also that when asked to make broader, richer scientific judgments, the many children who learned about experimental design from direct instruction performed as well as those few children who discovered the method on their own. These results challenge predictions derived from the presumed superiority of discovery approaches in teaching young children basic procedures for early scientific investigations.     

Mathematics instruction in Head Start: Nature,extent, and contributions to children's learning

This study employed the most recent (2006) cohort of the nationally representative Family and Child Experiences Survey (FACES) to explore the nature of mathematics instruction in Head Start and the child, family, and teacher factors that contribute to children's mathematics learning over the preschool year. In total, 2501 preschoolers and their families, as well as their teachers (n = 335), participated in the study from fall 2006 to spring 2007. Results showed that teachers reported frequent mathematics instruction, although direct observations did not entirely confirm this frequency. A variety of factors predicted children's mathematics knowledge at Head Start entry, and several – including instructional quality – were linked to learning over time. No thresholds in instructional quality emerged. Overall, this study provides new information about classroom mathematics instruction and child learning among the nation's most vulnerable early learners.     

A prologue to nostalgia: savouring creates nostalgic memories that foster optimism

How are nostalgic memories created? We considered savouring as one process involved in the genesis of nostalgia. Whereas nostalgia refers to an emotional reflection upon past experiences, savouring is a process in which individuals deeply attend to and consciously capture a present experience for subsequent reflection. Thus, having savoured an experience may increase the likelihood that it will later be reflected upon nostalgically. Additionally, to examine how cognitive and emotional processes are linked across time, we tested whether nostalgia for a previously savoured experience predicts optimism for the future. Retrospective reports of having savoured a positive event were associated with greater nostalgia for the event (Study 1). Retrospective reports of savouring a time period (college) were associated with greater nostalgia for that time period when participants were in a setting (alumni reunion event) that prompted thoughts of the time period (Study 2). Savouring an experience predicted nostalgia for the experience 4–9 months later (Study 3). Additionally, nostalgia was associated with greater optimism (Studies 2-3). Thus, savouring provides a foundation for nostalgic memories and an ensuing optimism.     

The critique of intellect: Henri Bergson's prologue to an organic epistemology

Bergson never dared to entitle his own work in such a fashion. However, his philosophical contribution on the workings of intelligence deserves such a high title. This article seeks to elucidate Bergson's contribution to philosophy in terms of his anticipation of several developments in human understanding. The work begins by investigating the relation between thought and the world (reality) by reviewing a series of constructivist concepts. In many ways, constructivism is related to both structuralism and post-structuralism, however this work does not seek to detail these interrelations in any overt way. Instead, these concepts lay the groundwork for a review of Bergson's discussion of intellect in relation to life, psyche, and modern physics. Central concepts include limitation, circularity, and complementarity. Ultimately, the article seeks to display how Bergson's work is not only a precursor to constructivism but lays the foundation for a modified constructivism that can achieve a rigorous philosophical level. The proposed ground for the intellect is in the organic. Such an epistemological foundationalism would ultimately justify an evolutionary epistemology, in that, the structuring of the organic is evolving and thus the structuring of intellect would likewise evolve. Clarifying such an epistemology may aid in developing Delueze's an-organic bergsonism.     

How to support learning with multimedia instruction: Implementation intentions help even when load is high

There is ample evidence that multimedia learning is challenging, and learners often underutilize appropriate cognitive processes. Previous research has applied prompts to promote the use of helpful cognitive processing. However, prompts still require learners to regulate their learning, which may interfere with learning, especially in situations where cognitive demands are already high. As an alternative, implementation intentions (i.e. if-then plans) are expected to help regulate behaviour automatically due to their specific wording, thereby offloading demands. Accordingly, this study aimed at investigating whether implementation intentions compared with prompts improve learning performance, especially under high cognitive load. Students (N = 120) learned either in a control condition without instructional support, with prompts, or with implementation intentions. Within each condition, half of the participants studied the multimedia instruction under conditions of either high or low cognitive load, which was experimentally manipulated by instructing them to perform one of two secondary tasks. In line with our hypotheses, the results showed that under low cognitive load, both prompts and implementation intentions led to better learning than the control condition. By contrast, under high cognitive load, only implementation intentions promoted learning. Thus, implementation intentions are an efficient means to promote learning even under challenging circumstances.     

Development of relational learning: Effects of instruction and delay of transfer

Preschool children were trained on a color relevant oddity problem by one of three methods: increased salience of the oddity relationship, instruction on the solution rule, or a combination of increased salience and rule instruction. The youngest Ss solved the training problem when the solution rule was provided but not under the salience procedure. The two older groups solved in all conditions and errors decreased with age. The generality of the solution was determined by performance on a form relevant transfer task. The youngest Ss made fewer errors on the transfer problem following rule instruction training than following training in the combined procedure. The intermediate age group made fewer errors when the transfer task was administered one week after training than one minute after training. The transfer problem was easily solved by the oldest Ss and performance was independent of training procedure and amount of delay. These results were interpreted as reflecting developmental differences in relational concept learning.     

Theory of learning mathematics with computer-assisted instruction: Hierarchical and nonhierarchical options

The learning of arithmetic problems is assumed to be a Markov process involving conditioning of a set of k subskills, each consisting of one or more productions. An axiom set is provided, with the choice between two options for one axiom controlling which of two models results. Model 1, which assumes that every subskill is attempted on every occurrence of a given problem, is a nonhierarchical model. Model 2, which assumes that every subskill in the temporal sequence for a problem is attempted until one is failed, is a somewhat unconventional hierarchical model: It is hierarchical in the sense that conditioningor chance success at one level is prerequisite to performance of the next subskill (next level) in the problem. As the value of the guessing parameter, g, declines, Model 2 leads to less efficient learning than Model 1.     

Grouping students for instruction: effects of learning style on achievement and attitudes

The present study examined the effects of matching and mismatching American middle-school students with a preference for learning alone or learning with peers with selected instructional treatments in order to determine the impact upon their attitudes and achievement in social studies. Analysis revealed that the learning-alone preference performed significantly better in the learning-alone condition and that the learning-with-peers preference performed significantly better in the learning-with-peers condition. However, no-preference students also performed significantly better in the learning-alone condition than with peers. In addition, data revealed that the learning-alone and the learning-with-peers students had significantly more positive attitudes when matched with their preferred learning style; the nopreference students had more positive attitudes in the learning-alone condition.     

Decentered online Bible instruction: How active learning enhances the study of Scripture

The field of biblical studies lends itself well to decentered online learning – a kind that uses active learning to engage primary texts and their interpretations. Not only does such an approach work well in online and hybrid formats, it more readily welcomes readings that are more contextual, constructive, and collaborative. Three aspects best characterize a decentered approach to active learning online: an orientation toward primary texts, collaborative inquiry, and enhanced learner initiative. This essay describes the significance of each in turn, along with naming some best practices. I argue that this approach not only shifts focus toward learners and the learning environment, it works particularly well for teaching Bible courses online and in hybrid formats where interpretation of primary sources is the fundamental goal.     

The role of instruction preference in analogy learning: Brain activity and motor performance

This study examined the role of verbal instruction preference when learning motor skills by analogy. During skill learning, analogies are a useful tool for providing knowledge about how to move. It has been argued that analogy instructions reduce reliance on verbal information processes during motor planning, compared to traditional forms of instruction (i.e., explicit rules about how to move). This may be reflected by reduced verbal activity in the brain, measured by EEG alpha power at the temporal region, as well as reduced verbal-motor cross-communication (EEG T7-Fz coherence) during the preparation phase of a movement. Preference for using verbal or visual instructions is likely to influence the efficacy of analogy instructions. This study investigated whether preference for verbal instructions was related to a) changes in performance and b) changes in verbal-cognitive information processing during performance of an adapted basketball task after instruction by analogy. Basketball novices with a high preference for verbal instructions (n = 15) showed significantly decreased activation of verbal brain regions when they used the analogy (high-alpha power), but their performance remained stable. Novices with a low preference for verbal instructions (n = 13) did not show a significant decrease in activation of verbal regions, and their performance deteriorated significantly after introduction of the analogy instruction. It is likely that both cognitive and performance changes after analogy instruction depend on personal aspects of information processing, such as verbal preference.     

The effects of verbal instruction on affective and expectancy learning

The current research assessed the effects of verbal instruction on affective and expectancy learning during repeated contingency reversals (Experiment 1) and during extinction (Experiment 2) in a picture-picture paradigm. Affective and expectancy learning displayed contingency reversal and extinction, but changes were slower for affective learning. Instructions facilitated reversal and extinction of expectancy learning but did not impact on affective learning. These findings suggest a differential susceptibility of affective and expectancy learning to verbal instruction and question previous reports that verbal instructions can accelerate the extinction of non-prepared fear learning in humans.