Leveraging learning experience design: digital media approaches to influence motivational traits that support student learning behaviors in undergraduate online courses.

Higher education may benefit from investigating alternative evidence-based methods of online learning to understand students' learning behaviors while considering students' social cognitive motivational traits. Researchers conducted an in situ design-based research (DBR) study to investigate learner experience design (LXD) methods, deploying approaches of asynchronous video, course dashboards, and enhanced user experience. This mixed-methods study (N = 181) assessed associations of students' social cognitive motivational traits (self-efficacy, task-value, self-regulation) influencing their learning behaviors (engagement, elaboration, critical thinking) resulting from LXD. Social cognitive motivational traits were positively predictive of learning behaviors. As motivational factors increased, students' course engagement, usage of elaboration, and critical thinking skills increased. Self-efficacy, task-value, and self-regulation explained 31% of the variance of engagement, 47% of the explained variance of critical thinking skills, and 57% of the explained variance in the usage of elaboration. As a predictor, task-value beliefs increased the proportion of explained variance in each model significantly, above self-efficacy and self-regulation. Qualitative content analysis corroborated these findings, explaining how LXD efforts contributed to motivations, learning behaviors, and learning experience. Results suggest that mechanisms underpinning LXD and students' learning behaviors are likely the result of dynamically catalyzing social cognitive motivational factors. The discussion concludes with the LXD affordances that explain the positive influences in students' social cognitive motivational traits and learning behaviors, while also considering constraints for future iterations.

The dynamics of niche evolution upon abrupt environmental change.

Abrupt environmental changes are of particular interest to understand how species can quickly evolve at the boundary of their current niche. In particular the "sliding niche" model, wherein a niche shifts globally toward the new condition, has been used in understanding and modeling this process. Here, we investigate the dynamics of relative fitness change in four evolutionary replicates of Escherichia coli populations exposed to an extreme pH shift. We analyzed these changes at generations 500, 1000, and 2000 to determine whether niche global deformations fully capture the temporal dynamics of niche evolution. Strikingly, this analysis reveals that fitness variations can indeed be attributed to simple and global deformation of an underlying simple niche template. Analysis from two experimental replicates displays a transient increase in niche width, consistent with recent theory considering plasticity evolution in the context of an abrupt environmental change. We term this scenario the "sidestep niche model."

Microbial experimental evolution.

Microbes have been widely used in experimental evolutionary studies because they possess a variety of valuable traits that facilitate large-scale experimentation. Many replicated populations can be cultured in the laboratory simultaneously along with appropriate controls. Short generation times and large population sizes make microbes ideal experimental subjects, ensuring that many spontaneous mutations occur every generation and that adaptive variants can spread rapidly through a population. Another highly useful experimental feature is the ability to preserve and store ancestral and evolutionarily derived clones. These can be revived in parallel to allow the direct measurement of the competitive fitness of a descendant compared with its ancestor. The extent of adaptation can thereby be measured quantitatively and compared statistically by direct competition among derived groups and with the ancestor. Thus, fitness and adaptation need not be matters of qualitative speculation, but are quantitatively measurable variables in these systems. Replication allows the quantification of heterogeneity in responses to imposed selection and thereby statistical distinction between changes that are systematic responses to the selective regimen and those that are specific to individual populations.

Production of random DNA oligomers for scalable DNA computing.

While remarkably complex networks of connected DNA molecules can form from a relatively small number of distinct oligomer strands, a large computational space created by DNA reactions would ultimately require the use of many distinct DNA strands. The automatic synthesis of this many distinct strands is economically prohibitive. We present here a new approach to producing distinct DNA oligomers based on the polymerase chain reaction (PCR) amplification of a few random template sequences. As an example, we designed a DNA template sequence consisting of a 50-mer random DNA segment flanked by two 20-mer invariant primer sequences. Amplification of a dilute sample containing about 30 different template molecules allows us to obtain around 10(11) copies of these molecules and their complements. We demonstrate the use of these amplicons to implement some of the vector operations that will be required in a DNA implementation of an analog neural network.

Evolutionary adaptation to environmental pH in experimental lineages of Escherichia coli.

This study uses the enteric bacterium Escherichia coli as an experimental system to examine evolutionary responses of bacteria to an environmental acidic-alkaline range between pH 5.3 and 7.8 (15-5000 nM [H(+)]). Our goal was both to test general hypotheses about adaptation to abiotic variables and to provide insights into how coliform organisms might respond to changing conditions inside and outside of hosts. Six replicate lines of E. coli evolved for 2000 generations at one of four different constant pH conditions: pH 5.3, 6.3, 7.0, or 7.8. Direct adaptation to the evolutionary environment, as well as correlated changes in other environments, was measured as a change in fitness relative to the ancestor in direct competition experiments. The pH 5.3 group had the highest fitness gains, with a highly significant increase of 20%. The pH 7.8 group had far less significant gains and much higher variance among its lines. Analysis of individual lines within these two groups revealed complex patterns of adaptation: all of the pH 5.3 lines exhibited trade-offs (reduced fitness in another environment), but only 33% of the pH 7.8 lines showed such trade-offs and one of the pH 7.8 lines demonstrated exaptation by improving fitness in the pH 5.3 environment. Although there was also prevalent exaptation in other groups to the acidic environment, there were no such cases of exaptation to alkalinity. Comparison across the entire experimental pH range revealed that the most acidic lines, the pH 5.3 group, were all specialists, in contrast to the pH 6.3 lines, which were almost all generalists. That is, although none of the pH 5.3 lines showed any correlated fitness gains, all of the pH 6.3 lines did.

An experimental evolutionary study on adaptation to temporally fluctuating pH in Escherichia coli.

In this study, we use the bacterium Escherichia coli to examine evolutionary responses to environmental acidity fluctuating temporally among pH 5.3, 6.3, 7.0, and 7.8 (5,000-15 nM [H(+)]). Two experimental protocols of temporal variation were used. One group (six replicate lines) of populations evolved for 2,000 generations during exposure to a cycled regime fluctuating daily between pH 5.3 and 7.8. The other group (also in six replicate lines) evolved during exposure for 2,000 generations to a randomly shifting regime fluctuating stochastically each day among pH 5.3, 6.3, 7.0, and 7.8. Adaptation to these fluctuating acidity regimes was measured as a change in fitness relative to the common ancestor by direct competition experiments in both constant and fluctuating pH regimes. For comparisons with constant pH evolution, a group evolved at a constant pH of 5.3 and another group evolved at pH 7.8 were also tested. This study initiated the first long-term laboratory natural selection experiment on adaptation to variable acidity and addressed key questions concerning patterns of adaptation (trade-offs, specialists, generalists, plasticity, transitions, and acclimation) in temporally fluctuating environments.