Smartphones and Learning: An Extension of M-Learning or a Distinct Area of Inquiry

The smartphone has become an integral part of the education landscape. While there has been significant smartphone research in education under the guise of m-learning, the unique role of the device suggests that m-learning may not be an appropriate characterization. The purpose of this paper is to review the use of m-learning as a primary descriptor for smartphone-and learning-related research. In support of this goal, the paper reviews the definitions associated with m-learning, smartphones, and related technologies from the perspective of educational research. In addition, a review of author keywords of research on smartphones in education is used to provide context to the classification of the research. Finally, three theoretically guided smartphone programs are presented as evidence of the unique nature of smartphone and learning research. This review concludes with recommendations for the characterization of future research

Career and Technical Education Experiences Relationship to Technology Attitudes, Self-regulation and Grit

Career and Technical Education (CTE) secondary school experiences have a positive impact on career development and academic achievement. This study explores other positive impacts such as technology attitudes, persistence, and cognitive traits that are associated with career and academic success. This study investigated the relationships between high school CTE experiences of 103 pre-service education students and technology attitudes, grit, and self-regulated learning. The results demonstrate a statistically significant positive correlation between the number of CTE courses taken in high school and technology dependence. Similarly, there is a positive correlation between CTE courses and self-regulatory skills. Grit was positively correlated with internship experiences in high school

Smartphones and Learning: An Extension of M-Learning or a Distinct Area of Inquiry

The smartphone has become an integral part of the education landscape. While there has been significant smartphone research in education under the guise of m-learning, the unique role of the device suggests that m-learning may not be an appropriate characterization. The purpose of this paper is to review the use of m-learning as a primary descriptor for smartphone- and learning-related research. In support of this goal, the paper reviews the definitions associated with m-learning, smartphones, and related technologies from the perspective of educational research. In addition, a review of author keywords of research on smartphones in education is used to provide context to the classification of the research. Finally, three theoretically guided smartphone programs are presented as evidence of the unique nature of smartphone and learning research. This review concludes with recommendations for the characterization of future research

Smartphone Usage and Studying: Investigating Relationships between Type of Use and Self-Regulatory Skills

The purpose of this study is to investigate the relationships between self-regulated learning skills and smartphone usage in relation to studying. It is unclear whether poor learning habits related to smartphone usage are unique traits or a reflection of existing self-regulated learning skills. The self-regulatory skills (a) regulation, (b) knowledge, and (c) management of cognition were measured and compared to the smartphone practices (a) multitasking, (b) avoiding distractions, and (c) mindful use. First-year undergraduates (n = 227) completed an online survey of self-regulatory skills and common phone practices. The results support the predictions that self-regulatory skills are negatively correlated with multitasking while studying and are positively correlated with distraction avoidance and mindful use of the phone. The management of cognition factor, which includes effort, time, and planning, was strongly correlated with multitasking (r = −0.20) and avoiding distractions (r = 0.45). Regulation of cognition was strongly correlated with mindful use (r = 0.33). These results support the need to consider the relationship between self-regulation and smartphone use as it relates to learning

The Smartphone in Self-regulated Learning and Student Success: Clarifying Relationships and Testing an Intervention

This two-part observational and intervention study addressed the role of the smartphone in self-regulated learning (SRL) and student success as measured by achievement. Smartphone usage among students has been identified as contributing to lower academic achievement in a variety of settings. What is unclear is how smartphone usage contributes to lower outcomes. This study surveyed participants’ self-regulated learning skills and smartphone usage at the beginning and end of the term for first semester undergraduates. A regression analysis demonstrated that when controlling for prior achievement, general SRL measures had a positive impact on first semester achievement. Smartphone related SRL did not have a direct impact on achievement. The second part of the study evaluated the efficacy of a brief intervention to ameliorate factors contributing to lower achievement. Students were presented with either SRL strategies, awareness and attention strategies or career planning guidance (control). A regression analysis of the brief intervention resulted in modest gains in SRL but did not influence achievement

Development of the Smartphone and Learning Inventory: Measuring Self-Regulated Use

Smartphone use in learning environments can be productive or distracting depending upon the type of use. The use is also impacted by the learner’s view and understanding of the smartphone and self-regulated learning skills. Measures are needed to specify uses and learner understandings to address the implications for teaching and learning. This study reports on the development of a multi-factor inventory designed to measure multitasking while studying, avoiding distractions while studying, mindful phone use, and phone knowledge. The inventory was completed by 514 undergraduate students enrolled in a first-year seminar. The results indicate good reliability and a three-factor structure with multitasking and avoiding distraction merging into one factor. The resulting measure can support research to improve self-regulation of smartphone use. Suggestions regarding instructional use are provided

Ratio Estimation in SIMS Analysis

The determination of an isotope ratio by secondary ion mass spectrometry (SIMS) traditionally involves averaging a number of ratios collected over the course of a measurement. We show that this method leads to an additive positive bias in the expectation value of the estimated ratio that is approximately equal to the true ratio divided by the counts of the denominator isotope of an individual ratio. This bias does not decrease as the number of ratios used in the average increases. By summing all counts in the numerator isotope, then dividing by the sum of counts in the denominator isotope, the estimated ratio is less biased: the bias is approximately equal to the ratio divided by the summed counts of the denominator isotope over the entire measurement. We propose a third ratio estimator (Beale's estimator) that can be used when the bias from the summed counts is unacceptably large for the hypothesis being tested. We derive expressions for the variance of these ratio estimators as well as the conditions under which they are normally distributed. Finally, we investigate a SIMS dataset showing the effects of ratio bias, and discuss proper ratio estimation for SIMS analysis

Some functional equations related to the characterizations of information measures and their stability

The main purpose of this paper is to investigate the stability problem of some functional equations that appear in the characterization problem of information measures.Comment: 36 pages. arXiv admin note: text overlap with arXiv:1307.0657, arXiv:1307.0631, arXiv:1307.0664, arXiv:1307.065

Moderating Readers and Reading Online

Despite the proliferation of online forums for the discussion of literary texts, very little has been written to date on the management of these spaces and how this helps frame the kinds of discussion and interpretative work that take place. This article draws on a series of interviews with moderators of online book-related sites, alongside close analysis of online interactions between moderators and users to consider issues of authority, hierarchy, power and control, asking how these act to structure or facilitate acts of interpretation taking place online. We begin by outlining the moderator's role before conducting a brief review of existing scholarship on offline reading groups and online communities, to identify how social infrastructures are established and negotiated. The main body of the article draws upon interviews with moderators of two online literary forums – The Republic of Pemberley and The Guardian’s online Reading Group – to explore the ways in which each of the respective moderators frames his or her role. This is accompanied by an in-depth exploration of how the forms of interpretation we find on the two sites are shaped and directed by the moderators. The article concludes by reflecting upon some of the issues raised by this study and its methodology, particularly with regards to digital dualism and the blurring of the boundaries between the public and the private in online spaces

Societal Learning in Epidemics: Intervention Effectiveness during the 2003 SARS Outbreak in Singapore

BACKGROUND: Rapid response to outbreaks of emerging infectious diseases is impeded by uncertain diagnoses and delayed communication. Understanding the effect of inefficient response is a potentially important contribution of epidemic theory. To develop this understanding we studied societal learning during emerging outbreaks wherein patient removal accelerates as information is gathered and disseminated. METHODS AND FINDINGS: We developed an extension of a standard outbreak model, the simple stochastic epidemic, which accounts for societal learning. We obtained expressions for the expected outbreak size and the distribution of epidemic duration. We found that rapid learning noticeably affects the final outbreak size even when learning exhibits diminishing returns (relaxation). As an example, we estimated the learning rate for the 2003 outbreak of severe acute respiratory syndrome (SARS) in Singapore. Evidence for relaxation during the first eight weeks of the outbreak was inconclusive. We estimated that if societal learning had occurred at half the actual rate, the expected final size of the outbreak would have reached nearly 800 cases, more than three times the observed number of infections. By contrast, the expected outbreak size for societal learning twice as effective was 116 cases. CONCLUSION: These results show that the rate of societal learning can greatly affect the final size of disease outbreaks, justifying investment in early warning systems and attentiveness to disease outbreak by both government authorities and the public. We submit that the burden of emerging infections, including the risk of a global pandemic, could be efficiently reduced by improving procedures for rapid detection of outbreaks, alerting public health officials, and aggressively educating the public at the start of an outbreak