University of Hawaii–West Oahu

Discussion of the topic of motivation in second‐language (SL) learning contexts has been limited by the understanding the field of applied linguistics has attached to it. In that view, primary emphasis is placed on attitudes and other social psychological aspects of SL learning. This does not do full justice to the way SL teachers have used the term motivation. Their use is more congruent with definitions common outside social psychology, specifically in education. In this paper, we review the standard applied linguistics approach to this topic, and go on to provide an overview of research into motivation in mainstream education. This is used both to demonstrate the utility of other concepts of motivation to the SL field and as the basis for a research agenda for SL investigations of motivation thus conceived.

Marine ecosystems are threatened by a suite of anthropogenic stressors. Mitigating multiple threats is a daunting task, particularly when funding constraints limit the number of threats that can be addressed. Threats are typically assessed and prioritized via expert opinion workshops that often leave no record of the rationale for decisions, making it difficult to update recommendations with new information. We devised a transparent, repeatable, and modifiable method for collecting expert opinion that describes and documents how threats affect marine ecosystems. Experts were asked to assess the functional impact, scale, and frequency of a threat to an ecosystem; the resistance and recovery time of an ecosystem to a threat; and the certainty of these estimates. To quantify impacts of 38 distinct anthropogenic threats on 23 marine ecosystems, we surveyed 135 experts from 19 different countries. Survey results showed that all ecosystems are threatened by at least nine threats and that nine ecosystems are threatened by >90% of existing threats. The greatest threats (highest impact scores) were increasing sea temperature, demersal destructive fishing, and point-source organic pollution. Rocky reef, coral reef, hard-shelf, mangrove, and offshore epipelagic ecosystems were identified as the most threatened. These general results, however, may be partly influenced by the specific expertise and geography of respondents, and should be interpreted with caution. This approach to threat analysis can identify the greatest threats (globally or locally), most widespread threats, most (or least) sensitive ecosystems, most (or least) threatened ecosystems, and other metrics of conservation value. Additionally, it can be easily modified, updated as new data become available, and scaled to local or regional settings, which would facilitate informed and transparent conservation priority setting.

Pan-STARRS is a highly cost-effective, modular and scalable approach to wide-field optical/NIR imaging. It uses 1.8m telescopes with very large (7 square degree) field of view and revolutionary1.4 billion pixel CCD cameras with low noise and rapid read-out to provide broad-band imaging from 400-1000nm wavelength. The first single telescope system, PS1, has been deployed on Haleakala on Maui, and has been collecting science quality survey data for approximately six months. PS1 will be joined by a second telescope PS2 in approximately 18 months. A four aperture system is planned to become operational following the end of the PS1 mission. This will be able to scan the entire visible sky to approximately 24th magnitude in less than a week, thereby meeting the goals set out by the NAS 2000 decadal review for a "Large Synoptic Sky Telescope". Here we review the technical design, and give an update on the progress that has been made with the PS1 system.

MOTIVATION: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. MAIN TYPES OF VARIABLES INCLUDED: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. SPATIAL LOCATION AND GRAIN: ). TIME PERIOD AND GRAIN: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. MAJOR TAXA AND LEVEL OF MEASUREMENT: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. SOFTWARE FORMAT: .csv and .SQL.

Language testing differs from testing in other content areas because language teachers have more choices to make. The purpose of this article is to help language teachers decide what types of language tests to use in their particular institutions and classrooms for their specific purposes. The various kinds of language assessments are classified into three broad categories: (a) selected-response assessments (including true-false, matching, and multiple-choice assessments); (b) constructedresponse assessments (including fill-in, short-answer, and performance assessments); and (c) personal-response assessments (including conference, portfolio, and self- or peer assessments). For each assessment type, we provide a clear definition and explore its advantages and disadvantages. We end the article with a discussion of how teachers can make rational choices among the various assessment options by thinking about (a) the consequences of the washback effect of assessment procedures on language teaching and learning, (b) the significance of feedback based on the assessment results, and (c) the importance of using multiple sources of information in making decisions based on assessment information.

Understanding connectivity remains a fundamental challenge to marine ecology due to technical limitations of tracking larval dispersal.Marine population genetic analyses are often used to make inferences about the scale of population connectivity.For species with a larval phase, pelagic larval duration (PLD) is assumed to influence the scale of connectivity.If PLD and genetic metrics are reliable proxies of connectivity, the 2 should be well correlated.Previous tests report conflicting results, with many reports that global F ST (Wright's fixation index) correlates poorly with PLD, and one very high correlation of isolation-by-distance (IBD) slope, which is derived from F ST , with PLD.First we clarify the expectations for the performance of these different proxies in light of the latest understanding of larval dispersal dynamics.We then test the hypothesis that IBD slope may be a more robust correlate with dispersal scale than global F ST with a new dataset of recent marine genetic studies.Re-evaluation of previously published and new datasets revealed a consistent, moderate fit (R 2 ~0.30) between genetic and PLD proxies of dispersal (using either IBD slope or global F ST ), with significant improvement for small-scale (< 650 km) studies (R 2 = 0.50), and important effects of marker type.Significant effects of number of individuals and number of populations sampled on the genetic metrics in our dataset suggest a common need for more robust sampling designs.These results synchronize previous studies on this topic and provide validation that PLD and genetic metrics typically reflect scales of dispersal, as intended, at least when sampling design is robust.

Spectral reflectance measurements of characterized (phase abundance, particle size) mixtures of olivine and orthopyroxene were utilized to define the correlations between spectral and albedo parameters of such assemblages and their mineralogical or textural properties. Thirty‐three different spectral parameters falling into three general classes (relative or ratioed, absolute or albedo, and wavelength) were investigated for empirical sensitivity to one or more of the mixture properties. Theoretical considerations and previous experimental observations were utilized to understand their functional relationships. The ratio of areas for the 1‐ and 2‐μm absorption bands is shown to be a sensitive indicator of the olivine‐orthopyroxene abundance and is very nearly independent of particle size and mineral composition. In conjunction with an abundance determination, the wavelength position of the 1‐μm absorption feature can be utilized to determine the molar iron contents of the olivine and orthopyroxene phases. This calibration is insensitive to particle size but will produce systematic deviations if the phases have significantly different iron contents or if more than a few percent of a clinopyroxene component is present. The spectral albedo in the 0.6‐ to 0.7‐μm region is relatively insensitive to phase abundance and can be used to constrain particle size if phase composition has been determined.

Mastery of grammatical gender is difficult to achieve in a second language (L2). This study investigates whether persistent difficulty with grammatical gender often observed in the speech of otherwise highly proficient L2 learners is best characterized as a production-specific performance problem, or as difficulty with the retrieval of gender information in real-time language use. In an experimental design that crossed production/comprehension and online/offline tasks, highly proficient L2 learners of Spanish performed at ceiling in offline comprehension, showed errors in elicited production, and exhibited weaker use of gender cues in online processing of familiar (though not novel) nouns than native speakers. These findings suggest that persistent difficulty with grammatical gender may not be limited to the realm of language production, but could affect both expressive and receptive use of language in real time. We propose that the observed differences in performance between native and non-native speakers lie at the level of lexical representation of grammatical gender and arise from fundamental differences in how infants and adults approach word learning.

1. Introduction to Teaching Strategies 2. Activate Prior Knowledge 3. Cultivate Vocabulary 4. Teach for Comprehension 5. Increase Reading Rate 6. Verify Strategies 7. Evaluate Progress 8. Build Motivation 9. Plan for Instruction and Select Appropriate Reading Materials 10. Conclusions

While there is a growing literature on “dark traits” (i.e., socially aversive traits), there has been a lack of integration with the burgeoning research literature on positive traits and fulfilling and growth-oriented outcomes in life. To help move the field toward greater integration, we contrasted the nomological network of the Dark Triad (a well-studied cluster of socially aversive traits) with the nomological network of the Light Triad, measured by the 12-item Light Triad Scale (LTS). The LTS is a first draft measure of a loving and beneficent orientation toward others (“everyday saints”) that consists of three facets: Kantianism (treating people as ends unto themselves), Humanism (valuing the dignity and worth of each individual), and Faith in Humanity (believing in the fundamental goodness of humans). Across four demographically diverse samples (N=1,518), the LTS demonstrated excellent reliability and validity, predicting life satisfaction and a wide range of growth-oriented and self-transcendent outcomes above and beyond existing measures of personality. In contrast, the Dark Triad was negatively associated with life satisfaction and growth-oriented outcomes, and showed stronger linkages to selfish, exploitative, aggressive, and socially aversive outcomes. This exploratory study of the contrasting nomological networks of the Light vs. Dark Triad provides several ways forward for more principled and data driven approaches to explore both the malevolent and beneficent sides of human nature.

Many Americans fail to get life-saving vaccines each year, and the availability of a vaccine for COVID-19 makes the challenge of encouraging vaccination more urgent than ever. We present a large field experiment ( N = 47,306) testing 19 nudges delivered to patients via text message and designed to boost adoption of the influenza vaccine. Our findings suggest that text messages sent prior to a primary care visit can boost vaccination rates by an average of 5%. Overall, interventions performed better when they were 1) framed as reminders to get flu shots that were already reserved for the patient and 2) congruent with the sort of communications patients expected to receive from their healthcare provider (i.e., not surprising, casual, or interactive). The best-performing intervention in our study reminded patients twice to get their flu shot at their upcoming doctor’s appointment and indicated it was reserved for them. This successful script could be used as a template for campaigns to encourage the adoption of life-saving vaccines, including against COVID-19.

Traditionally, contact-induced changes in languages have been classified into two broad categories: those due to ‘borrowing’ and those due to ‘interference’ by an L1 or other primary language on an L2 in the course of second language acquisition (SLA). Other terms used for ‘interference’ include ‘substratum influence’ and ‘transfer.’ Inconsistencies in the use of these terms pose a problem for the classification and analysis of the outcomes of contact-induced change. Moreover, labels like these, unfortunately, have been used to refer both to the outcomes of language contact and to the processes that lead to such results. This imprecision in the use of key terms poses serious problems for our understanding of what is actually involved in the two types of crosslinguistic influence. Moreover, it has led to inaccuracy in our assignment of changes to one or the other category. The aim of this paper is to reassess the conventional wisdom on the distinction between borrowing and ‘interference,’ and to clarify the vehicles of change as well as the outcomes characteristic of each. My approach is based on Van Coetsem's (1988) distinction between two transfer types – borrowing under RL agentivity, and imposition under SL agentivity, with their shared but differently implemented processes of imitation and adaptation. Crucially, this approach recognizes that the same agents may employ either kind of agentivity, and hence different transfer types, in the same contact situation. It is the failure to recognize this that has sometimes led to inaccuracy in accounts of the nature and origins of contact-induced changes, as well as to conflicting classifications of the outcomes of contact. The present paper proposes a more rigorous and consistent classification, based on the kinds of agentivity involved.

Foreign language learning contrasts with native language development in two key respects: It is unreliable and it is nonconvergent. At the same time, it is clear that foreign languages are languages. The fundamental difference hypothesis (FDH) was introduced as a way to account for the general characteristics of foreign language learning. The FDH was originally formulated in the context of the theory of rich Universal Grammar, and this theory has guided much foreign language acquisition research over the past two decades. However, advances in the understanding of language have undermined much of the supporting framework. The FDH—indeed all of SLA research—must be rethought in light of these advances. It is proposed here that (a) foreign language grammars make central use of patches, which are also seen as peripheral phenomena in native languages; (b) non-domain-specific processes are used in foreign language acquisition, but that these are also employed—although more effectively because they are integrated into the language system—by native language development; and (c) foreign language online processing relies heavily on the use of shallow parses, but these are also available in native language processing, although less crucially.

Abstract Here we show that the characteristics of the Indian Ocean Dipole (IOD), such as its power spectrum and phase relationship with the El Niño–Southern Oscillation (ENSO), can be succinctly explained by ENSO combination mode (C‐mode) wind and heat flux forcing together with a seasonal modulation of the air/sea coupled Indian Ocean (IO) Bjerknes feedback. This model explains the observed high‐frequency near‐annual IOD variability in terms of deterministic ENSO/annual cycle interactions. ENSO‐independent IOD events can be understood as a seasonally modulated ocean response to white noise atmospheric forcing. Under this new physical null hypothesis framework, IOD predictability is determined by both ENSO predictability and the ENSO signal‐to‐noise ratio. We further emphasize that lead/lag correlations between different climate variables are easily misinterpreted when not accounting properly for the seasonal modulation of the underlying climate phenomena.

Ecological impacts of industrial agriculture include significant greenhouse gas emissions, loss of biodiversity, widespread pollution by fertilizers and pesticides, soil loss and degradation, declining pollinators, and human health risks, among many others. A rapidly growing body of scientific research, however, suggests that farming systems designed and managed according to ecological principles can meet the food needs of society while addressing these pressing environmental and social issues. The promise of such systems implies an urgent need for increasing the scope and scale of this area of research – agroecology. Notably, agroecological systems have been shown to reduce input dependency and therefore related research is unlikely to be supported by the private sector. Yet, the amount of federal funding available for agroecology has remained unclear. To address this gap in knowledge, we identified projects beginning in 2014 from the USDA Current Research Information System (CRIS) database and searched key sections of project reports for major components emphasizing sustainable agriculture, including agroecology. Components were grouped into four levels according to their focus on: improving system efficiency to reduce the use of inputs (L1), substituting more sustainable inputs and practices into farming systems (L2), redesigning systems based on ecological principles (L3: agroecology), or reestablishing connections between producers and consumers to support a socio-ecological transformation of the food system (L4: social dimensions of agroecology). We identified 824 projects, which accounted for $294 million dollars: just over 10% of the entire 2014 USDA Research, Extension, and Economics (REE) budget. Using a highly conservative classification protocol, we found that the primary focus of many projects was unrelated to sustainable agriculture at any level, but the majority of projects had at least one relevant component (representing 52–69% of analyzed funds, depending on whether projects focused exclusively on increasing yields were included). Of the total $294 million of analyzed funds, 18–36% went to projects that included a L1 component. Projects including components in L2, L3, or L4 received just 24%, 15%, and 14% of analyzed funds, respectively. Systems-based projects that included both agroecological farming practices (L3) and support for socioeconomic sustainability (L4) were particularly poorly funded (4%), as were L3 projects that included complex rotations (3%), spatially diversified farms (3%), rotational or regenerative grazing (1%), integrated crop-livestock systems (1%), or agroforestry (<1%). We estimated that projects with an emphasis on agroecology, indicated by those with a minimum or overall level of L3, represented 5–10% of analyzed funds (equivalent to only 0.6–1.5% of the 2014 REE budget). Results indicate that increased funding is urgently needed for REE, especially for systems-based research in biologically diversified farming and ranching systems.

The authors of this Policy Forum examine a range of issues associated with salvage harvesting policies after major natural disturbances such as fire, windstorms, and volcanic eruptions. Although natural disturbances can have important benefits for ecosystems, salvage harvesting can have major negative impacts on ecosystem recovery, the persistence of elements of biota, and the maintenance of key ecological processes. Better informed policies are needed to guide where, when, how, and if salvage harvesting takes place.

A Social Network Approach to Understanding Student Integration and Persistence Introduction Astin's (1993, P. 398) claim that peers are single most potent source of influence in the lives of college students comes after decades of theoretical and empirical research examining the integrative nature of student experiences on the college campus. Review of the classic work of Newcomb (1943, 1962) and Newcomb and Wilson (1966), or the more contemporary observations of Horowitz (1987) or Moffatt (1989) demonstrates why student peer culture plays such a central contextual role in the understanding of a variety of college outcomes (e.g., Antrobus, Dobbelaer, & Salzinger, 1988; Chickering, 1974; Husband, 1976; Nora & Rendon, 1990; Stage, 1989; Terenzini & Pascarella, 1977). One outcome theorized to be dramatically affected by student peer culture is persistence. Much of the student persistence literature places great emphasis on student integration into campus subcultures (Spady, 1971; Tinto, 1993). Two major comprehensive conceptual models of student persistence have emerged from the various theoretical perspectives on this phenomenon, Bean's Student Attrition Model (1980, 1982, 1983, 1990) and Tinto's Student Integration Model (1975, 1987, 1993). Although Tinto's integration model places a greater emphasis on the role of within-institution peer culture than Bean's organizational model, which emphasizes the role that external forces play in the persistence process, considerable overlap exists between the two, especially in terms of the role of organizational factors and commitment to the institution (Cabrera, Casteneda, Nora, & Hengstler, 1992). In both models, student commitment to the institution is theorized to be affected by peers' attitudes and pressures. Bean theorizes that among other potential modifiers, the encouragement of close friends may enhance a sense of commitment to the institution (institutional fit and quality). Tinto postulates a similar relationship, namely that the higher the level of social integration the greater will be the commitment to the institution. As integration is the central feature of the Tinto model it has therefore been carefully elaborated both conceptually and empirically. This should not discount the theoretical role of social structure in Bean's model, for friendships, or social ties, are presumed to impact the extent of students' shared group values, support structure, and affinity for the institution in both models--simply in different ways. As many have pointed out, the operational measurement of the manifold dimensions of peer culture is often elusive. Adequate measurement of the effects of these important influences requires knowledge of students' individual group identifications as well as their desires for group affiliation, membership, and, ultimately, acceptance (Astin, 1993; Kuh, 1995; Newcomb, 1943, 1962; Newcomb & Wilson, 1966). The purpose of this study is to begin to explore such subcultural effects by assessing the role of student social structure in the persistence process. Specifically, I explore the effects of social integration from a social network perspective: a perspective that enables determination of subgroup membership and of the characteristics of relationships to and within those subgroups. My concern in this article is to take a first step toward a more appropriate empirical elaboration of the integration constructs central to these models. Accordingly, this study is exploratory in nature and is designed to examine the effects of structural integration on factors theorized to be central in the persistence process. Of the two major theories of student persistence, Tinto's Student Integration Model (1993) will be used as the framework for the development of a method that will enable the specification of a model incorporating a number of social network characteristics. Although similarities exist between Bean's and Tinto's theories, especially in terms of the posited relationships between integration and persistence, the Tinto model was chosen as a framework due to its particular theoretical underpinning and the large volume of work explicating is theory. …

Pragmatics has two roles in SLA: It acts as a constraint on linguistic forms and their acquisition, and it represents a type of communicative knowledge and object of L2 learning in its own right. The first role of pragmatics is evident in functionalist (Tomlin 1990) and interactionist (Long 1996) views of SLA. The second role puts pragmatics on a par with morphosyntax, lexis, and phonology in that inquiry focuses on learners' knowledge, use, and acquisition of L2 pragmatics. It is the latter sense of “pragmatics and SLA” that is the focus of this paper. In analogy with other areas of specialization within SLA—interlanguage syntax, interlanguage lexis, and so forth—the study of nonnative speakers' use and acquisition of L2 pragmatic knowledge is referred to as interlanguage pragmatics.

Abstract Though urban agriculture (UA), defined here as growing of crops in cities, is increasing in popularity and importance globally, little is known about the aggregate benefits of such natural capital in built‐up areas. Here, we introduce a quantitative framework to assess global aggregate ecosystem services from existing vegetation in cities and an intensive UA adoption scenario based on data‐driven estimates of urban morphology and vacant land. We analyzed global population, urban, meteorological, terrain, and Food and Agriculture Organization (FAO) datasets in Google Earth Engine to derive global scale estimates, aggregated by country, of services provided by UA. We estimate the value of four ecosystem services provided by existing vegetation in urban areas to be on the order of $33 billion annually. We project potential annual food production of 100–180 million tonnes, energy savings ranging from 14 to 15 billion kilowatt hours, nitrogen sequestration between 100,000 and 170,000 tonnes, and avoided storm water runoff between 45 and 57 billion cubic meters annually. In addition, we estimate that food production, nitrogen fixation, energy savings, pollination, climate regulation, soil formation and biological control of pests could be worth as much as $80–160 billion annually in a scenario of intense UA implementation. Our results demonstrate significant country‐to‐country variability in UA‐derived ecosystem services and reduction of food insecurity. These estimates represent the first effort to consistently quantify these incentives globally, and highlight the relative spatial importance of built environments to act as change agents that alleviate mounting concerns associated with global environmental change and unsustainable development.

The purpose of this study was to determine whether or not “self‐construals” (Markus & Kitayama, 1991) are an aspect of culture that accounts for the perceived importance of conversational constraints. To spell out the way in which culture influences communication styles, we developed a mediation model. The model assumes that the perceived importance of conversational constraints is determined by values, e.g., independent versus interdependent self‐construals, and that values (self‐construals) are determined in part by culture. Participants were 972 undergraduates studying in Korea, Japan, Hawai'i, and the mainland United States. After being presented with six situations, participants rated the perceived importance of each of three constraints in relation to each situation. They then completed a scale reflecting the independent and interdependent dimensions of their self‐construals. The results were consistent with the proposed mediation model. Culture‐level individualism influenced independent self‐construals, which, in turn, correlated positively with the two outcome‐oriented conversational constraints. The study also showed that culture‐level collectivism affects interdependent self‐construals, and, in turn, correlated positively with the three relational constraints. Of the various self‐construal patterns, individuals simultaneously maintaining high independent and high interdependent construals ("biculturals") had the highest totals for the importance ratings of all the constraints combined, even though the mean for biculturals did not significantly differ from the mean for interdependents (tow independent and high interdependent self‐construals).