An effective and efficient results merging strategy for multilingual information retrieval in federated search environments

Multilingual information retrieval is generally understood to mean the retrieval of relevant information in multiple target languages in response to a user query in a single source language. In a multilingual federated search environment, different information sources contain documents in different languages. A general search strategy in multilingual federated search environments is to translate the user query to each language of the information sources and run a monolingual search in each information source. It is then necessary to obtain a single ranked document list by merging the individual ranked lists from the information sources that are in different languages. This is known as the results merging problem for multilingual information retrieval. Previous research has shown that the simple approach of normalizing source-specific document scores is not effective. On the other side, a more effective merging method was proposed to download and translate all retrieved documents into the source language and generate the final ranked list by running a monolingual search in the search client. The latter method is more effective but is associated with a large amount of online communication and computation costs. This paper proposes an effective and efficient approach for the results merging task of multilingual ranked lists. Particularly, it downloads only a small number of documents from the individual ranked lists of each user query to calculate comparable document scores by utilizing both the query-based translation method and the document-based translation method. Then, query-specific and source-specific transformation models can be trained for individual ranked lists by using the information of these downloaded documents. These transformation models are used to estimate comparable document scores for all retrieved documents and thus the documents can be sorted into a final ranked list. This merging approach is efficient as only a subset of the retrieved documents are downloaded and translated online. Furthermore, an extensive set of experiments on the Cross-Language Evaluation Forum (CLEF) () data has demonstrated the effectiveness of the query-specific and source-specific results merging algorithm against other alternatives. The new research in this paper proposes different variants of the query-specific and source-specific results merging algorithm with different transformation models. This paper also provides thorough experimental results as well as detailed analysis. All of the work substantially extends the preliminary research in (Si and Callan, in: Peters (ed.) Results of the cross-language evaluation forum-CLEF 2005, 2005).

Cataloging Digitized Continuing Resources in a Shared Record Environment

ABSTRACT

Cataloging digitized continuing resources is a challenging task for many libraries because of their complex cataloging rules and characteristics of format. As libraries provide their digitized content and catalog records in shared environments, like HathiTrust, and use them as an access point, libraries also have to work with holdings and item records created by each contributing institution's local practice. This article discusses common challenges imposed on libraries when creating and providing access to digitized continuing resources available in a shared environment, stresses the importance of having shareable holdings and items records, and suggests possible ways to work with those challenges.     

Using Least-to-Most Assistive Prompt Hierarchy to Increase Child Compliance with Teacher Directives in Preschool Classrooms

Prompt strategies have been used to increase the compliance of preschool-aged children to teacher directives. This paper describes two experiments conducted to determine if classroom teachers could learn to use the LtM prompt hierarchy and if child compliance would increase in response to teacher behavior. This study builds on the current literature base by using prompting, specifically LtM with the additional requirement of teacher-child proximity and teacher-child eye level prior to beginning the prompt sequence, which is consistent with recommended practice in early childhood (Copple and Bredekamp, Developmentally appropriate practice in early childhood programs (revised edition), National Association for the Education of Young Children, Washington, DC, 2009). The participants consisted of 6 preschool teachers, with varying levels of education and experience, across 2 different early childhood classrooms. Teacher prompts and children's completion of teacher directives were measured during free choice center time. Results were consistent with previous research in that compliance to teacher directives increased in preschool children with the implementation of the LtM.     

Student engagement with feedback and attainment: the role of academic self-efficacy

Abstract

Academic self-efficacy, the belief that one can achieve desired academic goals plays an important role in learning. This study aimed to determine the extent to which academic self-efficacy mediates relationships between students’ perceptions of feedback and their academic attainment. An opportunity sample of 232 students (123 female) in their first year of higher education reported their academic self-efficacy and evaluated their assessment experience, including the perceived quantity and quality of feedback and the extent to which this feedback elicited an active response. Positive associations were observed between academic attainment and students’ confidence that they could achieve their desired grades and adopt appropriate study behaviours. A negative association was identified between attainment and confidence to talk about their studies. Attainment was not related to the perceived quantity or quality of feedback, but did bear a significant association with the reported use to which feedback was put. Positive associations were generally identified between academic self-efficacy and perceptions of feedback. Path models revealed that inter-relationships were best represented by a model wherein academic self-efficacy mediated links between students’ perceptions of feedback and academic attainment. The findings highlight the need to incorporate characteristics of the individual into an understanding of student engagement with feedback.     

Mazes and Maps: Can Young Children Find Their Way?

Games provide important informal learning activities for young children, and spatial game play (e.g., puzzles and blocks) has been found to relate to the development of spatial skills. This study investigates 4‐ and 5‐year‐old children's use of scaled and unscaled maps when solving mazes, asking whether an important aspect of spatial learning—the ability to use scaled representations—is related to children's play with scaled maps. Results show that almost all children used the maps to solve the mazes at least occasionally, and use them consistently across maze difficulty and different types of maps. Map use and more accurate spatial scaling were associated with better maze performance. We suggest that maze activities including scaled maps might provide an opportunity for developing children's spatial scaling through play, and discuss future research directions.     

The association between and development of school enjoyment and general knowledge

Learning environments can support the development of foundational knowledge and promote children's attitudes toward learning and school. This study explores the relation between school enjoyment and general knowledge from preschool (2016–2017) to kindergarten (2017–2018) in 1359 children (M_age = 55, 61 months, female = 50%; 58.5% Hispanic, 17% Black, 10% Asian, 10% White, 5% multiracial/other; linguistically diverse). Cross-lagged panel models showed significant bidirectional associations between preschool enjoyment and change in general knowledge from preschool to kindergarten with a standardized coefficient of β = .21 (p < .001) and associations between preschool general knowledge and change in enjoyment, β = .09 (p = .015). Exploratory analyses with teacher characteristics and demographic subgroup comparisons are discussed. These associations suggest the potential intervention strategy of promoting early school enjoyment to support broader academic development.     

Asynchronous Online Instruction Leads to Learning Gaps When Compared to a Flipped Classroom

With the gradual shift to online education models that has taken place in recent decades, research has sought to understand the nuances of student performance in an online model in comparison to more traditional in-person modalities. However, the effects of instructional modality have been difficult to determine given the many variables that exist in course design between these methods. In this study, we attempt to determine the efficacy of asynchronous online instruction by comparing two nearly equivalent courses. The first course was a flipped classroom, a recent and well-studied hybrid model of instruction. The second was an asynchronous fully online course that contained all the same instructional elements as the in-person course but lacked any student or instructor interaction. Student performance was tracked at both a highly-selective private institution and an open-enrollment public institution. Results show that students’ performance drops in an asynchronous online course compared to an equivalent in-person experience. Several potential hypotheses are put forth to explain a change in performance that can potentially shape the design of online instruction.

     

Evaluating the predictability of distance race performance in NCAA cross country and track and field from high school race times in the United States

Successful recruiting for collegiate track & field athletes has become a more competitive and essential component of coaching. This study aims to determine the relationship between race performances of distance runners at the United States high school and National Collegiate Athletic Association (NCAA) levels. Conditional inference classification tree models were built and analysed to predict the probability that runners would qualify for the NCAA Division I National Cross Country Meet and/or the East or West NCAA Division I Outdoor Track & Field Preliminary Round based on their high school race times in the 800 m, 1600 m, and 3200 m. Prediction accuracies of the classification trees ranged from 60.0 to 76.6 percent. The models produced the most reliable estimates for predicting qualifiers in cross country, the 1500 m, and the 800 m for females and cross country, the 5000 m, and the 800 m for males. NCAA track & field coaches can use the results from this study as a guideline for recruiting decisions. Additionally, future studies can apply the methodological foundations of this research to predicting race performances set at different metrics, such as national meets in other countries or Olympic qualifications, from previous race data.     

Mindset × Context: Schools,Classrooms, and the Unequal Translation of Expectations into Math Achievement

When do adolescents' dreams of promising journeys through high school translate into academic success? This monograph reports the results of a collaborative effort among sociologists and psychologists to systematically examine the role of schools and classrooms in disrupting or facilitating the link between adolescents' expectations for success in math and their subsequent progress in the early high school math curriculum. Our primary focus was on gendered patterns of socioeconomic inequality in math and how they are tethered to the school's peer culture and to students' perceptions of gender stereotyping in the classroom. To do this, this monograph advances Mindset × Context Theory. This orients research on educational equity to the reciprocal influence between students' psychological motivations and their school-based opportunities to enact those motivations. Mindset × Context Theory predicts that a student's mindset will be more strongly linked to developmental outcomes among groups of students who are at risk for poor outcomes, but only in a school or classroom context where there is sufficient need and support for the mindset. Our application of this theory centers on expectations for success in high school math as a foundational belief for students' math progress early in high school. We examine how this mindset varies across interpersonal and cultural dynamics in schools and classrooms. Following this perspective, we ask:

• 1. Which gender and socioeconomic identity groups showed the weakest or strongest links between expectations for success in math and progress through the math curriculum?
• 2. How did the school's peer culture shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?
• 3. How did perceptions of classroom gender stereotyping shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?

We used nationally representative data from about 10,000 U.S. public school 9th graders in the National Study of Learning Mindsets (NSLM) collected in 2015–2016—the most recent, national, longitudinal study of adolescents' mindsets in U.S. public schools. The sample was representative with respect to a large number of observable characteristics, such as gender, race, ethnicity, English Language Learners (ELLs), free or reduced price lunch, poverty, food stamps, neighborhood income and labor market participation, and school curricular opportunities. This allowed for generalization to the U.S. public school population and for the systematic investigation of school- and classroom-level contextual factors. The NSLM's complete sampling of students within schools also allowed for a comparison of students from different gender and socioeconomic groups with the same expectations in the same educational contexts. To analyze these data, we used the Bayesian Causal Forest (BCF) algorithm, a best-in-class machine-learning method for discovering complex, replicable interaction effects. Chapter IV examined the interplay of expectations, gender, and socioeconomic status (SES; operationalized with maternal educational attainment). Adolescents' expectations for success in math were meaningful predictors of their early math progress, even when controlling for other psychological factors, prior achievement in math, and racial and ethnic identities. Boys from low-SES families were the most vulnerable identity group. They were over three times more likely to not make adequate progress in math from 9th to 10th grade relative to girls from high-SES families. Boys from low-SES families also benefited the most from their expectations for success in math. Overall, these results were consistent with Mindset × Context Theory's predictions. Chapters V and VI examined the moderating role of school-level and classroom-level factors in the patterns reported in Chapter IV. Expectations were least predictive of math progress in the highest-achieving schools and schools with the most academically oriented peer norms, that is, schools with the most formal and informal resources. School resources appeared to compensate for lower levels of expectations. Conversely, expectations most strongly predicted math progress in the low/medium-achieving schools with less academically oriented peers, especially for boys from low-SES families. This chapter aligns with aspects of Mindset × Context Theory. A context that was not already optimally supporting student success was where outcomes for vulnerable students depended the most on student expectations. Finally, perceptions of classroom stereotyping mattered. Perceptions of gender stereotyping predicted less progress in math, but expectations for success in math more strongly predicted progress in classrooms with high perceived stereotyping. Gender stereotyping interactions emerged for all sociodemographic groups except for boys from high-SES families. The findings across these three analytical chapters demonstrate the value of integrating psychological and sociological perspectives to capture multiple levels of schooling. It also drew on the contextual variability afforded by representative sampling and explored the interplay of lab-tested psychological processes (expectations) with field-developed levers of policy intervention (school contexts). This monograph also leverages developmental and ecological insights to identify which groups of students might profit from different efforts to improve educational equity, such as interventions to increase expectations for success in math, or school programs that improve the school or classroom cultures.     

Children can represent complex social status hierarchies: Evidence from Indonesia

Children's ethnicity-status associations are often studied in societies where one ethnic group possesses status across multiple dimensions, such as political influence and wealth. This study examined children's (6–12 years) and adults' representations of more complex hierarchies in Indonesia (N = 341; 38% Native Indonesian, 33% Chinese Indonesian, and 27% other ethnicities; 55% female, 36% male; 2021–2022), a society where ethnic groups hold distinct forms of status (on average, Native Indonesians have political influence; Chinese Indonesians have wealth). By 6.5 years, children associated Native Indonesians with political influence and Chinese Indonesians with wealth. Intersectional analyses indicated that ethnicity-status associations were stronger for male than female targets. Children of all ethnicities preferred Chinese Indonesians and preferences were predicted by wealth judgments.