1,720,959 research outputs found
Bridging the Gap between ESOL and Native English Speakers in a Digital Collaborative Classroom
The purpose of this dissertation in practice was to explore how to bridge the gap between ESOL students and native English speaking students in a collaborative learning environment in a middle school in Tangerine Florida. The gap in performance was highlighted because ESOL students failed to meet the same levels of academic achievement (based on the Florida Standard Assessment Test) as their native English-speaking counter parts. The intent of the dissertation was to design a framework that would meet the pedagogical needs of ESOL students and teachers who teach them. A pilot study was completed that included teachers both ESOL-endorsed and those who were not to determine their needs in terms of professional development that would lead to increased achievement among ESOL students. The study focused on digital schools within one school district. A qualitative research approach was used because it was found to be rigorous, reliable and valid (Morse, Barrett, Mayan, Olson & Spiers (2002). Results of the pilot study were intended to inform teachers and school administrators about how to ultimately improve ESOL student performance. The data used in the pilot study were drawn from focus groups as well as information retrieved from reflective teacher and student tools. The conceptual framework that focused the pilot study included socio-cultural theory (Vygotsky, 1986; Mercer, 2007), self-efficacy theory (Bandura, 1997a; Pajares, 1997) culturally responsive teaching theory (Ladson-Billings, 2006; Freire 2000), situated learning theory (Davin & Heineke, 2016) and second language acquisition theories (Chomsky, 1965; Ellis, 1997). The findings from the teacher focus groups suggested ways to bridge the gap between the ESOL students and native English speakers. A proposed framework to counter the problem and bridge the gap was designed as a pedagogical intervention (professional development) that would provide the information teachers lack about how to teach ESOL students effectively. The framework also served as a platform to connect and collaborate with other ESOL instructors as a resource and support throughout the school year. Additionally, a teacher-proposed idea was a middle school technology transition (MST2) beginner course for students entering a digital school to give them practice and build their self-efficacy on how to use the necessary applications for each core (FSA tested) class. The results also support the idea that concurrent ongoing professional development and a student introductory technology course throughout the school year could produce more favorable achievement scores of ESOL students, and reduce gaps between ESOL students and native English speaking students
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Introduction: Opportunities for mentor transformation - The re-narration of effective mentorship for educational leaders in academia
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Centering English Language Learners’ Literacy Through the Use of AI-powered Tools to Enhance Teacher and Student Success
There has been an increase in the number of English Language Learners (ELs) and, therefore, an increase in the number of linguistic diversities in the general classroom nationwide (Clark-Gareca et al., 2020; Cullen, 2015). Technology has been utilized to promote and support English Learners\u27 success as it can be a significant tool for scaffolding and differentiating instruction (Abobaker & Moleta, 2025; Wolf et al., 2016). Artificial Intelligence (AI), to be specific, has emerged as transformative when supporting ELs across K-20 academic spaces, especially with the increasing demand to integrate technology into learning. AI creates pathways to effectively support the needs of diverse learners and educators by creating accessible tools for instruction, assessments, reflection, engagement, and overall enhanced academic skills. These tools can address, and target literacy challenges EL students face. This paper is a response to how to pragmatically utilize technology to aid EL students with literacy development in today\u27s ever-evolving classroom. We explore practical strategies for leveraging AI to enhance EL students\u27 literacy interaction as they matriculate through K-20 learning spaces. By adopting the AI-informed strategies we share, we hope to empower educators to support their English Learners to succeed academically and professionally in an increasingly technology-driven era
Best Practices and Programmatic Approaches for Mentoring Educational Leaders
In today\u27s educational world, supporting graduate students from all backgrounds and ensuring they receive the best education possible is vital. Due to this, academic mentors and graduate student mentoring programs must provide equitable support within learning environments as a construct of social justice for supporting the success of advanced, underrepresented student learners. Best Practices and Programmatic Approaches for Mentoring Educational Leaders discusses empowered perspectives about conceptual and best practice approaches regarding mentoring and supporting doctoral students\u27 success and considers the area of diversity and inclusion in higher education related to best practices in programming. Covering topics such as educational leadership, higher education, mentoring networks, and communities, this reference work is ideal for industry professionals, administrators, policymakers, researchers, academicians, scholars, practitioners, instructors, and students
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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