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Comparing Social Media Platforms for Recruiting Special Education Teachers in a High-Need Area

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TL;DR

This pilot study evaluated social media geofencing strategies to recruit special education teachers in high-need areas, analyzing click and conversion metrics across three targeted groups, and found limited but insightful implications for enhancing recruitment efforts and diversifying candidate pools.

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New pathways are needed to recruit high-quality special education graduates to meet the urgent teacher shortage. As a result, the researchers were awarded a grant from the CEEDAR Technical Assistance Center at the University of Florida to conduct a pilot study on special education teacher recruitment. The pilot study examined the correlation of geofencing social media targeting with applications received for a Master of Arts in Teaching (MAT) program in the Southeastern U.S. Three groups were targeted (a) likely to have a bachelor’s degree, (b) likely to be associated with a targeted postal code, or (c) teacher candidates with a high likelihood of staying in a target area. Measured through readily available social media data reporting (e.g., clicks, click-throughs, and other conversion metrics), data were examined for one recruitment year and correlations with increased program applications. Limited implications for recruitment, ongoing marketing, and diversifying recruitment pools are discussed.

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PROTOCOL: The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs
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The term children with special educational needs (SEN) refers to highly diverse populations of children with a wide range of physical, cognitive and socioemotional disabilities or difficulties as well as strengths and resources causing them to require varying degrees of special educational support and assistance (Squires, 2012; Vehmas, 2010; Wilson, 2002). Several studies document significant gender imbalances in the number of students who receive special educational support, and for most disability categories the prevalence is higher for boys (Skårbrevik, 2002). The reasons for these imbalances are likely complex, and it is beyond the scope of the present review to account for the hypotheses and findings associated with each disability category. However, a general hypothesis across different categories of special educational needs is the notion that special educational needs are more likely to remain undetected in girls as symptoms and problems in girls may be less visible to educators (Arms et al., 2008). Traditional special education consists of segregating students with special needs from mainstream students within separate and typically smaller classrooms or educational settings. However, as early as in the 1930s, a movement originally known as mainstreaming, and in more recent years as inclusion, has sought to bring an end to segregated placement as the preferred educational option for students with special needs (Carlberg & Kavale, 1980). In 1994, the idea of inclusive education became even more consolidated when the Salamanca Statement was adopted by representatives from 92 countries, resulting in an international shift in policy. This meant that far more students with special needs started entering general educational settings around the globe (Murawski & Lee Swanson, 2001; Ruijs & Peetsma, 2009). The terms inclusion, mainstreaming, integrated placement, and cross-categorical instruction all refer to educational settings with a group composition consisting of a mixture of students with and without special educational needs. In the present review, we have chosen to use the term inclusion to refer to general educational settings in which there is a mixture of students with and without special educational needs. Ideally, inclusion and inclusive education should be based on an educational approach in which the goal is to continuously address and respond to the diversity of needs of all learners through increasing participation and reducing exclusion within and from education. Inclusion thus may involve changes and modifications in content, approaches, structures and strategies, with a common vision which covers all children and a conviction that it is the responsibility of the regular system to educate all children. Inclusion emphasises the provision of opportunities for equal participation of children with disabilities (physical, social and/or emotional) whenever possible into general education, but leaves open the possibility of personal choice and options for special assistance and facilities for those who need it (UNESCO, 2005). Inclusion as an ideological and theoretical movement was built on a philosophical foundation but during the last 60 years, the number of empirical studies addressing inclusive education has grown tremendously. However, findings on the efficacy of inclusion on student outcomes are still far from unequivocal (Kavale & Forness, 2000; Lindsay, 2007; Ruijs & Peetsma, 2009). This is where the present review will contribute, as the aim of the review is to summarise contemporary evidence on the effects of inclusive education when compared to a traditional segregated approach on students' learning, socioemotional adjustment and well-being. It is important to consider the types of students who might benefit most from inclusive education. As stated earlier, it is possible that the effects of inclusive education may be different for girls and boys. Further, a child's cognitive and socioemotional skills and needs develop throughout childhood and adolescence (Lightfoot et al., 2009) and thus, it is possible that the potential benefits of inclusive education may vary depending on the age of the children. We plan to to explore the impact of these student characteristics on student outcomes. At the core of inclusion is the principle that students with special or additional learning needs or disabilities belong in mainstream education. The fundamental principle of inclusive education is that all children should learn together, regardless of any difficulties or differences (UNESCO, 2005; Winter & O'Raw, 2010). However, operationally within the present review, we define inclusion as an educational setting with a mixture of children with and without special educational needs. In the present review, the intervention termed inclusion may thus be defined as any given group composition within a general educational setting which contains at least one child with an identified special educational need. Based on the core principles of inclusion there are many ways in which inclusion may be practised and adjusted, and thus there are a large number of characteristics within the inclusive setting, which may vary across the included studies. We will review studies of all kinds of inclusive education meaning that placement in the inclusive setting may be full time or part time. Special education students are a diverse group, as outlined in Section 4.1.2, and we will review studies regardless of the type of special educational needs of the student population and regardless of the ratio of students with and without special needs within the inclusive setting. We will include studies in which the general education teachers are provided with support and continuing professional development aimed at helping the teachers accommodate the needs of special education students and studies of inclusive settings in which no such support is offered to the teachers. It is often referred to as coteaching when two or more professionals deliver substantive instruction to a diverse or blended group of students within the same physical space (Murawski & Lee Swanson, 2001). In the present review, we will include studies, in which special education teachers and/or teaching assistants are present within the general education setting (coteaching) and studies in which they are not. For physically disabled students there may be adjustments made to the inclusive educational setting in order to accommodate aids such as wheelchairs, and for dyslexic students a number of computer programmes may be available. We will review studies in which students with special needs are provided with any kind of aid and technological support. This list of possible variations in student and classroom characteristics is not exhaustive, and in summary, within the present review we will include studies of all kinds of inclusive education as long as the studies are aimed at exploring the effects of inclusion in comparison to segregated special educational settings. We plan to conduct moderator analyses to explore the impact of specific characteristics of the inclusive educational setting and the characteristics of special educational needs on student outcomes. Considering the rapid global development towards inclusive educational placement for students with special educational needs, there is a rather surprising lack of pedagogical, psychological, or didactic theories regarding the specific ways in which inclusive education may affect students with special needs' academic and socioemotional development. Group composition within the educational setting may play a significant role in determining the academic achievement, socioemotional development and overall wellbeing of special needs students. Theoretically and ideologically, scholars favouring mainstreaming or inclusion propose that segregated educational placement causes stigmatisation and social isolation which may have detrimental effects on the self-concept, social identity, and self-confidence of students with special educational needs (Dyssegaard & Larsen, 2013). Second, being placed in a general education classroom along with typically developing peers is proposed to benefit special needs students' academic growth through peer effects (Rea et al., 2002; Tremblay, 2013). Finally, it is hypothesised that social interaction with general education peers may provide developmental opportunities that are not present in smaller, specialised units (Fisher & Meyer, 2002). On the other hand, opponents of inclusive education for all special needs students suggest that placement in general education classrooms may have adverse effects for special needs children especially if the time and resources allocated for individualisation and differentiation are not aligned with student needs. In such cases, special needs students' learning opportunities and wellbeing may also suffer, resulting in damages to self-concept (Zeleke, 2004), social isolation or bullying (Monchy et al., 2004; Pijl et al., 2010), stress (Pitt & Curtin, 2004), negative self-perception, and lower self-confidence (Bakker et al., 2007; Ruijs & Peetsma, 2009). Hegarty (1993) provides a narrative review of the literature on inclusion and suggests that a number of factors are associated with positive student outcomes in inclusive settings. These are: (1) instruction based on student achievement needs, (2) materials and procedures that allow students to proceed at their own pace, (3) additional time for students who need it, (4) increased student responsibility for their own learning, (5) cooperation among students in achieving goals, (6) support teaching and (7) collaboration among special and general education teachers. In sum, the impact of inclusion on the academic achievement, socioemotional development, and wellbeing of students with special needs may be hypothesised to be both positive and negative, and the current knowledge base is rather unclear, leaving special educators and policymakers uncertain when making decisions on special education provision. Since the 1980s, a number of reviews on the impact of inclusion on students with special needs have been published (Madden & Slavin, 1983; Ottenbacher & Cooper, 1982; Wang & Baker, 1985; Hegarty, 1993). Results are equivocal, and several reviews point to a number of methodological challenges and weaknesses of the study designs within the included primary studies. In summary, most reviews suggest a neutral or small positive impact of inclusion on most outcomes. However, all reviews also point to the need to study the impact of potential moderators more thoroughly, as there may be several interaction effects between student and classroom characteristics, such as student disability category × proportion of students with disabilities within the classroom and disability category × presence of teaching assistants. Therefore, it is important to conduct the present review in order to explore the impact of potential moderators associated with student and classroom characteristics. In the following section we present the existing reviews and their main findings. In a systematic review and meta-analysis, which included 50 primary studies exploring the effects of special versus regular class placement for children with special needs, Carlberg and Kavale (1980) concluded that for students with special needs consisting of below average IQs, special classes were significantly inferior to regular classes on all outcome measures (separate analyses were carried out for achievement, social/personal and other measures). However, for students with behavioural disorders, emotional disturbances and learning disabilities (LDs), special classes were superior to regular classes. Madden and Slavin (1983) conducted a narrative review of the effects of mainstreaming/inclusion on students with mild academic disabilities. The review does not include a description of the search strategy for identifying records or the criteria used to determine eligibility for inclusion in the review. The review concludes that among methodologically adequate studies, findings indicate few benefits on academic and social outcomes of placement in full-time special education compared with part-time placement with resource support or full time regular class placement for students with mild academic disabilities. Ottenbacher and Cooper (1982) conducted a systematic review and meta-analysis, which included 43 primary studies exploring the effects of class placement (special class, regular class and resource class defined as placement in regular education classroom with resource support and the possibility for part time segregated education) on the social adjustment of students with mild cognitive disabilities. The overall results suggest a very small effect in favour of special class placement over regular class placement. However, when special class placement was compared with resource class placement, results were insignificant but favouring resource class placement. Wang and Baker (1985) conducted a systematic review and meta-analysis, which included 11 primary studies exploring the effects of mainstreaming/inclusion on children with special educational needs. In order to be eligible for inclusion in this review, primary studies needed to provide information on the effects of mainstreaming on students with special needs placed in a regular education setting. The studies had to use a control group consisting of special needs students with comparable impairment classifications placed in a segregated learning environment. The final selection of studies included 11 studies published between 1975 and 1984. The included studies used a wide variety of outcomes, but within the meta-analysis, outcomes were synthesised into three categories: performance, attitudinal, and process effects, and separate analyses were carried out for each of the three outcome categories. The study found small-to-moderate beneficial effects of inclusion on all outcomes with an overall mean weighted effect size across all studies and all three categories of outcomes of 0.33. Hegarty (1993) provides a narrative review of the literature on integration (inclusion) of students with different disabilities. The narrative review is based on a literature review which was commissioned by the Centre for Educational Research and Innovation under the Organisation for Economic Cooperation and Development (OECD) and was conducted by researchers in five different countries. The review does not include a description of the search strategies for identifying records or the criteria used to determine eligibility for the selected primary studies. Within the review, a number of factors which are associated with effective integration programmes are identified. Baker et al. (1994/1995) describe a review and meta-analysis by Baker et al. (1994/1995), which included 13 primary studies exploring the effects of inclusive placement on academic and social outcomes for students with special needs. We have been unable to retrieve the original publication, but according to Baker et al. (1994/1995), this study found a very small effect in favour of inclusive placement on academic outcomes (0.08) and a small to moderate effect on social outcomes (0.28). Sebba and Sachdev (1997) provide a review as part of a research report on what works for whom in inclusive education. The review does not include a description of the search strategy or the criteria for inclusion/exclusion of studies for the review. Within the research report, the authors suggest an overall positive impact of inclusive education and list a number of potential moderators such as attitudes of teachers and parents as well as a number of recommendations for the implementation of inclusive education. McGregor and Vogelsberg (1998) provide a narrative review of studies of both the effects of inclusive schooling on student outcomes and studies focusing on issues related to the implementation of inclusion. The review includes both quantitative and qualitative studies including case studies. Results are difficult to synthesise, but suggest an overall positive impact of inclusion based on the main findings: (1) students with disabilities demonstrate high levels of social interaction in settings with typically developing peers, but placement alone does not guarantee positive social outcomes; (2) interactive small group contexts facilitate skill acquisition and social acceptance; (3) friendships develop between students with disabilities and typically developing peers. Freeman and Alkin (2000) conducted a systematic narrative review in which it was concluded that on measures of academic achievement and social competence, children with mental retardation placed in general education perform better than children with mental retardation placed in special education classrooms. This review was only about children with mental retardation and did not include meta-analyses. Murawski and Lee Swanson (2001) conducted a systematic review and meta-analysis which included 6 studies exploring the effectiveness of coteaching on student outcomes of both general education students and students with special educational needs. Coteaching was defined as two or more professionals delivering substantive instruction to a diverse or blended group of students within a shared/common physical space, and thus in this review coteaching is a form of inclusion. The outcomes within the included studies were grades, achievement scores, social and attitudinal outcomes. The review found coteaching to be effective (average total effect size of 0.40). It is unclear what the control conditions within the included studies were and two of the included studies did not have a control group, but used a pre-test/post-test research design. Lindsay (2007) provides a narrative review of the effectiveness of inclusive education for students with special educational needs. The review provides a historical overview of the vast literature prior to 2000 and a search of studies published 2001–2005 in eight journals on special education. The search identified 1373 studies and points to the fact that only 1% of the identified papers were comparative outcome studies. The review concludes that there is a lack of evidence for the effectiveness of inclusion and argues that where evidence does exist, the balance is only marginally positive. Lindsay (2007) thus supports the need for an updated systematic review and meta-analysis on the effectiveness of inclusion for students with special needs, with special attention to the potential impact of student and classroom moderators. In a systematic narrative review of the effects of inclusion on both learning and socioemotional outcomes of students with and without special needs, Ruijs and Peetsma (2009) point to mixed findings regarding the effects of inclusion on student outcomes and suggest a number of potential moderators. The authors conclude that there is a need for more research. This review has not been updated since publication and does not include meta-analyses. In 2009, a systematic review of evidence comparing the academic performance of students with special needs in different educational settings was carried out by the Canadian Council on Learning. The review included 30 primary studies. The search strategy for identifying studies was not described. The included studies examined students with LDs, intellectual disabilities, language impairments and mixed disabilities. The quality of each study was rated as either "high", "medium", or "low" based on criteria related to transparency and research design, and effect sizes were retrieved. No meta-analyses were carried out, but the authors provide tables illustrating the number of effect sizes for each disability category favouring either inclusive or segregated settings along with the quality ratings of the studies from which they were retrieved. The authors point to mixed findings but conclude that the balance of evidence shows favourable academic outcomes for students with special educational needs educated in inclusive settings, however they also note that results are not homogenous and that effects are generally small in magnitude.11 The review was retrieved 2.10.2019 from: https://files.eric.ed.gov/fulltext/ED519296.pdf. Dyssegaard and Larsen (2013) provide a systematic review and narrative synthesis on the effects of including children with special needs in mainstream teaching in primary and lower secondary school, and on which of the applied educational methods have proven to have a positive effect. The narrative synthesis is based on 43 studies of which 16 studies were deemed to have a "high level of evidence". The included studies consist of randomised controlled trials, non-randomised controlled trials, systematic reviews, cohort studies, longitudinal studies, and studies using a pre-test/post-test design. The systematic review included studies focusing on outcomes for both mainstream and special needs students and does not include a meta-analysis. The conclusion points to mixed findings regarding the overall effectiveness of inclusion on the academic achievement and psychosocial adjustment of special needs students and suggests that the effects may vary depending on the age of the child and the overall school and teacher attitudes towards inclusion. Furthermore, the review suggests that the effectiveness of coteaching may depend on the educational background and continuous professional development of both special and general education teachers and of teaching assistants. Carroll et al. (2017) provide a rapid evidence assessment of studies focused on approaches, strategies, and interventions supporting children and young people with special educational needs in mainstream schools. The rapid evidence assessment is based on a systematic search in a single database (ERIC) as well as a strategy of consulting experts within the relevant fields. The initial search identified 1046 papers of which 505 were later excluded due to low quality of evidence. The rapid evidence assessment points to a number of implementation strategies, pedagogical and didactic approaches which have shown positive results. Furthermore, the study points to evidence gaps and suggests the need for further research. The rapid evidence assessment does not include a meta-analysis. In the present review, besides being up to date, we will conduct an extensive risk of bias assessment of all included studies, and we will provide separate meta-analyses for each conceptual outcome (academic achievement, socioemotional development and wellbeing). Furthermore, we hope to be able to conduct moderator analyses based on the children's specific disability categories and the specific type of inclusion setting. This may shed further light on the initial differential findings from existing reviews. Traditional segregated special education is costly and in a time of increased interaction between special and general education systems and constraints on education spending, policymakers must consider the cost-efficiency of different special needs provisions. As more students with special educational needs enter general education settings, educators and policymakers must consider how the needs of these students are met in different settings and on what grounds placement in general or special educational settings should be determined. As previously noted, the current knowledge base is ambiguous with many findings suggesting a complex interplay between student and classroom characteristics (Carlberg & Kavale, 1980; Mesibov & Shea, 1996; Peetsma et al., 2001), leaving special educators and policymakers uncertain when making decisions on special education provision and highlighting the need for a comprehensive review of the effectiveness of inclusion on student outcomes. The objective of this systematic review is firstly: To uncover and synthesise data from studies to assess the effects of inclusion on measures of academic achievement, socioemotional development and wellbeing of children with special needs when compared to children with special needs who receive special education in a segregated setting. A secondary objective is to explore how potential moderators (gender, age, type of special need, part or full time inclusive education, and coteaching) affect the outcomes. The moderator analysis will be performed as outlined in Section 4.3.11. In order to summarise what is known about the causal effects of inclusion on student's academic achievement, socioemotional outcomes, and wellbeing in special education, we will include all studies with a well-defined control group. Thus, the study designs eligible for inclusion are: Randomised and quasi-randomised controlled trials (allocated at either the individual level or cluster level, e.g., class/school/geographical area etc.). Non-randomised studies (inclusion has occurred in the course of usual decisions, the allocation to inclusive and segregated special educational placement is not controlled by the and there is a comparison of two or more of at least a group and a control using a single group research will not be eligible for inclusion in the review. Non-randomised studies using an approach will not be the of exclusion of studies using an for for studies of these In order to the risk of bias in cluster randomised studies, we will study designs in which only one was to the intervention or control group. there must be at least two units in the intervention group and two units in the control group, as there is a risk of effects with effects this likely be In order to the of findings from the present review to current and we will search to studies published The for studies is as a number of systematic reviews and meta-analyses have synthesised the effects of inclusion based on studies published prior to Second, educational settings, pedagogical approaches and the development and of technological to support the educational needs of special needs children have changes throughout the two & and in order for the findings from the present review to be to the current within educational settings, we will review to the more recent findings. The review will include special needs children in to the in in special education in the defined as the countries. The reasons for focusing on the are we that the in which children with disabilities are within is which fundamental differences in the for children with disabilities around the globe et al., 2010; & 2013). Second, special education is costly and thus the resources for special educational support for children with special needs are often different between in the and the developing regarding the of what a special educational need Wilson, 2002). A used be found in the with in which special needs are into 13 different disability categories under which children are eligible for For more information on the disability of with These categories are: challenges related to a child's to or e.g., or impairment conditions a child's or e.g., e.g., and or language impairment difficulties with or e.g., language problems a child's to or impairment including and where a child most or all even with a impairment to a not by the of children from both and vision impairment when a child has problems with or as in the case of disability intellectual by or other kinds of physical disabilities with more than one by the However, the criteria are not to be as or as of what special educational needs but are rather as in the search for and of relevant studies. We that existing to define special educational needs, as in and are by a lack of which to be

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Purpose: Overwhelmed by the huge rise in the number of social media (SM) platforms, B to B firms have been increasingly using multiple social media (SM) platforms to enhance their relationships with their customers. The purpose of this study is to investigate the influence of the competitive pressure to use SM on B to B firms use of multiple SM platforms, organization and individual SM competences and on relationship sales performance. Method: An online survey is implemented to collect data from B to B firms from different industries in an emerging market, i.e. Kuwait, to produce 152 usable questionnaires. Structural equation modeling is carried out using Smart PLS 3. Findings: The main findings show that competitive pressure to use SM fully influences relationship sales performance through individual social media competence. It also influences relationship sales performance through two mediations (1) organizational SM competence, (2) on a less important level, through the use of multiple SM platforms and organizational SM competence. Additionally, both organization and individual SM competence are found to significantly influence relationship sales performance. Implications: This study uncovers the complex mechanism through which competitive pressures to use social media influence both individual and organization social media competence and their relationship with their customers. It demonstrates that the use of multiple SM platforms significantly increases relationship sales performance, but this influence is weak. Therefore, top managers must choose the right number of SM platforms and design clear SM strategies. Originality: This study sheds light on the influence of competitive pressure to use SM on B to B firms’ relationships with their customers i.e. relationship sales performance. This coercive pressure could potentially spread B to B firms’ resources over a large number of SM and lead to poor SM presence. The study also emphasizes the role of top management in choosing the optimal combination of SM platforms and developing their organization SM competence.

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  • Contemporary School Psychology
  • Stephanie L Schmitz + 4 more

There is a nationwide shortage of school psychologists, and while NASP has recommended ways to increase recruitment and retention, the research on recruiting and retaining school psychologists, especially in high-need areas, is limited. Teacher education researchers have begun to address teacher shortages through “grow your own” training programs, but the research on these programs is also limited. A team of university school psychology faculty and regional education agency administrators developed a “Grow Your Own” school psychologist re-specialization training program to support recruiting and retaining school psychologists in rural areas. It is difficult for rural education agencies to recruit young professionals to their area, but it may be possible to recruit professionals currently living in the area to school graduate training programs. The partnership between the university school psychology training program and the regional education agencies addresses the school psychology shortage in one Midwestern state by recruiting special education and related educational professionals to school psychology. A focus of this program is to place more mental health professionals (i.e., school psychologists) in rural schools, therefore addressing the deficiency of mental health services in these rural areas. The partnership and the program are described, as are opportunities and challenges that the team has experienced to date.

  • Research Article
  • Cite Count Icon 111
  • 10.5204/mcj.561
Twitter Archives and the Challenges of "Big Social Data" for Media and Communication Research
  • Oct 11, 2012
  • M/C Journal
  • Jean Burgess + 1 more

Lists and Social MediaLists have long been an ordering mechanism for computer-mediated social interaction. While far from being the first such mechanism, blogrolls offered an opportunity for bloggers to provide a list of their peers; the present generation of social media environments similarly provide lists of friends and followers. Where blogrolls and other earlier lists may have been user-generated, the social media lists of today are more likely to have been produced by the platforms themselves, and are of intrinsic value to the platform providers at least as much as to the users themselves; both Facebook and Twitter have highlighted the importance of their respective “social graphs” (their databases of user connections) as fundamental elements of their fledgling business models. This represents what Mejias describes as “nodocentrism,” which “renders all human interaction in terms of network dynamics (not just any network, but a digital network with a profit-driven infrastructure).”The communicative content of social media spaces is also frequently rendered in the form of lists. Famously, blogs are defined in the first place by their reverse-chronological listing of posts (Walker Rettberg), but the same is true for current social media platforms: Twitter, Facebook, and other social media platforms are inherently centred around an infinite, constantly updated and extended list of posts made by individual users and their connections.The concept of the list implies a certain degree of order, and the orderliness of content lists as provided through the latest generation of centralised social media platforms has also led to the development of more comprehensive and powerful, commercial as well as scholarly, research approaches to the study of social media. Using the example of Twitter, this article discusses the challenges of such “big data” research as it draws on the content lists provided by proprietary social media platforms.Twitter Archives for ResearchTwitter is a particularly useful source of social media data: using the Twitter API (the Application Programming Interface, which provides structured access to communication data in standardised formats) it is possible, with a little effort and sufficient technical resources, for researchers to gather very large archives of public tweets concerned with a particular topic, theme or event. Essentially, the API delivers very long lists of hundreds, thousands, or millions of tweets, and metadata about those tweets; such data can then be sliced, diced and visualised in a wide range of ways, in order to understand the dynamics of social media communication. Such research is frequently oriented around pre-existing research questions, but is typically conducted at unprecedented scale. The projects of media and communication researchers such as Papacharissi and de Fatima Oliveira, Wood and Baughman, or Lotan, et al.—to name just a handful of recent examples—rely fundamentally on Twitter datasets which now routinely comprise millions of tweets and associated metadata, collected according to a wide range of criteria. What is common to all such cases, however, is the need to make new methodological choices in the processing and analysis of such large datasets on mediated social interaction.Our own work is broadly concerned with understanding the role of social media in the contemporary media ecology, with a focus on the formation and dynamics of interest- and issues-based publics. We have mined and analysed large archives of Twitter data to understand contemporary crisis communication (Bruns et al), the role of social media in elections (Burgess and Bruns), and the nature of contemporary audience engagement with television entertainment and news media (Harrington, Highfield, and Bruns). Using a custom installation of the open source Twitter archiving tool yourTwapperkeeper, we capture and archive all the available tweets (and their associated metadata) containing a specified keyword (like “Olympics” or “dubstep”), name (Gillard, Bieber, Obama) or hashtag (#ausvotes, #royalwedding, #qldfloods). In their simplest form, such Twitter archives are commonly stored as delimited (e.g. comma- or tab-separated) text files, with each of the following values in a separate column: text: contents of the tweet itself, in 140 characters or less to_user_id: numerical ID of the tweet recipient (for @replies) from_user: screen name of the tweet sender id: numerical ID of the tweet itself from_user_id: numerical ID of the tweet sender iso_language_code: code (e.g. en, de, fr, ...) of the sender’s default language source: client software used to tweet (e.g. Web, Tweetdeck, ...) profile_image_url: URL of the tweet sender’s profile picture geo_type: format of the sender’s geographical coordinates geo_coordinates_0: first element of the geographical coordinates geo_coordinates_1: second element of the geographical coordinates created_at: tweet timestamp in human-readable format time: tweet timestamp as a numerical Unix timestampIn order to process the data, we typically run a number of our own scripts (written in the programming language Gawk) which manipulate or filter the records in various ways, and apply a series of temporal, qualitative and categorical metrics to the data, enabling us to discern patterns of activity over time, as well as to identify topics and themes, key actors, and the relations among them; in some circumstances we may also undertake further processes of filtering and close textual analysis of the content of the tweets. Network analysis (of the relationships among actors in a discussion; or among key themes) is undertaken using the open source application Gephi. While a detailed methodological discussion is beyond the scope of this article, further details and examples of our methods and tools for data analysis and visualisation, including copies of our Gawk scripts, are available on our comprehensive project website, Mapping Online Publics.In this article, we reflect on the technical, epistemological and political challenges of such uses of large-scale Twitter archives within media and communication studies research, positioning this work in the context of the phenomenon that Lev Manovich has called “big social data.” In doing so, we recognise that our empirical work on Twitter is concerned with a complex research site that is itself shaped by a complex range of human and non-human actors, within a dynamic, indeed volatile media ecology (Fuller), and using data collection and analysis methods that are in themselves deeply embedded in this ecology. “Big Social Data”As Manovich’s term implies, the Big Data paradigm has recently arrived in media, communication and cultural studies—significantly later than it did in the hard sciences, in more traditionally computational branches of social science, and perhaps even in the first wave of digital humanities research (which largely applied computational methods to pre-existing, historical “big data” corpora)—and this shift has been provoked in large part by the dramatic quantitative growth and apparently increased cultural importance of social media—hence, “big social data.” As Manovich puts it: For the first time, we can follow [the] imaginations, opinions, ideas, and feelings of hundreds of millions of people. We can see the images and the videos they create and comment on, monitor the conversations they are engaged in, read their blog posts and tweets, navigate their maps, listen to their track lists, and follow their trajectories in physical space. (Manovich 461) This moment has arrived in media, communication and cultural studies because of the increased scale of social media participation and the textual traces that this participation leaves behind—allowing researchers, equipped with digital tools and methods, to “study social and cultural processes and dynamics in new ways” (Manovich 461). However, and crucially for our purposes in this article, many of these scholarly possibilities would remain latent if it were not for the widespread availability of Open APIs for social software (including social media) platforms. APIs are technical specifications of how one software application should access another, thereby allowing the embedding or cross-publishing of social content across Websites (so that your tweets can appear in your Facebook timeline, for example), or allowing third-party developers to build additional applications on social media platforms (like the Twitter user ranking service Klout), while also allowing platform owners to impose de facto regulation on such third-party uses via the same code. While platform providers do not necessarily have scholarship in mind, the data access affordances of APIs are also available for research purposes. As Manovich notes, until very recently almost all truly “big data” approaches to social media research had been undertaken by computer scientists (464). But as part of a broader “computational turn” in the digital humanities (Berry), and because of the increased availability to non-specialists of data access and analysis tools, media, communication and cultural studies scholars are beginning to catch up. Many of the new, large-scale research projects examining the societal uses and impacts of social media—including our own—which have been initiated by various media, communication, and cultural studies research leaders around the world have begun their work by taking stock of, and often substantially extending through new development, the range of available tools and methods for data analysis. The research infrastructure developed by such projects, therefore, now reflects their own disciplinary backgrounds at least as much as it does the fundamental principles of computer science. In turn, such new and often experimental tools and methods necessarily also provoke new epistemological and methodological challenges. The Twitter API and Twitter ArchivesThe Open

  • Research Article
  • 10.61211/mjqr100101
Special Education Teachers’ Competency and Challenges in Teaching Children with Intellectual Disabilities: Narratives from Afghanistan
  • May 31, 2024
  • The Malaysian Journal of Qualitative Research
  • Samia, Narina, Hadijah Arjumandi, A.Samah, Jafri

This paper investigates the proficiency of special education (SE) teachers and the challenges they face in educating children with intellectual disabilities (CIDs), as reported by primary school teachers in Afghanistan. This study utilized a qualitative narrative research approach. A total of five special education (SE) teachers who teach children with intellectual disabilities (CIDs) from different primary schools in Kabul, Afghanistan participated in this study. The schools where the special education (SE) teachers work were under the management of non-governmental organizations (NGOs). The five teachers were interviewed in the Afghan language, Dari, as well as English, based on the participants' choices, and subsequently transcribed and translated accordingly. The data was analysed using thematic analysis and resulted in the identification of three main themes: the competencies of teachers in fieldwork; pedagogical and professional knowledge; and the behavioural issues of children with intellectual disabilities (CIDs) as well as the difficulties encountered by special education (SE) teachers. They have indicated their requirement for professional development programs and modern instructional tools, both of which are considered necessary skills for instructors working in the field of special education. Ultimately, the results of this study suggest that special education (SE) teachers should possess extensive knowledge in their specific areas of expertise and consistently strive to improve their professional expertise and level of teaching proficiency. This can be achieved by enhancing their knowledge, engaging in specialized training programs for the field of special education, and actively seeking further information on the instructional skills required to support students with cognitive impairments who require individualized educational planning.

  • Research Article
  • Cite Count Icon 45
  • 10.1053/j.ackd.2013.04.001
Using Digital Media to Promote Kidney Disease Education
  • Jun 26, 2013
  • Advances in Chronic Kidney Disease
  • Karen Goldstein + 6 more

Using Digital Media to Promote Kidney Disease Education

  • Research Article
  • 10.5075/epfl-thesis-7495
Enhancing Social Media Platforms for Educational and Humanitarian Knowledge Sharing
  • Jan 1, 2017
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne)
  • Andrii Vozniuk

Social media (SM) platforms have demonstrated their ability to facilitate knowledge sharing on the global scale. They are increasingly often employed in educational and humanitarian domains where, despite their general benefits, they expose challenges peculiar to these domains. Specifically, the research context of this thesis is directed by my participation in the Go-Lab European project and my collaboration with Medecins Sans Frontieres (MSF) where SM platforms were used extensively. In this thesis, we address four challenges regarding analytics, privacy, discovery, and delivery, aiming to answer corresponding four research questions. How to provide user-oriented analytics in knowledge sharing systems to support awareness and reflection? What privacy management interfaces and mechanisms are suitable for knowledge analytics and learning analytics? How to enable discovery of knowledge relevant to user interests? How to facilitate knowledge delivery into settings where Internet connectivity is limited or absent? Henceforward, we provide an overview of our results. Analytics. To enable awareness and reflection for an SM platform users, we propose the embedded contextual analytics model where the analytics is embedded into the interaction context and presents information relevant to that particular context. Also, we propose two general architectures materializing this model respectfully based on real-time analytical applications and a scalable analytic back-end. Using these architectures, we provided analytics services to the SM platform users. We conducted an evaluation with the users demonstrating that embedded contextual analytics was useful to support their awareness and reflection. Privacy. To address the privacy concerns associated with the recording, storage, and analysis of user interaction traces, we propose a novel agent-based privacy management model. Our proposal uses a metaphor of physical presence of a tracking agent in an interaction context making the platform user aware of the tracking and allows to manage the tracking policy in a way similar to the physical world. We have implemented the proposed privacy interface in an SM platform and obtained positive evaluation results with the users. Discovery. Due to a large number of content items stored in SM platforms, it can be challenging for the users to find relevant knowledge. Addressing this challenge, we propose an interactive recommender system based on user interests enabling discovery of relevant content and people. We have implemented the proposed recommender in an SM platform and conducted two evaluations with platform users. The evaluations demonstrated the ability of the approach to identify relevant user interests and to recommend relevant content. Delivery. At the moment of writing in 2016, near half of the world's population still does not have reliable Internet access. Often, the places where humanitarian action is needed have limited Internet connection. We propose a novel knowledge delivery model that relies on a peer-to-peer middleware and uses low-cost computers for local knowledge replication. We have developed a system implementing the model and evaluated it during eight deployments in MSF missions. The evaluation demonstrated its knowledge delivery abilities and its usefulness for the field staff.

  • Research Article
  • 10.55214/25768484.v9i5.6930
The effectiveness of collaboration among special and general education teachers in the Kingdom of Saudi Arabia
  • May 6, 2025
  • Edelweiss Applied Science and Technology
  • Fawaz Alhossyan

This study examined the attitudes of special and general education teachers toward collaboration in an inclusive classroom setting. A semi-structured interview design was used to gain in-depth insights and explore the effectiveness of collaboration between special education and general education teachers in the Kingdom of Saudi Arabia. After an initial screening questionnaire, six educators—four special education teachers and two general education teachers—were chosen for individual telephone interviews. The data revealed four core themes: (1) professional development, (2) limited communication between teachers, (3) insufficient resources, and (4) time constraints. Further investigation of collaborative practices between special and general education teachers is recommended to enhance inclusion.

  • Book Chapter
  • Cite Count Icon 1
  • 10.1007/978-981-15-7961-5_122
Social Media Analytics: Techniques, Tools, Platforms a Comprehensive Review
  • Oct 12, 2020
  • Ravinder Ahuja + 2 more

To determine which social media analytics tools, techniques, and platforms were developed in recent times, this paper reviews tools, techniques, and platforms related to social media analytics. In this paper, we talk about the tools used to deal with various social media data (social networking, media, etc.). In the past decade, there has been advancement in the technologies used to deal with social media as there has been an increase in the number of people using social media to share information and also the development of the new social media platforms that have let to increase in the amount of data that we have to deal with. Social media platforms have a considerable number of users across the world, which is overgrowing. These people are sharing information through these sources. There is a large quantity of social data comprising of data related to users, videos, web-based relations, and interactions, etc. which needs to be analyzed. Therefore analyzing social media data has become a significant activity for researchers, mainly due to the availability of the web-based API from social media platforms like twitter, facebook [1], Gmail, etc. This has also led to the development of data services, software tools for analyzing social media data. In this paper, there is a detailed review of the leading software tools and techniques that are used for scraping, cleaning, and analyzing social media data.

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