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Purpose – The purpose of this chapter is to explain the importance of thinking flexibly about the gradual release of responsibility (GRR) during the implementation of an explicit strategy instruction model, Critical Elements of Strategy Instruction (CESI). When the GRR model is typically used to inform teachers’ pedagogical practices, each phase of the scaffolding in the gradual release is usually represented as being a straight line of progression from modeling to guided practice, and then to independence. Scaffolding is often viewed as being a more static progression needed by all students. The authors explore the ebb and flow of scaffolding necessary in the GRR model when teaching the CESI framework to elementary aged students who demonstrated different degrees of competence in applying reading strategies.

Design/Methodology – The findings presented are the result of a two-year longitudinal professional development study with nine in-service elementary school teachers (one male and eight female), with masters’ degrees who ranged in experience from six to 18 years. The teachers used the Pedagogy of Video Reflection (Shanahan et al., 2013) to reflect on their implementation of the CESI, which draws upon the GRR model.

Findings – The authors use examples from their two-year explicit strategy instruction research to illustrate how their experienced in-service teachers learned to think more flexibly about scaffolding in the GRR model. Teachers explored their misconceptions about explicit strategy instruction and the gradual release. Two major shifts in their thinking were the GRR model was not the static model they interpreted it to be and they also realized that they had to use a gradual release when teaching readers the conditional knowledge so readers could use strategies independently.

Research Limitations/Implications – A two-dimensional representation of a complex concept, like the GRR can result in a less nuanced understanding of a complex concept, even when many of these issues are previously discussed in research and practitioner publications.

Practical Implications – Classroom teachers are provided with a more complex understanding of GRR model, where they need to interpret student responses to know when to and not release learners.

Originality/Value of Chapter – This chapter captures in-service teachers’ perspectives of the GRR model as being flexible instead of static and also reveals how student responses can be used to gauge how to make adaptations to ­scaffolding.

Our purpose in this chapter is to provide researchers and educators with a model of how the Gradual Release of Responsibility (GRR) can be used with inservice and preservice teachers for professional development when teachers engage in reflective processes through the use of video reflection.

In this chapter we provide a brief review of the literature related to video as a learning tool for reflection and a discussion of the Gradual Release of Responsibility and emphasize the role of a teacher educator or more knowledgeable other who scaffolds inservice and preservice teacher reflection across various contexts. Several versions of the GRR model are included. We introduce and explain examples from two class sessions where a combination of inservice and preservice teachers engaged in reflection through video with support from a teacher educator.

We demonstrate that the teacher educator followed the GRR model as she guided preservice and inservice teachers to reflect on video. Through a contrastive analysis of two different class sessions, we show how the instructor released responsibility to the students and how students began to take up this responsibility to reflect more deeply on their own teaching practices.

The examples within this chapter are from a graduate level teacher education course affiliated with a university literacy center. The course was comprised of both preservice and inservice teachers. The model is applicable in a variety of settings and for teachers who are novices as well as those who are experienced teachers.

This is a valuable model for teacher educators and others in professional development to use with teachers. Many teachers are familiar with the use of the GRR model in considering how to guide children’s literacy practices, and the GRR can easily be introduced to teachers to assist them in video reflection on their own teaching.

This chapter provides significant research-based examples of the GRR model and foregrounds the role of a teacher educator in video reflection. The chapter provides a unique framing for research and teaching related to video reflection. The chapter explicitly links the GRR to teacher reflection and video in contexts of professional development or teacher education.

This chapter serves to synthesize existing literature centered on inservice teacher video-facilitated reflection on literacy pedagogy.

The inservice teacher literature review is focused on: (1) video analysis frameworks and scaffolds used to facilitate inservice teachers’ video reflection; (2) reflection and video discussions; and (3) the use of video for inservice teacher change and development.

From this review we learn that there is a dearth of video reflection research with inservice teachers on literacy pedagogy. Within the field of literacy, we know far less about how, when, and why to use video with inservice teachers than preservice teachers.

The review of literature does not incorporate inservice teacher video reflection in disciplines such as science and mathematics. Expanding this review to all disciplines would present a more comprehensive picture of video reflection with inservice teachers.

The chapter highlights the potential value of using video in inservice professional development and points to the specific needs for studies to identify the most effective uses of video specific to inservice professionals.

This chapter provides significant research-based information for designing and implementing future studies and professional development focused on video reflection with inservice teachers.

Purpose – This chapter provides the reader with an overview of a reflective video pedagogy for use within a literacy center or within professional development contexts. The conceptual overview is followed by two-case examples that reveal how literacy centers can serve as rich, productive research sites for the use and study of reflective video pedagogy.

Methodology/approach – The authors describe their ongoing work to develop and integrate a reflective video pedagogy within a literacy center during a 15-week practicum for literacy-specialists-in-training. The reflective video pedagogy is not only used by the clinicians who work with struggling readers twice a week, but it is also used by the researchers at the literacy center who study the reflective video pedagogy through the same video the clinicians use.

Practical implications – Literacy centers are dynamic sites where children, families, pre/in-service teachers, and teacher educators work together around literacy development. Reflective video pedagogies can be used to closely examine learning and teaching for adult students (i.e., clinicians) and for youth (i.e., children in elementary, middle, and high school) and also for parents who want their children to find success with literacy.

Research implications – In recent years “scaling up” and “scientific research” have come to dominate much of the literacy research landscape. While we see the value and necessity of large-scale experimental studies, we also posit that literacy centers have a unique role to play. Given that resources are scarce, literacy scholars must maximize the affordances of literacy centers as rich, productive research sites for the use and study of a reflective video pedagogy.

Hate speech in recent times has become a troubling development. It has different meanings to different people in different cultures. The anonymity and ubiquity of the social media provides a breeding ground for hate speech and makes combating it seems like a lost battle. However, what may constitute a hate speech in a cultural or religious neutral society may not be perceived as such in a polarized multi-cultural and multi-religious society like Nigeria. Defining hate speech, therefore, may be contextual. Hate speech in Nigeria may be perceived along ethnic, religious and political boundaries. The purpose of this paper is to check for the presence of hate speech in social media platforms like Twitter, and to what degree is hate speech permissible, if available? It also intends to find out what monitoring mechanisms the social media platforms like Facebook and Twitter have put in place to combat hate speech. Lexalytics is a term coined by the authors from the words lexical analytics for the purpose of opinion mining unstructured texts like tweets.

This research developed a Python software called polarized opinions sentiment analyzer (POSA), adopting an ego social network analytics technique in which an individual’s behavior is mined and described. POSA uses a customized Python N-Gram dictionary of local context-based terms that may be considered as hate terms. It then applied the Twitter API to stream tweets from popular and trending Nigerian Twitter handles in politics, ethnicity, religion, social activism, racism, etc., and filtered the tweets against the custom dictionary using unsupervised classification of the texts as either positive or negative sentiments. The outcome is visualized using tables, pie charts and word clouds. A similar implementation was also carried out using R-Studio codes and both results are compared and a t-test was applied to determine if there was a significant difference in the results. The research methodology can be classified as both qualitative and quantitative. Qualitative in terms of data classification, and quantitative in terms of being able to identify the results as either negative or positive from the computation of text to vector.

The findings from two sets of experiments on POSA and R are as follows: in the first experiment, the POSA software found that the Twitter handles analyzed contained between 33 and 55 percent hate contents, while the R results show hate contents ranging from 38 to 62 percent. Performing a t-test on both positive and negative scores for both POSA and R-studio, results reveal p-values of 0.389 and 0.289, respectively, on an α value of 0.05, implying that there is no significant difference in the results from POSA and R. During the second experiment performed on 11 local handles with 1,207 tweets, the authors deduce as follows: that the percentage of hate contents classified by POSA is 40 percent, while the percentage of hate contents classified by R is 51 percent. That the accuracy of hate speech classification predicted by POSA is 87 percent, while free speech is 86 percent. And the accuracy of hate speech classification predicted by R is 65 percent, while free speech is 74 percent. This study reveals that neither Twitter nor Facebook has an automated monitoring system for hate speech, and no benchmark is set to decide the level of hate contents allowed in a text. The monitoring is rather done by humans whose assessment is usually subjective and sometimes inconsistent.

This study establishes the fact that hate speech is on the increase on social media. It also shows that hate mongers can actually be pinned down, with the contents of their messages. The POSA system can be used as a plug-in by Twitter to detect and stop hate speech on its platform. The study was limited to public Twitter handles only. N-grams are effective features for word-sense disambiguation, but when using N-grams, the feature vector could take on enormous proportions and in turn increasing sparsity of the feature vectors.

The findings of this study show that if urgent measures are not taken to combat hate speech there could be dare consequences, especially in highly polarized societies that are always heated up along religious and ethnic sentiments. On daily basis tempers are flaring in the social media over comments made by participants. This study has also demonstrated that it is possible to implement a technology that can track and terminate hate speech in a micro-blog like Twitter. This can also be extended to other social media platforms.

This study will help to promote a more positive society, ensuring the social media is positively utilized to the benefit of mankind.

The findings can be used by social media companies to monitor user behaviors, and pin hate crimes to specific persons. Governments and law enforcement bodies can also use the POSA application to track down hate peddlers.

Sexual violence (SV) is a pervasive public health issue on college campuses. While much research has been conducted to determine factors contributing to SV, little work focuses on the role of perceived social norms. The purpose of this paper is to examine college students’ perceived descriptive norms for SV perpetration (i.e. prevalence estimates for SV).

Using a cross-sectional survey, male and female college students from a large public institution in the Southeastern USA were instructed to estimate the prevalence of SV for “typical students” of their same gender on campus.

When compared to actual prevalence rates of SV perpetrated by females and males, both perpetrators and non-perpetrators overestimated the prevalence of SV among same-sex peers, but perpetrators made even higher estimates compared to those made by non-perpetrators for some sexually aggressive acts. Results demonstrate strong and consistent normative misperceptions surrounding SV perpetration.

Findings lend support for testing social norms-based prevention programs for SV on college campuses.

This study is one of the first investigations into perceived social norms surrounding SV; perceived social norms may be an influential factor contributing to SV.

The genesis of “shareholder activism” in the USA may be traced back to several decades, but it only evolved in India at the start of the 21st century. This paper aims to explore the concept of “shareholder activism” in the Indian context, in light of the New Companies Act, 2013. The act is envisioned as a precursor to invoking the intention of shareholders to confront managers. Further, it aims to look at the possibilities of using tools of shareholder activism to make companies aware of their concerns.

Authors explore the concept of shareholder activism with the help of textual analysis, using R. Then, the authors study the mediating effects of “shareholder’s intention towards activism” between the “regulatory mechanisms” and “the usage of various tools of activism”, using the partial least square approach.

Regulatory mechanisms, such as the Companies Act, 2013, enhance the shareholders’ power to sensitise companies towards various corporate governance issues. It also increases their intention towards shareholder activism, eventually leading to favourable opinion on using various tools of “activism” in their investee companies.

This study is a unique attempt to assess the minority shareholders’ potential to become active in their investee companies induced by changes in the rules and regulations of a country.

Shareholder activism in India has not been thoroughly explored thus far. This paper specifically studies the opinions of retail investors, who possibly could increase companies’ accountability towards their minority shareholders, especially in light of the New Companies Act, 2013.