Therapists in a Foreign Land: Acculturation, Language Proficiency and Counseling Self-Efficacy among Foreign-Born Therapists Practicing in the United States

Immigration and acculturation can have profound effects on counselors’ sense of self and interactions with others. Yet the influence of being an immigrant on a therapist’s use of self during actual clinical encounters has received very little empirical attention, even though the number of foreign-born counselors is steadily increasing in the U.S. In order to fill this gap we conducted a web-based survey study to examine the associations between acculturation, language proficiency, and clinician’s self-efficacy in a sample of 258 foreign-born counselors and providers currently practicing in the U.S. Results suggest that perceived prejudice and not the level of acculturation is significantly associated with levels of clinical self-efficacy, suggesting that the attitudes and behaviors of the host community play a much bigger role in the acculturation of immigrant therapists than previously assumed.     

Development of Intra‐ and Intergroup Judgments in the Context of Moral and Social‐Conventional Norms

Children and adolescents evaluated group inclusion and exclusion in the context of generic and group‐specific norms involving morality and social conventions. Participants (N = 381), aged 9.5 and 13.5 years, judged an in‐group member's decision to deviate from the norms of the group, whom to include, and whether their personal preference was the same as what they expected a group should do. Deviating from in‐group moral norms about unequal allocation of resources was viewed more positively than deviating from conventional norms about nontraditional dress codes. With age, participants gave priority to group‐specific norms and differentiated what the group should do from their own preference about the group's decision, revealing a developmental picture about children's complex understanding of group dynamics and group norms.     

Design lessons about participatory self-directed online learning in a graduate-level instructional technology course

This article reports on a case of participatory self-directed online learning within the context of a graduate-level instructional technology course. The course was about online learning environments and relied on both asynchronous and synchronous technologies. In this case, the instructor and students engaged in collaborative course design through one of the assignments where student teams and the instructor led one week’s worth of course activities and discussions. This article begins with a discussion of the literature on participatory self-directed online learning. Then, the article presents an overview of the course design, detailed discussion of the assignment that framed student participatory self-directed learning and two examples of student assignments. The framing question for organising this case was as follows: What lessons can a team of graduate students and the instructor learn about self-directed participatory online learning from a collaborative design project? The article ends with the overall lessons learned from the case and implications to future design of online activities.     

The hypothesis testing knowledge blend

The creation of several forms of knowledge that would enable organizations to ask and say the right things during complex diagnoses is proposed. Based on the concept of knowledge combustion, the hypothesis testing knowledge blend (HTKB) is the cognitive equivalent of petrol for the combustion engine. The HTKB requires the creation of a knowledge hybrid that uses existing technologies to ask and say the right things. In addition to timing mechanisms and problem space maps, two forms of declarative knowledge (directions and explanations) are integrated to create the HTKB. These directions and explanations would be obtained directly from the video recordings of diagnosticians conducting teleconsultations. By providing these profound dialogues during the conduct of complex diagnoses, the HTKB should increase the knowledge capital of organizations. Formal analyses are beginning to validate the conceptual structure (blue print) presented in this paper, and the results will be provided in the future.     

Ethics for things

This paper considers the ways that Information Ethics (IE) treats things. A number of critics have focused on IE’s move away from anthropocentrism to include non-humans on an equal basis in moral thinking. I enlist Actor Network Theory, Dennett’s views on ?as if’ intentionality and Magnani’s characterization of ?moral mediators’. Although they demonstrate different philosophical pedigrees, I argue that these three theories can be pressed into service in defence of IE’s treatment of things. Indeed the support they lend to the extension of moral status to non-human objects can be seen as part of a trend towards the accommodation of non-humans into our moral and social networks. A number of parallels are drawn between philosophical arguments over artificial intelligence and information ethics.     

Revisiting the cluster-based paradigm for implicit search result diversification

To cope with ambiguous and/or underspecified queries, search result diversification (SRD) is a key technique that has attracted a lot of attention. This paper focuses on implicit SRD, where the subtopics underlying a query are unknown. Many existing methods appeal to the greedy strategy for generating diversified results. A common practice is using a heuristic criterion for making the locally optimal choice at each round. As a result, it is difficult to know whether the failures are caused by the optimization criterion or the setting of parameters. Different from previous studies, we formulate implicit SRD as a process of selecting and ranking k exemplar documents through integer linear programming (ILP). The key idea is that: for a specific query, we expect to maximize the overall relevance of the k exemplar documents. Meanwhile, we wish to maximize the representativeness of the selected exemplar documents with respect to the non-selected documents. Intuitively, if the selected exemplar documents concisely represent the entire set of documents, the novelty and diversity will naturally arise. Moreover, we propose two approaches ILP4ID (Integer Linear Programming for Implicit SRD) and AP4ID (Affinity Propagation for Implicit SRD) for solving the proposed formulation of implicit SRD. In particular, ILP4ID appeals to the strategy of bound-and-branch and is able to obtain the optimal solution. AP4ID being an approximate method transforms the target problem as a maximum-a-posteriori inference problem, and the message passing algorithm is adopted to find the solution. Furthermore, we investigate the differences and connections between the proposed models and prior models by casting them as different variants of the cluster-based paradigm for implicit SRD. To validate the effectiveness and efficiency of the proposed approaches, we conduct a series of experiments on four benchmark TREC diversity collections. The experimental results demonstrate that: (1) The proposed methods, especially ILP4ID, can achieve substantially improved performance over the state-of-the-art unsupervised methods for implicit SRD. (2) The initial runs, the number of input documents, query types, the ways of computing document similarity, the pre-defined cluster number and the optimization algorithm significantly affect the performance of diversification models. Careful examinations of these factors are highly recommended in the development of implicit SRD methods. Based on the in-depth study of different types of methods for implicit SRD, we provide additional insight into the cluster-based paradigm for implicit SRD. In particular, how the methods relying on greedy strategies impact the performance of implicit SRD, and how a particular diversification model should be fine-tuned.     

‘It's the best job in the world,but one of the hardest,loneliest, most misunderstood roles in a school.’ Understanding the complexity of the SENCO role post-SEND reform

In schools, the Special Educational Needs Coordinator (SENCO) could be considered a key policy implementer of special educational needs and inclusive policy. Issues related to time, status and the effective facilitation of the SENCO role have been reported on extensively, yet literature has predominantly focused on the role prior to the introduction of the Special Educational Needs and Disability (SEND) reforms in 2014. This paper reports on research which explored the SENCO role post-reform. The research aimed to understand how widely the role varied across differing educational settings and phases, whilst also exploring the breadth and depth of the role, post-SEND reform. The research design was mixed methods and had two phases: online focus groups (n = 15), followed by a national online survey (n = 1903). The findings suggest that the facilitation of the SENCO role remains problematic post-reform. Constraints include the time to undertake responsibilities, the increasing breadth of the role and how the role is understood by others. This combined with increased external bureaucracy, budgetary constraints and a lack of consistency nationally has led to a situation where only approximately one-third of SENCOs intend to remain in the role in five years’ time.     

It's Not Just Angoff: Misperceptions of Hard and Easy Items in Bookmark-Type Ratings

A common belief is that the Bookmark method is a cognitively simpler standard-setting method than the modified Angoff method. However, a limited amount of research has investigated panelist's ability to perform well the Bookmark method, and whether some of the challenges panelists face with the Angoff method may also be present in the Bookmark method. This article presents results from three experiments where panelists were asked to give Bookmark-type ratings to separate items into groups based on item difficulty data. Results of the experiments showed, consistent with results often observed with the Angoff method, that panelists typically and paradoxically perceived hard items to be too easy and easy items to be too hard. These perceptions were reflected in panelists often placing their Bookmarks too early for hard items and often placing their Bookmarks too late for easy items. The article concludes with a discussion of what these results imply for educators and policymakers using the Bookmark standard-setting method.     

How Mexico is Striving to Nurture Booksellers and Promote Reading

Citing the small number of bookstores in operation and a poor average annual book consumption among readers in Mexico, publishing industry professionals have long lamented the moribund state of the industry, while calling for more effective legislation to protect both publishers and booksellers and the creation of programs to promote reading among citizens of all ages. But in the last couple of years moves have been made to nurture the book industry and create greater awareness of the importance of reading as a vital cultural pastime, through training programs and by harnessing technological innovation, and while there is still much work to be done, publishers and booksellers alike are optimistic that they are making progress.