Soft approaches to information access on the Web: An introduction to the special issue

Soft Computing (SC) tools present a great potential in real-life problems related with engineering, industrial applications, medicine, finances, etc. In this special issue we present a set of seven papers that report original research about the use of SC techniques to solve the problems in the field of information access on the Web.     

Quantitative and qualitative evaluation of linguistic input support to a prelingually deaf child with cued speech: A case study

This paper studies the linguistic input attended by a deaf child exposed to cued speech (CS) in the final part of her prelinguistic period (18-24 months). Subjects are the child, her mother, and her therapist. Analyses have provided data about the quantity of input directed to the child (oral input, more than 1,000 words per half-an-hour session; cued ratio, more than 60% of oral input; and attended ratio, more than 55% of oral input), its linguistic quality (lexical variety, grammatical complexity, etc.), and other properties of interaction (child attention and use of spontaneous gestures). Results show that both adults provided a rich linguistic input to the child and that the child attended most of the input that the adults cued. These results might explain the positive linguistic development of children exposed early to CS.     

Telematics for Teacher Education: issues from a European conference

ABSTRACT

The world Information Superhighway is under discussion in many countries. Within Europe the discussion is also very active as is the promotion of the use of telematics for trans‐European communication and co‐operation in various areas. For education and training, representatives of European teacher trainers, teachers, students, parents, policy and decision makers discussed their needs and views on a trans‐European network at a conference held in May 1994 in Luxembourg. This paper presents a selection of various issues raised at the conference regarding the use of telematics for teacher education and illustrates the discussion and the method of discussion. It also describes and discusses the conference programme model, as it offered innovative on‐line activities to facilitate appreciation of telematics. The case is argued that teacher education can benefit greatly from telematics and some points are put forward for further discussion.     

Relationships Among Measures as Empirical Evidence of Validity: Incorporating Multiple Indicators of Achievement and School Context

In this article we examine empirical evidence on the criterion, predictive, transfer, and fairness aspects of validity of a large-scale language arts performance assessment, referred to as the Performance Assignment (PA). We use multilevel models to avoid biased inferences that might result from the naturally nested data. Specifically, we examine the relationships of the assessment with the Stanford Achievement Test, 9th Edition and the California High School Exit Examination. The results indicate that the measures are related, that students demonstrate a degree of transfer, and that the language arts PA is relatively more fair than comparison assessments. The results are robust to various model specifications and demonstrate that benefits do not accrue to all students equally.     

A Longitudinal Analysis of the Relations Among Professional Development,Educators’ Beliefs and Perceived Skills,and Response-to-Intervention Implementation

ABSTRACT

Professional development is a critical systems-level intervention thought to facilitate Response-to-Intervention (RtI) implementation. The current study examined the relations between professional development, educator outcomes, and problem-solving implementation within an RtI framework using growth curve modeling. School leadership teams from pilot schools (n = 34) participated in 3 years of training. Pilot schools also received job-embedded coaching. Comparison schools (n = 27) provided a referent group. Results indicated that problem-solving implementation increased faster at pilot schools (β = 0.10, SE = 0.05, t = 2.03, p < .05). In addition, beliefs regarding data-based decision-making (β = 0.36, SE = 0.17, t = 2.13, p < .05) and perceived problem-solving skills applied to academics (β = 0.30, SE = 0.10, t = 3.07, p < .01) positively related to implementation. Implications include the needs to further explore professional development activities and for consultants to utilize evidence-based professional development principles when supporting RtI implementation.     

Gene editing in plants: progress and challenges

The clustered regularly interspaced short palindromic repeat (CRISPR)-associated protein 9 (Cas9) genome editing system is a powerful tool for targeted gene modifications in a wide range of species, including plants. Over the last few years, this system has revolutionized the way scientists perform genetic studies and crop breeding, due to its simplicity, flexibility, consistency and high efficiency. Considerable progress has been made in optimizing CRISPR/Cas9 systems in plants, particularly for targeted gene mutagenesis. However, there are still a number of important challenges ahead, including methods for the efficient delivery of CRISPR and other editing tools to most plants, and more effective strategies for sequence knock-ins and replacements. We provide our viewpoint on the goals, potential concerns and future challenges for the development and application of plant genome editing tools.     

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.     

Insights into the Integration of Traditional Filipino Arts in Art and Design Education: Voices from the Academe

This article presents the first segment of a qualitative study that explores the feasibility of integrating traditional arts in Philippine art and design education. The views of educators on traditional arts were sought to provide an impetus for the study and a springboard for discussion regarding the relevance of traditional Filipino arts in a predominantly Westernised educational system. The educators’ views and opinions on the central question, ‘Why and how should the study of traditional Filipino arts be integrated in the art and design programme?’ will be used to guide a trial integration of the learning of traditional arts in tertiary art and design classes. They will form part of the multiple perspectives that will be gathered from various sectors throughout the course of research. This phenomenological study, on the whole, seeks to uncover the potentials of traditional arts as a rich resource for learning, particularly for students of art and design.     

Students with special educational needs and cooperative learning in the ordinary classroom: some learnings from teaching practice

This article presents the results of a study to determine the strategies used by teachers to include students with special educational needs in regular classrooms, primarily using Cooperative Learning strategies. It aims to identify the factors of inclusive learning in order to enhance the participation and learning of all students in the classroom and in their cooperative teams. A qualitative case study was carried out in the context of the teachers participating in a postgraduate course ‘expert in cooperative learning’ offered by the University of Alcalá (Spain), over a period of six years (2011–2017), involving the participation of 176 professional teachers. All the participants attended an annual university continuous training course on cooperative learning. Document analysis, in-depth interviews and a questionnaire designed ad hoc were used. The conclusions include the importance of cooperative work in facilitating inclusive education, with a variety of different strategies used to respond to all students' needs, and those with special educational needs in particular, and the coordination required between teachers and special educational needs specialists to implement those strategies.     

A QUALITATIVE STUDY OF FACILITATORS AND BARRIERS RELATED TO COMPREHENSIVE AND INTEGRATED SCHOOL PSYCHOLOGICAL SERVICES

Recent studies indicate that the majority of school psychologists’ time continues to be dedicated to SPED related activities. Despite ongoing calls for school psychologists to expand their roles, why many practitioners do not deliver more comprehensive services is not well understood. This qualitative study investigated facilitators of and barriers to comprehensive and integrated services using the National Association of School Psychologists Model for Comprehensive and Integrated School Psychological Services as the guiding framework. Thirteen full‐time, school‐based practitioners from across the US participated in semi‐structured interviews. Constant‐comparative analysis was used to generate themes. Results indicated that practitioners experienced a number of systemic barriers to (e.g., heavy caseload; inconsistent district policies, priorities, and role definitions; lack of stakeholder involvement) and facilitators of (e.g., resources, graduate training and professional development) comprehensive and integrated service delivery. Participants’ perspectives regarding changes needed to expand their services focused on systemic issues as well. Implications for research and practitioners’ efforts to advocate for systems change are discussed.