Search results

With the advancement of novel forms of text mining techniques, new possibilities have opened up to conduct large-scale content analysis of educational research from an international and comparative perspective. Since educational research tends to convey great variation based on country-specific circumstances it constitutes a good testbed for context-rich depictions of the knowledge formation within a given research field.

In this article, the authors compare the educational research that has been produced by scholars in Singapore and Sweden. The article begins by providing a rich overview of what has characterised the formation and institutionalization of educational research in public policy. After this background they map the knowledge formation of education by means of a comparative bibliometric approach using words from abstracts, titles and keywords published in 9017 peer-reviewed articles between 2000 and 2020. First, the authors describe the dominant topics in each country using topic modelling techniques. Secondly, the authors identify the most distinguishing discourses when comparing the two countries.

The findings illustrate two ideal-types for conducting educational research: Singapore being more centralised, practically-oriented, quantitative and uncritical, whereas Sweden is decentralised, pluralistic, qualitative and critical in orientation. After having mapped out the prevailing topics among researchers working in these locations, the authors connect these findings to larger debates on rivalling knowledge traditions in educational scholarship, the role of the state and the degree of autonomy within higher education.

Through large scale text mining techniques, researchers have begun to explore the semantic composition of various research fields such as higher education research, research on lifelong learning, or social science studies. However, the bibliometric method has also been criticised for creating “mega-national comparisons” that suffer from a lack of understanding of the national ramifications of various research pursuits. The authors’ study addresses these shortcomings and provides a rich depiction of educational research in Singapore and Sweden. It zooms in on the relationship between each country's institutional histories, research priorities and semantic output.

The purpose of this paper is to gain consensus regarding the clinical priorities and tasks required in supporting communication needs in those living with semantic dementia and their families, by specialist speech and language therapists (SLTs), working in clinical practice within dementia care settings in the UK.

A nominal group technique was used, followed by further exploration and refinement of issues using a modified Delphi technique with a group of six SLTs who specialised in dementia care and who had experience of working with individuals with semantic dementia and their families.

The findings in the study demonstrate a broader scope of practice than is evident within the research literature with this client group. Therapists identified a range of psychosocial issues for both the person with semantic dementia and their family, in particular finding ways to support activity and participation in conversation and explore barriers and facilitators within the communication environment.

This represents the first study to explore everyday practice in this rarer dementia and the information gathered here will be of use to a variety of health and social care professions interested in supporting those with semantic dementia and their families.

Business models are increasingly recognized as a concept to support innovation in organizations. The implementation and operation of a new or altered business model involves the (re-)design of an organization's business processes and their successful execution. This study reviews and synthesizes the existing body of literature to guide organizations in systematically moving from a business model design to the implementation and operation of the business model through their underlying business processes.

A systematic literature review of the methods that bridge business models and business processes is performed. The selected 34 studies are classified according to the method's characteristics and the support in the design, implementation and operation of business models.

The results of the systematic review provide an overview of existing methods that organizations can adopt when moving from business model design into the implementation and operation of their business model using processes.

This work provides a comprehensive overview and detailed insight into the existing methods that align business models and business processes. It increases the understanding on how these two concepts can be synthesized to support more effective digital innovation in organizations. Based on the review results, knowledge gaps are identified and an agenda for future research bridging the fields of business models and business processes is proposed.

Deployment of knowledge management systems (KMSs) suffers from low adoption in organizational reality that is attributed to a lack of perceivable added value for people in actual work situations. Poor task/technology fit in the process of knowledge retrieval appears to be a major factor influencing this issue. Existing research indicates a lack of re-contextualizing stored information provided by KMSs in a particular situation. Existing research in the area of organizational memory information systems (OMISs) has thoroughly examined and widely discussed the topic of re-contextualization. The purpose of this paper, thus, is to examine how KMS design can benefit from OMIS research on approaches for re-contextualization in knowledge retrieval.

This paper examines OMIS literature and inductively derives a categorization scheme for KMS according to their strategy of re-contextualizing knowledge. The authors have validated the scheme validated in a multiple case study that examines the differentiatory value of the scheme for approaches with various re-contextualization strategies.

The classification scheme allows a step-by-step selection of approaches for re-contextualization of information in KMS design and development derived from OMIS research. The case study has demonstrated the applicability of the developed scheme and shows that the differentiation criteria can be applied unambiguously.

Because of the chosen case study approach for validation, the validation results may lack generalizability.

The scheme enables an informed selection of KMSs appropriate for a particular OMIS use case, as the scheme’s attributes serve as design rationale for a certain architecture or constellation of components. Developers can not only select from various approaches when designing re-contextualizaton but also come up with rationales for each candidate because of structured representation. Hence, stakeholders can be supported in a more informed way and design KMSs more effectively along organizational change processes.

The paper addresses an identified need for systematic characterization of KMS approaches and systems intending to meet the objectives of OMISs. As such, it allows streamlining further research in this field, as approaches can be judged according to their originality and positioned relative to each other.

As new English-medium universities open their doors in the Arabian Gulf andsome Arabic-medium universities switch to using English as the language ofinstruction, instructors in all disciplines face the challenge of teaching theircourses in English to students who have learned (and who are continuing tolearn) English as a foreign language. This article reviews theories and practicesfrom the field of Applied Linguistics and Teaching English as a SecondLanguage (TESOL) which can help content-area instructors understand andreach these learners.

Second language acquisition research has produced several concepts ofinterest to content-area instructors. Krashen’s theory of comprehensible inputfocuses on the language used by the instructor, while Swain’s of comprehensibleoutput emphasizes providing opportunities for students to produce language. Cummins differentiates between two types of language proficiency: BasicInterpersonal Communication Skills (BICS), which are needed for dailyinteractions, and Cognitive Academic Language Proficiency (CALP), which isrequired for academic tasks. Interlanguage and first language interference mayalso influence students’ second language production in classroom settings.

Specific classroom practices for improving students’ language comprehensionand facilitating content learning are recommended. These include modifyingspeech, using visual aids, utilizing a variety of questioning techniques, andextending the time instructors wait for students to respond. Instructors canemploy strategies, such as mind-mapping and quickwriting, to activate students’linguistic and conceptual schemata at the beginning of a lesson. Scaffoldingprovides structure and support for students to complete tasks until they are ableto realize them on their own. Collaborative/cooperative learning lowers students’affective filters and offers opportunities for participation and language practice. Graphics illustrate some of the suggested practices.

This study aims to demonstrate the application of computer-aided text analysis (CATA) software in identifying primary associations and impressions of a specified tourist destination.

The Leximancer software is applied on primary information to analyze the concepts evoked by a destination. Because no specific planning has been done for destination image marketing strategies for rural tourism in Andalusia, this study visualizes and determines clusters of the main attributes associated with this destination.

The analysis identifies the main clusters among associations and impressions of the destination that can be useful in developing strategies.

Only a target segment is studied, with a relatively small sample size.

Leximancer can not only be applied to online user-generated content, but primary information can also be mapped to generate a holistic destination image. Furthermore, identification of the relevant attributes and impressions can serve to identify unique assets to help tourism organizations develop a destination.

Several implications concerning destination marketing are outlined.

Although previous studies have applied Leximancer and other CATA software, the present research uses a new approach. Deriving the primary information on destination image using an unstructured methodology, the concepts evoked by a destination are mapped. Because there is a lack of research on rural tourism in Andalusia and its destination image, its associated attributes are studied.

本论文展示如何使用CATA分析软件来确定一个具体旅游目的地的主要关系和印象。

Leximancer软件主要用于分析一个目的地引发的相关概念。因为安达卢西亚至今未有确定的乡村旅游目的地形象营销策略, 本论文视觉化和决定与此目的地相关的主要因素群。

研究结果指出了此安达卢西亚目的地的主要相关群和印象群, 这些对于指定战略计划有很大帮助。

本论文只研究了单一市场群, 分析样本量较小。

Leximancer不仅可以用来分析用户生成内容, 还可以分析主要信息, 以展示整体旅游目的地形象。此外, 分析指出的相关因素和印象群可以用来确立独特的资源组合, 帮助旅游机构开发旅游目的地。

本论文结构指出了多个旅游目的地营销的相关启示

尽管文献中有关Leximancer和其他CATA软件的使用文章, 本论文创立了新的使用方法。基于对旅游目的地形象的主要信息进行非结构性研究, 本论文对于旅游目的地的概念进行展开论述。由于至今未有针对安达卢西亚的乡村旅游研究以及旅游目的地形象研究, 本研究论述了其相关因素。

关键词 安达卢西亚、旅游目的地形象、旅游目的地因素、CATA软件、Leximancer