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The purpose of this paper was to develop a predictor model for an online nutrition course on sugar reduction. The proposed model is based on health knowledge, healthy behavior, social support, self-efficacy, attitude and the health belief model in relation to people’s behavior within a Facebook group. Subsequently, the model can be used to design a robust online training course for human resources, thereby reducing the training costs which managers have experienced as being expensive.

A single pre-post experimental group design was used. Pre and post data were collected from 100 Facebook users using an online questionnaire, within a three-week intervention.

The results show a significant difference between pre- and post-test scores of health knowledge and healthy behavior, indicating an effective intervention. In addition, perceived barriers, attitude, self-efficacy and emotional support were significant predictors of the healthy behavior model, predicting 70 percent of healthy behavior. However, knowledge had no significant relationship with any of the three dependent variables (self-efficacy, attitude and healthy behavior) proposed.

This model has proved to be an effective intervention which can be used in online training of human resources, because the content of the training is known from the predictor model, thereby greatly reducing the training cost, since everything is done online. Moreover, the provided model and predictors show that the content to be delivered in the training program is not knowledge but perceived barriers, attitude, self-efficacy and emotional support.

This study is one of the first to propose an integrative model that suggests attitude and self-efficacy as key predictors of healthy behavior whereas knowledge is not.

Advancements in technology require that everyone is skilled with computational thinking (CT), problem-solving and computer programming skills. This study aims to examine the development of CT in problem-solving skills (PSS) and programming learning attitude by integrating LEGO robotics kits in a project-based learning course.

This study examines the development of CT in PSS and programming learning attitude by integrating LEGO robotics kits in a project-based learning course. This study consists of a single group pre-post-test research design with 32 freshmen university students. Quantitative and qualitative data were collected by pre-post-tests and recording of classroom discussions, respectively.

Therefore, this finding implies that robotics can be used to develop CT in university students; however, there is a need for designing curricula with advanced robotic kits as artificial intelligence (AI) has become more prevalent. Hence, programming knowledge learned will help students to understand the application of robots in AI.

The study creates educators' awareness that CT skills might be developed in freshmen university students through robotics. However, many still consider them toys rather than learning aids.

The purpose of this paper is to address the key components of building good digital collections.

Different categories of digital collections based on guidelines defined by the authors are presented. Issues related to public access are illustrated. A model using the FRBR entities relationships is proposed to improve the accessibility of digital cultural materials so that scholarly research can be enhanced. The number of digital collections has been increased significantly since the late 1990s, but few studies investigated how these collections were organized and managed. To attain an understanding of the current status of institutional digital collections, various collection sites were examined and analyzed. The study focused on the existence and level of richness of bibliographic descriptions provided for each image; whether a search engine was available or not; how easily the search could be performed; and how search results were organized. The presentation of search results is problematic. Applying the IFLA FRBR model to digital materials can bring a solution.

The IFLA FRBR model presents the search results hierarchically so that related materials can be easily collocated. This feature meets the end‐users needs. The attributes of work and expression entities presented in the IFLA FRBR model should be applied differently for event‐based digital cultural materials. Defining work‐ or expression‐level entities under the event or theme will be more logical than under author and/or title for cultural materials. Doing expression‐level cataloging might also work for this type of materials.

Before building a digital collection, institutions should have a well‐thought‐out and well‐planned collection management mechanism. Metadata scheme, content standards and content management system are important fundamentals. Much can be done to improve the accessibility of digital collections. The proposed FRBRized approach will make the retrieval of digital cultural objects easier.

The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature research.

The study synthesized the literature research by using a mixed method approach in which both Web of Science (WoS) and bibliographic techniques were used to retrieve the relevant data base.

The comprehensive review of the literature suggests that communication technology (CT), massive open online courseware (MOOCs), social networking sites (SNSs), blogs, real simple syndication (RSS) and YouTube are creating new possibilities and avenues of collaborative learning by transforming the traditional class and teacher-centric system.

Multiplicity of the IBL platforms and rapid technological obsolesce are some of the limitations of this paper.

The findings of this study are highly useful in developing a strategic framework to accelerate the integration of IBL platforms to make teaching learning process more interactive and informative.

The purpose of this paper is to explore what organizations can do to facilitate the retention and advancement of women professionals into top leadership positions. A social exchange framework is applied to examine ways organizations can signal support for and investment in the careers of women professionals, and ultimately the long-term work relationship.

This paper employed a qualitative methodology; specifically, semi-structured interviews with 20 women executives, in primarily the US hospitality industry, were conducted. The interviews were recorded, transcribed, and content analyzed.

Organizations are likely to strengthen the retention of their female professionals if they signal support through purposeful, long-term career development that provides a sightline to the top, and ultimately creates more female role models in senior-level positions. Organizations can also signal support through offering autonomy over how work is completed, and designing infrastructures of support to sustain professionals during mid-career stages. Findings are used to present a work-exchange model of career development.

This research is an exploratory study that is limited in its scope and generalizability.

The proposed work-exchange model can be used to comprehensively structures initiatives that would signal organizational support to – and long-term investment in – female professionals and enable them to develop their career paths within their organizations.

Through offering a work-exchange model of career development, this paper identifies components of organizational support from a careers perspective, and highlights the factors that could potentially contribute to long-term growth and retention of women professionals.