Influence of online learning skills in cyberspace

Ho, Li‐An; Kuo, Tsung‐Hsien; Lin, Bin

doi:10.1108/10662241011020833

Cited by 49 publications

(40 citation statements)

References 46 publications

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“…Obviously, systematic quality assessment has become necessary to ensure the quality delivered at the correct level to support e-learning requirements is fulfilled and accepted (Ozkan & Koseler, 2009). E-learning behaviors are affected by the quality of information, service and system (Ho, Kuo, & Lin, 2010). Innovation Diffusion Theory has been applied to explore consumers' e-service adoption.…”

Section: Literature Reviewmentioning

confidence: 99%

E-Service Quality in Higher Education and Frequency of Use of the Service

Ng¹,

Rahman²,

Ahmed³

2014

IES

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Universities have been at the forefront of online service provision. Regular evaluations and appraisals of its e-services provided to students are regularly improvised to keep pace with the rapid changes of learning technology and competitiveness of its services provided. There is a dread of research works investigating e-service quality supporting learning, research and communication and how it is related to student's frequency of use from various sources of e-service provided to students. Data were collected from 210 students through questionnaire surveys through a structured random sampling method and analyzed statistically. The dimensions for frequency of use of e-service are from learning and research, administration, coordination, evaluation and contents storage sources. This research work has developed a single dimension comprising six elements to measure the quality of e-service in higher education namely in areas of learning, research and communication support. These elements are: 1) e-service is always available, 2) overall it is very convenience to use, 3) the user interface has a well organized appearance, 4) makes it easy to find what is needed, 5) the e-service has met needs and experience, and 6) e-service assures schedule flexibility. This study has also provided empirical evidence that there are relationships between the level and frequency in the use of e-service quality supporting learning, research and communication.

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Section: Literature Reviewmentioning

confidence: 99%

E-Service Quality in Higher Education and Frequency of Use of the Service

Ng¹,

Rahman²,

Ahmed³

2014

IES

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“…People have been steadily turning to the web to improve their knowledge and skills (Ho et al, 2010) as well as for career development ( Jansen et al, 2005). What is more, job seekers are increasingly using Web 2.0 services like LinkedIn and job search sites (Bizer and Rainer, 2005).…”

Section: Introductionmentioning

confidence: 99%

An integrated e‐recruitment system for automated personality mining and applicant ranking

2012

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Purpose -The purpose of this paper is to present a novel approach for recruiting and ranking job applicants in online recruitment systems, with the objective to automate applicant pre-screening. An integrated, company-oriented, e-recruitment system was implemented based on the proposed scheme and its functionality was showcased and evaluated in a real-world recruitment scenario. Design/methodology/approach -The proposed system implements automated candidate ranking, based on objective criteria that can be extracted from the applicant's LinkedIn profile. What is more, candidate personality traits are automatically extracted from his/her social presence using linguistic analysis. The applicant's rank is derived from individual selection criteria using analytical hierarchy process (AHP), while their relative significance (weight) is controlled by the recruiter. Findings -The proposed e-recruitment system was deployed in a real-world recruitment scenario, and its output was validated by expert recruiters. It was found that with the exception of senior positions that required domain experience and specific qualifications, automated pre-screening performed consistently compared to human recruiters. Research limitations/implications -It was found that companies can increase the efficiency of the recruitment process if they integrate an e-recruitment system in their human resources management infrastructure that automates the candidate pre-screening process. Interviewing and background investigation of applicants can then be limited to the top candidates identified from the system. Originality/value -To the best of the authors' knowledge, this is the first e-recruitment system that supports automated extraction of candidate personality traits using linguistic analysis and ranks candidates with the AHP.

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“…Reio [34] reported similar results, supporting the premise that the use of pedagogy that increase self-direction in learners, must be encouraged. Similarly, Ho, Kuo and Lin [35] and Yen and Liu [36] reported that the implementation of self-directed learning in an online environment support learner success. Ho, Kuo and Lin [35] postulated that better self-directed learning habits facilitate online learning.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, Ho, Kuo and Lin [35] and Yen and Liu [36] reported that the implementation of self-directed learning in an online environment support learner success. Ho, Kuo and Lin [35] postulated that better self-directed learning habits facilitate online learning. Additionally, Yen When implementing any e-learning innovation, an essential element to consider is the supporting pedagogy ( [22], [23]).…”

Section: Introductionmentioning

confidence: 99%

Supporting Self-Directed Learning by Connectivism and Personal Learning Environments

Conradie¹

2014

IJIET

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Abstract-The traditional learning approaches (i.e. educational philosophies or paradigms) of behaviouralism, humanism, cognitivism, social learning theory and constructivism, have been the foundation of instructional design and teaching practice. Connectivism, considered a learning paradigm in its infancy by some and a learning theory by others, augurs a more intrinsic approach for learning in the 21 century. This study explores the perceptions of 76 higher education learners regarding the use of a connectivism pedagogical approach through the use of personal learning environments. Forming part of a project to evaluate the effectiveness of personal learning environments to support self-directed learning, and thus indirectly self-regulated learning, semi-structured interviews was utilized. Results obtained include improve learner motivation, engagement, collaboration and self-actualization. Of special interest was the element of self-actualization, generally associated with humanism. In addition, learners found the new learning environment challenging, requiring them to think critical about module content. Self-directed learning, supported by the pedagogical approach of connectivism and personal learning environments, is postulated to be a crucial skill set for the 21 century learner.

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Influence of online learning skills in cyberspace

Cited by 49 publications

References 46 publications

E-Service Quality in Higher Education and Frequency of Use of the Service

E-Service Quality in Higher Education and Frequency of Use of the Service

An integrated e‐recruitment system for automated personality mining and applicant ranking

Supporting Self-Directed Learning by Connectivism and Personal Learning Environments

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