The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Palee, Pongsaton; Wannapiroon, Panita; Nilsook, Prachyanun

doi:10.14569/ijacsa.2020.0111214

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…The digital learning platform is the learning center for learners and personnel to assess their performance in accordance with the standards set by the organization. The compositions of a digital learning platform [6], [10], [12], [24], [25], [26], [27] (as shown in Figure 3) are:…”

Section: The Results Of the Synthesis Documents And Researchmentioning

confidence: 99%

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

Eumbunnapong

Wannapiroon

Pornpongtechavanich

2022

Int. J. Emerg. Technol. Learn.

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Nowadays spreading of COVID-19, people are more at home and less physi-cally active in the long run, which may affect their health. Moreover, cur-rently, there are many facilities that make human life more comfortable. Various technologies are being used to assist with daily activities. Including the perception of news has changed to the perception of news through the Internet. For this reason, this research has been working about intelligent digital learning platform to enhance digital health literacy, the research objec-tives are as follows. 1) synthesize documents and international research of intelligent digital learning platform to enhance digital health literacy 2) design an intelligent digital learning platform to enhance digital health literacy 3) as-sess the suitability of intelligent digital learning platform to enhance digital health literacy. Will use ten experts as assessors. Those ten peoples are divid-ed into five computer engineering technology experts and five medical technology experts who have more than five years of related experience. The research instruments were a suitability assessment form for in-telligent digital learning platform to enhance digital health literacy. The re-sults of this research found that the intelligent digital learning platform to enhance digital health literacy, was developed and it was appropriate.

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Section: The Results Of the Synthesis Documents And Researchmentioning

confidence: 99%

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

Eumbunnapong

Wannapiroon

Pornpongtechavanich

2022

Int. J. Emerg. Technol. Learn.

Self Cite

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“…In this sense, the use of cloud computing for efficient HR information management is made technically possible by using the storage capacity and computational power of this type of platform (Chen, 2014). In addition to the more typical functionalities of an e-HRM system such as online training (Jia and Huang, 2016) and collaboration (Mocskos et al , 2018), cloud-based systems add new and much more innovative functionalities, such as the intelligent career prediction system (Palee et al , 2020), video-based information analysis systems for talent management systems (Hjort et al , 2018) and cloud platforms that allow IT project design and development to be outsourced (Alemu et al , 2020). An innovative application with an excellent future is the implementation of cloud platforms to monitor and analyze human resources through the use of wearable sensors (Vega-Barbas et al , 2019) with very diverse uses, for example, an ergonomic analysis for preventive purposes (Vega-Barbas et al , 2019).…”

Section: Resultsmentioning

confidence: 99%

Cloud computing and human resource management: systematic literature review and future research agenda

Marín

Dias

Navimipour

et al. 2021

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PurposeThis study aims to provide an overview of what characterizes the current state of research in the field of cloud computing use in human resource management (HRM) with the identification, analysis and classification of the existing literature and lines of research addressed and to provide guidance for future research.Design/methodology/approachThe systematic literature review (SLR) technique has been used to identify, select, analyze and evaluate the existing publications on cloud computing and HRM. A total of 35 papers published up to December 2020 have been obtained from the Web of Science (WoS) scientific database. The research design has allowed us to determine what characterizes the current state of research on the use of cloud computing in HRM and obtain a novel classification of the literature that identifies four lines of research and the contributions in each line and has allowed us to define the future research agenda.FindingsThe four groups into which the papers on the cloud computing-HRM relationship have been classified are: (1) studies focused on the development of cloud platforms for HRM that highlight technical aspects, (2) papers that focus on the concept of human resource elasticity, (3) papers on the adoption and/or implantation of cloud platforms for HRM and (4) studies that highlight the effects or implications of cloud platforms for HRM. This paper proposes some new opportunities for future research and presents some helpful implications from the theoretical and management perspectives.Research limitations/implicationsThis study uses only scientific articles in the WoS database with a Journal Citation Report (JCR) or SCImago Journal Rank (SJR) impact.Originality/valueThis paper provides an overview of the knowledge on cloud computing and HRM research and offers recommendations for future research.

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“…(Obergriesser & Stoeger, (2020) It relates to the skills, knowledge, memories, and relevant information that students have obtained in the past. (Palee et al, (2020) It is an proactive learning model that aim at helping learners learn how to maximize their learning ability. It makes it easy to connect with modern information to existing ideas.…”

Section: Cognitive Learningmentioning

confidence: 99%

“…Personalized process and build their self-understanding about various topic based on the experiences and knowledge that the learners have experienced. (Palee et al, 2020) Cognitive learning theory combines learning and cognition to effectively describe the processes involved in learning. (Thuneberg et al, 2018) instructors apply cognitive learning theory by supporting self-review and explaining their reasons.…”

Section: Cognitive Learningmentioning

confidence: 99%

Personalized Cognitive Counseling Process to Promote Digital Health

Suwannawong¹,

Nilsook²,

Wannapiroon³

2022

eqr

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The objective of this research was as follows: 1) to synthesise the Personalized Cognitive Counseling Process to Promote Digital Health. 2) to develop the Personalized Cognitive Counseling Process to Promote Digital Health. 3) to evaluate the Personalized Cognitive Counseling Process to Promote Digital Health. The documentary research method was used in this study. 4) to adapt the Personalized Cognitive Counseling model for Digital Health. The results showed a model of Personalized Cognitive Counseling Process to Promote Digital Health which consisted of four steps: Step 1: Synthesis of the Personalized Cognitive Counseling Process to Promote Digital Health. This includes the following three components: Personalized Learning, Cognitive Learning and Counseling. Step 2: The development of the Personalized Cognitive Counseling Process to Promote Digital Health. The researchers found that a model of Personalized Cognitive Counseling Process to Promote Digital Health consists of five processes: 1) Understanding 2) Design 3) Development 4) Choosing and Using Tools 5) Evaluation. Step 3: The evaluation of the Personalized Cognitive Counseling Process to Promote Digital Health. The results of the evaluation in terms of suitability revealed that the design process was deemed to be at the highest level. Step 4: Adapting Result of the Personalized Cognitive Counseling model for Digital Health

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The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Cited by 3 publications

References 8 publications

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

Cloud computing and human resource management: systematic literature review and future research agenda

Personalized Cognitive Counseling Process to Promote Digital Health

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The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Cited by 3 publications

References 8 publications

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

Cloud computing and human resource management: systematic literature review and future research agenda

Personalized Cognitive Counseling Process to Promote Digital Health

Contact Info

Product

Resources

About

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy