Optimizing Vocational Education Design with Big Data and Educational Technology DOI Open Access

Zhongqi Cai

International Journal of Emerging Technologies in Learning (iJET), Год журнала: 2023, Номер 18(24), С. 164 - 179

Опубликована: Дек. 19, 2023

Amidst the rapid advancements in big data and internet technologies, profound transformations have been witnessed modern societal economic structures. Vocational education, a pivotal component within educational domain, faces challenges course design optimization. While majority of existing research focuses on utilizing technology to optimize courses, most methodologies still rely traditional analysis mining techniques, with little exploration deep learning technologies. This proposes novel strategy for Initially, theme optimization is addressed through short text clustering algorithm that utilizes linear fusion biterm topic model (BTM) global vectors word representation (GloVe) similarity. Subsequently, content planned using interest network (DIN) recommendation conjunction gated recurrent unit (GRU) time series model. study provides vocational education sector new perspective optimization, which has important theoretical practical implications.

Язык: Английский

A Review Of Text Mining Techniques: Trends, and Applications In Various Domains DOI Creative Commons

Hiba J. Aleqabie,

Mais Saad Sfoq,

Rand Abdulwahid Albeer

и другие.

Iraqi Journal for Computer Science and Mathematics, Год журнала: 2024, Номер 5(1)

Опубликована: Янв. 1, 2024

Text mining, a subfield of natural language processing (NLP), has received considerable attention in recent yearsdue to its ability extract valuable insights from large volumes unstructured textual data. This review aims toprovide comprehensive evaluation the applicability text mining techniques across various domains andindustries.The starts off with dialogue basic ideas and methodologies that are concerned contentmining together preprocessing, feature extraction, machine learning algorithms.Furthermore, this survey highlights challenges faced at some stage implementing content miningstrategies. Additionally, explores emerging tendencies possibilities text-mining research. Itdiscusses advancements deep models for evaluation, integration different AI technologies likeimage or speech recognition multimodal analysis, utilization domain-unique ontologies information graphsfor more desirable facts, incorporation explainable strategies improveinterpretability. The findings overview analyzed identify common developments patterns textmining packages extraordinary domain names.The consequences paper will advantage researchers by means imparting updated expertise modernpractices mining. it manual practitioners selecting suitable theirunique application names while addressing capacity-demanding situations.

Язык: Английский

Процитировано

3
Global Initiatives Towards Regulatory Frameworks for Artificial Intelligence (AI) in Higher Education DOI Creative Commons
Mehul Mahrishi, Asad Abbas, Mohammad Khubeb Siddiqui

и другие.

Digital Government Research and Practice, Год журнала: 2024, Номер unknown

Опубликована: Июнь 12, 2024

Artificial intelligence (AI) integration into education has received significant global attention, sparking a need for comprehensive regulatory frameworks governance. In this commentary, we first examine the role of AI in and how it is integrated with teaching learning process. It also discusses impact on higher through specific case studies tries to illuminate current/emerging trends, challenges, potential future directions. Furthermore, highlights insights from initiatives, policy frameworks, ethical standards adopted by prominent organizations govern education. The study concludes that optimal use these apps can only be harnessed proper transparency balance.

Язык: Английский

Процитировано

3
Using Text Mining and Tokenization Analysis to Identify Job Performance for Human Resource Management at the University of Phayao DOI
Wongpanya S. Nuankaew, Ronnachai Thipmontha, Phaisarn Jeefoo

и другие.

Communications in computer and information science, Год журнала: 2023, Номер unknown, С. 572 - 584

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

2
WhatsApp-Based Cloud Service Chatbot Application for Emergencies or Disasters DOI Open Access
Oscar Peña-Cáceres, Anthony Paul Távara Ramos,

Toefilo Correa-Calle

и другие.

Journal of Advances in Information Technology, Год журнала: 2024, Номер 15(3), С. 435 - 445

Опубликована: Янв. 1, 2024

Climate change and its effects have led to the presence of disruptive dynamic climate events.Piura is geographically most affected region Peru by El Niño phenomenon.The limited technological means communication between local authority community generated decisions that are not very acceptable population.The purpose study was develop a Chatbot focused on WhatsApp, ManyChat, Google Sheets services facilitate referral consultation relevant information in emergency or disaster situations considering particularities limitations population Piura, Peru.To achieve this objective, following phrases were proposed: (1) defining establishing types conversations using logical, intuitive, friendly approach; (2) designing implementing specific functionalities required users send consult through Whatsapp platform service; 3) evaluating refining terms effectiveness acceptance during situations.The results highlight solution as digital alternative improves coordination Piura.The optimizes incident management provides efficient responses with levels satisfaction.

Язык: Английский

Процитировано

0
Quality Optimizing Teaching Decisions in Flipped Classrooms Through Data-Driven Strategies DOI Open Access
Lihong Yang

International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2024, Номер 18(16), С. 38 - 53

Опубликована: Авг. 27, 2024

In the context of digitalized educational research, rapid advancement internet technologies and big data has catalyzed transformation traditional teaching models. The flipped classroom, recognized for its flexibility efficiency, garnered significant attention. However, challenge scientifically optimizing decisions in classrooms to maximize outcomes remains critical. Previous studies have achieved some progress within classrooms, yet they often suffer from a lack methodological diversity, inadequate consideration multi-level constraints, struggle adapt dynamic environments. Addressing these deficiencies, this research introduces hybrid evolutionary algorithm combining differential evolution greedy backtracking. Defined classified constraints classroom decisions, construction constraint networks, creation decision spaces are transformed solved through algorithm, offering systematic optimization strategy. Case analysis confirms effectiveness practicality proposed method, aiming bolster decision-making advance development teaching.

Язык: Английский

Процитировано

0
The Impact of Educational Informatics on School Management Decision-Making in the Context of Big Data DOI Open Access

Zhongqi Cai

International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2024, Номер 18(15), С. 48 - 62

Опубликована: Авг. 12, 2024

In the domain of private education, particularly vocational school management encounters a complex and variable environment with diverse demands. As advancement educational informatics progresses, schools have accumulated substantial amount data, including student learning behavior, teaching classroom utilization statistics. However, efficient these data for scientific decisions to enhance quality education resource efficiency presents an urgent challenge. The study impacts on decision-making is significant importance. It aids administrators in comprehensively understanding analyzing allocation usage resources, thereby enhancing further promoting development informatics. Despite some progress analysis methods within informatics, deficiencies remain. Traditional often overlook comprehensive considerations spatiotemporal failing accurately reflect dynamic changes resources. Existing methods, predominantly based single-agent models, lack studies multi-agent collaborative decision-making, resulting suboptimal decision outcomes. This comprises three main components: first, modeling model; second, intelligent framework under reinforcement mechanism; third, implementation method learning. Through investigations, nature are enhanced, providing new ideas other domains.

Язык: Английский

Процитировано

0
Optimizing Vocational Education Design with Big Data and Educational Technology DOI Open Access

Zhongqi Cai

International Journal of Emerging Technologies in Learning (iJET), Год журнала: 2023, Номер 18(24), С. 164 - 179

Опубликована: Дек. 19, 2023

Amidst the rapid advancements in big data and internet technologies, profound transformations have been witnessed modern societal economic structures. Vocational education, a pivotal component within educational domain, faces challenges course design optimization. While majority of existing research focuses on utilizing technology to optimize courses, most methodologies still rely traditional analysis mining techniques, with little exploration deep learning technologies. This proposes novel strategy for Initially, theme optimization is addressed through short text clustering algorithm that utilizes linear fusion biterm topic model (BTM) global vectors word representation (GloVe) similarity. Subsequently, content planned using interest network (DIN) recommendation conjunction gated recurrent unit (GRU) time series model. study provides vocational education sector new perspective optimization, which has important theoretical practical implications.

Язык: Английский

Процитировано

1