Algorithmic Optimization-Based Skill Development Strategies for Vocational Education Students and Their Employability Enhancement

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract This paper adopts the questionnaire survey method to issue and collect formal questionnaires vocational education students. Then, quantitative analysis was used process 200 recovered valid data by using SPSS software verify role of each factor in influencing skill development students through Logistic binary model regression established this paper, followed inputting identified salient factors employability skills into ISM explain logical relationship hierarchical structure among factors. Finally, a correlation conducted regarding that affect students’ skills. The results showed mean values general competence, professional learning attitude, career planning confidence were 4.1895, 4.3231, 4.2255, 4.5053 points, respectively, it clear had significant effect on training. In addition, Pearson coefficients four dimensions related improvement employment level ranged from 0.1924 0.2638, their p-values less than 0.05, which shows there is positive between attitude towards employment, confidence.

Language: Английский

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Personalized learning path planning and optimization methods of vocational education combined with DQN

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Personalized learning path (PLP) planning in vocational education faces significant challenges, including static designs and an inability to efficiently process complex state spaces or provide real-time feedback. To address these limitations, this paper introduces the deep Q network (DQN) algorithm, enabling dynamic intelligent PLP that adapts learners’ evolving needs enhances outcomes. The study begins by extracting multi-dimensional features of learners from historical data, personal background information, interests, progress These are then integrated with modules goals construct a comprehensive space for PLP. Leveraging DQN model optimizes paths through reinforcement learning’s reward mechanism, dynamically adjusting PLPs based on learner feedback feature changes. results demonstrate superiority algorithm achieving personalized learning. On average, adjusts each learner’s plan 7.8 times, significantly outperforming traditional methods such as collaborative filtering (CF) particle swarm optimization (PSO). Compared CF PSO, increases average number adjustments 2.4 2.0 respectively. This highlights its ability real-time, adaptive solutions tailored individual needs. By overcoming nature conventional approaches, DQN-based not only improves efficiency engagement but also sets new benchmark educational systems. research underscores transformative potential AI-driven methodologies education, paving way more adaptive, scalable, effective solutions.

Language: Английский

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The effect of training, work environment, motivation, job satisfaction, and career satisfaction on employee productivity

Annals of Management and Organization Research, Journal Year: 2024, Volume and Issue: 6(1), P. 57 - 69

Published: Aug. 9, 2024

Purpose: The purpose of this study was to examine the effect training and work environment on employee productivity, with motivation, job satisfaction, career satisfaction as intervening variables in education sector. Research Methodology: This employs a quantitative methodology survey data collected from 300 employees working various educational institutions. Structural Equation Modeling (SEM) via Smart PLS used analyze relationships between variables. Results: findings reveal that Both environments have significant positive impact productivity. In addition, play critical roles enhancing analysis shows well-structured programs conducive significantly boost motivation levels, which, turn, improve overall Contribution: contributes literature by highlighting importance sector, particularly focusing mediating effects satisfaction. Originality: originality research lies its comprehensive approach understanding complex interplay these variables, offering valuable insights for institutions aim enhance performance These results underscore need targeted interventions improvements foster more motivated, satisfied, productive workforce

Language: Английский

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Pengaruh Gaya Mengajar Guru Terhadap Hasil Belajar Siswa SMK

Ideguru Jurnal Karya Ilmiah Guru, Journal Year: 2024, Volume and Issue: 9(3), P. 1998 - 2005

Published: Aug. 21, 2024

Penelitian ini mengkaji pengaruh gaya mengajar guru terhadap hasil belajar siswa. Permasalahan utama dalam penelitian adalah bagaimana variasi mempengaruhi siswa, yang merupakan faktor penting meningkatkan pemahaman dan penerapan pengetahuan. Tujuan dari untuk mengetahui siswa mata pelajaran Konstruksi Utilitas Gedung di SMK Negeri Lotu. Metode digunakan pendekatan kuantitatif dengan metode deskriptif. Sampel terdiri seluruh kelas XI DPIB, sebanyak 21 Data dikumpulkan menggunakan angket skala Likert dirancang mengukur dampaknya Analisis data dilakukan uji validitas, reliabilitas, serta normalitas linearitas memastikan keakuratan ketepatan data. Hasil analisis menunjukkan adanya signifikan antara menyimpulkan bahwa sesuai dapat secara signifikan. Prospek pentingnya pengembangan pengajaran inovatif kebutuhan kualitas pendidikan, khususnya pendidikan kejuruan memerlukan keterampilan praktis relevansi industri.

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