The Convergence of Deep Learning and ICT: Revolutionizing Student Performance Prediction DOI Open Access

L. Ashish,

G. Anitha

International Journal of Electronics and Communication Engineering, Год журнала: 2024, Номер 11(11), С. 79 - 94

Опубликована: Ноя. 30, 2024

Education includes transferring knowledge, integral judgment, and mature wisdom in addition to teaching practising certain skills. Empowering educators policymakers make creative decisions that develop better student engagement, achievement, equity education, which ultimately prepares students for future challenges opportunities, is crucial. Integrating Information Communication Technology (ICT) into education boosts the learning capabilities impact societal development, economic prosperity, individual growth. This study aims predict performance using a Deep Neural Network (DNN) optimized with feature optimization technique effectively predicting outcomes on ICT-enhanced learning. The dataset various attributes like gender, language skill, computer type, location, subject scores. evaluates effects of ICT-enabled finds critical elements impacting by thoroughly examining neural network application. proposed DNN employs sequential architecture multiple hidden layers classification accuracy 93.0%, precision 93.21%, recall an F1-score 92.91. These findings highlight model's high effectiveness grades. research underscores potential improve outcomes. It provides robust predictive tool early detection at-risk students, thereby enabling prompt targeted interventions.

Язык: Английский

Design-Based STEM Activities in Teacher Education and Its Effect on Pre-service Science Teachers’ Design Thinking Skills DOI Creative Commons
Akça Okan YÜKSEL

Journal of Science Education and Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

0
Educational Management in the Digital Age: Integrating Technology for Student Success DOI Creative Commons

Sofwan Manaf

AL-ISHLAH Jurnal Pendidikan, Год журнала: 2024, Номер 16(2)

Опубликована: Март 30, 2024

In the contemporary educational landscape, integration of technology has become imperative for fostering student success. This article explores dynamics management in digital age, emphasizing pivotal role shaping and enhancing learning environments. The study adopts a literature review methodology to systematically analyze existing research, theoretical frameworks, practical implementations related management. (from 2015-2024) covers key themes such as impact tools on pedagogy, leaders technological integration, challenges opportunities associated with managing technology-enhanced ecosystem. By synthesizing current literature, provides insights into effective strategies navigate complexities an environment conducive findings underscore need comprehensive approach that embraces catalyst innovation learning. contributes discourse management, offering valuable perspectives educators, administrators, policymakers seeking harness full potential pursuit academic excellence.

Язык: Английский

Процитировано

1
Synergizing Systems Thinking and Technology-Enhanced Learning for Sustainable Education Using the Flow Theory Framework DOI Open Access

Brina Kurent,

Stanislav Avsec

Sustainability, Год журнала: 2024, Номер 16(21), С. 9319 - 9319

Опубликована: Окт. 26, 2024

In an era where digital technologies are integral to daily life and sustainable education is increasingly critical, developing higher-order thinking skills with appropriate information communication technology (ICT) support crucial for achieving Sustainable Development Goals (SDGs). The purpose of this study was examine synergies systems technology-enhanced learning from the perspective flow theory within context education. We surveyed more than 65 pre-service preschool teachers engaged in a design, technology, engineering (DTE) course at University Ljubljana. Mapping revealed that needed regarding feedback understanding interrelationship dimension thinking—essential components Predictive mediation analyses yielded noteworthy results. Participants ICT-enhanced DTE rated their cognitive social engagement above mid-point scale, higher correlating contrast, aesthetic below scale. Experiencing state during ICT activities positively influenced thinking, particularly terms clear goals autotelic experiences. Flow thus emerges as solid framework use studying These findings underscore importance integrating into curricula enhance outcomes prepare students future challenges, thereby contributing achievement SDGs through

Язык: Английский

Процитировано

1
Human-Centered Systems Thinking in Technology-Enhanced Sustainable and Inclusive Architectural Design DOI Open Access
Stanislav Avsec, Magdalena Jagiełło-Kowalczyk, Agnieszka Żabicka

и другие.

Sustainability, Год журнала: 2024, Номер 16(22), С. 9802 - 9802

Опубликована: Ноя. 10, 2024

Human-centered systems thinking (HCST) can be seen as a promising enabler of effective Industry 5.0. This study primarily examined whether architecture students consider themselves thinkers and how this affects their design thinking, digital competency, engagement in sustainable inclusive practices. Next, also the students’ HCST profiles, stability, roles motivation, risk propensity human-centered design. Using person-oriented approach cluster analysis, sample Polish from three universities (n = 208) was classified based on self-perceived ability. Three profiles were identified, namely high, average, low HCST. A multivariate analysis variance (MANOVA) revealed that differed significantly terms competencies, while multinomial logistic regression (MLR) perceived intrinsic motivation predicted would more likely to have high profile. MLR an undefined role context education. The findings indicate it is essential recognize support with throughout It suggested change focus programs promote encourage course designers create novel tailored technology-enhanced integrated thinking.

Язык: Английский

Процитировано

0
The Convergence of Deep Learning and ICT: Revolutionizing Student Performance Prediction DOI Open Access

L. Ashish,

G. Anitha

International Journal of Electronics and Communication Engineering, Год журнала: 2024, Номер 11(11), С. 79 - 94

Опубликована: Ноя. 30, 2024

Education includes transferring knowledge, integral judgment, and mature wisdom in addition to teaching practising certain skills. Empowering educators policymakers make creative decisions that develop better student engagement, achievement, equity education, which ultimately prepares students for future challenges opportunities, is crucial. Integrating Information Communication Technology (ICT) into education boosts the learning capabilities impact societal development, economic prosperity, individual growth. This study aims predict performance using a Deep Neural Network (DNN) optimized with feature optimization technique effectively predicting outcomes on ICT-enhanced learning. The dataset various attributes like gender, language skill, computer type, location, subject scores. evaluates effects of ICT-enabled finds critical elements impacting by thoroughly examining neural network application. proposed DNN employs sequential architecture multiple hidden layers classification accuracy 93.0%, precision 93.21%, recall an F1-score 92.91. These findings highlight model's high effectiveness grades. research underscores potential improve outcomes. It provides robust predictive tool early detection at-risk students, thereby enabling prompt targeted interventions.

Язык: Английский

Процитировано

0