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Current Trends in Information Technology Cover

Current Trends in Information Technology

E-ISSN: 2249-4707 | P-ISSN: 2348-7895 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Current Trends in Information Technology is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental research papers on all areas of Information Technology across multidisciplinary domains.

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Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

50

Published Articles (2024)

59.93

Days Acceptance Time

105.32

Day Publication Time

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Total Visits

Journal Information

Title: Current Trends in Information Technology
Abbreviation: ctit
Issues Per Year: 3 Issues
P-ISSN: 2348-7895
E-ISSN: 2249-4707
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/CTIT
Starting Year: 2011
Subject: Information Technology
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ctit maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Loganathan R, Professor & HOD

Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India, 562157

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Latest Articles

Ahead of Print

Campus Connect: A Digital Solution for Academic and Event Management System

This paper introduces campus connect a unified digital system developed to improve the Management and a and institutional events the platform is designed with adaptability in mind allowing it to function effectively across various educational settings such as schools colleges and universities.

Campus Connect, digital campus platform, academic management system, event management system, dual-engagement model, institutional communication, academic automation, student engagement

A Hybrid Software Engineering Teaching Model (HSETM): Integrating Traditional and Contemporary Pedagogical Approaches

Software engineering education faces a persistent dichotomy between traditional lecture-based instruction, which effectively delivers theoretical frameworks but inadequately develops practical competencies, and contemporary pedagogical approaches such as problem-based learning (PBL) and flipped learning, which enhance learner engagement but risk weakening theoretical foundations.

Software engineering education, hybrid teaching model, HSETM, flipped learning, project-based learning, experiential learning, mixed-methods research

Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction

The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem.

Personalization, explainable artificial intelligence, hybrid recommendation system, adaptive machine learning, user engagement

Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences

As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user.

Behavioral analytics, web accessibility, machine learning, adaptive interfaces, explainable AI

A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence

The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues.

Artificial intelligence (AI), AI ethics, data privacy, algorithmic bias, AI governance, transparency

Human-in-the-Loop AI in HR Decision-Making: Insights from Big 4 AI Governance Reports

The integration of artificial intelligence (AI) in human resource (HR) decision-making has transformed recruitment, performance evaluations, and talent management.

AI governance, human-in-the-loop AI, HR analytics, Big 4 consulting, algorithmic bias, ethical AI, explainable AI (XAI)
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