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362 articles for “feedback”
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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Design and Analysis of Source Current Effect on Preamplifier-Positive Feedback-based CMOS Comparator Using 90 nm Technology
Abstract: One of the most important and essential components of the data converter circuit is the comparator and this paper presents the implementation and characterization of the basic and simplest CMOS comparator in 90 nm technology. Once the technology scales down, the design and implementation becomes an essential issue at sub-micron and deep-sub-micron technology. The behavior of the threshold voltage in the CMOS is not a linear quantity when the parameters …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 3, 2013 · pp. 15–26 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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The Role of AI-Powered Assessment Tools in Improving Educational Feedback in Nigeria
Abstract: Educational systems in Nigeria face a persistent challenge in delivering high-quality, timely, and personalized feedback, due primarily to large class sizes, heavy teacher workloads, and reliance on traditional assessment methods. This study investigates the potential of integrating Artificial Intelligence (AI)-powered assessment tools to overcome these systemic barriers and improve the quality of educational feedback within the Nigerian secondary school context. Employing a quantitative cross-sectional survey design, data was collected from …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 31–41 Read article
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A Survey of Haptic Feedback Integration in Mobile Devices
Abstract: “HAPTICS is a technique that gives virtual environments a tactile element. With haptic interfaces, we may create the impression that we are feeling surfaces, manipulating virtual clay, or moving objects around on a computer in addition to seeing them. Because touch is the brain's most powerful learning mechanism—more so than sight or sound—the new technology has enormous potential for use in education. Using haptic technology is similar to using a …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 1–11 Read article
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Mathematical Derivation and Stability Analysis of a Coupled Neutron Kinetics–Thermal Feedback Model for Nuclear Reactor Safety
Abstract: Nuclear reactor safety assessment requires accurate characterization of the coupled interaction between neutron population dynamics and thermal feedback during steady-state operation and transient conditions. This study develops a mathematically derived coupled neutron kinetics–thermal feedback model for analysing reactor stability and transient behaviour. The formulation integrates point reactor kinetics with delayed-neutron precursor dynamics, fuel-temperature evolution, coolant- temperature variation, and temperature-dependent reactivity feedback. The reactor is represented as a nonlinear dynamical system …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Feedback Based Three Finger Robotic Gripper
Abstract: This research presents the development and validation of a novel three-finger robotic gripper system enhanced with force feedback capabilities. Leveraging Force-Sensing Resistor (FSR) sensors and servo actuators, the gripper is engineered to dynamically adjust its grasp based on real-time force feedback. Through a series of iterative design iterations and experimental validation, the gripper demonstrates robustness and adaptability in various gripping scenarios. The integration of force feedback allows the gripper to …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 11–17 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Smart Polymer Composite Scaffolds for Tissue Engineering with Integrated Machine Learning Feedback
Abstract: Another potential solution to improving the results of tissue engineering is smart polymer composite scaffolds, which are capable of dynamic adaptation to changing biological factors, but typical scaffolds cannot change dynamically. This paper suggests a comprehensive system to integrate biodegradable polymer composite scaffolds with sensing and machine learning-based feedback to allow the real-time monitoring and active regulation of tissue regeneration events. The system uses biocompatible materials of PLA/PCL composite of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment & Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI- powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 Read article
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SpeakSense: AI Powered Interview Analayzer and Feedback System
Abstract: The increasing competition in the job market has made effective interview performance a critical skill for students and professionals. However, many candidates struggle with communication clarity, confidence, and structured responses due to the absence of personalized and objective feedback during interview preparation. To address this challenge, this paper presents SpeakSense, an AI-powered interview analyser and feedback system designed to simulate real-world interview scenarios and assist candidates in improving their interview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 · pp. 16–24 Read article
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AI-Enabled Feedback Management for Enhancing Education
Abstract: Institutions are becoming more aware of the importance of student input in improving learning experiences in the current educational environment. However, the intricate and complex patterns found in this feedback are frequently missed by conventional techniques like manual reviews and simple statistics. Our proposal suggests a novel method for analyzing student input and more accurately predicting sentiment by utilizing Long Short-Term Memory (LSTM) algorithms. We can learn more about student …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 21–27 Read article
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A study on Bridging Chemical Transformation and Climate Feedbacks in the Earth System
Abstract: The atmosphere operates as a vast and complex chemical reactor, where minute-scale transformations exert profound influence on planetary-scale climate stability. This research investigates the multi-scale coupling between reactive tropospheric chemistry and large-scale climate feedbacks, challenging traditional modeling approaches that often divorce chemical kinetics from dynamic processes. By integrating high-resolution chemical transport models (CTMs) with comprehensive Earth System Models (ESMs), we map the flow of energy and matter from the molecular …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 1–8 Read article
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Implementing State Feedback Controller on Three-Tank Mixing Process
Abstract: This paper mainly focuses on the modeling and designing of state feedback with integral controller on three-tank mixing process. The main purpose of this paper is to compare the control performance between state feedback and PID controller that is designed with relay feedback method. The performance of the state feedback controller has been carried out and found satisfactory in terms of settling time, peak overshoot, rise time and overall performance. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 3, 2013 · pp. 1–6 Read article
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Modeling and Design of State Feedback with Integral Controller for TRMS (Twin-Rotor MIMO System)
Abstract: This paper presents the modeling and design of state feedback with integral controller on twin-rotor MIMO system. In this, two SISO systems are considered (i) main rotor and (ii) tail rotor. Main Rotor is used to control the pitch axis and the tail Rotor is used to control the yaw axis. By using the state feedback, both the axis are controlled as desired. The main aim of this paper is …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 3, 2013 · pp. 17–25 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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IoT-Based Smart Stick for the Visually Impaired: Real-Time Obstacle Detection and Auditory Feedback System
Abstract: The smart stick is designed to assist visually impaired individuals by helping them detect obstacles in their surroundings without relying solely on physical contact. The device is equipped with sensors that continuously scan the path ahead of the user. When an obstacle is detected, the sensors convert the information into real-time audio signals that are delivered through headphones. These audio alerts allow users to understand their environment more clearly and …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 29–35 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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Design of Full State-feedback Controller for Implementation on a Coupled Tank Process
Abstract: A typical coupled tank process has the difficulty in controller design because of assumed nonlinear flow resistance and interaction between tanks. This paper deals with design methodology of full state feedback controller with set point gain and the performance of which is compared with Zeigler-Nichols (ZN) tuned proportional plus integral plus derivative (PID) controller for servo response. The state feedback controller with set point gain yields better performance compared to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 3, 2015 · pp. 18–24 Read article