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47 articles for “student learning outcomes”
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e-learning Platforms in Higher Education: An Analysis of Institutional Planning, Implementation and Evaluation Strategies
Abstract: This quantitative study investigates the impact of e-learning platforms on student learning outcomes in higher education, focusing on institutional planning, implementation, and evaluation strategies. A descriptive-correlational research design was employed, surveying 100 administrators, faculty, and students from various higher education institutions. The results show significant positive correlations between platform organization, user-friendliness, instructor feedback, technical support, and student motivation. Well-structured platforms with clear communication of learning objectives, quality technical support, and …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 41–49 Read article
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Virtual Reality in Education: A Transformative Tool for Enhanced Learning
Abstract: Virtual reality (VR) is a revolutionary technology in education, providing immersive and interactive experiences that can transform the learning process and enhance student engagement with educational content. This review paper provides an in-depth analysis of the applications of VR in education, exploring its effectiveness in enhancing learning outcomes, student engagement, and critical thinking skills. Additionally, the paper delves into the challenges and opportunities associated with integrating VR technology into educational …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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Physical Facilities for Learning Outcomes: A Study of Sindh Madressatul Islam University
Abstract: The physical facilities are the significant features for ideal learning outcomes. The physical environment greatly influences students' psychological, sociological, and intellectual growth, and we cannot ignore them in the postmodern world. For this purpose, the research was undertaken on physical facilities and their impacts on students’ learning outcomes at Sindh Madressatul Islam University, Karachi, Sindh, Pakistan. The study employed quantitative methodology, gathering information via surveys. There were 100 people in …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 38–45 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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Outcome Based Education and its Modifications to Suit Eastern Countries
Abstract: A higher education strategy known as “outcome-based education” (OBE) is centered on assessing the effects and consequences of learning. It has been widely adopted and followed in several countries particularly in vocational and professional education. In this research, the state of outcome-based education—which combines traditional and content-based learning methods—in educational institutions is examined. Assuring that students obtain a top-notch education that equips them for success in their future occupations is …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 01–07 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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Harnessing AI and NLP to Transform Pharma Education Personalization, Learning, and Skill Development
Abstract: Particularly with NLP technologies, it is revolutionizing pharmaceutical education, enhancing human creativity, personalizing learning, and improving student outcomes. AI models like those from Open AI’s Chat GPT are increasingly integrated into educational practices that offer a solution to issues, such as teacher shortages, resource limitations, and the inefficient use of traditional teaching methods. This paper explores the diverse ways through which AI and NLP technologies are transforming pharma education within …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 7–13 Read article
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SpecialMinds: Learning App for Visually Impaired Students
Abstract: This research aims to identify the challenges and barriers that visually impaired students encounter in the educational environment, with a focus on adaptive strategies and innovative solutions. Visually impaired students often experience difficulties in listening, speaking, reading, writing, conceptual understanding, and social communication. As one of the most excluded and discriminated groups in society, these students may feel isolated, which further impacts their learning. Given the significance of quality education …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 11–23 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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A Comprehensive Review on Teaching Students with Learning Disabilities: The Potential of VR and AR Technology
Abstract: In terms of enhancing learning experiences, the use of virtual reality (VR) and augmented reality (AR) in education has shown encouraging outcomes. These technologies offer immersive, interactive environments that are extremely beneficial to students who struggle with learning. to assess how VR and AR affect learning outcomes in general as well as motivation, engagement, and academic performance. We'll examine how these resources might be applied to support children who face …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 31–36 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Quiz Application: A Review
Abstract: Educational tools are evolving in the digital age to cater to the needs of diverse learners. Among these tools, quiz applications have emerged as a popular and effective method for enhancing learning engagement. This study explores the significance of quiz applications in education, focusing on their impact on student motivation, knowledge retention, and overall learning outcomes. Quiz applications offer several benefits over traditional learning methods. To begin with, they provide …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 16–25 Read article
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A Detailed Review on Traditional v/s Modern Education: Navigating the Path to Learning
Abstract: This abstract compares traditional and modern education methodologies, analyzing their respective approaches, strengths, and weaknesses. Traditional education, characterized by face-to-face instruction, textbooks, and standardized testing, emphasizes rote learning and adherence to established curriculum. In contrast, modern education integrates technology, interactive learning tools, and personalized approaches to foster critical thinking, creativity, and adaptability. While traditional education provides a structured framework and cultural continuity, modern education addresses diverse learning styles and prepares …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 67–74 Read article
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Online Skill-boost Platform (Eduverse)
Abstract: Eduverse is a cutting-edge, web-based educational platform developed to transform the way coding is taught and learned. It focuses on making programming more accessible, engaging, and effective by combining gamification techniques, AI-powered personalized tutoring, and hands-on coding challenges inspired by real-world problems. Unlike traditional learning environments that often rely on static lessons and limited interaction, Eduverse offers a dynamic and adaptive experience tailored to individual learning styles and skill levels. …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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A Study on the Role of Artificial Intelligence in Indian Higher Education System
Abstract: In the present era, Artificial Intelligence (AI) has been transforming learning, teaching, and engaging, by making them more personalized and efficient in every field. In Indian Higher Education system, the application of Artificial Intelligence (AI) technology is improving learning techniques, by natural language processing, machine leaning etc. by students for analyzing data, using algorithms, discovering patterns and making the predictions for outcomes; and instructors may make lessons for each student …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 08–12 Read article
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Online Learning’s Effect on Education
Abstract: This review paper, titled “Online Learning’s Effect on Education,” delves into the multifaceted impact of online learning on the educational landscape. It investigates how online learning influences students, educators, and institutions, exploring its effects on learning outcomes, pedagogical strategies, and the evolving nature of education itself. This study offers valuable insights into the potential benefits and challenges associated with online learning, shedding light on its continuously developing role in the …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article