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18 results for “learning contexts”
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Research ArticleOpen accessIn the abstractEvaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL ApproachMonika Nijhawan, Nidhi Sindhwani, Sarvesh Tanwar, Shishir KumarAugmented Reality (AR) is an emerging technology that enhances user perception by overlaying virtual information onto the physical world. In educational contexts, AR integration has demonstrated potential to improve learning engagement, motivation, and conceptual understanding among students. However, teachers face numerous challenges when incorporating AR technologies into classroom instruction, including technical difficulties stemming from inadequate training, resistance to technology adoption, … …Journal of Computer Science, Vol. 21, Issue 10 · 17 Dec 2025 · 2,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Indian Language Speech Recognition Systems with Language-Independent Phonetic Script: An Experimental ExplorationJose Stephan, Muthayyan Kamalam JayakumarIndia has a distinct linguistic profile that makes it extremely challenging to train Automatic Speech Recognition (ASR) systems correctly because most Indian languages have limited training material and are generally low-resource in nature. However, due to their similarity in phonemes, these languages offer an opportunity to create a single speech recognition technology. This study proposes an optimized phonetic script which … …Journal of Computer Science, Vol. 21, Issue 5 · 9 May 2025 · 6,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersistent Misconceptions in Algebra: A Critical Analysis of Errors with Implications for Teaching and Further ResearchGurudeo Anand Tularam, Omar Moalin HassanThis study explores the persistent challenges students face in learning algebra, with a focus on prevalent errors observed in secondary education worldwide. This study highlights the complex interplay between conceptual and procedural knowledge in algebraic reasoning through a comprehensive review of theoretical frameworks and empirical studies by influential scholars such as Kieran, Shard, Booth and Koedinger. As students transition from … …Journal of Social Sciences, Vol. 21, Issue 1 · 22 Mar 2025 · 10,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating the Effects of Some Key Psychological and Behavioral Theories Across a Spectrum of Research DisciplinesFelix Kabwe, Jackson PhiriThis study examines key psychological and behavioral theories to understand their impact on individual learning, decision-making, and behavior across various contexts. The study addresses the need for deeper insights into how these frameworks shape human behavior and their applications in diverse research disciplines. The frameworks explored include the Technology Acceptance Model (TAM), which forecasts technology adoption through constructs like perceived … …Current Research in Psychology, Vol. 11, Issue 1 · 3 Jan 2025 · 9,248 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,082 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeep Learning Approach for Human Action Recognition Using Gated Recurrent Unit Neural Networks and Motion AnalysisNeziha Jaouedi, Noureddine Boujnah, Med Salim BouhlelHuman action recognition is a computer vision task. The evaluation of action recognition algorithms relies on the proper extraction and learning of the data. The success of the deep learning and especially learning layer by layer led to many imposing results in several contexts that include neural network. Here the Recurrent Neural Networks (RNN) with hidden unit has demonstrated advanced … …Journal of Computer Science, Vol. 15, Issue 7 · 29 Jul 2019 · 8,018 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLearning Trajectories of Primary Student Teachers; a Cross-Cultural ComparisonPaul Gardner, Chris RixLife history methodology was used to compare the life and educational trajectories of six primary student teachers in England with their counterparts at a Malawian Teacher Training College. A semi structured interview schedule was used to elicit the students’ childhood memories including experiences of school, significant people in their lives, interactions with their teachers and influential factors in deciding to … …Journal of Social Sciences, Vol. 8, Issue 2 · 18 Feb 2012 · 8,504 accessesView PDFCite