Search Results - machine ((((learning programs) OR (learning programming))) OR (learning programme))
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Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
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2
An overview on common mistakes by students for introduction, basic elements and selection control structure in Fundamentals of Computer Problem Solving (CSC128) course / Naemah Abd...
Published 2020“…According to Robins et. al (2003), they stated that du Boulay (1989) describe five domains that a novice programmers must mastered in learning programming are the general orientation of a program, the notational machine model, the notation of a programming language, programming structures and pragmatics In view of the above research on the key aspects of learning to program, the following section will discuss on the background of computer problem solving course that is offered in our university to a non-major of computer course learners, what are the common mistakes that these novice programmers done according to the first three chapters in our syllabus and a summarisation of suggestion for the learners to ponder.…”
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Common mistakes in writing basic elements of C++ programming for dummies / Syarifah Adilah Mohamed Yusoff, Rozita Kadar and Saiful Nizam Warris
Published 2020“…All of the students are categories as novice programmers due to has no official learning both in programming and computer essential. …”
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Multimedia package: Learning how to program in C, plus interactive tutorial / Norsuhana Azman
Published 2003“…More over, programming languages such as C is considered an important programmers basic knowledge before moving on to other programming concepts, that makes it suitable to be conveyed as multimedia based learning tool. …”
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PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.]
Published 2023“…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.]
Published 2023“…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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7
A Machine Learning Classification Application to Identify Inefficient Novice Programmers
Published 2023“…Data mining; Graphical user interfaces; Learning algorithms; Machine learning; Nearest neighbor search; Academic performance; Application layers; Computer science students; Educational data mining; Educational Institutes; K-near neighbor; Machine learning classification; Nearest-neighbour; Novice programmer; Productive tools; Students…”
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Hardware Implementation of Intelligent Traffic Light Controller
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9
Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…Synthesia AI is a cutting-edge technology that revolutionizes students’ immersive learning experience. With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
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HELM based Reinforcement Learning for Goal Localization
Published 2016“…Hierarchical Extreme Learning Machine (H-ELM) algorithm was used to find good features for effective representation. …”
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Proceeding Paper -
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Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.]
Published 2023“…The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
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A new domain specific scripting language for automated machine learning pipeline
Published 2019“…In light of this situation, automated machine learning pipeline is highly beneficial. Research has proved that Genetic Programming is highly useful to find the best pipeline of an automated machine learning model. …”
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Effects Of Machine-learning Programming Simulator On Performance, Engagement And Perceived Motivation Of University Students In Learning Programming
Published 2024“…The two technologies—Machine Learning Programming Simulator (MLProgramming Simulator) and Non Machine Learning Programming Simulator (NoML-Programming Simulator)—were the independent variable in this study. …”
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Predictive analytics for learning performance in first-year university programming course
Published 2024“…This research aims to develop a machine learning model to predict student performance in programming courses offered within IT programs by analyzing gender, type of activity (readings, coding exercises, assignments), and frequency of access to different activities. …”
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Proceeding Paper -
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. …”
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. …”
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Development Of Glycol Skid Unit Controller Using PLC
Published 2011“…Programs to control machine operation are typically stored in non-volatile memory. …”
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Final Year Project -
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Rapid software framework for the implementation of machine learning classification models
Published 2021“…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
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Robotics in school: a stem approach for creativity and innovation
Published 2017“…This lesson is not only focussing on learning, it also shows how to design and assemble a machine or a robot. …”
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Conference or Workshop Item -
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Universal PLC trainer
Published 2025“…Students are more motivated as this learning method is engaging, portable, and systematically arranged according to theoretical topics. …”
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