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Yasmin Shaik is seeking a challenging position where she can continue learning and contributing to an organization. She has a Bachelor's degree in Computer Science and Engineering from Vaagdevi Institute of Technology and Science. She has strong communication, analytical, and leadership skills. During her academic studies, she completed a project on defending against packet flood attacks in Disruption Tolerant Networks. She is proficient in languages like C, Java, and PHP and has experience with Windows OS and Microsoft Office packages. Beyond academics, she has won prizes for elocution and for her C aptitude.
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nTiwari
This document contains the resume of Durgesh Nandini Tiwari summarizing her objective, professional experience, academic qualifications, technical skills, projects, extra-curricular activities and personal details. She has a M.Tech in computer science from RITS Bhopal with 7.98% and B.E. in computer science from REC Bhopal with 73.4%. Her technical skills include basics of SQL, Core Java and she has knowledge of computer networking. She has completed academic projects on adaptive image steganography and detecting black hole attacks in mobile ad-hoc networks.
SPOORTHI RESU ME
Spoorthi SJ is seeking a challenging career utilizing her technical, analytical, and interpersonal skills. She is currently undergoing software testing training in Bangalore. She has a Bachelor's degree in Computer Science and has experience with manual testing and understanding the software development and test life cycles. For her academic project, she developed an intrusion detection system for mobile ad hoc networks using Bayesian theory to detect malicious nodes early.
ASST PROFF-YOGA PRIYA DHANASEKARAN
Yogapriya Dhanasekaran is seeking a challenging career in the computer science field. She has a Master's degree in Computer Science and Engineering from Gnanamani College of Technology with a 9.0 CGPA and a Bachelor's degree from Paavai Engineering College with an 8.8 CGPA. She has technical skills in operating systems, programming languages, databases, and applications. She has achieved 46th rank in the Anna University examination and has participated in workshops and conferences on topics such as cloud computing, automation testing, and network security. Her personal strengths include being sincere, hardworking, young, energetic, enthusiastic, a team worker, and a quick learner.
Gulam-CV
Gulam Mohammed is an experienced academician and lecturer in computer science with over 14 years of experience. He currently works as a lecturer at Dhofar University in Oman, where he leads academic activities and enhances teaching methods. He has strong skills in programming languages like C, C++, and C# and has experience developing software, designing systems, and implementing solutions for customers' needs. Gulam is dedicated to innovative education and aims to maximize student learning and potential. He has extensive expertise in various computer science topics and domains.
Predicting the Presence of Learning Motivation in Electronic Learning: A New ...
Research affirms that electronic learning (e-learning) has a great deal of advantages to learning process, it’s provides learners with flexibility in terms of time, place, and pace. That easiness was not be a guarantee of a good learning outcomes though they got the same learning material and course, because the fact is the outcomes was not the same from one to another and even not satisfy enough. One of prerequisite to the successful of e-learning process is the presence of learning motivation and it was not easy to identify. We propose a novel model to predicting the presence of learning motivation in e-learning using those attributes that have been identified in previous research. This model has been built using WEKA toolkit by comparing fourteen algorithms for Tree Classifier and ten-fold cross validation testing methods to process 3.200 of data sets. The best accuracy reached at 91.1% and identified four parameters to predict the presence of learning motivation in e-learning, and aim to assist teachers in identify whether student needs motivation or does not. This study also confirmed that Tree Classifier still has the best accuracy to predict and classify academic performance, it was reached average 90.48% for fourteen algorithm for accuracy value.
VISHAL (1)
Vishal Kumar Gautam is seeking a challenging career opportunity that utilizes his problem solving, communication, and technical skills. He has experience in programming languages like C, C++, C#, HTML, and Java. His projects include developing a secure web portal for secret agency communication using C# and ASP.NET, and creating a neural network pattern association tool in MATLAB. Outside of work, he is the technical head of an education focused NGO called Gunjan - Ek Goonj. Vishal has a 71% Bachelor's degree in progress and has maintained good academic scores throughout his education.
balu magendran.
Balu Magendran P is seeking an opportunity with an organization that recognizes his skill set and allows growth. He has a B.E. in Electronics and Communication Engineering with 61% and a diploma in Cloud Computing. His technical skills include CCNA, Windows servers, RHEL6, Vmware, and Citrix. He has participated in workshops on fiber optics, microcontrollers, and PCB design. Balu has also presented papers at national symposiums on topics like nanotechnology and high voltage direct current transmission.
Student perceptions and attitudes towards the software factory as a learning ...
Industry needs graduates from universities having knowledge and skills to tackle the practical issues of real life software development. To facilitate software engineering students and fulfill industry need, the Department of Information Processing Science, University of Oulu, Finland, built a Software Factory laboratory (SWF) in 2012 based on Lean concept. This study examines factors in the SWF learning environment that affect learning of a SWF course by the students. It employs amended Computer laboratory Environment Inventory (CLEI) and Attitude towards Computers and Computing Courses Questionnaire instrument (ACCC) with two additional constructs: 1) Kanban board 2) Collaborative learning. The general findings indicate that SWF learning environment, collaborative learning and Kanban board play important role in software engineering students learning, academic achievements and professional skills gaining. The findings are helpful to develop a better understanding about learning environments. The information gathered in this study can also be used to improve the software engineering learning environment.
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nTiwari
This document contains the resume of Durgesh Nandini Tiwari summarizing her objective, professional experience, academic qualifications, technical skills, projects, extra-curricular activities and personal details. She has a M.Tech in computer science from RITS Bhopal with 7.98% and B.E. in computer science from REC Bhopal with 73.4%. Her technical skills include basics of SQL, Core Java and she has knowledge of computer networking. She has completed academic projects on adaptive image steganography and detecting black hole attacks in mobile ad-hoc networks.
SPOORTHI RESU ME
Spoorthi SJ is seeking a challenging career utilizing her technical, analytical, and interpersonal skills. She is currently undergoing software testing training in Bangalore. She has a Bachelor's degree in Computer Science and has experience with manual testing and understanding the software development and test life cycles. For her academic project, she developed an intrusion detection system for mobile ad hoc networks using Bayesian theory to detect malicious nodes early.
ASST PROFF-YOGA PRIYA DHANASEKARAN
Yogapriya Dhanasekaran is seeking a challenging career in the computer science field. She has a Master's degree in Computer Science and Engineering from Gnanamani College of Technology with a 9.0 CGPA and a Bachelor's degree from Paavai Engineering College with an 8.8 CGPA. She has technical skills in operating systems, programming languages, databases, and applications. She has achieved 46th rank in the Anna University examination and has participated in workshops and conferences on topics such as cloud computing, automation testing, and network security. Her personal strengths include being sincere, hardworking, young, energetic, enthusiastic, a team worker, and a quick learner.
Gulam-CV
Gulam Mohammed is an experienced academician and lecturer in computer science with over 14 years of experience. He currently works as a lecturer at Dhofar University in Oman, where he leads academic activities and enhances teaching methods. He has strong skills in programming languages like C, C++, and C# and has experience developing software, designing systems, and implementing solutions for customers' needs. Gulam is dedicated to innovative education and aims to maximize student learning and potential. He has extensive expertise in various computer science topics and domains.
Predicting the Presence of Learning Motivation in Electronic Learning: A New ...
Research affirms that electronic learning (e-learning) has a great deal of advantages to learning process, it’s provides learners with flexibility in terms of time, place, and pace. That easiness was not be a guarantee of a good learning outcomes though they got the same learning material and course, because the fact is the outcomes was not the same from one to another and even not satisfy enough. One of prerequisite to the successful of e-learning process is the presence of learning motivation and it was not easy to identify. We propose a novel model to predicting the presence of learning motivation in e-learning using those attributes that have been identified in previous research. This model has been built using WEKA toolkit by comparing fourteen algorithms for Tree Classifier and ten-fold cross validation testing methods to process 3.200 of data sets. The best accuracy reached at 91.1% and identified four parameters to predict the presence of learning motivation in e-learning, and aim to assist teachers in identify whether student needs motivation or does not. This study also confirmed that Tree Classifier still has the best accuracy to predict and classify academic performance, it was reached average 90.48% for fourteen algorithm for accuracy value.
VISHAL (1)
Vishal Kumar Gautam is seeking a challenging career opportunity that utilizes his problem solving, communication, and technical skills. He has experience in programming languages like C, C++, C#, HTML, and Java. His projects include developing a secure web portal for secret agency communication using C# and ASP.NET, and creating a neural network pattern association tool in MATLAB. Outside of work, he is the technical head of an education focused NGO called Gunjan - Ek Goonj. Vishal has a 71% Bachelor's degree in progress and has maintained good academic scores throughout his education.
balu magendran.
Balu Magendran P is seeking an opportunity with an organization that recognizes his skill set and allows growth. He has a B.E. in Electronics and Communication Engineering with 61% and a diploma in Cloud Computing. His technical skills include CCNA, Windows servers, RHEL6, Vmware, and Citrix. He has participated in workshops on fiber optics, microcontrollers, and PCB design. Balu has also presented papers at national symposiums on topics like nanotechnology and high voltage direct current transmission.
Student perceptions and attitudes towards the software factory as a learning ...
Industry needs graduates from universities having knowledge and skills to tackle the practical issues of real life software development. To facilitate software engineering students and fulfill industry need, the Department of Information Processing Science, University of Oulu, Finland, built a Software Factory laboratory (SWF) in 2012 based on Lean concept. This study examines factors in the SWF learning environment that affect learning of a SWF course by the students. It employs amended Computer laboratory Environment Inventory (CLEI) and Attitude towards Computers and Computing Courses Questionnaire instrument (ACCC) with two additional constructs: 1) Kanban board 2) Collaborative learning. The general findings indicate that SWF learning environment, collaborative learning and Kanban board play important role in software engineering students learning, academic achievements and professional skills gaining. The findings are helpful to develop a better understanding about learning environments. The information gathered in this study can also be used to improve the software engineering learning environment.
Shivam Resume Danish
Shivam Shukla is a senior undergraduate student studying Industrial Biotechnology at Shri Mata Vaishno Devi University. He is interested in waste water treatment and fermentation. He has a GPA of 7.05 and will graduate in May 2015. He completed a summer training program with Allele Life Sciences focusing on quality control and enzyme analysis. Shivam is seeking a role that offers professional development opportunities where he can utilize his knowledge and skills.
Karthik_CV
Karthikeyan is a skilled Java and JSP developer seeking a challenging position to fully utilize his skills. He has over 2 years of experience as a developer for StepInfoTech Technologies and currently works in technical support at Raajnett Internet PVT Ltd. He has an MCA from Prist University with skills in Windows, Java, JSP, Servlet, SQL Server, Oracle, and Eclipse/NetBeans. His hobbies include indoor games and music.
Praveen_Resume
Praveen Kumar is seeking an entry-level position utilizing his engineering education and experience. He has a B.E. in Medical Electronics and Engineering from B.M.S. College of Engineering in Bangalore. He has worked on academic projects involving neonatal intensive care unit monitoring systems using technologies like Labview, Visual Basic, and wireless transmission. He is proficient in programming languages like C, C++, VHDL, and networking subjects.
Resume with exp
Mounika Pudari is seeking a creative and challenging position using cutting-edge technologies where she can learn and deliver solutions. She has a B.Tech in IT from Guru Nanak Institute of Technology with 65% and completed her intermediate education with 88%. Her skills include programming in C, Java, and knowledge of operating systems like Windows and Android as well as web technologies like HTML. She served as team leader for her major project involving the one touch deployment of a pseudo-distributed Hadoop cluster.
IRJET- Tracking and Predicting Student Performance using Machine Learning
This document describes a study that uses machine learning models to predict student performance and whether students will complete their degrees based on their academic records and other features. The study collected data on scholarship students from various universities. It applied learning analytics, discriminative, and generative classification models to the data. Experimental results showed the proposed method, which considered features like family expenditures and personal information, outperformed existing methods that primarily used academic performance, family income, and assets. The document discusses using k-means clustering and support vector machines (SVM) algorithms to analyze the data and predict student performance. It concludes that past academic performance significantly influences students' future performance and that predictive performance increases with larger datasets.
final
This document describes a Computer Aided Testing System (CATS) designed to provide insight into students' reasoning patterns. CATS administers online tests and tracks students' responses, including response times and notes made on questions. It aims to emulate paper test-taking strategies. Test questions are randomly selected from pools of various difficulty levels. Student and teacher reports link performance to patterns in students' reasoning to support reflection and improve instruction.
De carlo rizk 2010 icelw
This document summarizes a study on developing an expert system called W-CAT (Witty Cat) to analyze educational data and generate rules to provide feedback to instructors. It describes collecting student survey data on exam preparation activities and results. Association rule learning was used to generate rules from the data, such as students who viewed review videos performed poorly on exams. The study found the rules provided useful insights for instructors. Further development of W-CAT is ongoing to automate rule generation and provide human-readable explanations of results.
Sangeen resume
Sangeen is a computer science professional based in Islamabad, Pakistan with extensive experience in software development, information security analysis, and computer science teaching. He has an MS in Information Security from COMSATS University and an MSc in Computer Science. He is proficient in programming languages like C, C++, Java, Python and tools like Eclipse and Microsoft SQL. He has worked as an Information Security Analyst, teacher, and manager and participated in conferences and published papers.
RUMESHA - CV
Rumash Fathima Beevi is seeking a challenging position that utilizes her skills and experience. She has a Bachelor's degree in Computer Science Engineering from Anna University with 80% aggregate. She has over 3 years of experience as a Java/J2EE developer at Grandeur Technology, where she developed applications, maintained scripts and prototypes, and ensured design compliance. Her technical skills include languages like Java, C++, C; operating systems like Windows, Linux, Unix; and databases like Oracle, MS Access. She is interested in database management, networking, and has experience with projects in e-voting and healthcare management systems.
De carlo rizk 2010 icelw
This document summarizes a study on developing an expert system called WittyCat to provide dynamic assessments of student exam quality. Survey data and course materials were collected and analyzed using association rule learning. Rules generated from a pilot study provided insights that helped instructors improve their teaching. The current state of WittyCat automates rule generation and seeks to explain conclusions. Contributions from additional course data and feedback are requested to evaluate WittyCat's assessments.
Summary of study use kirkpatrik
This study evaluated DEPTHS, an intelligent tutoring system for teaching software design patterns. The study assessed the system's effectiveness, the accuracy of the student model, and students' subjective experiences. Software engineering students from the University of Belgrade participated in the study. Their learning was evaluated using Kirkpatrick models, including reactions via questionnaire, learning through pre- and post-tests, behavior via student and peer feedback, and results showing students found DEPTHS helped them learn about design patterns and provided useful information, feedback, and advice.
Group7_PPT_IRE
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Educational analytics skil
The document discusses the importance of educational analytics for improving quality in institutions. It outlines 4 concepts: 1) Data-driven decision making can help institutions track metrics and accountability. 2) Predictive analytics can help students choose the right courses by assessing interests and likelihood of success. 3) Learning impact should be measured for teachers through continuous assessment. 4) Digital learning allows personalized education through extensive measurement and data-driven progress updates for learners. The key benefits highlighted are informed decision making, reduced dropout rates, quality improvement, and better learner engagement.
Shilparesume
Shilpa Kushwaha is seeking a challenging career opportunity with growth potential. She has a Bachelor's degree in Electronics and Communication Engineering and technical skills in Java programming and encryption systems. She completed projects on temperature controlled fans and designing a Booth multiplier using ripple carry adders. Shilpa also has training in personality development and communication skills.
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Chandra Kant Shakya has over 5 years of experience working in education technology, sales, and customer support roles. He is currently a Cuemath Teacher Expert, facilitating live mathematics sessions for students in grades K-10. Previously he worked for Samsung Electronics as an executive providing customer support, training, and troubleshooting assistance. He also has experience in network administration from his project trainee role at CMC Limited/TCS. Chandra holds a B.Tech in Computer Science and Engineering and certifications in teaching mathematics, professional skills, and Android application development.
Java parser a fine grained indexing tool and its application
1) The document discusses an intelligent tutoring system called Knowledge Maximizer (KM) that uses fine-grained modeling of programming concepts to provide personalized exam preparation for students.
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3) An automatic tool called JavaParser was developed to index programming questions by the underlying concepts, achieving over 98% accuracy compared to manual indexing. Future work aims to improve modeling and provide more adaptive support.
Educational Data Mining to Analyze Students Performance – Concept Plan
This document discusses using data mining techniques to analyze student performance data from educational institutions. It proposes using clustering and classification algorithms like K-means and Naive Bayesian on data collected from sources like learning management systems and surveys. The goals are to classify students into performance levels, identify factors affecting performance, and make recommendations to help students improve. Clustering could group students and classification could predict performance based on attributes. Analyzing the data may provide insights to enhance guidance and outcomes. The paper presents this as a conceptual plan to apply data mining in education.
vasuresume
V. Vasudev is seeking a challenging position in a professionally managed organization. He has a Bachelor of Technology degree in computer science and engineering. His major academic project focused on secure and dependable storage services in cloud computing. He has knowledge of core and advanced Java as well as C and C++ languages.
Pushpaleela
Pushpaleela S is seeking a position that offers professional growth while being resourceful, innovative, and flexible. She has an M.E. in computer science from VELS University and a B.E. in computer science from Balaji Institute of Engineering and Technology. Her technical skills include Java, C, C++, HTML, Linux, Unix, and MySQL. She has experience with academic projects involving legal implications of employee monitoring, bug triage techniques, and advanced data security in cloud computing. She also has experience participating in conferences and publishing an IEEE paper. Her strengths include self-motivation, time management, teamwork, and a willingness to learn.
Chauhan_resume
Ajay Singh is seeking an opportunity to apply his computer science and engineering knowledge and skills. He has a B.Tech in computer science from Krishna Institute of Technology in Kanpur with over 66% marks. He has experience with programming languages like Java, C, and ASP.Net. He has also worked on academic projects involving systems like a school management system and software piracy protection. He is proficient in databases like Oracle and tools like Netbeans, Dreamweaver, and Visual Studio.
ut cv
This document contains personal and educational details of Utkarsh Prashar. It includes his contact information, objective of seeking a challenging position, computer skills in languages like C/C++ and Java and databases like mySQL. It also lists his educational qualifications from Sunderdeep Engineering College in computer science and engineering with 73.8% aggregate marks and past educational details. The document describes Utkarsh's summer training project in INFOTECH department and certification in Core Java. It provides details of his final year college project called "Virtual Doctor" developed using JSP and MySQL to help patients find the right doctor based on their symptoms.
prasathresume
Prasath P is seeking a challenging position that provides learning opportunities. He has a M.E. in Computer Science and Engineering from University College of Engineering, Trichy with a 7.1 CGPA and a B.E. in Computer Science and Engineering from Maamallan Institute of Technology, Chennai with a 7.5 CGPA. His technical skills include Python, Django, JavaScript, jQuery, MySQL, and Windows and Ubuntu. He has experience with a project involving building an intrusion detection system to evaluate trust between nodes in a mobile ad hoc network.
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Shivam Resume Danish
Shivam Shukla is a senior undergraduate student studying Industrial Biotechnology at Shri Mata Vaishno Devi University. He is interested in waste water treatment and fermentation. He has a GPA of 7.05 and will graduate in May 2015. He completed a summer training program with Allele Life Sciences focusing on quality control and enzyme analysis. Shivam is seeking a role that offers professional development opportunities where he can utilize his knowledge and skills.
Karthik_CV
Karthikeyan is a skilled Java and JSP developer seeking a challenging position to fully utilize his skills. He has over 2 years of experience as a developer for StepInfoTech Technologies and currently works in technical support at Raajnett Internet PVT Ltd. He has an MCA from Prist University with skills in Windows, Java, JSP, Servlet, SQL Server, Oracle, and Eclipse/NetBeans. His hobbies include indoor games and music.
Praveen_Resume
Praveen Kumar is seeking an entry-level position utilizing his engineering education and experience. He has a B.E. in Medical Electronics and Engineering from B.M.S. College of Engineering in Bangalore. He has worked on academic projects involving neonatal intensive care unit monitoring systems using technologies like Labview, Visual Basic, and wireless transmission. He is proficient in programming languages like C, C++, VHDL, and networking subjects.
Resume with exp
Mounika Pudari is seeking a creative and challenging position using cutting-edge technologies where she can learn and deliver solutions. She has a B.Tech in IT from Guru Nanak Institute of Technology with 65% and completed her intermediate education with 88%. Her skills include programming in C, Java, and knowledge of operating systems like Windows and Android as well as web technologies like HTML. She served as team leader for her major project involving the one touch deployment of a pseudo-distributed Hadoop cluster.
IRJET- Tracking and Predicting Student Performance using Machine Learning
This document describes a study that uses machine learning models to predict student performance and whether students will complete their degrees based on their academic records and other features. The study collected data on scholarship students from various universities. It applied learning analytics, discriminative, and generative classification models to the data. Experimental results showed the proposed method, which considered features like family expenditures and personal information, outperformed existing methods that primarily used academic performance, family income, and assets. The document discusses using k-means clustering and support vector machines (SVM) algorithms to analyze the data and predict student performance. It concludes that past academic performance significantly influences students' future performance and that predictive performance increases with larger datasets.
final
This document describes a Computer Aided Testing System (CATS) designed to provide insight into students' reasoning patterns. CATS administers online tests and tracks students' responses, including response times and notes made on questions. It aims to emulate paper test-taking strategies. Test questions are randomly selected from pools of various difficulty levels. Student and teacher reports link performance to patterns in students' reasoning to support reflection and improve instruction.
De carlo rizk 2010 icelw
This document summarizes a study on developing an expert system called W-CAT (Witty Cat) to analyze educational data and generate rules to provide feedback to instructors. It describes collecting student survey data on exam preparation activities and results. Association rule learning was used to generate rules from the data, such as students who viewed review videos performed poorly on exams. The study found the rules provided useful insights for instructors. Further development of W-CAT is ongoing to automate rule generation and provide human-readable explanations of results.
Sangeen resume
Sangeen is a computer science professional based in Islamabad, Pakistan with extensive experience in software development, information security analysis, and computer science teaching. He has an MS in Information Security from COMSATS University and an MSc in Computer Science. He is proficient in programming languages like C, C++, Java, Python and tools like Eclipse and Microsoft SQL. He has worked as an Information Security Analyst, teacher, and manager and participated in conferences and published papers.
RUMESHA - CV
Rumash Fathima Beevi is seeking a challenging position that utilizes her skills and experience. She has a Bachelor's degree in Computer Science Engineering from Anna University with 80% aggregate. She has over 3 years of experience as a Java/J2EE developer at Grandeur Technology, where she developed applications, maintained scripts and prototypes, and ensured design compliance. Her technical skills include languages like Java, C++, C; operating systems like Windows, Linux, Unix; and databases like Oracle, MS Access. She is interested in database management, networking, and has experience with projects in e-voting and healthcare management systems.
De carlo rizk 2010 icelw
This document summarizes a study on developing an expert system called WittyCat to provide dynamic assessments of student exam quality. Survey data and course materials were collected and analyzed using association rule learning. Rules generated from a pilot study provided insights that helped instructors improve their teaching. The current state of WittyCat automates rule generation and seeks to explain conclusions. Contributions from additional course data and feedback are requested to evaluate WittyCat's assessments.
Summary of study use kirkpatrik
This study evaluated DEPTHS, an intelligent tutoring system for teaching software design patterns. The study assessed the system's effectiveness, the accuracy of the student model, and students' subjective experiences. Software engineering students from the University of Belgrade participated in the study. Their learning was evaluated using Kirkpatrick models, including reactions via questionnaire, learning through pre- and post-tests, behavior via student and peer feedback, and results showing students found DEPTHS helped them learn about design patterns and provided useful information, feedback, and advice.
Group7_PPT_IRE
This document describes a project to perform semi-supervised classification of health forum messages. The team preprocessed a training dataset of 8000 labeled messages and 3000 unlabeled test messages, extracting features using count vectorization and TF-IDF. Supervised models like Naive Bayes, SVM, and CNN achieved 64.5%, 64.2%, and 62.5% accuracy respectively. A semi-supervised approach using these models on an additional 115k unlabeled messages improved accuracy to 66% with ensembling. The best individual models were CNN at 64% accuracy coupled with a DNN. Preprocessing, methods, results and conclusions are discussed along with the tools and code used.
Educational analytics skil
The document discusses the importance of educational analytics for improving quality in institutions. It outlines 4 concepts: 1) Data-driven decision making can help institutions track metrics and accountability. 2) Predictive analytics can help students choose the right courses by assessing interests and likelihood of success. 3) Learning impact should be measured for teachers through continuous assessment. 4) Digital learning allows personalized education through extensive measurement and data-driven progress updates for learners. The key benefits highlighted are informed decision making, reduced dropout rates, quality improvement, and better learner engagement.
Shilparesume
Shilpa Kushwaha is seeking a challenging career opportunity with growth potential. She has a Bachelor's degree in Electronics and Communication Engineering and technical skills in Java programming and encryption systems. She completed projects on temperature controlled fans and designing a Booth multiplier using ripple carry adders. Shilpa also has training in personality development and communication skills.
Chandra kant shakya
Chandra Kant Shakya has over 5 years of experience working in education technology, sales, and customer support roles. He is currently a Cuemath Teacher Expert, facilitating live mathematics sessions for students in grades K-10. Previously he worked for Samsung Electronics as an executive providing customer support, training, and troubleshooting assistance. He also has experience in network administration from his project trainee role at CMC Limited/TCS. Chandra holds a B.Tech in Computer Science and Engineering and certifications in teaching mathematics, professional skills, and Android application development.
Java parser a fine grained indexing tool and its application
1) The document discusses an intelligent tutoring system called Knowledge Maximizer (KM) that uses fine-grained modeling of programming concepts to provide personalized exam preparation for students.
2) An evaluation of KM compared to other course tutoring systems found that students using KM attempted more complex questions, had a higher success rate, and achieved greater knowledge gains.
3) An automatic tool called JavaParser was developed to index programming questions by the underlying concepts, achieving over 98% accuracy compared to manual indexing. Future work aims to improve modeling and provide more adaptive support.
Educational Data Mining to Analyze Students Performance – Concept Plan
This document discusses using data mining techniques to analyze student performance data from educational institutions. It proposes using clustering and classification algorithms like K-means and Naive Bayesian on data collected from sources like learning management systems and surveys. The goals are to classify students into performance levels, identify factors affecting performance, and make recommendations to help students improve. Clustering could group students and classification could predict performance based on attributes. Analyzing the data may provide insights to enhance guidance and outcomes. The paper presents this as a conceptual plan to apply data mining in education.
What's hot (17)
IRJET- Tracking and Predicting Student Performance using Machine Learning
IRJET- Tracking and Predicting Student Performance using Machine Learning
Java parser a fine grained indexing tool and its application
Java parser a fine grained indexing tool and its application
Educational Data Mining to Analyze Students Performance – Concept Plan
Educational Data Mining to Analyze Students Performance – Concept Plan
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Pushpaleela S is seeking a position that offers professional growth while being resourceful, innovative, and flexible. She has an M.E. in computer science from VELS University and a B.E. in computer science from Balaji Institute of Engineering and Technology. Her technical skills include Java, C, C++, HTML, Linux, Unix, and MySQL. She has experience with academic projects involving legal implications of employee monitoring, bug triage techniques, and advanced data security in cloud computing. She also has experience participating in conferences and publishing an IEEE paper. Her strengths include self-motivation, time management, teamwork, and a willingness to learn.
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Prasath P is seeking a challenging position that provides learning opportunities. He has a M.E. in Computer Science and Engineering from University College of Engineering, Trichy with a 7.1 CGPA and a B.E. in Computer Science and Engineering from Maamallan Institute of Technology, Chennai with a 7.5 CGPA. His technical skills include Python, Django, JavaScript, jQuery, MySQL, and Windows and Ubuntu. He has experience with a project involving building an intrusion detection system to evaluate trust between nodes in a mobile ad hoc network.
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Kashif Khan is seeking a challenging career where he can enhance his skills and contribute to an organization's success and growth. He has a Bachelor's degree in Electronics and Telecommunication Engineering from SNJB's COE Chandwad University with 58.13% marks. His technical skills include Windows, VHDL, MATLAB, Embedded C, Xillinx, and Eagle PCB Designing software. His academic project involved designing an anti-theft system using MEMS sensors and Zigbee technology. He is a team player, quick learner, and leader.
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Thirunavukkarasu J is seeking a position that allows him to learn new technologies and apply them to benefit an organization. He has a Master's degree in Computer and Communication Engineering and Bachelor's degrees in Information Technology. He has over 1.5 years of work experience as an Assistant Professor teaching computer science. His technical skills include CCNA and MCP certifications and proficiency in languages like C, C++, Java and tools like VB.NET, ASP.NET, and MySQL. He has experience with projects involving patient health monitoring using sensors and cloud computing and preventing network congestion. He has participated in various workshops and conferences and received over 88% in all academic subjects taught.
buragadda srikar
This document is a resume for B. Srikar summarizing his career objective, academic qualifications, technical skills, areas of interest, projects undertaken, co-curricular activities, extra-curricular activities, and personal details. Srikar's career objective is to work for an organization where he can gain new knowledge and skills while helping the organization grow and fulfilling his personal goals. He has a B.Tech degree in electronics and communication engineering and has skills in programming languages like C and Java as well as design tools like Cadence and Matlab. His areas of interest include analog communication and VLSI. He has participated in several projects related to security, image processing, and line following robots.
SEVVANTHI PREETHI_NEW
Sevvanthi Preethi has over 10 years of experience in data entry and possesses strong skills in accuracy and speed. She has an MCA from Madurai Kamarajar University with a CGPA of 7.0 and specialized in software testing, quality assurance, operating systems, and data structures. She is seeking a challenging role that allows her to utilize her positive problem-solving attitude and experience in competitive environments.
Abhishek_JAVA
This document contains a resume for Abhishek Shantaram Nandawdekar. It includes his contact information, career objective, educational qualifications, strengths, graduation project details on developing an accident detection and reporting system, technical skills including languages and tools, work experience as a Java developer, projects completed, extracurricular activities, and personal details.
Abhishek_JAVA
This document contains a resume for Abhishek Shantaram Nandawdekar. It includes his contact information, educational background, skills, work experience, projects and extracurricular activities. He has a BE in ECE from Visvesvaraya Technological University and is currently working as a Java Developer at Maxgen Technologies Pvt. Ltd in Pune since July 2015. His skills include Java, J2EE, HTML, CSS, MySQL, Servlets, JSP and frameworks like Hibernate. He has worked on projects like an online real estate management system and school ERP system.
Abhishek_JAVA
This document contains a resume for Abhishek Shantaram Nandawdekar. It includes his contact information, educational background receiving a BE in ECE in 2014, work experience as a Java Developer at Maxgen Technologies since 2015, technical skills including Java, J2EE, HTML, CSS, MySQL, and frameworks like Hibernate and Tomcat. It also lists extracurricular activities such as seminar presentations and serving as cricket team captain.
Praveen varma fresher_resume
P.Praveen Varma is seeking an opportunity to contribute his technical skills and knowledge to an organization. He has experience in Java programming, HTML, MySQL, data mining, CMS, Android app development, SEO, blogging, and YouTube. He completed his B.Tech in IT from VNR Vignana Jyothi Institute of Engineering & Technology in 2013 and a diploma in ECE from SMT.B Polytechnic College in 2006. His academic project involved providing security for wireless data transmission using encryption and decryption. He has strong analytical and communication skills and enjoys basketball, computer games, and Android app development in his free time.
Partha Dey (Resume)
This document is a resume for Partha Dey Ramendrapally. It summarizes his educational qualifications, skills, academic projects, extracurricular activities, and personal details. Partha has completed his MCA from RV College of Engineering in Bangalore with an aggregate percentage of 65.51% and BCA from Pailan College of Management & Technology in Kolkata scoring 76.20%. His technical skills include C, Networking, UNIX, PHP, and Software Testing. He has worked on academic projects including an Online Examination System using PHP and Content-based Text Retrieval using Vector Space Model. Partha has also done internships and received certifications in various technologies.
Partha dey (resume)
To work in a challenging and dynamic environment where I can utilize my skills and knowledge efficiently for organizational growth, gaining valuable experience along the way
Resume 2016 (2)
Sunny John is seeking a position to start his professional career and contribute to a company's success through outstanding performance. He has skills in software development, Microsoft Office, communication, and adaptability. Sunny holds a Bachelor of Engineering degree in Computer Science and has experience with languages like C, C++, HTML, and databases like MySQL. He completed an academic project on secure data retrieval for decentralized disruption-tolerant military networks. Sunny has professional skills in operating systems, languages, databases, and protocols.
shubham resume
Shubham Garg has submitted his resume highlighting his educational qualifications, technical skills, extracurricular activities, areas of interest and personal profile. He has completed his 3rd year of B.Tech from Maharishi Arvind Institute of Engineering & Technology and obtained 58% aggregate. His technical skills include basic knowledge of C/C++, Java and MS Office. He has participated in workshops on ethical hacking and communication technology. His areas of interest are in designing and software development. He describes himself as a diligent learner who believes in teamwork and has a positive and result-oriented approach.
SANDRA S DHAR NEW
Sandra S Dhar is seeking a job that allows her to fully dedicate her skills and knowledge while continuing to learn. She has expertise in functional testing, circuit design and simulation using tools like CADENCE, VERILOG, HSPICE, and MATLAB. She has published papers in international journals and completed projects including FPGA implementation of image feature extraction and classification. Her academic qualifications include an M.Tech in VLSI and Embedded Systems from MG University with a CGPA of 8.21 and a B.Tech in Electronics and Communication from Matha College of Technology. She believes in teamwork and has strengths in coordination, stress handling, confidence and self-motivation.
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yasmina4
- 1. YASMIN SHAIK +91 9490551485 shaikyasmin.cse@gmail.com To work in a challenging atmosphere, achieve higher career growth through continuous learning process and serve best for the organization. Brief Overview B.Tech (Computer Science and Engineering) from Vaagdevi institute of technology and science, JNTUA, Proddutur, Andhra Pradesh A keen communicator with excellent interpersonal skills & the ability to grasp new concepts & utilize them in a productive manner A team player with strong analytical and leadership and organisational skills. Scholastics Course Institute Percentile Year of completion B.TECH (CSE) Vaagdevi institute of technology and science, JNTUA,Proddutur. 80.3% 2014 Intermediate (M.P.C) Govt.junior college for girls kadapa 80% 2010 SSC (X) Sri balaji vidyanikethan high school,kahajipet 80% 2008 Academic Project Title: Defending against packet flood attacks in Disruption Tolerant Networks. Duration:25 days Team size: Five members Synopsis: The main aim of this project is to provide security to data transferred between different nodes in Disruption Tolerant Network by using rate limit. By using this we can easily find the attacker. By this we can protect the data from attackers. The main key role in this project is to provide security to the data. IT Forte Languages Known: C, Core Java, Php Package: MS Office Operating Systems: Windows XP
- 2. Beyond Scholastics Participated in elocution competition and won first prize. Won first prize in C –aptitude held in the college. Personal Dossier Father’s Name : S.Ghouse Mohiddin Date of Birth : 20.07.1993. Hobbies : Browsing internet. Linguistic Proficiency: English, Telugu, Hindi. Contact Address : c/o D. No: 1/340, khajipet, Kadapa - 516203. I hereby declare that all the aforesaid details mentioned are true to my knowledge and I take full responsibility of the same. DATE: (S.Yasmin) PLACE:Kadapa