Teaching robot programming to Form 3 students may enhance their interest in learning computer programming. The research plan involves dividing students into a test group that will learn programming concepts through robot programming and a control group that will learn through traditional Pascal programming. After 3 months, surveys and questionnaires will collect data on students' impressions of learning programming to analyze whether robot programming improved their interest compared to the traditional approach.
From the Education Metadata Meetup on 7/30/14 in Washington, DC - Pearson's Marlowe Johnson discusses how the conversation around metadata within Pearson has changed, and how they use metadata to support their strategic focus on efficacy.
Linear and branched programme instructionswaroophoppy
Programmed Instruction is a method of individualized instruction in which the student receives information relating to his own needs in progressive sequences but in small units. Here let us see the difference between Linear and Branched program instruction
Prediction-Improving Early Warning Systems With Categorized Course Resource U...Beste Ulus
This study aimed to find out how STEM collage students' use of different course resources in an LMS predict their final grades. They used Logistic Regression Models to estimate assosciation between resourse use and final grade. The results showed that there is a positively significant association between exam-related sources use and final grade. On the other hand, when students use lecture-related resources, then they are less likely to have good grades.
Waddington, R. J., Nam, S., Lonn, S., Teasley, S. D. (2016). Improving early warning systems with categorized course resource usage. Journal of Learning Analytics, 3(3), 263–290.
From the Education Metadata Meetup on 7/30/14 in Washington, DC - Pearson's Marlowe Johnson discusses how the conversation around metadata within Pearson has changed, and how they use metadata to support their strategic focus on efficacy.
Linear and branched programme instructionswaroophoppy
Programmed Instruction is a method of individualized instruction in which the student receives information relating to his own needs in progressive sequences but in small units. Here let us see the difference between Linear and Branched program instruction
Prediction-Improving Early Warning Systems With Categorized Course Resource U...Beste Ulus
This study aimed to find out how STEM collage students' use of different course resources in an LMS predict their final grades. They used Logistic Regression Models to estimate assosciation between resourse use and final grade. The results showed that there is a positively significant association between exam-related sources use and final grade. On the other hand, when students use lecture-related resources, then they are less likely to have good grades.
Waddington, R. J., Nam, S., Lonn, S., Teasley, S. D. (2016). Improving early warning systems with categorized course resource usage. Journal of Learning Analytics, 3(3), 263–290.
My absolute best friends im sorry if i missed some ppl but uhm yea im sorry i just noticed that i missed missy moo! uh oh oh yea and my movin pics dont work on here plus i have an empty slide for some reason
Investigation of Attitudes Towards Computer Programming in Terms of Various V...ijpla
This study aims to determine the attitudes of individuals towards computer programming in terms of
various variables. The study group consists of the students of Kastamonu University Department of
Computer Education and Instructional Technologies Teaching (CEIT), Department of Computer
Engineering, and Department of Computer Programming. Data were collected via Attitude towards
Computer Programming Scale (AtCPS).The results of this study show that students have neutral attitudes
towards computer programming in general. Male computer programming students have significantly
higher attitudes towards programming in comparison to female computer programming students. In
addition, attitude towards computer programming statistically varies by grade. The higher is grade, the
lower is attitude. The more time CEIT and computer programming students spend on computer for
programming purposes daily, the more positive attitudes they have towards programming. Attitude
significantly varies by graduated high school only among CEIT students.
INVESTIGATION OF ATTITUDES TOWARDS COMPUTER PROGRAMMING IN TERMS OF VARIOUS V...ijpla
This study aims to determine the attitudes of individuals towards computer programming in terms of
various variables. The study group consists of the students of Kastamonu University Department of
Computer Education and Instructional Technologies Teaching (CEIT), Department of Computer
Engineering, and Department of Computer Programming. Data were collected via Attitude towards
Computer Programming Scale (AtCPS).The results of this study show that students have neutral attitudes
towards computer programming in general. Male computer programming students have significantly
higher attitudes towards programming in comparison to female computer programming students. In
addition, attitude towards computer programming statistically varies by grade. The higher is grade, the
lower is attitude. The more time CEIT and computer programming students spend on computer for
programming purposes daily, the more positive attitudes they have towards programming. Attitude
significantly varies by graduated high school only among CEIT students.
E-Learning Student Assistance Model for the First Computer Programming CourseIJITE
E-Learning applied to computer programming course design is a promising area of research. The student having clear understanding of the programming constructs can apply it to solve various problems. Because of limited time and availability, the instructor can go back to some extent to cover the weaknesses of their students that hinder the understanding of the problems. As more lessons are covered, the weak students become weaker in programming. To cope up with these problems an e-learning system is devised which the student can use anywhere and at any time as a web application. It comprises of both tutoring and assessment and also provides guiding the students to error correction using back-tracking technique to refine the concepts and reattempt the programming problem.
E-LEARNING STUDENT ASSISTANCE MODEL FOR THE FIRST COMPUTER PROGRAMMING COURSE IJITE
E-Learning applied to computer programming course design is a promising area of research. The student
having clear understanding of the programming constructs can apply it to solve various problems. Because
of limited time and availability, the instructor can go back to some extent to cover the weaknesses of their
students that hinder the understanding of the problems. As more lessons are covered, the weak students
become weaker in programming. To cope up with these problems an e-learning system is devised which the
student can use anywhere and at any time as a web application. It comprises of both tutoring and
assessment and also provides guiding the students to error correction using back-tracking technique to
refine the concepts and reattempt the programming problem
E-Learning Student Assistance Model for the First Computer Programming CourseIJITE
E-Learning applied to computer programming course design is a promising area of research. The student
having clear understanding of the programming constructs can apply it to solve various problems. Because
of limited time and availability, the instructor can go back to some extent to cover the weaknesses of their
students that hinder the understanding of the problems. As more lessons are covered, the weak students
become weaker in programming. To cope up with these problems an e-learning system is devised which the
student can use anywhere and at any time as a web application. It comprises of both tutoring and
assessment and also provides guiding the students to error correction using back-tracking technique to
refine the concepts and reattempt the programming problem.
In the discovery with models method identification relationships among students behaviors and characteristics or contextual variables are key applications.
Data mining approach to predict academic performance of studentsBOHRInternationalJou1
Powerful data mining techniques are available in a variety of educational fields. Educational research is
advancing rapidly due to the vast amount of student data that can be used to create insightful patterns
related to student learning. Educational data mining is a tool that helps universities assess and identify student
performance. Well-known classification techniques have been widely used to determine student success in
data mining. A decisive and growing exploration area in educational data mining (EDM) is predicting student
academic performance. This area uses data mining and automaton learning approaches to extract data from
education repositories. According to relevant research, there are several academic performance prediction
methods aimed at improving administrative and teaching staff in academic institutions. In the put-forwarded
approach, the collected data set is preprocessed to ensure data quality and labeled student education data
is used to apply ANN classifiers, support vector classifiers, random forests, and DT Compute and train a
classifier. The achievement of the four classifications is measured by accuracy value, receiver operating curve
(ROC), F1 score, and confusion matrix scored by each model. Finally, we found that the top three algorithmic
models had an accuracy of 86–95%, an F1 score of 85–95%, and an average area under ROC curve of
OVA of 98–99.6%
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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