Hill Climb Game Play with Webcam Using OpenCV

Computer vision is a process by which we can understand how the images and videos are stored and manipulated, also it helps in the process of retrieving data from either images or videos. Computer Vision is part of Artificial Intelligence. Computer-Vision plays a major role in Autonomous cars, Object detections, robotics, object tracking, etc. OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. It comes with a highly improved deep learning (dnn ) module. This module now supports a number of deep learning frameworks, including Caffe, TensorFlow, and Torch/PyTorch. This does allow us to take our models trained using dedicated deep learning libraries/tools and then efficiently use them directly inside our OpenCV scripts. MediaPipe is a framework mainly used for building audio, video, or any time series data. With the help of the MediaPipe framework, we can build very impressive pipelines for different media processing functions like Multi-hand Tracking, Face Detection, Object Detection and Tracking, etc.

Construction of the EFL Mobile Learning Model in the Hybrid Distributed Terminal

With the integration of technology in higher education, mobile learning plays an important role in EFL classes. In order to optimize the efficiency of EFL learning, a mobile learning model in the hybrid distributed terminal is constructed. The online platform supporting both synchronous and asynchronous learning with three types of interaction helps build a blended learning model and creates a closed loop for ubiquitous online and offline learning with multiple evaluation, which also builds a community of inquiry-based learning to facilitate collaborative study and deep thinking. Aiming to improve the resource scheduling performance of learning information sharing mode, based on the traditional sharing mode hardware, the mobile learning software for the hybrid distributed terminal is thus optimized. Learning resources are mined and fused to realize the scheduling of learning information resources, and user interface management function is designed to construct the EFL mobile learning mode with the hybrid distributed terminal.

THE QUR’ANIC LEARNING SOFTWARE IN DIGITAL ERA: A THREAT TOWARDS THE VALUE OF QUR’ANIC ORTODOXY IN INDONESIA

The gadget’s software applications nowadays appear to be highly popular and its use has been elevating among gadget users. This kind of technological advance also touched the Qur’anic learning process in Indonesia. On the one hand, not only does the emergence of Qur’anic learning software stimulate children’s interest, but it also provides a lot of features that will make children quickly understand and practice the Qur’anic reciting. On the other hand, this kind of learning method can threat the value of Qur’anic orthodoxy which had been applied among traditional Muslim societies since the emergence of Islam in Indonesia. Some resources have noted that there were some sacred values and courtesies perpetuated by traditional Muslims while teaching Qur’anic reciting. This article will track the historical journey of Qur’anic learnings in Indonesia and discuss how the emergence of Qur’anic Learning software (as the logical consequence of technological improvement) can threat the existence of some ancient orthodoxies toward the Qur’an.

ULAM Headless Course Format

Current e-learning software comes with a huge technological debt and does not respond to market needs as fast as other IT segments can. The main reason is dependency on obsolete formats like SCORM that are still widely used, and which do not separate data layer from the presentation layer. There is a need from market for existence of better designed and better implemented formats.

Modeling of Pedagogical Patterns in an E-learning System

Pedagogical patterns describe teaching ideas that can be applied in different ways in teaching in different disciplines, and for different types of students. They are a tool for sharing experience and good practices between teachers. The use of pedagogical patterns in online learning is a challenge that can be met by using an appropriate software system for learning management. The article proposes a model of educational objects, suitable for software imple-mentation, which we call pedagogical pattern instances, or for short - in-stances. One instance combines specific learning content with additional fea-tures. Learning content can have different “views” that present knowledge in different ways, for example, through text files of presentations, audio or video content, interactive content, etc. Logical categories of characteristics and activities form the “aspects” of the instance, such as methodology, adap-tivity, assessment, etc. The proposed pattern instance model is flexible. It can be expanded with new features and adapted to specific goals and designs. The paper also outlines a conceptual framework of an e-learning software system using the presented model of a pattern instance.

The Efficiency of a Learning Software Compared to e-Books in Dental Education

Objectives Due to time-consuming curricular and extracurricular activities, students in dentistry and medicine can profit from efficient learning strategies. One strategy could be the preparation with individually designed educational software that embed different multimedia sources. The aim of this study was to determine the efficiency of such a program compared with an e-book similar to a traditional textbook. Materials and Methods Dentistry students of the Johannes Gutenberg-University of Mainz passed an entrance multiple-choice test on the topic of odontogenic tumors and were then randomized into two groups. Afterward, both groups had 14 days to study on the topic of odontogenic tumors either with a learning software or an e-book. A final exam was then taken and the two groups were compared. Statistical Analysis A least significant difference post hoc analysis comparing the group average values was performed. The level of significance was p <0.05. Results Seventy-one students took part in the study. While students from the first and second clinical semester showed significantly better results and improvements with the e-book, an opposite effect was observed in students from the third and fifth clinical semester with significantly better results and improvements with the software. Conclusion Depending on the clinical experience and knowledge, a multimedia educational software can help students in dentistry to enhance efficiency in the preparation for exams.

Pembelajaran Ekonomi Pada Masa Pandemi Covid-19

This study seeks to find out how economics teachers carry out online learning during the COVID-19 pandemic. This research method uses a qualitative descriptive type, while data collected using interviews with several economics teachers in the Surakarta senior high schools using WhatsApp. The data were collected using purposive and snowball sampling. The results showed that the economics teachers prepared learning instruments at the beginning of the semester. However, the instruments were only the edited instruments from the previous semester. The economics teachers only adjusted them. The instruments made were only as administrative requirements for reports to the local education office. The instruments were not implemented during the learning process. Economics teachers used several media to connect with their students such as WhatsApp Group, Google Classroom, Google Meet, and YouTube. For learning assessment, they used Google Form, Quizzzz, Quipper School, Mentimeter, Kahoot, and the school's e-learning software.

DECODING VIEWS AND SENTIMENTS OF PROGRAM HEADS TOWARDS THE SUPERVISION OF INSTRUCTION DURING THE COVID-19 PANDEMIC

The purpose of this study was to decode the hidden views and sentiments from the collated written responses of Eastern Samar State University’s Program Heads regarding supervision of instructions amidst the COVID-19 pandemic. This study utilized Exploratory Sequential Mixed Method to explore and understand the perspective or sentiments of Eastern Samar State University program heads towards supervision of instruction in the midst of the COVID-19 pandemic. Data were collected/collated from the participants indirectly using an interview questionnaire containing an open-ended question. The same were processed and analyzed using an open-source machine learning software called Orange toolbox (Demsar et al., 2013) wherein pre-processing, sentiment analysis and topic modelling built-in tools were utilized. The results showed that the most prominent words generated by the machine learning tool from the text file of responses are the words pandemic, performance, program, learning, difficult, supervision, instruction, internet, faculty, online students, teaching, delivery confusing, challenging, poor and connectivity. The dominant sentiment associated thereof lean towards negative polarity which implicate negative sentiments. Hidden topics were automatically generated by the machine which allowed the researchers to come up with the following related themes: “Impact of pandemic in the supervision of instruction of faculty and learning of students”, “Challenges in the delivery of instruction and supervision due to poor internet connectivity”, and “Strategic role of online modalities and connectivity in supervision and delivery of instruction”. There are limited researches navigating in text mining and sentiment analysis with the use of Orange toolbox particularly those that deals with supervision of instruction in a Philippine State University. There are related studies using machine learning software, but nothing like this study directed towards a specific gap in specific locale. KEYWORDS: Pandemic, Latent Semantic Indexing, Orange Toolbox, Sentiment Analysis, Thematic Analysis.