Ace C. Lagman
95 Publications
Scopus ID: 85128696024
2021 The 9th International Conference on Information Technology: IoT and Smart City, (2021), pp. 37-41
Conference Paper | Published: December 22, 2021
Abstract
Teachers have tried to teach their students by introducing text books along with verbal instructions in traditional education system. However, teaching and learning methods could be changed for developing Information and Communication Technology (ICT). It's time to adapt students with interactive learning system so that they can improve their learning, catching, and memorizing capabilities. We developed an educational resource material (animated film in Tahderiyyah Literacy App) for students of pre-school level using different Muslim practices content. The objective of this paper is to examine the impact of student's abilities to acquire new knowledge or skills through educational resource materials and blended learning that is integration of material with teacher's instructions. We visited a primary school in Manila City, Philippines for this study and conducted evaluation in different sessions with the same groups of students (i) the first session was with only educational resource material and assessment was done with 10 questionnaires, (ii) the second session was with the animated film combined with teacher's instructions and assessed with the same questionnaires. This integration of animated film with verbal instructions is a blended approach of learning. The approach greatly promoted student's ability of acquisition of knowledge and skills. Students response and perception were very positive towards the blended technique than the other methods. This resource may be appropriate method to be part of blending leaning system especially for school children.
Scopus ID: 85128629627
2021 The 9th International Conference on Information Technology: IoT and Smart City, (2021), pp. 256-261
Conference Paper | Published: December 22, 2021
Abstract
Crafting a good digital experience for children can be difficult; game designers have to consider children's cognitive and motor skill limitations, understand their target audience, create something entertaining and educational at the same time. This should also comply with national and international jurisdiction, and time appeal to parents as well. In this paper the researchers used of an educational game called Tahderiyyah Literacy App (TLA) with standard general framework which designers and developers created for children ages four to six years old. This platform has been the testing ground for the edutainment game in the field of user experience. The purpose of the paper is to observe the interactions, experience and adaptation of kindergarten pupil (learners) on a particular on the TLA based on game's user experience. TLA was design using their mother tongue which can be played on mobile devices. Focusing only to learners from Muslim Community. While the term User Experience encompasses both physical and digital experiences, the main focus for the framework is purely for digital services wherein only touch based devices are evaluated in greater detail. On the assessment process, students were observed and interviewed about the game and what they learned about numbers and letters from game they played. This process was done to help the kindergarten answers their questionnaires. Every learner that act as respondents were guided to answer the answer the questionnaires given to them. Results of using TLA to analyze an HCI factors in learning environment are described in the later part of this paper. Implications for using TLA as a design for pedagogical tool are also discussed.
Scopus ID: 85114207470
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Cities Talking is a crowdsourcing system where users can check-in in local stores (restaurants, food stalls, merchandise stores) located in the Philippines using the geolocation of their device as well as leave comments, stories, and even guides that will be processed under Lexicon Based approach of Sentiment Analysis to determine the polarity (Positive or Negative) rating of the particular location. The system will also have a leaderboard system where users can collect points and badges by checking-in on different places and be ranked up against their friends and other users. The system will also offer a recommendation system to the user where the application suggests near local restaurants, malls, or restrooms, to name a few, based on their proximity and the rating of the place. Since the main essence of the system is crowd sourcing, users can also share the safety level they feel while they are on their pin-location. Their friends can also see the score they inputted as well as the average score of the area based on the total score of all users who checked-in there. To test the effectiveness of the software, the proponents conducted a survey to I.T. specialists; using FURPS model, the result showed a weighted mean of 4.90 which corresponds to excellent.
Scopus ID: 85114200444
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Agriculture has a big contribution in the life of most of the residents of Isabela having rice as the main crop. Having a large farm cannot be easily harvested manually so using a harvester machine helps the farmers get the rice and sell immediately without hustle. Through this, researchers aim to provide an easier and more comfortable way of purchasing harvester parts to the consumers without going on the physical store. This online ordering with recommender system displays the products and suggest relevant items to consumers. The integration of augmented reality in the physical brochure shows the 3D animations and descriptions of the 10 major parts of the machine which gives the consumers the knowledge about a certain part before it will be used in farm operations. In summary, the developed system is aimed at giving agricultural marketing information to all the farm owners in Isabela as well as to help increase the sales of the company.
Scopus ID: 85114197025
Proceedings of 2021 The 11th International Workshop on Computer Science and Engineering, (2021)
Conference Paper | Published: January 1, 2021
Abstract
Environmental awareness enables us to take measures in protecting and maintaining the environment. Moreover, video games are available everywhere as a means to not only entertain, but also to develop one’s skills. They may be used as a teaching tool while still being fun to play to instill healthy habits, especially when it comes to the environment. This paper presents the development of EcoAction – a tap and drag 2D Android game that promotes environmentalism. We describe the game design of EcoAction and provide a validated questionnaire for assessing the aesthetics and gameplay. Results demonstrate that the received positive responses for its well-designed gameplay and appealing visuals. Therefore, videogames like EcoAction can be used as an awareness platform to encourage players to adopt environmental practices.
Scopus ID: 85105023525
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2020), pp. 1-6
Conference Paper | Published: December 3, 2020
Abstract
Myocardial Infarction (MI) better known as heart attack, is considered as one of the most alarming diseases that used to harm a great percentage of the male populace. However, the number of female patients suffering from the condition that was formerly known as the “old-man disease” is gradually increasing at the present time. Taking that into consideration, the researchers gathered enough data to come up with a predictive model that could be utilized in identifying the risk indicators for the mortality of female patients suffering from MI. By using different tools in data mining that contribute to a lot of great data discoveries up to date, the researchers made use of logistic regression, random forest, and decision tree to evaluate which technique can generate a diagnostic model with a higher accuracy rate. The generated prognostic models were based on a total of 9 significant attributes that were used to determine the risk indicators for the mortality of female patients suffering from MI. Upon conclusion, it turns out that among the three data mining techniques used in this study, logistic regression has the highest accuracy rate of 79% while random forest and decision tree resulted in 77% and 73% respectively. Medical practitioners could also use this study in discovering the characteristics that made up the clusters or groups of Myocardial Infarction patients that survived and characteristics that made up the clusters or groups of Myocardial Infarction patients that didn't. Determining the risk indicators of a female patient surviving MI tailors a more personalized way of treating the disease.
Scopus ID: 85090623867
International Journal of Information and Education Technology, (2020), Vol. 10, No. 10, pp. 723-727
Journal Article | Published: October 1, 2020
Abstract
According to National Center for Education Statistics, almost half of the first-time freshmen full time students who began seeking a bachelor’s degree do not graduate. The imbalance between the student enrolment and student graduation can be solved by early predicting and identifying students who are prone of not having graduation on time, so proper remediation and retention policies can be formulated and implemented by institutions. The study focused on the application of the ensemble models in predicting student graduation. Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications. The study recorded an increase of classification accuracy in predicting student graduation using ensemble models and combining multiple algorithms.
Scopus ID: 85089752037
Proceedings of the 2020 3rd International Conference on Robot Systems and Applications, (2020), pp. 82-87
Conference Paper | Published: June 14, 2020
Abstract
The study aims to integrate neural network algorithm that predicts students' vulnerability of not having graduation on time to an adaptive learning management system. Neural network is one of the popular machine learning techniques because of its learning algorithm. The learning algorithm is focused on updating weights of the edges in order to produce minimal mean squared error between actual and predicted values. The integration of this platform could lead to much efficient learning management system as LMS is mainly driven to provide individualized and personalized learning tailored to specific requirements and learning preferences. The neural network algorithm is designed to classify students with learning difficulty so that administrators can formulate remediation and academic support policies.
Scopus ID: 85083516719
International Journal of Scientific and Technology Research, (2020), pp. 1288-1291
Journal Article | Published: January 1, 2020
Abstract
Data analysis is an integral part of research. Most researchers examine their results by using graphs, tables, charts, and figures. These methods are effective, but knowledge transfer is limited because it only depends on what the authors or researchers have presented. The need to scrutinise further the given data is essential. One way of addressing this problem is to utilise a graphical user interface (GUI), wherein a user can manually choose some parameters of an extensive dataset to display and analyse. In this paper, the results of the four variants of clustering techniques, namely the Ant Colony Optimization (ACO), Gaussian Mixture Model (GMM), K-Power Means (KPM), and Kernel-Power Density-Based Estimation (KPD), in grouping the wireless multipath propagations, are evaluated through the use of a GUI. The accuracy performance of each clustering algorithm can be obtained by choosing in the GUI the corresponding channel scenario that the user would like to investigate. A deeper analysis of the clustering characteristics can also be done by selecting other parameters in the GUI. This selection gives a better understanding of the behaviour of each clustering technique and provides an effective way of presenting and analysing the different sets of data.
Scopus ID: 85083565827
International Journal of Scientific & Technology Research, (2020), Vol. 9, No. 4, pp. 2236-2238
Journal Article | Published: January 1, 2020
Abstract
The blockchain phenomena is no longer about Bitcoin or cryptocurrency, it is beyond a common protocol to make it nearly impossible to create fraudulent transaction. Blockchain based architecture overall performance is subjected to storage expenses with high computational cost. This paper designed a new consensus protocol for Blockchain using Content Addressable Pattern with the adaptation of modified SHA256 algorithm. Although government, business and other entities interest of adapting blockchain to their processes, the complexity issues and operational cost is still a challenge to date. With the newly design consensus protocol the process of validating the transaction that involves tedious mining or solving cryptographic puzzles has been eliminated and move towards using signature to authenticate the transaction. Concatenation of all these elements is a generated hash value using modified SHA256. Since the hash is secured, the transaction is secured. Thus, the implementation of off-chain chanel instead of global consensus addresses the complexity and high computational cost of blockchain technology.