7 results for “Game-Based Learning”

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Research ArticleOpen accessEvery word in the titleIncreasing Learning Frequency through Education Based GameDennise Adrianto, Violitta Yesmaya, Alvin ChandraIn the era of globalization, the development of the gaming world is evident very quickly, evidenced by the launch of various types of games every year, even every month. Game development that grows rapidly makes the desire to incorporate educational elements into the game application. It is also supported by the development of game engine to facilitate game development. The … …Journal of Computer Science, Vol. 11, Issue 3 · 7 May 2015 · 7,003 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsSelf-Perceived Entrepreneurship Skills for Undergraduates of Private University in MalaysiaLeow Meng Chew, Lau Siong Hoe, Tan Choo Kim, Lillian Wang Yee KiawThis study was conducted on a random group of undergraduates in one of the private university in Malaysia to assess the self-perceived entrepreneurial skills of the undergraduates. As there was no standard instrument for this purpose, a simple questionnaire consisting of twelve questions was devised and used. The results were analyzed and reported by running the data in a few … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 3 Jun 2016 · 7,489 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 666 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Metaheuristic-Optimized Feature Selection for Early-Stage Diabetes Prediction With SHAP-Guided Insight into Inﬂuential AttributesEsmay Azam Rochy, Jannatul Ferdaus, Uzzal Biswas et al.Diabetes is a metabolic disorder that causes elevated blood glucose. This long-term health condition can lead to cardiovascular diseases, stroke, kidney failure, visual impairment, neuropathy, and even death in critical cases. So, a Computer-Aided Diagnostic (CAD) system is necessary to diagnose diabetes automatically. A clinician can utilize a machine learning-based CAD system that automatically diagnoses many people. This paper will … …Journal of Computer Science, Vol. 22, Issue 2 · 24 Feb 2026 · 1,736 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAchievements and Usage of Learning Materials in Computer Science Hybrid CoursesAndrija Bernik, Danijel Radošević, Goran BubašThe term gamification is used to describe the implementation of computer game elements into non-game-based systems. We have expended our previous research and in this article we’ve introduced new concept model for comprehensive gamified approach based on literature findings. Next, we empirically tested two hypotheses regarding the learning achievement in specific topics of online university courses “3D Modeling” and “Programming … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 8,197 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGamification in E-Learning: Introducing Gamified Design Elements into E-Learning SystemsDaniel Strmečki, Andrija Bernik, Danijel RadoševićGamification is the usage of game mechanics, dynamics, aesthetics and game thinking in non-game systems. Its main objective is to increase user’s motivation, experience and engagement. For the same reason, it has started to penetrate in e-learning systems. However, when using gamified design elements in e-learning, we must consider various types of learners. In the phases of analysis and design … …Journal of Computer Science, Vol. 11, Issue 12 · 11 Feb 2016 · 11,336 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordStroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture SystemC. H. Lai, T.I. James TsayProblem statement: Human ping-pong players determine the stroke trajectory according to their experience before the ball enters their court. However, to enable a humanoid robot to select the appropriate stroke motion based on skills learned from 3D motion, important patterns must be generated to simplify the complex 3D motion. Approach: This study developed an effective strategy for teaching ping-pong skills … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,382 accessesView PDF Cite