Learning Models in Educational Game Interactions: A Review

Educational games have now been used as innovative media and teaching strategies to achieve more effective learning and have an impact that tends to be very good in the learning process. However, it is important to know and systematically prove that the application of the learning model in the interaction of educational games is indeed feasible to be adopted and has an effect. This paper aims to present empirical evidence of the current situation regarding the application of learning models in the flow of educational game interactions. The method used is a systematic literature review by adopting three main stages, namely: 1) Planning; 2) Implementation; 3) Reporting. Then recommend the ten steps in the systematic literature review process along with the selection process through the test-retest approach. The initial search obtained 1,405,310 papers, then go through the selection stage. The selection process took place at stage B1 with the number of papers that successfully passed 198, at the B2 selection stage there were 102 papers, and we focus 75 papers that have passed a fairly rigorous screening and selection process on the quality assessment process for primary studies, used to answer research objectives and questions. We can confirm and conclude that 75 papers have applied the learning model in educational game interactions. The dominating domain is Education, the type of game that dominates is Educational Game, for the most dominating subjects are Programming, Student Learning Motivation as the most dominating impact, Experimental Design as a trial technique, the most widely used evaluation instruments are Questionnaires and Tests, a population that dominates between 79-2,645 people, and 8 papers to support learning in vocational education

Matter as Energy What Architects Need to Know

Current advances in technology and cyberspacecapacity coupled with emerging research in science education arecreating new opportunities to enhance architectural education inthe science and technology areas and prepare students foreffective collaboration with other stakeholders in the buildingindustry. The project described in this paper addresses the needfor the improvement of science and technology education andproposes that using advances in digital technology to engagestudents in interactive learning is a necessary step. One of themost promising and youngest applications of computertechnology has been in developing in educational games. Usingnew technologies to re-think the education of the architect in therelation to matter as energy reinforces the role of architecture inscience, technology and mathematics

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

A Preliminary Study: Applying Problem-Posing Learning Models on Algorithm and Flowchart Materials in Basic Programming Class

Abstract: We propose the applying of the problem-posing learning model to find out the activities and student learning outcomes in learning algorithm and flowchart material in the basic programming class. This research is a preliminary study that will be used to develop applications/systems/interactive media/games that will support the operation of the problem-posing learning model automatically in the upcoming basic programming class. The classroom action research method was used with the implementation of two cycles involving 38 students in the first semester of vocational high school. The process of applying the problem-posing learning model uses the pre-solution posing type, which requires that each student make a question of the situation that is held, where students are expected to be able to make questions related to questions previously made by the teacher, then exchange the questions to other students to solve them.  The flow of making and solving questions is that students make the main case which then completes it in the form of algorithmic answers and also a flowchart assisted by the Raptor application. By applying the problem-posing learning model, it can be concluded that in cycle 1 and cycle 2 the achievement of learning activities and outcomes tends to be good. The success of this research can provide perspective and guidance for developing basic programming applications/systems/interactive media/games that will instill the problem-posing learning model in the interaction flow and can introduce students early on the problem-posing process

The student-produced electronic portfolio in craft education

The authors studied primary school students’ experiences of using an electronic portfolio in their craft education over four years. A stimulated recall interview was applied to collect user experiences and qualitative content analysis to analyse the collected data. The results indicate that the electronic portfolio was experienced as a multipurpose tool to support learning. It makes the learning process visible and in that way helps focus on and improves the quality of learning. © ISLS.Peer reviewe

Augmented reality in architecture and construction education: state of the field and opportunities

Over the past decade, the architecture and construction (AC) industries have been evolving from traditional practices into more current, interdisciplinary and technology integrated methods. Complex and intricate digital technologies and mobile computing such as simulation, computational design and immersive technologies, have been exploited for different purposes such as reducing cost and time, improving design and enhancing overall project efficiency. Immersive technologies and augmented reality (AR), in particular, have proven to be extremely beneficial in this field. However, the application and usage of these technologies and devices in higher education teaching and learning environments are yet to be fully explored and still scarce. More importantly, there is still a significant gap in developing pedagogies and teaching methods that embrace the usage of such technologies in the AC curricula. This study, therefore, aims to critically analyse the current state-of-the-art and present the developed and improved AR approaches in teaching and learning methods of AC, addressing the identified gap in the extant literature, while developing transformational frameworks to link the gaps to their future research agenda. The conducted analysis incorporates the critical role of the AR implications on the AC students’ skillsets, pedagogical philosophies in AC curricula, techno-educational aspects and content domains in the design and implementation of AR environments for AC learning. The outcomes of this comprehensive study prepare trainers, instructors, and the future generation of AC workers for the rapid advancements in this industry

Enhancing Free-text Interactions in a Communication Skills Learning Environment

Learning environments frequently use gamification to enhance user interactions.Virtual characters with whom players engage in simulated conversations often employ prescripted dialogues; however, free user inputs enable deeper immersion and higher-order cognition. In our learning environment, experts developed a scripted scenario as a sequence of potential actions, and we explore possibilities for enhancing interactions by enabling users to type free inputs that are matched to the pre-scripted statements using Natural Language Processing techniques. In this paper, we introduce a clustering mechanism that provides recommendations for fine-tuning the pre-scripted answers in order to better match user inputs