Given the considerable heterogeneity in students skills within Physica Education (PE) classes, there is a constant need for differential instruction and modification of games. In this chapter we present the game-based approach and curriculum model Game Insight (GI) and propose the 'game slope' concept. By embedding this concept in the didactical components of the GI curriculum model the PE teacher can design and teach meaningful game activities, in wich players' differing abilities and needs are met.
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This paper reports how a mathematics teacher uses a digital game for learning and teaching in the classroom. We utilize a case study approach to examine the pedagogical activities present in the lesson. The results of the study indicate that not all of the lesson objectives were met. Even though the teacher planned the lesson and the activities for the students, his lack of knowledge about gamebased pedagogy had an impact on the learning outcomes.
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This paper addresses the procedural generation of levels for collaborative puzzle-platform games. To address this issue, we distinguish types of multiplayer interaction, focusing on two-player collaboration, and identify relevant game mechanics for a puzzle-platform game, addressing player movement, interaction with moving game objects, and physical interaction involving both players. These are further formalized as game design patterns. To test the feasibility of the approach, a level generator has been implemented based on a rule-based approach, using the existing tool called Ludoscope and a prototype game developed in the Unity game engine. The level generation procedure results in over 3.7 million possible playable level variations that can be generated automatically. Each of these levels encourages or even requires both players to engage in collaborative gameplay.
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Serious games foster the acquisition of complex problem-solving skills. Assessment of such skills should be in line with instruction, and within a serious game environment its content validity should equal face-to-face assessment. Research on assessment in serious gaming has remained rather scarce. This article shows how assessment can be implemented in serious gaming in a way that assures content validity. The core of the authors’ validation method entails mapping learning activities (as contained in the game scenario) on performance indicators and outputs (as derived from formal attainment levels). They present how they have elaborated and applied the method for an assessment game for ICT managers in secondary vocational education. They describe the procedure and extent to which this assessment is content-valid compared to face-to-face assessment.
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Digital game-based learning (DGBL) can be regarded as a promising teaching pedagogy to prepare students for challenges of the 21st century. However, the incorporation of digital games into K-12 curricula remains limited. Research suggests that a comprehensive understanding of barriers and motivational factors that teachers face when implementing DGBL is needed to ensure that teachers can receive the support required. To delineate suggestions for tailored curricula on game-based pedagogy in teacher education programs, we conducted a study to gain insight into in-service teachers’ perception of DGBL in relation to their previous experience in teaching with DGBL. To achieve our goal, we examined the factors that impede and promote the implementation of DGBL among in-service teachers who are presently pursuing master's level education programs, having in mind that this group of teachers is different from pre-service teachers. Data was collected using an online survey with open- and closed-ended questions. The sample consisted of in-service teachers (n=37) who were enrolled in a master’s course in math education. The data analysis conducted was of a qualitative nature. One significant finding derived from this study is that the level of pedagogical experience in utilizing games as a teaching tool appears to be a crucial factor in understanding the inclination of in-service teachers towards game-based pedagogy. Pedagogical factors were mentioned by teachers at all stages of experience with DGBL, and differences were observed between teachers at different stages. For instance, in-service teachers with experience with DGBL (intermediate and advanced stages) were concerned about being able to maintain focus on the math concepts, the need to adapt the game lesson to students, and the ways to evaluate student learning less experienced teachers were essentially concerned about ways to control the classroom during DGBL and whether the pupils would receive adequate practice in this learning mode. Differences were also noted for other factors between teachers at different stages. Advanced stage teachers did have concerns about game appropriateness for the intended learning; teachers with less experience were concerned about the lack of games (technical factors). Dealing with an existing curriculum and high workload were common aspects for teachers with no or some experience but only teachers with some experience mentioned obstacles related to school organization (structural factors). Teachers with few and some experience referred to the lack of knowledge and competence (personal factors) and that pupils would not take the lessons with games seriously (social factors). This research supports DGBL- practice (i) by adding new knowledge on the factors that can support or constrain the integration of DGBL and its implications for the development of curricula on game-based pedagogy; (ii) by providing suggestions to design and implement meaningful curricula on digital game-based pedagogy for teaching education and training programs.
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Game-based learning (GBL) and gamification can improve the learning experience of students by making learning more fun, interesting, and motivating. However, integrating games in practice is challenging for many teachers as it requires competences that not necessarily are part of their teaching repertoire. Game-based pedagogy (GBP) refers to the teaching methods and learning processes involved in learning with games. Research stresses the need for adequate professional development and teacher education on GBP. However, there is a lack of empirical knowledge on effective methods to prepare pre-service and in-service teachers for using game-based learning. The aim of our research is to gain insight into the design of effective GBP learning experiences for teachers. The guiding research question was: What design elements of a course on GBL impacted in-service teachers' GBP competences and teaching practice? We investigated this question in the context of a teacher education program in the Fall 2023. We conducted an empirical study in which a course on GBL was designed, implemented, and evaluated in practice. The participants were 16 in-service secondary teachers from different disciplines in secondary education, from which 13 agreed to participate in this study, and three course leaders. We investigated participants’ and course leaders’ experiences, participants’ competences in GBP, the impact on participants’ teaching practice and the way design elements contributed to it. The data consisted of participant reflections, transcripts from participants and course leaders’ interviews and answers to a questionnaire. The data was collected and analysed using quantitative and qualitative methods between January and April 2024. Results reveal that in-service teachers’ improved their competences on GBP and increased their use of GBL in practice. Qualitative data analysis provides insight into the course's design elements and on participants’ learning process. This study contributes to GBP-education by offering a possible design solution and framework for developing effective teacher education.
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Purpose: This study examined the effects of a giant (4×3 m) exercising board game intervention on ambulatory physical activity (PA) and a broader array of physical and psychological outcomes among nursing home residents. Materials and methods: A quasi-experimental longitudinal study was carried out in two comparable nursing homes. Ten participants (aged 82.5±6.3 and comprising 6 women) meeting the inclusion criteria took part in the 1-month intervention in one nursing home, whereas 11 participants (aged 89.9±3.1 with 8 women) were assigned to the control group in the other nursing home. The giant exercising board game required participants to per-form strength, flexibility, balance and endurance activities. The assistance provided by an exercising specialist decreased gradually during the intervention in an autonomy-oriented approach based on the self-determination theory. The following were assessed at baseline, after the intervention and after a follow-up period of 3 months: PA (steps/day and energy expenditure/day with ActiGraph), cognitive status (mini mental state examination), quality of life (EuroQol 5-dimensions), motivation for PA (Behavioral Regulation in Exercise Questionnaire-2), gait and balance (Tinetti and Short Physical Performance Battery), functional mobility (timed up and go), and the muscular isometric strength of the lower limb muscles. Results and conclusion: In the intervention group, PA increased from 2,921 steps/day at baseline to 3,358 steps/day after the intervention (+14.9%, P=0.04) and 4,083 steps/day (+39.8%, P=0.03) after 3 months. Energy expenditure/day also increased after the intervention (+110 kcal/day, +6.3%, P=0.01) and after 3 months (+219 kcal/day, +12.3%, P=0.02). Quality of life (P<0.05), balance and gait (P<0.05), and strength of the ankle (P<0.05) were also improved after 3 months. Such improvements were not observed in the control group. The preliminary results are promising but further investigation is required to confirm and evaluate the long-term effectiveness of PA interventions in nursing homes.
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This study furthers game-based learning for circular business model innovation (CBMI), the complex, dynamic process of designing business models according to the circular economy principles. The study explores how game-play in an educational setting affects learning progress on the level of business model elements and from the perspective of six learning categories. We experimented with two student groups using our game education package Re-Organise. All students first studied a reader and a game role description and then filled out a circular business model canvas and a learning reflection. The first group, i.e., the game group, updated the canvas and the reflection in an interactive tutorial after gameplay. The control group submitted their updated canvas and reflection directly after the interactive tutorial without playing the game. The results were analyzed using text-mining and qualitative methods such as word co-occurrence and sentiment polarity. The game group created richer business models (using more waste processing technologies) and reflections with stronger sentiments toward the learning experience. Our detailed study results (i.e., per business model element and learning category) enhance understanding of game-based learning for circular business model innovation while providing directions for improving serious games and accompanying educational packages.
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An important step in the design of an effective educational game is the formulation of the to-be-achieved learning goals. The learning goals help shape the content and the flow of the entire game, i.e. they provide the basis for choosing the game’s core (learning) mechanics. A mistake in the formulation of the learning goals or the resulting choice in game mechanics can have large consequences, as the game may not lead to the intended effects. At the moment, there are many different methods for determining the learning goals; they may be derived by a domain expert, based on large collections of real-life data, or, alternatively, not be based on anything in particular. Methods for determining the right game mechanics range from rigid taxonomies, loose brainstorming sessions, to, again, not any method in particular. We believe that for the field of educational game design to mature, there is a need for a more uniform approach to establishing the learning goals and translating them into relevant and effective game activities. This paper explores two existing, non-game design specific, methods to help determine learning goals and the subsequent core mechanics: the first is through a Cognitive Task Analysis (CTA), which can be used to analyse and formalize the problem and the knowledge, skills, attitudes that it is comprised of, and the second is through the Four Components Instructional Design (4C-ID), which can be used to determine how the task should be integrated into an educational learning environment. Our goal is to see whether these two methods provide the uniform approach we need. This paper gives an overview of our experiences with these methods and provides guidelines for other researchers on how these methods could be used in the educational game design process.
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Game development businesses often choose Lua for separating scripted game logic from reusable engine code. Lua can easily be embedded, has simple interfaces, and offers a powerful and extensible scripting language. Using Lua, developers can create prototypes and scripts at early development stages. However, when larger quantities of engine code and script are available, developers encounter maintainability and quality problems. First, the available automated solutions for interoperability do not take domain-specific optimizations into account. Maintaining a coupling by hand between the Lua interpreter and the engine code, usually in C++, is labour intensive and error-prone. Second, assessing the quality of Lua scripts is hard due to a lack of tools that support static analysis. Lua scripts for dynamic analysis only report warnings and errors at run-time and are limited to code coverage. A common solution to the first problem is developing an Interface Definition Language (IDL) from which ”glue code”, interoperability code between interfaces, is generated automatically. We address quality problems by proposing a method to complement techniques for Lua analysis. We introduce Lua AiR (Lua Analysis in Rascal), a framework for static analysis of Lua script in its embedded context, using IDL models and Rascal.
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