This paper discusses two studies - the one in a business context, the other in a university context - carried out with expert educational designers. The studies aimed to determine the priorities experts claim to employ when designing competence-based learning environments. Designers in both contexts agree almost completely on principles they feel are important. Both groups emphasized that one should start a design enterprise from the needs of the learners, instead of the content structure of the learning domain. However, unlike business designers, university designers find it extremely important to consider alternative solutions during the whole design process. University designers also say that they focus more on project plan and desired characteristics of the instructional blueprint whereas business designers report being more client-oriented, stressing the importance of "buying in" the client early in the process.
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This quasi-experimental study examines the effect of short instruction videos on students’ business statistics learning. Two hundred and thirty-one Dutch students attended 6-week online seminars on Business Statistics. One hundred and nineteen students were in an experimental group, and 112 in a control group. Students in the experimental group watched short instructional videos and studied online quizzes at their own pace. In the control group, students followed teachers’ instructions throughout the seminars. It was found students watching short videos significantly outperformed those following teachers’ virtual instruction. Short videos were especially useful for those who were good at math. The research sheds light on the design of hybrid learning, particularly for business statistics education at the university level.
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Intreerede In verkorte vorm uitgesproken bij aanvaarding van de positie van lector Design-Based Education aan NHL Stenden Hogeschool op donderdag 14 april 2022.
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Author supplied from the article: ABSTRACT Increasing global competition in manufacturing technology puts pressure on lead times for product design and production engineering. By the application of effective methods for systems engineering (engineering design), the development risks can be addressed in a structured manner to minimise chances of delay and guarantee timely market introduction. Concurrent design has proven to be effective in markets for high tech systems; the product and its manufacturing means are simultaneously developed starting at the product definition. Unfortunately, not many systems engineering methodologies do support development well in the early stage of the project where proof of concept is still under investigation. The number of practically applicable tools in this stage is even worse. Industry could use a systems engineering method that combines a structured risk approach, concurrent development, and especially enables application in the early stage of product and equipment design. The belief is that Axiomatic Design can provide with a solid foundation for this need. This paper proposes a ‘Constituent Roadmap of Product Design’, based on the axiomatic design methodology. It offers easy access to a broad range of users, experienced and inexperienced. First, it has the ability to evaluate if knowledge application to a design is relevant and complete. Secondly, it offers more detail within the satisfaction interval of the independence axiom. The constituent roadmap is based on recent work that discloses an analysis on information in axiomatic design. The analysis enables better differentiation on project progression in the conceptual stage of design. The constituent roadmap integrates axiomatic design and the methods that harmonise with it. Hence, it does not jeopardise the effectiveness of the methodology. An important feature is the check matrix, a low threshold interface that unlocks the methodology to a larger audience. (Source - PDF presented at ASME IMECE (International Mechanical Engineering Congress and Exposition
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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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Our society faces many challenges, necessitating collaborative efforts among multiple stakeholders. Our students learn this in living labs. This paper explores preliminary research on introducing co-design to novices. We introduce a case study exploring how design educators can support students in developing co-design competencies. Central to this study is our Co-Design Canvas, introduced as a pivotal tool for fostering open dialogue among diverse stakeholders. This stimulates collaboration through effective teamwork and empathic formation. The research questions aim to discover effective methods for introducing the Co-Design Canvas to living lab students, and to identify the necessary prior knowledge and expertise for both novices and educators to effectively engage with and teach the Co-Design Canvas. The paper advocates for a pedagogical shift to effectively engage students in multi-stakeholder challenges. Through a series of workshops, the Co-Design Canvas was introduced to novices. We found that this required a significant cognitive stretch for staff and students. The paper concludes by presenting a, for now, final workshop format consisting of assignments that supports introducing the Canvas and thereby co design to societal impact design novices. This program better prepares students and coaches for multi stakeholder challenges within living labs.
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For over thirty years, there has been a discussion about the effectiveness of educational games in comparison to traditional learning materials. To help further this discussion, we aim to understand ‘how educational games work’ by formalising (and visualising) the educational and motivational aspects of such games. We present a model that focuses on the relationship between three different aspects: user properties, game mechanics, and learning objectives. In two example cases, we have demonstrated how the model can be used to analyse existing games and their game/instructional design, and suggest possible improvements in both motivational and educational aspects based on the model. As such, we introduce a novel approach to analysing educational games and, by inference, a novel design process for designing more effective educational games.
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Design education has a nuanced relationship with examples. Although they are considered useful teaching tools, their use is often restricted to illustrating the design theories and principles around which the curriculum is structured. In contrast, professional designers view examples as autonomous entities and use them to initiate a critical dialogue with their current problem space. Therefore, students should be facilitated in cultivating their own repertoire of solutions and learn to initiate conversations between existing solutions and design challenges to gain a better understanding of the problem space and generate new designs. This paper outlines a small-scale experiment conducted with master's students in Applied Data Science at Utrecht University who took a course on designing recommender system interfaces. The students were provided with a set of examples of recommender interface designs as their main instructional tool. They could use this set to curate their own solution repertoire. As a result, the majority of the participants' work displayed more diverse designs, and they used design patterns distilled from those examples generatively, developing innovative designs. Based on this case study, we tentatively conclude that a design curriculum built around examples, complemented by theories, could be advantageous, as long as special attention is given to helping students initiate fruitful iterations between their challenges and a set of solutions.
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