Titlebook: Human Interface and the Management of Information. Information-Rich and Intelligent Environments; Thematic Area, HIMI Sakae Yamamoto,Hiroh

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Characterization of Auxiliary Problems for Automated Generation in Error-Based Simulationarning by instruction, because learners are required to actively challenge problems. However, when problems are complex and difficult, learners may get stuck. In such cases, it is effective to present auxiliary problems that can support learning of the original problem. Learning with auxiliary probl

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Development of Collaborative Chemistry Experiment Environment Using VRculty of interaction. For chemistry experiments, some researchers have tried to conduct remote experiments using head-mounted display (HMD)-based virtual reality (VR). However, in these attempts, there is a concern that collaborative learning, which is important in science education, is lacking. In

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Enhancing Preparedness for Emergency Alternative Modes of Instruction: Construction and Evaluation oe educational instruction. This paper details a curriculum of eight professional workshops designed to help faculty develop the knowledge and skills to meet their instructional learning goals and students’ accessibility needs in these unique and challenging circumstances. Results identified a number

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Design of Learning by Logical Empathic Understanding in Technology Enhanced Learningd then try to explain them logically. It is “logical thinking about other’s thinking”. Empathic Understanding (EU for short) has been originally proposed in the practice of counseling and it has been widely accepted as a basic principle of counseling. EU includes emotional aspects and logical aspect

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From On-Campus to Online Undergraduate Research Experience in Psychology: Transition During the COVItraining environment from on-campus to online influenced the “Research Experience in Psychology” courses offered by Purdue’s Department of Psychological Sciences. We report results of a survey of faculty members that contained closed- and open-ended questions relating to the changes and challenges f

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Learner Model for Adaptive Scaffolding in Intelligent Tutoring Systems for Organizing Programming Knl collects information for adaptive tutoring and uses this information to determine system actions such as hints, problem presentations, and explanations appropriate to learner understanding. A learner model thus plays an essential role in intelligent tutoring systems (ITSs). Our previously develope

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Exploring Human-Computer Interaction in Mathematics: From Voevodsky’s Univalent Foundations of Matheue that the same view applies to mathematics as well as computer science, especially in the context of Voevodsky’s univalent foundations programme, which involves the human-in-the-loop view of mathematics. At the same time we explicate and articulate the difference between Hilbert’s programme and Vo

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Development of a Learning Support System for Electromagnetics Using Haptic Devicesll structure of electromagnetics,” “hard to understand the concept of fields,” and “hard to perform intuitive experiments that can be visualized.” To solve these problems, some studies have been conducted on experiential learning for physics using haptic devices that allow users to experience force