
Adam Wynn- PhD Student at Durham University
Adam Wynn
- PhD Student at Durham University
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6
Publications
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Publications
Publications (6)
This study investigates the effect of studying with topic maps provided by a self-developed language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspective of prior learning attitude, motivation and learning style. An analysis was conducted on the lear...
Beginner programmers can develop an intuitive understanding of programming by leveraging the motivating field of multimedia to visually inspect outputs and experiment with different ways to solve problems. This paper presents MediaLib, a Python library designed to facilitate multimedia programming and lessen the cognitive load associated with progr...
Despite the prevalence of e-learning systems, there is a lack of support for learners to identify and compare new knowledge with existing cognitive structures. Therefore, an ontology-based visualization support system was previously introduced which offers two modes: cache-cache, where relations are initially hidden and the learners are encouraged...
Computational thinking (CT) is crucial in education for providing a multifaceted approach to problem-solving. However, challenges exist such as supporting teachers' knowledge of CT and students' desire to learn it, particularly for non-technical students. To combat these challenges, Computer Supported Collaborative Learning (CSCL) has been introduc...
Feedback is a crucial process in education because it helps learners identify their weaknesses whilst motivating them to continue to learn. Existing systems often only provide a score or rating with basic explanations. Although some systems provide detailed feedback, they require manual input from teachers. This paper proposes a real-time feedback...
This paper proposes providing automatic feedback to support public speech training. For the first time, speech feedback is provided on a visual dashboard including not only the transcription and pitch information, but also emotion information. A method is proposed to perform emotion classification using state-of-the-art convolutional neural network...