634,659 research outputs found

    Active Learning: An Integrative Learning Approach for Adult Learners

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    In order to appeal to adult learners, the Analytics in Medicine course utilizes active learning methodology to foster self-directed learning, critical thinking, communication skills, and acquisition of knowledge. The modified flipped classroom model requires weekly assigned reading and a written reflection exercise completed several days before face-to-face class time. The reflections are used to better inform course instructors regarding areas needing further explanation in person. In the weekly 2-hour class, students explore topics in-depth by incorporating active learning methods. Examples include think-pair-share or small group activities requiring movement, discussion, and reflection focusing on question prompts or application of principles (e.g., carousel method). The instructor continuously circulates to ensure student engagement and grasp of the material, allowing for areas of clarification to be immediately identified. Instructors often involve peers to coach one another as a method of continued active learning without going into “lecture mode.”https://digitalscholarship.unlv.edu/btp_expo/1092/thumbnail.jp

    Personality and learning styles towards the practical-based approach

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    An enduring question for educational research is the result of individual deviations in the efficacy of learning. The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptions of learning. This article studies the personality and the learning style profile exhibited by students in a practical based approach of vocational courses. The relationship between personality and learning styles among students was assessed as the students got along through the curriculum. The analysis show that students are more oriented towards an active learning mode in a practical-based approach. Given a specific instruction, some people will learn more effectively than others due to their individual personality and learning styles. This study will help a vocational instructor and advisors to understand their students and to design instruction that can benefit students to accomplish a respectable performance in their learning process

    A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks

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    To cover a set of targets with known locations within an area with limited or prohibited ground access using a wireless sensor network, one approach is to deploy the sensors remotely, from an aircraft. In this approach, the lack of precise sensor placement is compensated by redundant de-ployment of sensor nodes. This redundancy can also be used for extending the lifetime of the network, if a proper scheduling mechanism is available for scheduling the active and sleep times of sensor nodes in such a way that each node is in active mode only if it is required to. In this pa-per, we propose an efficient scheduling method based on learning automata and we called it LAML, in which each node is equipped with a learning automaton, which helps the node to select its proper state (active or sleep), at any given time. To study the performance of the proposed method, computer simulations are conducted. Results of these simulations show that the pro-posed scheduling method can better prolong the lifetime of the network in comparison to similar existing method

    Information-Theoretic Active Learning for Content-Based Image Retrieval

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    We propose Information-Theoretic Active Learning (ITAL), a novel batch-mode active learning method for binary classification, and apply it for acquiring meaningful user feedback in the context of content-based image retrieval. Instead of combining different heuristics such as uncertainty, diversity, or density, our method is based on maximizing the mutual information between the predicted relevance of the images and the expected user feedback regarding the selected batch. We propose suitable approximations to this computationally demanding problem and also integrate an explicit model of user behavior that accounts for possible incorrect labels and unnameable instances. Furthermore, our approach does not only take the structure of the data but also the expected model output change caused by the user feedback into account. In contrast to other methods, ITAL turns out to be highly flexible and provides state-of-the-art performance across various datasets, such as MIRFLICKR and ImageNet.Comment: GCPR 2018 paper (14 pages text + 2 pages references + 6 pages appendix

    Strategi Penguatan Pendidikan Karakter Dalam Pembelajaran Berbasis Moda Daring

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    Character education is very important for individuals to be instilled early on. It is the accuracy of character education that will determine the results. In online mode-based learning, distance learning must have various learning strategies and appropriate reinforcement that can maintain student character in following the learning process. This study aims to determine the strategies used in strengthening character education in online mode-based learning. This research uses a descriptive qualitative approach. Data collection techniques through observation and literature study. The results of this study indicate that the strategy of strengthening character education in online mode-based learning is a series of activities that need to be carried out in improving the quality or quality of education. In improving the quality of education, it must be done with a strategy of choosing a good teaching method that is relevant to the current situation. The strategy designed is made with something active, innovative, creative, and fun and motivates students to stay active in online mode-based learning. Strategies like this can also help students from their psychological conditions because students feel bored with online learning at home with repeated and continuous time
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