Essays about: "Contextual Model of Learning"
Showing result 1 - 5 of 17 essays containing the words Contextual Model of Learning.
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1. Bilateral Innovation Partnerships as a policy tool to foster innovation on a public and private level - A case study of the Swedish-German Innovation Partnership
University essay from Göteborgs universitet/Graduate SchoolAbstract : In recent years, the topics of societal challenges and innovation have become increasingly present, often in connection with digitalisation and ongoing globalisation. Sustainable solutions are needed – and governments as shapers of innovation systems must take up their responsibility. READ MORE
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2. MOVING BETWEEN LEVELS OF ENGAGEMENT WITH INTERACTIVE DIGITAL EXHIBITS
University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeAbstract : Purpose: The overall purpose of the study is to explore how engagement with digital interactive exhibits can be evaluated in a museum rather than in a science centre setting and scrutinize factors that encourage or hinder visitors’ engagement. This is examined using a case study of the Human Nature exhibition displayed at the Museum of World Culture (Gothenburg, Sweden). READ MORE
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3. CLASSIFYING TWITTER BOTSA comparasion of methods for classifying whethert weets are written by humans or bots
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The use of bots to inuence public debate, spread disinformation and spam, creates a need for efficient methods for detecting the usage of bots. This study will compare different machine learning methods in the task of classifying if the author of a tweet is a bot or a human, using tweet level features. READ MORE
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4. Real-time Outlier Detection using Unbounded Data Streaming and Machine Learning
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Accelerated advancements in technology, the Internet of Things, and cloud computing have spurred an emergence of unstructured data that is contributing to rapid growth in data volumes. No human can manage to keep up with monitoring and analyzing these unbounded data streams and thus predictive and analytic tools are needed. READ MORE
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5. Speech Emotion Recognition from Raw Audio using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traditionally, in Speech Emotion Recognition, models require a large number of manually engineered features and intermediate representations such as spectrograms for training. However, to hand-engineer such features often requires both expert domain knowledge and resources. READ MORE
