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Barriers to student active learning in higher education
Teaching in Higher Education, 2020This article reviews research that consistently, across borders and over time, reveals inertia in Higher Education institutions related to innovation in academic teaching.
Kristin Børte +2 more
semanticscholar +1 more source
The Power of Ensembles for Active Learning in Image Classification
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Deep learning methods have become the de-facto standard for challenging image processing tasks such as image classification. One major hurdle of deep learning approaches is that large sets of labeled data are necessary, which can be prohibitively costly ...
William H. Beluch +3 more
semanticscholar +1 more source
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006
Distance learning is increasing in popularity, especially as research proves that learning can be at least as effective from a distance as it is face-to-face. As it becomes apparent that technology neither hinders nor assist the effectiveness of the learning, our focus shifts to instructional design considerations contribute to effective distance ...
Basak, Havva H., Cakir, Sen
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Distance learning is increasing in popularity, especially as research proves that learning can be at least as effective from a distance as it is face-to-face. As it becomes apparent that technology neither hinders nor assist the effectiveness of the learning, our focus shifts to instructional design considerations contribute to effective distance ...
Basak, Havva H., Cakir, Sen
openaire +3 more sources
Active Learning and the Active-Learning-Based Teaching Model
2011This chapter* presents an active-learning-based teaching model for implementation in the MTCS course, which is based on the constructivist approach. This model is used in this Guide in most of the offered activities. The chapter starts with the motivation and the rationale for using active learning in the MTCS course; then, the active-learning-based ...
Orit Hazzan, Noa Ragonis, Tami Lapidot
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Interdisciplinary Learning Activities
2018As the complex societal and technological challenges of the 21st century cannot be addressed by solutions from just one field of expertise, academics are increasingly expected to cross the disciplinary boundaries. 'Interdisciplinary Learning Activities' contains concrete suggestions in the form of examples of learning activities that university ...
Edelbroek, H., Mijnders, M., Post, G.
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Overview of Active Learning Research and Rationale for Active Learning
2021The large classroom lecture remains the predominant model for teaching medical and health sciences learners. This approach has persisted in part due to the perception that lectures offer an efficient and cost-effective way to teach large numbers of learners.
Kathryn N. Huggett, William B. Jeffries
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Workshop: Learning agile through active learning activities
2012 Frontiers in Education Conference Proceedings, 2012Games and simulation are a great way to learn theories and new behaviors that can be applied to software engineering activities. The presenters are going to teach three games that can be used in a software engineering course or any course that deals with agile methods. The presenters will talk about the benefits of agile development and how these games
Karen Anewalt, Jennifer A. Polack-Wahl
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2015
In this part of the book Data Science for Software Engineering: Sharing Data and Models , we show that sharing all data is less useful that sharing just the relevant data. There are several useful methods for finding those relevant data regions including simple nearest neighbor, or kNN, algorithms; clustering (to optimize subsequent kNN); and ...
Tim Menzies +4 more
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In this part of the book Data Science for Software Engineering: Sharing Data and Models , we show that sharing all data is less useful that sharing just the relevant data. There are several useful methods for finding those relevant data regions including simple nearest neighbor, or kNN, algorithms; clustering (to optimize subsequent kNN); and ...
Tim Menzies +4 more
openaire +2 more sources