Formative Assessment Learning Data Analytics And Gamification
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Formative Assessment, Learning Data Analytics and Gamification
Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance. - Discusses application of automatic techniques for e-assessment of learning activities - Presents strategies to provide immediate and useful feedback on students' activities - Provides methods to collect, analyze, and correctly visualize learning data in educational environments - Explains the applications, benefits, and challenges of using gamification techniques in academic contexts - Offers solutions to increase students' participation and performance while lowering drop-out rates and retention levels
Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process. In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes.
Technology Enhanced Assessment
This book constitutes the proceedings of the 20th International Conference on Technology Enhanced Assessment, TEA 2017, held in Barcelona, Spain, in October 2017. The 17 papers presented were carefully selected from 42 submissions. They are centered around topics like e-learning, computer-assisted instruction, interactive learning environments, collaborative learning, computing education, student assessment. Chapter "Student perception of scalable peer-feedback design in Massive Open Online Courses" is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter.