Explore Flipsnack. Transform boring PDFs into engaging digital flipbooks. Share, engage, and track performance in the same platform.
From magazines to catalogs or private internal documents, you can make any page-flip publication look stunning with Flipsnack.
Check out examples from our customers. Digital magazines, zines, ebooks, booklets, flyers & more.
Pre-made templates to create stunning publications in minutes
Here are eight reasons why you should consider choosing interactive, digital flipbooks instead of boring and static PDFs. Check them out!
Page 2 of 3 engaged learning. Activities include the stages of design from the selection of suitable topic, defining learning outcomes, planning an activity to engage learners, development of interactive resources, scaffolding of learning activity, to the integration of all elements into an e-learning environment. MLT 805 Design Experiments Design experiment is an educational research experiment carried out in a complex learning context which explores how a technological innovation affects student learning and educational practice. The aim of design experiments is to engineer innovative learning environments and understand the aspects of human cognition. This course explores the issues of design experiment as a research approach, methodical techniques and scientific understanding of learning and education. MLT 806 Social Foundations for the Learning Sciences This course will cover aspects of the relationships students have with one another and with teachers in school and non-school settings. The implications of social learning theory for classroom instruction will be covered as well as topics such as student diversity, classroom environment, cooperative and competitive goal structures, achievement, and motivation. MLT 807 Cognitive Foundations for the Learning Sciences In this course, cognitive and social science theories are considered related to how people learn to understand, to reason, and to solve problems, as well as the implications of these theories for the design of classroom learning environments and learning in real contexts. Centrally important issues in cognitive sciences are considered, such as knowledge representation, expertise, transfer, metacognition, and domain specific learning (eg. mathematics, science, reading/writing), and informal reasoning. MLT 808 Design of Interactive Learning Environments This course focuses on issues in designing and studying innovative learning environments and in the use of new models of classroom interaction, particularly those related to using technology to enable new cognitive and social roles for students. Topics include simulation environments, intelligent tutoring and coaching systems, computer-mediated communication, teaching for conceptual change, and problem- and project-based learning approaches. Additional topics include cognitive and social interaction learning theories related to motivation, empirical studies evaluating the effectiveness of interactive learning environments, and prospects for the implementation of such innovations in school settings. General issues in the design of educational software, specific challenges of user-interface design, and learning sciences to theoretical perspectives applied to practical interface design issues will also be considered. MLT 809 Research Methodologies for the Learning Sciences This course covers issues in the development and use of applied measures in real learning situations. Topics include reliability, scaling and scale development and construct validity of composite measures. Methodologies such as verbal protocol analysis and design experiments will be surveyed as well as techniques and methods use to analyze data obtained from the observations of teacher-learner interactions in educational settings. MMM 800 Critical Inquiry This capstone course requires the participants to identify a problem which forms the focus of inquiry, locate and read the most relevant literature and undertake some data analysis (as appropriate) to generate suggested potential solution(s) to address the problem. The solution(s) should show evidence that they are able to take the available information and restructure it in an appropriate way to deal with the problem. (This course is only available to participants selecting
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