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Donovan, Andrea Marquardt; Fyfe, Emily R. – Educational Psychology, 2022
Children often learn abstract mathematics concepts with concrete manipulatives. The current study compared different ways of using specific manipulatives -- base-ten blocks -- to support children's place value knowledge. Children (N = 112, M age = 6.88 years) engaged in place value learning activities in one of four randomly assigned conditions in…
Descriptors: Children, Mathematical Concepts, Manipulative Materials, Mathematics Activities
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Evripidou, Salomi; Amanatiadis, Angelos; Christodoulou, Klitos; Chatzichristofis, Savvas A. – IEEE Transactions on Learning Technologies, 2021
Today, in the era of robotics, different types of educational robots have been used extensively in school classrooms to facilitate teaching activities related to a variety of computer science concepts. Numerous studies have been performed that attempt to examine the effects of using tangible interfaces to enhance collaborative learning…
Descriptors: Thinking Skills, Mathematics, Computation, Sequential Approach
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Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement
Emond, Bruno; Buffett, Scott – International Educational Data Mining Society, 2015
This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…
Descriptors: Data Analysis, Classification, Learning Activities, Inquiry
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Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Intelligent Tutoring Systems, Sequential Approach, Problem Solving, Learning Processes
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
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Amadio, William J. – American Journal of Business Education, 2009
This paper examines how Team Learning allows students to express themselves through their work. I define expression to include taking ownership of one's work, i.e. working through self-motivation rather than through the dictates of a teacher, and participating in a community of workers. This participation includes working with colleagues on…
Descriptors: Technical Education, Self Expression, Cooperative Learning, Teamwork
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Fraenkel, Jack R. – Social Education, 1973
Translating social studies objectives into learnable tasks for students in the classroom involves understanding what a learning activity is, and that different types of learning activities serve different functions. An example of a learning activity sequence which includes four catagories of activities--intake, organizational, demonstrative, and…
Descriptors: Classification, Educational Objectives, Learning Activities, Learning Processes
Morgan, Robert M. – Educational Technology, 1973
A look at how developing countries, specifically Korea, are beginning to look to educational technology as a partial solution to their educational problems. (Author)
Descriptors: Developing Nations, Educational Development, Educational Technology, Learning Activities