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Google Classroom is a free blended learning platform developed by Google for educational institutions that aims to simplify creating, distributing, and grading assignments. The primary purpose of Google Classroom is to streamline the process of sharing files between teachers and students. [3] As of 2021, approximately 150 million users use ...
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Flipped classroom. Flipped classroom teaching at Clintondale High School in Michigan, United States. A flipped classroom is an instructional strategy and a type of blended learning. It aims to increase student engagement and learning by having pupils complete readings at home, and work on live problem-solving during class time. [1]
A massive open online course ( MOOC / muːk /) or an open online course is an online course aimed at unlimited participation and open access via the Web. [1] In addition to traditional course materials, such as filmed lectures, readings, and problem sets, many MOOCs provide interactive courses with user forums or social media discussions to ...
Review the activities from a learning point of view (ex: What learning objective did you accomplish? What learning outcome did you accomplish? Did you fulfill your learning target, objective, or outcome for the task?) Review the list of upcoming tasks for the next planned pomodoro time blocks, and start reflecting on or updating them.
Bloom's taxonomy is a set of three hierarchical models used for classification of educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and psychomotor domains.
Moodle ( / ˈmuːdəl / MOO-dəl) is a free and open-source learning management system written in PHP and distributed under the GNU General Public License. [3] [4] Moodle is used for blended learning, distance education, flipped classroom and other online learning projects in schools, universities, workplaces and other sectors. [5] [6] [7]
Data scientists often work with unstructured data such as text or images and use machine learning algorithms to build predictive models and make data-driven decisions. In addition to statistical analysis , data science often involves tasks such as data preprocessing , feature engineering , and model selection.