Your power tools for making the complex comprehensible Now more than ever, our students are being asked to do highly advanced thinking, talking, and writing around their reading. If only there were ingenious new tools that could give our students the space to tease apart complex ideas in order to comprehend and weld their understandings into a new whole. Good news: these tools exist—Mining Complex Text. You’ll learn how graphic organizers can: Help students read, reread, and take notes on a text Promote students’ oral sharing of information and their ideas Elevate organized note-making from complex text(s) Scaffold students’ narrative and informational writing
The process of determining relevant similarities and distinguishing features comes down to what attributes are important. Teachers may ask students to compare and contrast the characters of Harry Potter and Hermione Granger from the ...
Your power tools for making the complex comprehensible Now more than ever, our students are being asked to do highly advanced thinking, talking, and writing around their reading.
Mining complex text, grades 2–5: Using and creating graphic organizers to grasp content and share new understandings. Thousand Oaks, CA: Corwin. Miller, D., & Moss, B. (2013). No more independent reading without support.
Mining complex text, grades 2–5: Using and creating graphic organizers to grasp content and share new understandings. Corwin. LaRusso, M., Kim, H. Y., Selman, R., Uccelli, P., Dawson, T., Jones, S., Donovan, S., & Snow, C. (2016).
Reading and Writing, 20(3), 225–250. Pearson, P. D., & Gallagher, M. C. (1983). The instruction of reading comprehension. Contemporary Educational Psychology, 8(3), 317–344. Pressley, M. (2007). Achieving best practices.
Upper Saddle River, NJ: Pearson Prentice Hall. Calkins, L. (2001). The art of teaching reading. Portsmouth, NH: Heinemann. Chall, J. (1983). Stages of reading development. New York: McGraw-Hill. Charity-Hudley, A., & Mallinson, C.
Interactive Writing is specifically focused on the early phases of writing, and has special relevance to prekindergarten, kindergarten, grade 1 and 2 teachers.
[21] J. Yang, J. McAuley, J. Leskovec, “Detecting cohesive and 2-mode communities in directed and undirected networks,” ACM Intl. Conf. on Web Search and Data Mining, 2014. [22] J. Yang, J. McAuley, J. Leskovec, “Community detection in ...
Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
P. S. Yu, J. Han, and C. Faloutsos. Link Mining: Models, Algorithms and Applications. New York: Springer, 2010. X. Yin, J. Han, and P. S. Yu. Cross-relational clustering with user's guidance. In Proc. 2005 ACM SIGKDD Int. Conf.