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A Classic Dyslexia Profile

A Classic Dyslexia Profile

Unlocking the secrets of Dyslexia: using the Literacy and Dyslexia-SpLD Professional Development Framework as a key to personalised CPD University of Derby June 2012 Dr. Amelia Roberts. A Classic Dyslexia Profile. Turner and Ridsdale Digit Memory: 5 Gathercole and Baddeley Non-word Memory: 97

By bikita
(257 views)

The Effectiveness of Text-Matching Software: Using Turnitin tm with Graduate Research Students

The Effectiveness of Text-Matching Software: Using Turnitin tm with Graduate Research Students

The Effectiveness of Text-Matching Software: Using Turnitin tm with Graduate Research Students. Colin Rundle Formerly Foundation for Advanced Studies on International Development (FASID) colinrundle@yahoo.com. Overview . Text-matching using Turnitin Turnitin ’ s Originality Check

By avak
(96 views)

Twitter Frenzy FPGA Data Stream Processing

Twitter Frenzy FPGA Data Stream Processing

Twitter Frenzy FPGA Data Stream Processing. Cory Kleinheksel (Team Leader) Tim Meyer David Graziano Josh Clausman. Project Idea. Twitter Frenzy - A way to filter tweets as a set of frequencies using a FPGA to perform packet analysis.

By cade-newman
(172 views)

Academic Integrity: Ensuring good academic practice Workshop for academic staff

Academic Integrity: Ensuring good academic practice Workshop for academic staff

Academic Integrity: Ensuring good academic practice Workshop for academic staff. Dr Irene Glendinning Academic Manager for Student Experience Office of Teaching and Learning. Workshop aims. To promote good practice for academic professors, tutors and supervisors

By jwood
(0 views)

Academic Integrity: Ensuring good academic practice Workshop for academic staff

Academic Integrity: Ensuring good academic practice Workshop for academic staff

Academic Integrity: Ensuring good academic practice Workshop for academic staff. Dr Irene Glendinning Academic Manager for Student Experience Office of Teaching and Learning. Workshop aims. To promote good practice for academic professors, tutors and supervisors

By jeanjdavis
(0 views)


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Text Features Matching Game

Text Features Matching Game

Text Features Matching Game. Cut out the puzzle pieces and either clip together or put in small bag. There should be one set for each group. The students will match the text features to the correct meaning. Teacher will call on groups to share text features and the correct matching meaning.

By anais (127 views)

Using Text matching tools effectively

Using Text matching tools effectively

Using Text matching tools effectively. Jane Thomas Superintendent of Assessment Swansea University. Changing ethos. From punishing Unfair Practice to Promoting Academic Integrity:

By chesmu (69 views)

Text Search and Fuzzy Matching

Text Search and Fuzzy Matching

Text Search and Fuzzy Matching. Presented by Andre Dovgal, Sunaptic Solutions andredovgal@hotmail.com. Focus of the Presentation. Text Search in Big Databases Data Cleansing in ETL Word Matching Usage of Different Matching Algorithms. Scenarios. Scenario 1. Scenario 2 (ETL). Scenario 3.

By reed-christian (156 views)

Text Search and Fuzzy Matching

Text Search and Fuzzy Matching

Text Search and Fuzzy Matching. Presented by Andrei Kossoroukov, Sunaptic Solutions Andrei.Kossoroukov@sunaptic.com. Focus of the Presentation. Text Search in Big Databases Data Cleansing in ETL Word Matching Usage of Different Matching Algorithms. Scenarios. Scenario 1.

By kristen-clossick (129 views)

Dynamic Text and Static Pattern Matching

Dynamic Text and Static Pattern Matching

Dynamic Text and Static Pattern Matching. Amihood Amir Gad M. Landau Moshe Lewenstein Dina Sokol Bar-Ilan University. Classical Pattern Matching. Output: locations of T where P appears.

By calvinmurray (0 views)

Text Mining: Fast Phrase-based Text Indexing and Matching

Text Mining: Fast Phrase-based Text Indexing and Matching

LORNET Theme 4. Text Mining: Fast Phrase-based Text Indexing and Matching. Khaled Hammouda, Ph.D. Student PAMI Research Group University of Waterloo Waterloo, Ontario, Canada. Web / LOR. Pattern Recognition. Text Documents Web Documents Discussion Articles . . . Programming

By heloise (155 views)

Dynamic Text and Static Pattern Matching

Dynamic Text and Static Pattern Matching

Dynamic Text and Static Pattern Matching. Amihood Amir Gad M. Landau Moshe Lewenstein Dina Sokol Bar-Ilan University. Classical Pattern Matching. Output: locations of T where P appears.

By cameron-sellers (87 views)

Multiple Pattern Matching in LZW Compressed Text

Multiple Pattern Matching in LZW Compressed Text

Nagano. Fukuoka. Multiple Pattern Matching in LZW Compressed Text. Takuya KIDA. Masayuki TAKEDA. Masayuki TAKEDA. Ayumi SHINOHARA. Ayumi SHINOHARA. Masamichi MIYAZAKI. Masamichi MIYAZAKI. Setsuo ARIKAWA. Setsuo ARIKAWA. Department of Informatics Kyushu University, Japan.

By lilah (100 views)