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Severino, Lori; Meehan, Sinead; Fegely, Lauren – Afterschool Matters, 2022
Many out-of-school time (OST) sites are incorporating literacy time in their programming to capitalize on the benefits associated with literacy instruction. Afterschool is a perfect opportunity to foster a love of reading in children. Expanded learning in afterschool programs can make a difference in both short-term and long-term academic…
Descriptors: Coaching (Performance), Literacy Education, Faculty Development, After School Programs
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Carter, Merilyn; Quinnell, Lorna – Australian Primary Mathematics Classroom, 2012
Students find it hard to interpret mathematical problem texts. Mathematics is a unique language with its own symbols (grapho-phonics), vocabulary (lexicon), grammar (syntax), semantics and literature. As in any other language, to make meaning of the text, the student must learn: (1) signs and symbols (for example: [division], x, [not equal to]);…
Descriptors: Mathematics Education, Semantics, Syntax, Symbols (Mathematics)
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Wohlwend, Karen E. – Language Arts, 2012
This article introduces a way of seeing miscue analysis data through a "spider chart", a readily available digital graphing tool that provides an effective way to visually represent readers' complex coordination of interrelated cueing systems. A spider chart is a standard feature in recent spreadsheet software that puts a new spin on miscue…
Descriptors: Miscue Analysis, Reading Processes, Cues, Charts
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Mesmer, Heidi Anne; Cunningham, James W.; Hiebert, Elfrieda H. – Reading Research Quarterly, 2012
In this conceptual essay, we offer rationales and evidence for critical components of a working model of text complexity for the early grades. In the first three sections of the article, we examine word-level, syntax-level, and discourse-level features of text, posing questions for future research. In the fourth section, we address elements of…
Descriptors: Primary Education, Reader Text Relationship, Difficulty Level, Familiarity
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Shaalan, Khaled F. – Computer Assisted Language Learning, 2005
This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…
Descriptors: Syntax, Educational Technology, Natural Language Processing, Semitic Languages