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Schindler, Julia; Richter, Tobias – Educational Psychology Review, 2023
Learning can be made more efficient when learners generate the to-be-learned text contents instead of passively receiving them. A multi-level meta-analysis was conducted to provide an overall estimate of the text generation effect's magnitude and to identify theoretically and practically relevant moderators. Overall, generation interventions…
Descriptors: Learning Processes, Reader Text Relationship, Reading Processes, Text Structure
Esther H. Yi – ProQuest LLC, 2023
A reader's ability to go beyond their surface-level understanding of words and to build a deeper representation of the text in their mind (i.e., reading comprehension) is predicated on a range of reader- and text-level variables that indicate how well a certain reader can read a certain text. The following study evaluates the extent to which the…
Descriptors: Grade 1, Elementary School Students, Reading Skills, Student Characteristics
Ágnes Hódi; Edit Tóth; Marianne Nikolov – Reading Research Quarterly, 2025
Reading literacy is a multidimensional construct in terms of text and reading processes. Much research has examined the divisibility of the processes underlying reading, but they have treated the rest of the construct as unitary. This study extends the examination of dimensionality to a neglected area in literacy studies. It tests reading models…
Descriptors: Reader Text Relationship, Reading Processes, Text Structure, Foreign Countries
Forrin, Noah D.; Mills, Caitlin; D'Mello, Sidney K.; Risko, Evan F.; Smilek, Daniel; Seli, Paul – Journal of Experimental Education, 2021
The prevalence of the acronym tl;dr ("too long; didn't read") suggests that people intentionally disengage their attention from long sections of text. We studied this real-world phenomenon in an educational context by measuring rates of intentional and unintentional mind-wandering while undergraduate student participants (n = 80) read…
Descriptors: Undergraduate Students, Reading Processes, Attention, Text Structure
Detillion, Ron – Reading Teacher, 2021
In this article, I showcase an informational text reading comprehension unit that centers on text features commonly found in science textbooks. I taught this unit to a sixth-grade class and highlighted the work samples of three focal students here. The overarching question that guided this work was as follows: How can I focus my instruction on…
Descriptors: Elementary School Students, Elementary School Science, Textbooks, Reading Comprehension
Larissa Goulart – ProQuest LLC, 2022
Written assignments are, perhaps, one of the most common types of coursework that students will encounter in their undergraduate studies. This study describes the communicative purpose and textual and linguistic characteristics of university assignments written for content classes, taking into account variation across communicative text types and…
Descriptors: Higher Education, Academic Language, Writing Skills, Student Writing Models
Alejandro Gómez-Camacho; Juan de-Pablos-Pons; Pilar Colás-Bravo; Jesús Conde-Jiménez – Comunicar: Media Education Research Journal, 2023
Instant messaging applications integrated in smartphones have favored the emergence of new digital writing systems, which are characterized by the use of specific spellings called textisms. This study analyses the relationship between the use of textisms and spelling mistakes in academic texts. The methodology applied was descriptive, based on a…
Descriptors: Synchronous Communication, Social Media, Computer Oriented Programs, Handheld Devices
Lee, Jungmin; Chow, Sy-Miin; Lei, Puiwa; Wijekumar, Kausalai; Molenaar, Peter C. M. – Educational Technology Research and Development, 2021
The intelligent tutoring system of structure strategy (ITSS) is a web-based digital tutoring system proven to be effective in helping students recognize and use text structures to comprehend and recall texts. However, little is known about the dynamic learning processes within the ITSS. This study aims to investigate the effects of feedback dosage…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Time Factors (Learning), Web Based Instruction