Supplementing teacher knowledge using web‐based Intelligent Tutoring System for the Text Structure Strategy to improve content area reading comprehension with fourth‐ and fifth‐grade struggling readers

Dyslexia ◽  
2019 ◽  
Vol 26 (2) ◽  
pp. 120-136 ◽  
Author(s):  
Kausalai Wijekumar ◽  
Bonnie J. Meyer ◽  
Puiwa Lei ◽  
Andrea Lynn Beerwinkle ◽  
Malatesha Joshi
2017 ◽  
Vol 31 (9) ◽  
pp. 1969-1996 ◽  
Author(s):  
Kausalai Wijekumar ◽  
Bonnie J. F. Meyer ◽  
Puiwa Lei ◽  
Anita C. Hernandez ◽  
Diane L. August

2017 ◽  
Vol 55 (7) ◽  
pp. 1022-1048 ◽  
Author(s):  
Kausalai (Kay) Wijekumar ◽  
Bonnie J. F. Meyer ◽  
Puiwa Lei ◽  
Weiyi Cheng ◽  
Xuejun Ji ◽  
...  

Reading and comprehending content area texts require learners to effectively select and encode with hierarchically strategic memory structures in order to combine new information with prior knowledge. Unfortunately, evidence from state and national tests shows that children fail to successfully navigate the reading comprehension challenges they face. Schools have struggled to find approaches that can help children succeed in this important task. Typical instruction in classrooms across the country has focused on procedural application of strategies or content-focused approaches that encourage rich discussions. Both approaches have achieved success but have limitations-related transparency and specificity of scaffolds and guidance for the teacher and learner in today’s diverse and complex classroom settings. The text structure strategy combines content and strategy to provide pragmatic, transparent, and scaffolded instruction addressing these challenges. A web-based intelligent tutoring system for the text structure strategy, named ITSS, was designed and developed to provide consistent and high-quality instruction to learners in Grades 4 and 5 about how to read, select main ideas, encode strategic memory structures, make inferences, and monitor comprehension during reading. In this article, we synthesize results from two recent large-scale randomized controlled studies to showcase how the ITSS supports selection and encoding of students’ strategic memory structures and how prior knowledge affects the memory structures. We provide greater depth of information about such processing than examined and reported in extant literature about overall increases in reading comprehension resulting from students using ITSS.


Author(s):  
Ying Fang ◽  
Anne Lippert ◽  
Zhiqiang Cai ◽  
Su Chen ◽  
Jan C. Frijters ◽  
...  

AbstractA common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an intelligent tutoring system with computer agents (AutoTutor) designed to improve comprehension skills in adults with low reading literacy. One goal of this study was to classify adults into different clusters based on their behavioral patterns (accuracy and response time to answer questions) while they interacted with AutoTutor to help them improve their reading comprehension skills. A second goal was to investigate whether adults’ behaviors were associated with different reading components. A third goal was to assess improvements in reading comprehension skills, based on psychometric tests, of different clusters of readers. Performance on AutoTutor was collected in a targeted 100-hour hybrid intervention for adult readers (n = 252) that included both human teachers and the AutoTutor system. The adults’ average accuracy and response time in AutoTutor were used to cluster the adults into four categories: higher performers (comparatively fast and accurate), conscientious readers (slow but accurate), under-engaged readers (fast at the expense of somewhat lower accuracy) and struggling readers (slow and inaccurate). Two psychometric tests of comprehension were used to assess comprehension. Gains in comprehension scores were highest for conscientious readers, lowest for struggling readers, with higher performing readers and under-engaged readers in between. The results provide guidance to enhance the adaptivity of AutoTutor.


2020 ◽  
Author(s):  
Robert Roselli ◽  
Stephen B. Gilbert ◽  
Stephen B. Blessing ◽  
Larry Howard ◽  
Aditya Raut ◽  
...  

DINAMIKA ILMU ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 75-90
Author(s):  
Azhar Aziz Lubis ◽  
Gunadi Harry Sulistyo

This factorial quasi-experimental 22 study aimed to corroborate the effect of PRWR strategy compared to Translation and Reading Aloud on students’ academic content-area reading comprehension as observed from their English proficiency. The interaction between the strategy and English proficiency was also examined. Data were obtained from a reading comprehension test, a TOEFL PBT Equivalent test, and a questionnaire on students’ perception towards the PRWR strategy. Both the reading test and the questionnaire were expert validated and tried out, whereas the TOEFL PBT Equivalent test was conducted under the auspices of an English institute. 58 sophomore students at a state university in Malang, Indonesia, served as the subjects of the study. This turned out that first; students taught by the PRWR strategy have better reading comprehension than that of by Translation and Reading Aloud. Second, students with high English proficiency taught by the PRWR strategy have better reading comprehension than that of taught by Translation and Reading Aloud. Third, there was no interaction between reading strategy and English proficiency. All in all, the employment of the PRWR strategy was highly recommended in academic content-area reading comprehension.


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