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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2024
Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…
Descriptors: Student Evaluation, Computer Assisted Testing, Artificial Intelligence, Comprehension

Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Assessing the difficulty of reading comprehension questions is crucial to educational methodologies and language understanding technologies. Traditional methods of assessing question difficulty rely frequently on human judgments or shallow metrics, often failing to accurately capture the intricate cognitive demands of answering a question. This…
Descriptors: Difficulty Level, Reading Tests, Test Items, Reading Comprehension
Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Grantee Submission, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
Matthew T. McCrudden; Linh Huynh; Bailing Lyu; Jonna M. Kulikowich; Danielle S. McNamara – Grantee Submission, 2024
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…
Descriptors: Reading Processes, Reading Comprehension, Undergraduate Students, Evolution
Scott P. Ardoin; Katherine S. Binder; Paulina A. Kulesz; Eloise Nimocks; Joshua A. Mellott – Grantee Submission, 2024
Understanding test-taking strategies (TTSs) and the variables that influence TTSs is crucial to understanding what reading comprehension tests measure. We examined how passage and student characteristics were associated with TTSs and their impact on response accuracy. Third (n = 78), fifth (n = 86), and eighth (n = 86) graders read and answered…
Descriptors: Test Wiseness, Eye Movements, Reading Comprehension, Reading Tests
Virginia Clinton-Lisell; Sarah E. Carlson; Heather Ness-Maddox; Amanda Dahl; Terrill Taylor; Mark L. Davison; Ben Seipel – Grantee Submission, 2024
The purpose of this study was to examine clusters of less-skilled college readers. College students with below average reading comprehension skills (N = 77) read and thought aloud about four texts, recalled the texts, and completed standardized assessments of reading skills. Based on the findings of cluster analyses of the cognitive processes…
Descriptors: Vocabulary, Reading Comprehension, Reading Tests, Reading Skills
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing

Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
Xueye Yan; Peng Peng; Yuting Liu – Grantee Submission, 2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing…
Descriptors: Computer Assisted Instruction, Reading Instruction, Instructional Design, Reading Difficulties
David A. Klingbeil; Ethan R. Van Norman; Peter M. Nelson; David C. Parker; Patrick Kaiser; Monica L. Vidal; Angelos Ntais; Zhuanghan Dong; Kirsten Truman – Grantee Submission, 2024
Text reading fluency (TRF) is a common reading intervention target in second and third grade. TRF requires the integration of several skills that result in several pathways to dysfluent reading. However, when applying the drill-down approach to intervention targeting, practitioners are guided to consider students' rate and accuracy when reading…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 2, Grade 3
Joseph P. Magliano; Tabitha Stickel; Kathryn S. McCarthy; Daphne Greenberg – Grantee Submission, 2024
Visual media (pictures, photographs) are often used in adult literacy instruction, presumably because they are easy for adult literacy learners to process. However, relatively little research has been conducted on how adult literacy learners comprehend visual media, such as picture stories. Some have argued that picture stories could be used as a…
Descriptors: Adult Literacy, Picture Books, College Students, Adult Education
Stephanie L. Day; Jin K. Hwang; Tracy Arner; Danielle S. McNamara; Carol M. Connor – Grantee Submission, 2024
The purpose of this feasibility study was to examine the potential impact of reading digital interactive e-books, Word Knowledge e-books (WKe-Books), on essential skills that support reading comprehension with third-fifth grade students. Students (N= 425) read two WKe-Books, that taught word learning and comprehension monitoring strategies in the…
Descriptors: Electronic Books, Reading Comprehension, Word Recognition, Elementary School Students
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Paulina A. Kulesz; Garrett J. Roberts; David J. Francis; Paul Cirino; Martin Walczak; Sharon Vaughn – Grantee Submission, 2024
Prior research supports the need for elementary-aged students with reading difficulties (RDs) to receive explicit systematic small-group evidence-based reading instruction. Yet for many students, simply receiving evidence-based reading instruction in a small-group setting is insufficient to reach the progress milestones needed to meet grade-level…
Descriptors: Reading Difficulties, Reading Skills, Elementary School Students, Response to Intervention
Garrett J. Roberts; Philip Capin; Anna Handy; Brooke Coté; Zaira Jimenez – Grantee Submission, 2024
We created and tested a family-based intervention with families of children in Grades 1 and 2 with reading and behavioral difficulties to investigate its impact on text comprehension. Developed with input from parents, reading experts, and behavior specialists, Family-RISE (Reading Intervention with Supports for Engagement) integrates…
Descriptors: Family Relationship, Intervention, Elementary School Students, Reading Difficulties
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