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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
Bridgid Finn; David B. Miele; Allan Wigfield – Grantee Submission, 2023
The "remembered success effect" (Finn, 2010) refers to the finding that challenging academic tasks that start or end with extra opportunities for success are often preferred to challenging tasks that do not include these opportunities. Research on the remembered success effect has identified some memory processes that are thought to give…
Descriptors: Success, Difficulty Level, Mathematics Instruction, Student Motivation
Bridgid Finn; David B. Miele; Allan Wigfield – Grantee Submission, 2024
The "remembered success effect" (Finn, 2010) refers to the finding that challenging academic tasks that start or end with extra opportunities for success are preferred to challenging tasks that do not include these opportunities. Work on remembered success has primarily been done with adults. We assessed (in a preregistered study)…
Descriptors: Elementary School Students, Middle School Students, Grade 3, Grade 6
Burhan Ogut; Darrick Yee; Ruhan Circi; Nevin Dizdari – Grantee Submission, 2023
Research shows that the intensity of high school course-taking is related to postsecondary outcomes. However, there are various approaches to measuring the intensity of students' course-taking. This study presents new measures of coursework intensity that rely on differing levels of quantity and quality of coursework. We used these new indices to…
Descriptors: Course Selection (Students), High School Students, Difficulty Level, Age Differences
Jiali Wang; Young-Suk Grace Kim; Minkyung Cho – Grantee Submission, 2024
Background: We examined linguistic features in fourth graders' narrative and opinion writing and their relations to writing quality. We analysed narrative and opinion essays in terms of lexical sophistication and diversity as well as syntactic complexity, syntactic accuracy, and morphological complexity. Methods: Data were from English-speaking…
Descriptors: Grade 4, Writing (Composition), Narration, Opinions
Arsenault, Tessa L.; Powell, Sarah R. – Grantee Submission, 2022
Word-problem features such as text complexity, charts and graphs, position of the unknown, calculation complexity, irrelevant information, and schemas impact word-problem performance. We compared the word-problem performance of typically achieving (TA) students and students with mathematics difficulty (MD). First, we measured the word-problem…
Descriptors: Word Problems (Mathematics), Mathematics Achievement, Models, Charts
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 Menendez; Sarah A. Brown; Martha W. Alibali – Grantee Submission, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
Butterfuss, Reese; Kim, Jasmine; Kendeou, Panayiota – Grantee Submission, 2020
The aim of this article is twofold. First, it provides a general overview of reading comprehension by outlining classic models of single-text comprehension and more recent models of multiple-text comprehension and sourcing during reading comprehension. Second, the article highlights important sources of individual differences in reading…
Descriptors: Reading Comprehension, Models, Information Sources, Individual Differences
Cassondra M. Eng; Aria Tsegai-Moore; Anna V. Fisher – Grantee Submission, 2024
Computerized assessments and digital games have become more prevalent in childhood, necessitating a systematic investigation of the effects of gamified executive function assessments on performance and engagement. This study examined the feasibility of incorporating gamification and a machine learning algorithm that adapts task difficulty to…
Descriptors: Preschool Children, Preschool Curriculum, Preschool Education, Preschool Tests
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Grantee Submission, 2020
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Item Response Theory, Test Bias, Test Items
Toby J. Park-Gaghan; Christine G. Mokher – Grantee Submission, 2024
Texas legislation mandated that colleges offer developmental education using a corequisite model, where students concurrently enroll in introductory college-level courses with supplemental developmental support. Using data from the population of Texas students in developmental education, we estimated regression models to investigate differential…
Descriptors: College Freshmen, Developmental Studies Programs, College Preparation, Introductory Courses
Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2022
As implementation of the "Next Generation Science Standards" moves forward, there is a need for new assessments that can measure students' integrated three-dimensional science learning. The National Research Council has suggested that these assessments be multicomponent tasks that utilize a combination of item formats including…
Descriptors: Multiple Choice Tests, Conditioning, Test Items, Item Response Theory
Almaz Mesghina; Elayne Vollman; Kelly Trezise; Lindsey Engle Richland – Grantee Submission, 2023
We investigated whether worked examples could be used to reduce cognitive load on mathematics learners who may have reduced available cognitive resources due to experiencing anxiety or excess stress. Across 2 days, 280 fifth-grade students learned from a difficult lesson on ratio, half of whom reviewed worked examples at key problem-solving…
Descriptors: Stress Variables, Grade 5, Mathematics Instruction, Mathematics Anxiety
Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon S. Worden; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…
Descriptors: Multiple Choice Tests, Testing, Test Format, Computer Assisted Testing