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Response Time on Math Skills and Its Association with Math Skills Accuracy and Physics Course Grades
Harish Moni Prakash; Andrew F. Heckler – Physical Review Physics Education Research, 2025
Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT…
Descriptors: Reaction Time, Accuracy, Physics, Science Education
Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies

Kelsey E. Schenck; Doy Kim; Fangli Xia; Michael I. Swart; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2024
Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…
Descriptors: Geometric Concepts, Task Analysis, Thinking Skills, Validity
Yilmaz, Lerzan; Tolan, Özlem Çakmak – International Journal of Progressive Education, 2022
This study examines the relationships between resilience level and perceived parental relationship, cognitive emotion regulation, and personality traits in emerging adulthood. The sample of the research consists of undergraduate students whose age range is 18-25. The study was conducted with 609 people, 317 (52%) female and 292 (48%) male…
Descriptors: Young Adults, Late Adolescents, Resilience (Psychology), Personality Traits
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; Sewell, Justin L.; O'Sullivan, Patricia S. – Applied Cognitive Psychology, 2021
We used the cognitive load inventory for handoffs (CLIH) to identify predictors of cognitive load types during patient handoffs in order to identify opportunities to improve instruction. In 2019, out of a total of 1,807 residents and fellows within a 24-hospital health system, 693 (38.4%) completed the CLIH after a patient handoff. Multivariable…
Descriptors: Predictor Variables, Cognitive Processes, Difficulty Level, Instructional Improvement
Macdonald, Kelly T.; Cirino, Paul T.; Miciak, Jeremy; Grills, Amie E. – Reading & Writing Quarterly, 2021
Cognitive predictors of reading are well known, but less is understood about the roles of "noncognitive" factors, including emotional variables such as anxiety. While "math" anxiety has been a focus of study, its analogue in the reading literature is understudied. We assessed struggling fourth and fifth graders (n = 272) on…
Descriptors: Reading Difficulties, Anxiety, Grade 4, Grade 5
Gustems-Carnicer, Josep; Calderón, Caterina – Social Psychology of Education: An International Journal, 2016
The objectives of this study are: (1) to describe virtues, character strengths and coping strategies of college students; (2) to analyze the relationship between virtues, character strengths and coping strategies; and (3) to evaluate the predictive relationship between virtues and coping strategies. Ninety-one college students (98% females), aged…
Descriptors: College Students, Coping, Student Characteristics, Correlation
Willems, Jonas; Coertjens, Liesje; Tambuyzer, Bart; Donche, Vincent – European Journal of Psychology of Education, 2019
Science students' study success rates in the first year of higher education (FYHE) are problematic. Although a considerable amount of previous research has been carried out to investigate the determinants of students' academic achievement in FYHE, there has been little discussion about the incremental value of non-cognitive factors over and above…
Descriptors: At Risk Students, College Freshmen, Academic Achievement, Science Instruction
Brown, Sarah A.; Menendez, David; Alibali, Martha W. – Grantee Submission, 2019
Why do people change their strategies for solving problems? In this research, we tested whether negative feedback and the context in which learners encounter a strategy influence their likelihood of adopting that strategy. In particular, we examined whether strategy adoption varied when learners were exposed to a target strategy in isolation, in…
Descriptors: Student Characteristics, Learning Strategies, Problem Solving, Feedback (Response)
Moore, Robert L.; Oliver, Kevin M.; Wang, Chuang – Interactive Learning Environments, 2019
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…
Descriptors: Cognitive Processes, Online Courses, Discussion Groups, Learning Analytics
Warden, David N; Myers, Charlsie A. – College Student Journal, 2017
The relationship between domain-specific nonintellective variables and academic achievement among nontraditional students was explored to address uninvestigated factors and clarify distinctions between nontraditional and traditional student achievement. College students (nontraditional n = 72, traditional n = 67) completed an online survey…
Descriptors: Nontraditional Students, Student Characteristics, Academic Achievement, College Students
Goedecke, Patricia J.; Dong, Daqi; Shi, Genghu; Feng, Shi; Risko, Evan; Olney, Andrew M.; D'Mello, Sidney K.; Graesser, Arthur C. – International Educational Data Mining Society, 2015
Engagement during reading can be measured by the amount of time readers invest in the reading process. It is hypothesized that disengagement is marked by a decrease in time investment as compared with the demands made on the reader by the text. In this study, self-paced reading times for screens of text were predicted by a text complexity score…
Descriptors: Learner Engagement, Reader Text Relationship, Time, Predictor Variables
Nehring, Andreas; Nowak, Kathrin H.; zu Belzen, Annette Upmeier; Tiemann, Rüdiger – International Journal of Science Education, 2015
Research on predictors of achievement in science is often targeted on more traditional content-based assessments and single student characteristics. At the same time, the development of skills in the field of scientific inquiry constitutes a focal point of interest for science education. Against this background, the purpose of this study was to…
Descriptors: Science Process Skills, Science Achievement, Inquiry, Secondary Education
Wolters, Christopher A.; Hussain, Maryam – Metacognition and Learning, 2015
We investigated grit and its relations with students' self-regulated learning (SRL) and academic achievement. An ethnically diverse sample of 213 college students completed an online self-report survey that included the Grit Short scale (Duckworth and Quinn "Journal of Personality Assessment, 91(2)," 166-174, 2009), seven indicators of…
Descriptors: Self Management, Academic Persistence, College Students, Academic Achievement
Abraham, David Rajan – ProQuest LLC, 2013
Online education depends on a variety of technology tools for cognitive-related activities; however it is unclear whether the current proliferation of tools is an indicator of a learner's readiness to use them effectively to meet learning objectives is unclear. Because the effectiveness of the online experience is a measure of a…
Descriptors: Online Courses, Educational Technology, Learner Engagement, Correlation