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Michelle L. Ackerman; Bettina Shapira; Joel B. Goodin; Sunilda A. Andriotis – Online Learning, 2025
Research suggests that supportive programmatic structure can assist online doctoral student success, including time to complete the dissertation. However, completely online doctoral students have unique characteristics and needs and are underrepresented in the research literature; therefore, research exploring programmatic factors as related to…
Descriptors: Doctoral Dissertations, Doctoral Students, Distance Education, Psychology
Bronson Hui; Zhiyi Wu – Studies in Second Language Acquisition, 2024
A slowdown or a speedup in response times across experimental conditions can be taken as evidence of online deployment of knowledge. However, response-time difference measures are rarely evaluated on their reliability, and there is no standard practice to estimate it. In this article, we used three open data sets to explore an approach to…
Descriptors: Reliability, Reaction Time, Psychometrics, Criticism
John Hollander; Andrew Olney – Cognitive Science, 2024
Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…
Descriptors: Verbs, Symbolic Language, Language Processing, Semantics
Gregory M. Hurtz; Regi Mucino – Journal of Educational Measurement, 2024
The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…
Descriptors: Student Reaction, Reaction Time, Response Style (Tests), Test Items
Collin Shepley – Journal of Autism and Developmental Disorders, 2024
Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…
Descriptors: Program Evaluation, Data Collection, Data Analysis, Evaluation Methods
Agus Santoso; Heri Retnawati; Kartianom; Ezi Apino; Ibnu Rafi; Munaya Nikma Rosyada – Open Education Studies, 2024
The world's move to a global economy has an impact on the high rate of student academic failure. Higher education, as the affected party, is considered crucial in reducing student academic failure. This study aims to construct a prediction (predictive model) that can forecast students' time to graduation in developing countries such as Indonesia,…
Descriptors: Time to Degree, Open Universities, Foreign Countries, Predictive Measurement
Pablo Saiz-González; Damián Iglesias; Javier Fernández-Río – Quest, 2024
Pedagogical models have been described as suitable for promoting positive outcomes in the physical domain of learning. Is this enough in the battle against sedentary lifestyles? To answer this question, a systematic search of four scientific literature databases was conducted. The articles were included if they met the following criteria: (1)…
Descriptors: Models, Teaching Methods, Intention, Physical Activity Level
Takeshi Higeta – Educational Studies in Japan: International Yearbook, 2024
The relationship between time preference and high school students' career choices was analyzed using the cross-lagged effects model. A significant relationship was found between time preference in the first year of high school and educational expectations in April of the third year. Furthermore, time preference in the first year of high school was…
Descriptors: High School Students, Time Factors (Learning), Expectation, Career Choice
Engin Kutluay; Feride Karaca – Education and Information Technologies, 2025
An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…
Descriptors: Models, Handheld Devices, Telecommunications, Addictive Behavior
Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
Linda F. Nathan; Lydia Cochrane; Ayesha Hoda – Phi Delta Kappan, 2024
School leaders Lydia Cochrane and Ayesha Hoda have struggled to meet the increasingly complex needs of the students in their schools. As students' needs increase, schools are asked to do more and more, while continuing to have strong academic results. Cochrane and Hoda believe the current system is untenable and needs to change. With Linda Nathan,…
Descriptors: Student Needs, Academic Achievement, Educational Change, Models
Zhichen Guo; Daxun Wang; Yan Cai; Dongbo Tu – Educational and Psychological Measurement, 2024
Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative…
Descriptors: Item Response Theory, Models, Reaction Time, Measurement Techniques
Stefan Vermeent; Ethan S. Young; Meriah L. DeJoseph; Anna-Lena Schubert; Willem E. Frankenhuis – Developmental Science, 2024
Childhood adversity can lead to cognitive deficits or enhancements, depending on many factors. Though progress has been made, two challenges prevent us from integrating and better understanding these patterns. First, studies commonly use and interpret raw performance differences, such as response times, which conflate different stages of cognitive…
Descriptors: Early Experience, Trauma, Cognitive Processes, Children
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Sandy C. Li; Jackie W. W. Chan; Andrew K. F. Lui; Ming Lui; Raymond W. P. Wong – Educational Technology & Society, 2024
While prior research has shown higher mindfulness is associated with lower problematic smartphone use (PSU), the contexts of these studies were not related to education or student performance. As such, whether and how mindfulness can reduce the adverse effects of PSU on academic self-efficacy remains unknown. This study proposed a model for…
Descriptors: Self Efficacy, Academic Achievement, Handheld Devices, Telecommunications
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