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Nieuwoudt, Johanna – Student Success, 2023
University students are often depicted as carefree young adults; however, many students struggle to manage the "normal" stresses of university life and may experience high rates of psychological distress. This study compared a traditional delivery model to a shorter delivery model (i.e., the Southern Cross Model) in terms of students'…
Descriptors: College Students, Nontraditional Students, Academic Achievement, Mental Health
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
Solomon, Benjamin G.; Poncy, Brian C. – School Psychology, 2019
The empirical literature on academic intervention has increasingly promoted comparative research, moving the field forward in addressing the question, "What works best?" Poncy et al. (2015), Skinner (2008, 2010), and Skinner, Fletcher, and Henington (1996) have suggested that researchers enhance traditional evaluations of learning…
Descriptors: Instruction, Time Factors (Learning), Time on Task, Efficiency
Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Fragkiadaki, Glykeria; Fleer, Marilyn; Rai, Prabhat – Research in Science Education, 2023
A substantial number of empirical studies in the field of Early Childhood Science Education have explored science concept formation in early childhood educational settings. Most of these studies focus on the process of science concept formation during a teaching intervention or a school year period. However, less is known about how children form…
Descriptors: Foreign Countries, Infants, Toddlers, Young Children
Xu, Tonghui – Journal of Educators Online, 2023
The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…
Descriptors: College Students, Online Courses, Academic Achievement, Data Analysis
Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
Conijn, Rianne; Speltz, Emily Dux; Zaanen, Menno van; Waes, Luuk Van; Chukharev-Hudilainen, Evgeny – Written Communication, 2022
The study of revision has been a topic of interest in writing research over the past decades. Numerous studies have, for instance, shown that learning-to-revise is one of the key competences in writing development. Moreover, several models of revision have been developed, and a variety of taxonomies have been used to measure revision in empirical…
Descriptors: Writing (Composition), Revision (Written Composition), Writing Evaluation, Evaluation Methods
Nasheen Nur – ProQuest LLC, 2021
The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students' trends of activities towards success and risk and design intervention methods to improve learning performance and experience. However, many factors contribute to the challenge of designing and building effective…
Descriptors: Artificial Intelligence, Undergraduate Students, Learning Analytics, Time Factors (Learning)
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Caruso, Megan; Peacock, Candace E.; Southwell, Rosy; Zhou, Guojing; D'Mello, Sidney K. – International Educational Data Mining Society, 2022
What can eye movements reveal about reading, a complex skill ubiquitous in everyday life? Research suggests that gaze can reflect short-term comprehension for facts, but it is unknown whether it can measure long-term, deep comprehension. We tracked gaze while 147 participants read long, connected, informative texts and completed assessments of…
Descriptors: Eye Movements, Reading Comprehension, Inferences, Prediction
Karami, Amirreza – ProQuest LLC, 2021
The purpose of this mixed-methods sequential explanatory study was to investigate the effects of watching text-relevant video segments on reading comprehension of a culturally unfamiliar text when technical words are present or absent. Therefore, 44 adult English Language Learners (ELLs) with higher-intermediate to advanced English language…
Descriptors: Adult Students, Video Technology, Foreign Countries, English (Second Language)
Walsh, Matthew M.; Gluck, Kevin A.; Gunzelmann, Glenn; Jastrzembski, Tiffany; Krusmark, Michael – Cognitive Science, 2018
The spacing effect is among the most widely replicated empirical phenomena in the learning sciences, and its relevance to education and training is readily apparent. Yet successful applications of spacing effect research to education and training is rare. Computational modeling can provide the crucial link between a century of accumulated…
Descriptors: Models, Time Factors (Learning), Memory, Intervals
Faucon, Louis; Olsen, Jennifer K.; Haklev, Stian; Dillenbourg, Pierre – Journal of Learning Analytics, 2020
In classrooms, some transitions between activities impose (quasi-)synchronicity, meaning there is a need for learners to move between activities at the same time. To make real-time decisions about when to move to the next activity, teachers need to be able to balance the progress of their students as they work at different paces. In this paper, we…
Descriptors: Classroom Techniques, Prediction, Learning Activities, Student Behavior