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Martinie Marie-Amélie; Rebecca Shankland – Cogent Education, 2023
Poor academic performance is known to be linked to the tendency to procrastinate. The latter is thought to reflect deficits in effort regulation and study time management (i.e. learning-related resources), but some recent results have suggested that it could stem from psychological inflexibility. The main objective of the present study was thus to…
Descriptors: College Freshmen, Foreign Countries, Time Management, Study Habits
Tianchen Sun – ProQuest LLC, 2023
Students spend little time completing tasks when deadlines are far off; however, they tend to increase their work amounts as deadline approaches. This phenomenon, which is called deadline rush, can be modeled by exponential distributions. Deadline reactivity, represented by a rate parameter of the exponential distribution, parameterizes individual…
Descriptors: Time Management, Decision Making, College Students, Educational Environment
Meng-Ting Lo; Fang-Hsin Hsu; Wen-Lan Chen – Educational Psychology, 2024
This study presents a tool to capture students' academic activities and engagement dynamics in university settings. It explores how strategies to manage time and study environments interact with contextual factors (i.e. study time, learning events, and study locations) in predicting students' concentration and cognitive learning strategies in 81…
Descriptors: Self Management, Learner Engagement, Time Management, Study Habits
Maya Murad; KC Collins – Canadian Journal of Learning and Technology, 2024
Procrastination is a prevalent issue among university students and leads to long-term negative impacts on academic performance as well as mental health and quality of life. This paper investigated StudyTracker, a self-tracking digital application (app) that we developed for university students to use to track their study sessions. The app provided…
Descriptors: Computer Oriented Programs, Attention, Self Management, Data Collection
Sungjun Won; Christopher A. Wolters – Educational Psychology, 2024
The primary objective was to investigate the relations between college students' achievement goals and their engagement in self-regulated learning using a person-centered approach. College students (N = 364) completed surveys that assessed mindset, self-efficacy, anxiety, achievement goals, and self-regulated learning. Latent profile analyses…
Descriptors: Correlation, Academic Achievement, Goal Orientation, Profiles
Karakaya Özyer, Kübra; Altinsoy, Fatma – Malaysian Online Journal of Educational Technology, 2023
To understand the relationship between problematic internet use and academic procrastination, this study constructs a parallel mediation model to examine the impact of university students' problematic internet usage on their academic procrastination and the mediation effect of academic self-efficacy and self-regulated online learning. A total of…
Descriptors: College Students, Foreign Countries, Internet, Computer Use
Yan, Veronica X.; Sana, Faria – Journal of Educational Psychology, 2021
When learning new information, should students focus on studying 1 concept at a time or should they alternate studying between different concepts? Recent research shows that students should mix up or interleave the study of different concepts, particularly when the concepts are related or hard to discriminate (Carvalho & Goldstone, 2015). But…
Descriptors: Learning Processes, Beliefs, Evidence, Metacognition
Turhal, Ersin – International Journal of Research in Education and Science, 2022
This research aims to examine the self-regulation behaviors of the undergraduate students which they display in their music education process and the differentiation of these behaviors according to various variables as well as collecting the opinions of the students about the musical instrument practice behaviors. In this study, where mixed method…
Descriptors: Undergraduate Students, Student Behavior, Music Education, Music Teachers
Lakshmi, Y. Vijaya; Majid, Ishfaq – Online Submission, 2022
The present study reports about the factors that determine the readiness of students towards E-learning. Through a small-scale literature review, efforts were made to identify the key factors that determine the readiness of students towards E-learning. The researcher used technique of content analysis for reviewing the literature. The literature…
Descriptors: Electronic Learning, Educational Technology, Readiness, Higher Education
Kosonen, Toni; Annala, Johanna; Penttinen, Leena; Mäkinen, Marita – Scandinavian Journal of Educational Research, 2023
This article explores university students' approaches to and positions with regard to making the most of their study time. The article discusses how various normative societal expectations around students' use and management of time feature in their talk about how they organise their everyday lives. The research is based on thematic interviews (n…
Descriptors: Study Habits, Time Management, Learning Activities, Student Attitudes
Cosnefroy, Laurent – Journal of Further and Higher Education, 2022
"Disorganisation" refers to the difficulty that some learners have developing an organised approach to studying. The aim of the present study was to explore antecedents and consequences of disorganisation and individual differences in how disorganisation occurs. A questionnaire was administered to 177 French first-year students enrolled…
Descriptors: Foreign Countries, College Students, STEM Education, Study Habits
Albinson, Erik Axel – ProQuest LLC, 2023
The purpose of this qualitative action research study was to explore how an academic coaching curriculum could help students develop an anxiety reducing workflow to improve students' willpower, self-regulation, and self-control with the ultimate goal of helping students achieve their goals. This study aimed to further understand the work of…
Descriptors: College Students, Coaching (Performance), Self Control, Delay of Gratification
Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
Amanda Richardson; Sharron King; Tim Olds; Gaynor Parfitt; Belinda Chiera – Student Success, 2019
Starting university changes the way students must structure their day. This study describes the patterns of time use of 444 Australian first year students and explores differences between gender and age groups. Overall, students were studying on average four hours per day (h/day), sleeping eight h/day and meeting Australian physical activity…
Descriptors: Time Management, College Freshmen, Foreign Countries, Gender Differences
Allen, Keith; Hoyle, Amelia; Zhu, Fengkan; Husley, Jalen – AERA Online Paper Repository, 2017
This study on college student success examines factors students attribute toward improving their academic performance in college. Open coding, content analysis, and analytic induction methods were used to examine responses from 478 undergraduate students at an R-1 highly active, public research university in the southeastern region of the US. The…
Descriptors: Student Attitudes, College Students, Attribution Theory, Academic Achievement