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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
Sun, Meng – ProQuest LLC, 2022
This qualitative, non-experimental meta-synthesis explored the antecedents, consequences, and interventions of both active and passive procrastination among university students. Based on the academic procrastination paradigm proposed by Schraw, Wadkins, and Olafson in 2007, the study synthesized and interpreted the findings of twelve purposefully…
Descriptors: College Students, Study Habits, Time Management, Influences
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Zahra Maryam; Asad-Ur-Rehman; Ayesha Nawal; Muhammad Shoaib; Ihtisham Ullah – Journal of International Students, 2025
IELTS is a widely accepted English language proficiency test, required for academic and professional purposes. In this study, we examined the relationship between IELTS and the English proficiency skills of international students. We developed a proximal mediation model based on Bandura's triadic reciprocal determinism theory and tested it using…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Language Proficiency
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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
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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Mongkonrat Chaiyadet; Pallop Piriyasurawong; Panita Wannapiroon – International Education Studies, 2024
The objective of this research is to develop and study the outcomes of developing the Ubiquitous Buddhism Learning Ecosystem for Proactive Buddhism Propagation for Digital Citizenship. The sample group used in the research consists of nine individuals selected through targeted sampling, comprising experts in the design and development of learning…
Descriptors: Buddhism, Models, Citizenship, Educational Philosophy
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Baumann, Erin; FitzGibbon, John – Journal of Political Science Education, 2021
Simulations have long been an important pedagogical tool in the fields of Politics and International Relations. Their more widespread use, however, has been prevented by a combination of perceived barriers to entry in required time and planning. This article seeks to help faculty overcome these barriers and to lessen the burdens associated with…
Descriptors: Political Science, Simulation, Teaching Methods, College Faculty
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Faber, Myrthe; Gennari, Silvia P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The field of psychology of time has typically distinguished between prospective timing and retrospective duration estimation: in prospective timing, participants attend to and encode time, whereas in retrospective estimation, estimates are based on the memory of what happened. Prior research on prospective timing has primarily focused on…
Descriptors: Memory, Psychology, Statistical Analysis, Time Management
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Wolters, Christopher A.; Won, Sungjun; Hussain, Maryam – Metacognition and Learning, 2017
The primary goal of this study was to investigate whether college students' academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of…
Descriptors: Time Management, Metacognition, Predictor Variables, College Students
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Bälter, Olle; Zimmaro, Dawn – Interactive Learning Environments, 2018
It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how…
Descriptors: Keyboarding (Data Entry), Data Analysis, Time Management, Online Courses
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Xiaohao, Ding; Feifei, Zhu – Chinese Education & Society, 2018
Investment of time in internship and in-school learning or study are two ways to accumulate human capital for college students. The authors take I&S input as two impacting factors for graduates' starting salaries to construct an I&S input allocation model minimizing "psychological cost." The model inference indicates that the…
Descriptors: College Students, Human Capital, Salaries, Foreign Countries
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Grunschel, Carola; Schopenhauer, Lena – Journal of College Student Development, 2015
In light of the drawbacks of academic procrastination, it is surprising that not all students want to decrease academic procrastination. To find out why students are motivated (or not) to change academic procrastination, we investigated the characteristics of 377 German students with different motivations to change based on the Transtheoretical…
Descriptors: Foreign Countries, Measures (Individuals), College Students, Student Motivation
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Akpur, Ugur – Eurasian Journal of Educational Research, 2017
Purpose: The purpose of this study is to determine the predictive and explanatory relationship model between procrastination, motivation, anxiety and academic achievement of university students. Research Methods: In this study, a causal research design was used. The study group consisted of 211 participants. In order to determine their motivation…
Descriptors: Models, Time Management, Student Motivation, Anxiety
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Pool, Jessica; Reitsma, Gerda; van den Berg, Dirk – Online Learning, 2017
This paper presents a study grounded in the Community of Inquiry (CoI) framework using qualitative content analysis and focus group interviews in an effort to identify aspects of learning presence in a blended learning course. Research has suggested that the CoI framework may need additional emphasis based on the roles of strategic learners in…
Descriptors: Communities of Practice, Inquiry, Qualitative Research, Content Analysis
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Kandemir, Mehmet; Ilhan, Tahsin; Ozpolat, Ahmed Ragip; Palanci, Mehmet – Educational Research and Reviews, 2014
The goal of this research is to analyze the predictive power level of academic self-efficacy, self-esteem and coping with stress on academic procrastination behavior. Relational screening model is used in the research whose research group is made of 374 students in Kirikkale University, Education Faculty in Turkey. Students in the research group…
Descriptors: Foreign Countries, Self Efficacy, Self Esteem, Coping
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