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Showing 1 to 15 of 18 results Save | Export
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Christopher Jutz; Kai-Michael Griese; Henrike Rau; Johanna Schoppengerd; Ines Prehn – International Journal of Sustainability in Higher Education, 2024
Purpose: Online education enables location-independent learning, potentially providing university students with more flexible study programs and reducing traffic-related CO2 emissions. This paper aims to examine whether online education can contribute to university-related sustainable everyday mobility, with particular consideration given to…
Descriptors: Electronic Learning, Online Courses, Sustainability, Mobility
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Hsu, Chia-Yu; Horikoshi, Izumi; Li, Huiyong; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
The development of technology enables diverse learning experiences nowadays, which shows the importance of learners' self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to…
Descriptors: Foreign Countries, Grade 7, Independent Study, Time Factors (Learning)
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Davy Tsz Kit Ng; Chee Wei Tan; Jac Ka Lok Leung – British Journal of Educational Technology, 2024
In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in…
Descriptors: Student Empowerment, Learning Strategies, Self Management, Science Education
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Ho, Yan Yin; Yeo, Eun-Young; Wijaya, Dhaniah Suhana Binte Mohammad – Journal of Continuing Higher Education, 2023
The increasing number of adult learners in higher education is a trend that has been observed in recent years. An impetus for this trend is the need for upskilling and re-skilling in order to stay relevant and employable in today's world of globalised knowledge. However, finding uninterrupted blocks of time to study in adult learners' busy…
Descriptors: Adult Students, Educational Technology, Undergraduate Students, Learning Activities
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Russell Crank; Jenny Spence – Journal of Adult and Continuing Education, 2024
Student awareness and selection of learning strategies are predictors of academic success. Yet, little is known about learning strategies of students in university preparation science courses, who are frequently mature-aged or underrepresented students. This lack of knowledge potentially hinders tailoring reflective learning experiences, specific…
Descriptors: Electronic Learning, Science Instruction, Learning Strategies, Nontraditional Students
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Supakesorn, Bongkotkorn; Asawaniwed, Pongthorn; Polyiem, Titiworada – Journal of Educational Issues, 2022
The COVID-19 pandemic causing severe and lethal health issues by means of contact or airborne transmission has significantly altered our normal way of life. Having regular face-to-face contact poses a great risk even with precautionary measures taken resulting in a drastic change in the realm of learning and teaching from onsite to online.…
Descriptors: Foreign Countries, Student Teachers, Electronic Learning, Learning Processes
Hartwig, Marissa K.; Malain, Eric D. – Grantee Submission, 2021
We examined students' naturalistic decisions about spacing their study in an undergraduate course (N=185) and whether self-selected spacing predicted course performance. Usage of two study tools -- an online textbook and quiz tool -- was recorded daily. We operationalized spacing as how often the tools were used and the timing of their use…
Descriptors: Study Skills, Learning Strategies, Study Habits, Undergraduate Students
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Cross, Simon; Sharples, Mike; Healing, Graham; Ellis, Jim – International Review of Research in Open and Distributed Learning, 2019
This study investigates how and where distance learners use handheld devices and the impact this has on learning habits, access to learning content and quality of work. It analyses the spatial dimension of anytime-anywhere learning and, with a focus on anywhere learning, it explores students' ongoing negotiation of the flow between and across…
Descriptors: Handheld Devices, Electronic Learning, Distance Education, Study Habits
Fulya Y. Ersoy – Annenberg Institute for School Reform at Brown University, 2021
How does the perceived relationship between effort and achievement affect effort? To answer this question, I conduct a field experiment with a popular online learning platform. I exogenously manipulate students' beliefs about returns to effort by assigning them to different information treatments, each of which provides factual information.…
Descriptors: Productivity, Electronic Learning, Beliefs, Student Attitudes
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Buck, Stefanie – Journal of Library & Information Services In Distance Learning, 2016
Distance learners must balance many challenges when studying away from their home institution, including balancing work, family and study times. How, where, and when a student organizes and interacts with his or her study environment is a significant factor in student persistence and retention. Support services provided by the home institution,…
Descriptors: Study Habits, Distance Education, Ethnography, Academic Libraries
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Yayci, Levent; Kendirci, Abdurrahman – International Online Journal of Education and Teaching, 2021
This study aimed to determine educational/academic and some social behaviors of elementary school students according to their parents' views during coronavirus pandemic days, when they were under lockdown and were attending distance education. The study used a descriptive analysis methodology, one of the survey models, and the study group…
Descriptors: Elementary School Students, Student Behavior, Social Behavior, Study Habits
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Kuo, Ying-Ying; Luo, Juan; Brielmaier, Jennifer – AERA Online Paper Repository, 2016
This study investigated student learning behaviors in a fully online psychology course in which students controlled their own course content usage. Data collection included students' real usage of the Blackboard course site over three semesters in 2014 and 2015, as well as a course survey at the end of each semester. Data mining techniques, such…
Descriptors: Student Behavior, Learning Processes, Online Courses, Learner Controlled Instruction
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Sim, KwongNui; Butson, Russell – IAFOR Journal of Education, 2014
This scoping study examines the degree to which twenty two undergraduate students used their personal computers to support their academic study. The students were selected based on their responses to a questionnaire aimed at gauging their degree of computer skill. Computer activity data was harvested from the personal computers of eighteen…
Descriptors: Undergraduate Students, Computer Uses in Education, Study Habits, Questionnaires
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Auvinen, Tapio; Hakulinen, Lasse; Malmi, Lauri – IEEE Transactions on Learning Technologies, 2015
In online learning environments where automatic assessment is used, students often resort to harmful study practices such as procrastination and trial-and-error. In this paper, we study two teaching interventions that were designed to address these issues in a university-level computer science course. In the first intervention, we used achievement…
Descriptors: Student Behavior, Electronic Learning, Online Courses, Computer Assisted Testing
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Becker, Bernd – Behavioral & Social Sciences Librarian, 2013
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…
Descriptors: Educational Technology, Electronic Learning, Learning Processes, Learning Activities
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