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Elise M. Walck-Shannon; Shaina F. Rowell; April E. Bednarski; Ashton M. Barber; Grace J. Yuan; Regina F. Frey – CBE - Life Sciences Education, 2024
Students struggle to regulate their learning during independent study sessions. In this study, we ask whether an online behavioral intervention helped introductory students decrease distraction while studying. The intervention consisted of exam 1 reflection, exam 2 planning, and exam 2 reflection exercises. During planning, students formed a goal,…
Descriptors: Introductory Courses, Biology, Science Instruction, Attention
Tong, Yao; Zhan, Zehui – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…
Descriptors: MOOCs, Online Courses, Learning Analytics, Prediction
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)
Watthikorn Phochaito; Wirot Sanrattana; Phrasrivajiravati – World Journal of Education, 2024
This research aims to conduct research using the Research and Development (R&D) methodology to obtain an educational innovation called "online self-training program for empowering teachers' learning to foster innovative work behaviors of students" that is effective and can be applied in schools serving as the target population in…
Descriptors: Teacher Empowerment, Student Behavior, Educational Innovation, Teacher Student Relationship
Dina A. Zekry; Gerard T. McKee – International Association for Development of the Information Society, 2023
The paper explores current learning approaches. The authors present the Trigger-Based Discussion-Oriented Continuous learning model (TbDoC) that focuses on creating a continuous learning experience over the online and off-line (on-campus) learning environments. The model aims to create a more engaging learning environment that encourages…
Descriptors: Discussion (Teaching Technique), Independent Study, Teaching Models, Electronic Learning
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Azzeddine Boudouaia; Yan Li; Rustam Shadiev; Yi Xie – Education and Information Technologies, 2024
360° videos have yielded satisfactory outcomes in English learning. However, there exists a dearth of research that delves into the efficacy of these videos for self-directed learning of English. This study aimed to investigate the factors that influence students' use of 360° videos in self-directed learning of English by using the integrative…
Descriptors: Technology Uses in Education, English (Second Language), Second Language Learning, Video Technology
Al Mamun, Md Abdullah; Lawrie, Gwendolyn – Smart Learning Environments, 2023
Technological innovations and changing learning environments are influencing student engagement more than ever before. These changing learning environments are affecting the constructs of student behavioural engagement in the online environment and require scrutiny to determine how to facilitate better student learning outcomes. Specifically,…
Descriptors: Instructional Design, Student Behavior, Inquiry, Learner Engagement
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
Jin, Sung-Hee; Im, Kowoon; Yoo, Mina; Roll, Ido; Seo, Kyoungwon – International Journal of Educational Technology in Higher Education, 2023
Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in…
Descriptors: College Students, Independent Study, Self Management, Electronic Learning
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
Lepp, Andrew; Barkley, Jacob E.; Karpinski, Aryn C.; Singh, Shweta – SAGE Open, 2019
This study compared college students' multitasking in online courses with their multitasking in face-to-face courses and explored the significance of potential predictors of multitasking in each setting. Students taking both online and face-to-face courses completed surveys assessing multitasking in each setting, self-efficacy for self-regulated…
Descriptors: College Students, Student Behavior, Time Management, Online Courses
Jezegou, Annie – International Review of Research in Open and Distance Learning, 2013
This article presents empirical research conducted with French speaking adults studying for a diploma. Their training took place mainly in e-learning. The goal of this research was to identify and explain the processes of influence existing between two specific dimensions: the degree of openness of the components of the e-learning situation and…
Descriptors: Electronic Learning, Metacognition, French, Independent Study

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