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Showing 1 to 15 of 36 results Save | Export
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Carvalho, Paulo F.; McLaughlin, Elizabeth A.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2022
In this article, we leverage data from over 1,000 students participating in two different online courses to investigate whether better learning outcomes are associated with student decisions to practice instead of (re-)reading. Consistent with laboratory and classroom findings, we find that students' decisions to practice are related to better…
Descriptors: Independent Study, Electronic Learning, Online Courses, Outcomes of Education
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Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
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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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Li, Hongli; Kim, Min Kyu; Xiong, Yao – American Journal of Distance Education, 2020
Researchers have been interested in classifying massive open online course (MOOC) students based on their learning behaviors. However, less attention has been paid to the cognitive attributes associated with various learning behaviors. In this study, we propose a conceptual model that links MOOC students' observable learning behaviors to their…
Descriptors: Learning Strategies, Cognitive Processes, Student Behavior, Online Courses
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Rusen Meylani – International Society for Technology, Education, and Science, 2023
Due to the COVID-19 pandemic, there has been a significant change in college mathematics education toward online learning, which has advantages and disadvantages for students, instructors, and institutions. To ensure the effectiveness of online learning, it is crucial to understand the factors that influence its success. This study looks at the…
Descriptors: COVID-19, Pandemics, Instructional Effectiveness, Electronic Learning
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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
Boser, Ulrich – Educational Leadership, 2019
Although mastering the art of learning how to learn is considered one of the most important skills for young people, few teens know the basics of how to best learn something. And teachers rarely receive training in how to helps students become successful learners. The author describes seven well-supported techniques for learning anything that…
Descriptors: Adolescents, Learning Strategies, Active Learning, Attention
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Shroff, Ronnie H.; Ting, Fridolin S. T.; Lam, Wai Hung; Cecot, Tomasz; Yang, Jian; Chan, Lap Ki – International Journal of Educational Methodology, 2021
This study describes the development and validation of a psychometrically-sound instrument, the Active Learning Strategies Inventory (ALSI), designed to measure learners' perceptions of their active learning strategies within an active learning context. Active learning encompasses a broad range of pedagogical practices and instructional methods…
Descriptors: Foreign Countries, Test Construction, Construct Validity, Test Reliability
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Navratil, Sabrina D.; Kühl, Tim – Journal of Computer Assisted Learning, 2019
Self-generated learning (SGL) activities are characterized as an active learning strategy that functions as a support for deeper comprehension. However, the question arises which factors could be essential to fully exploit the effectiveness of SGL activities. One possible factor may be the emotional state of learners during learning. Because…
Descriptors: Emotional Response, Learning Strategies, Active Learning, Learning Activities
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Blakey, Carla Hugg; Major, Claire Howell – Online Journal of Distance Learning Administration, 2019
Given the increasing numbers of students who choose to learn online, educators should understand the conditions necessary for student success in this environment. Previous studies have documented that student engagement is essential to student learning, retention, persistence, and satisfaction. In this descriptive qualitative study, we sought to…
Descriptors: Student Attitudes, Learner Engagement, Online Courses, Distance Education
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Nyet Moi Siew; Ruslan Mapeala – Journal of Baltic Science Education, 2017
This research was conducted to evaluate the effects of Thinking Maps (TM)-aided Problem-based Learning (PBL) teaching method (TM-PBL) on motivation towards science learning among Fifth Graders. A quasi-experimental pre-test/post-test non-equivalent control group design wasemployed to measure students' motivation towards science learning (SMTSL) in…
Descriptors: Grade 5, Elementary School Students, Problem Based Learning, Science Education
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
In response to the wide-scale proliferation of "the cone of learning"--a fanciful retention chart confounded with Dale's Cone of Experience--the authors make four major claims debunking this fantasy and provide documentary evidence to support these claims. The first claim is that the data in the mythical retention chart do not make…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
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White, Harold B. – Biochemistry and Molecular Biology Education, 2012
Teachers' perception filter operates in all realms of their consciousness. It plays an important part in what and how students learn and should play a central role in what and how they teach. This may be obvious, but having a visual model of a perception filter can guide the way they think about education. In this article, the author talks about…
Descriptors: Learning Strategies, Teacher Attitudes, Teaching Methods, Visual Perception
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
Critics have been attempting to debunk the mythical retention chart at least since 1971. The earliest critics, David Curl and Frank Dwyer, were addressing just the retention data. Beginning around 2002, a new generation of critics has taken on the illegitimate combination of the retention chart and Edgar Dale's Cone of Experience--the corrupted…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
The authors are attempting to set the record straight regarding the sources frequently cited in the literature of the mythical retention chart and the corrupted Dale's Cone. They point out citations that do not actually connect with relevant works; provide correct citations of sources that are often cited erroneously; add references for overlooked…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
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