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Victoria Myrick Mackey – ProQuest LLC, 2024
The COVID-19 pandemic affected schools worldwide. When schools shut down, teachers and students had no choice but to go to remote learning. A school in a rural setting participated in blended learning where students did a combination of asynchronous and synchronous learning. The subject of this study was two sixth grade groups of students with the…
Descriptors: Asynchronous Communication, Blended Learning, Middle School Students, Achievement Gains
Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
Malia A. Minnick – New England College Journal of Applied Educational Research, 2023
The COVID-19 pandemic has had far-reaching impacts in the lives of American students and educators. Educators faced an upheaval and adjustment to a "new normal" as a result of the COVID-19 pandemic, involving extensive use of technology and remote learning. During the pandemic, I was employed as both a sixth grade English language arts…
Descriptors: COVID-19, Pandemics, Educational Change, Grade 6
McKeown, Debra; Kimball, Kathleen; Ledford, Jennifer – Education and Treatment of Children, 2015
Young writers, especially students with disabilities, have difficulty writing complete essays, and when asked to revise often make only surface-level changes. Individualized feedback may lead to gains in writing achievement, but finding class time for feedback is difficult. Using a multiple probe across participants design, the effectiveness of…
Descriptors: Asynchronous Communication, Feedback (Response), Audio Equipment, Elementary School Students
Turcotte, Sandrine – Journal of Science Education and Technology, 2012
This article describes in detail a conversation analysis of conceptual change in a computer-supported collaborative learning environment. Conceptual change is an essential learning process in science education that has yet to be fully understood. While many models and theories have been developed over the last three decades, empirical data to…
Descriptors: Computer Assisted Instruction, Inquiry, Concept Formation, Science Education
Kay, Robin; Edwards, Jaime – Canadian Journal of Learning and Technology, 2012
Video podcasts allow students to control when, where, and what they learn, as well as the pace of learning. Considerable research has been conducted in higher education on video podcast use, but not in middle schools (grades six to eight). This study investigated the use of worked example video podcasts in mathematics classrooms with students 11…
Descriptors: Foreign Countries, Video Technology, Handheld Devices, Web Based Instruction
Hawkes, Mark – Quarterly Review of Distance Education, 2007
Using collaborative critical reflection as an index, this study examines the asynchronous and face-to-face discourse of 28 suburban Chicago elementary teachers developing problem based learning (PBL) curriculum. Statistical analysis of the corpus produced by the 2 mediums shows that the asynchronous online network emerges as the medium of choice…
Descriptors: Electronic Learning, Curriculum Design, Online Courses, Problem Based Learning
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection