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Lorrie Ann Kelly – ProQuest LLC, 2023
The problem is that online learners in universities experience mind-wandering while viewing video lectures because of low rates of engagement, leading to a loss of focus. The purpose of this qualitative case study is to explore how interactive online activities that relate directly to a lecture can mitigate the problem faced by online university…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Electronic Learning
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Neha Parikh; Emily Hansen-Kiss; Walid Fakhouri; Julian N. Holland; Harold Henson; Richard Halpin – Biochemistry and Molecular Biology Education, 2024
The effectiveness of incorporating an audience response system (ARS) in improving the learning environment and student performance was assessed in a didactic biomedical science course at a large US dental school. Instructors and students were surveyed for their experiences of using Top Hat-based ARS in a multi-disciplinary biomedical science…
Descriptors: Biomedicine, Courses, Audience Response Systems, Educational Environment
Heather Catherine Thompson – ProQuest LLC, 2024
This study investigates the instructional practices of a chemistry professor during an immersion summer program, with a focus on employing multimodal discourse within a studio-based learning environment. For this study, multimodal discourse includes natural language, gestures, mathematical expressions, symbolic visual representations, and manual…
Descriptors: Teaching Methods, Design, Chemistry, Summer Programs
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Kim, Gyeong-Hye; Seong, Myeong-Hee – Journal of Pan-Pacific Association of Applied Linguistics, 2021
This paper aims to lay the groundwork for better online lectures based on a survey given to students in general university English classes on their learning states and perceptions of online classes. The online classes were conducted as non-face-to-face recorded lectures at a university in Gyeonggi, Korea, during two consecutive semesters in 2020.…
Descriptors: Foreign Countries, Online Courses, Lecture Method, Second Language Instruction
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Delialioglu, Omer – Educational Technology & Society, 2012
This study investigates how blending of different instructional approaches with technology affects students' engagement. A computer networks course was designed and implemented for the first eight weeks of the semester as a lecture-based blended learning environment and for the second eight weeks of the semester as a problem-based blended learning…
Descriptors: Learner Engagement, Educational Environment, Time on Task, Computer Networks
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Begg, Andy – International Journal of Mathematical Education in Science and Technology, 2011
In this article, I present some "axioms" that relate to undergraduate mathematics education. When I first heard the word axiom, it was defined as a "self-evident truth"; but an axiom is not a truth, it is a subjective assumption on which an argument or proof can be based. My purpose in presenting these axioms is to stimulate debate about…
Descriptors: Undergraduate Study, College Mathematics, Mathematics Education, Educational Change
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Aagard, Hans; Bowen, Kyle; Olesova, Larisa – EDUCAUSE Quarterly, 2010
Despite their flaws as teaching and learning environments, large lectures remain a standard teaching approach because of their relatively low cost, ease of preparation, and long tradition in education. Research shows that active inquiry yields positive results in learning outcomes, and one way to make the large lecture class more active and…
Descriptors: Lecture Method, College Faculty, Audience Response, Synchronous Communication
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