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Howell, Scott L.; Johnson, Michael C.; Hansen, Jana C. – Adult Learning, 2023
One of the pedagogical benefits that emerged from the pandemic period for adult learners was that teachers, in addition to supporting institutions, were more willing to consider and introduce technological innovations to the learning experience. For 2 years, teachers and institutions had no choice. Unanticipatedly, some of these innovative…
Descriptors: Educational Innovation, Technology Uses in Education, Adult Students, Web Based Instruction
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Nadolny, Larysa – British Journal of Educational Technology, 2017
The combination of print materials and augmented reality in education is increasingly accessible due to advances in mobile technologies. Using familiar paper-based activities overlaid with digital items, also known as interactive print, educators can create a custom learning experience for students. There is very little guidance on the design of…
Descriptors: Printed Materials, Computer Simulation, Interaction, Multimedia Materials
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Léger, Pierre-Majorique; An Nguyen, Thanh; Charland, Patrick; Sénécal, Sylvain; Lapierre, Hugo G.; Fredette, Marc – Computers in the Schools, 2019
The study investigates how learner experience with applications (apps) and how app types (native vs. non-native) influence performance in reading comprehension. Twenty-five high school students used different apps to read four texts. The students were asked to use the annotation feature of the apps to facilitate their reading. Ease of use,…
Descriptors: Computer Software, Performance Factors, Student Experience, Reading Comprehension
Goedecke, Patricia J.; Dong, Daqi; Shi, Genghu; Feng, Shi; Risko, Evan; Olney, Andrew M.; D'Mello, Sidney K.; Graesser, Arthur C. – International Educational Data Mining Society, 2015
Engagement during reading can be measured by the amount of time readers invest in the reading process. It is hypothesized that disengagement is marked by a decrease in time investment as compared with the demands made on the reader by the text. In this study, self-paced reading times for screens of text were predicted by a text complexity score…
Descriptors: Learner Engagement, Reader Text Relationship, Time, Predictor Variables
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Iverson, Kathleen M. – Performance Improvement, 2009
This article presents a conceptual framework for the writing process to facilitate motivation, learning, retention, and knowledge transfer in readers of expository material. Drawing from four well-developed bodies of knowledge--cognitive science, learning theory, technical communication, and creative writing--the author creates a model that allows…
Descriptors: Cognitive Structures, Cognitive Psychology, Cognitive Processes, Learning Theories