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Kevin Thorn – ProQuest LLC, 2023
Asynchronous multimedia learning is a common form of delivering training in the workforce industry, and organizations rely on a completion status to measure that training. However, measuring retention and knowledge transfer of new material rarely occurs during asynchronous learning. Grounded in the Visual Language Theory (VLT) and a delivery…
Descriptors: Retention (Psychology), Transfer of Training, Electronic Learning, Story Telling
Denna McCalla-Howell – ProQuest LLC, 2022
This research study analyzes how the predictor variables sensing-intuitive learning style, verbal-visual learning style, gender, major, and degree level of adult learners predict student intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation to pursue an online graduate degree. The primary research question states:…
Descriptors: Learning Modalities, Academic Degrees, Gender Differences, Majors (Students)
Sarah Cacicio – Adult Literacy Education, 2024
Research shows that the vast majority of students who are diagnosed with learning disabilities in school are, in fact, dyslexic. Still, many students with dyslexia are not adequately identified, assessed, or supported with research-based interventions. Adults with dyslexia report struggling with reading difficulties from as early as kindergarten…
Descriptors: Dyslexia, Adult Learning, Correctional Institutions, Institutionalized Persons
Yang, Kyung-Hwa – New Directions for Adult and Continuing Education, 2017
This chapter discusses participatory visual methods as a framework for adult education.
Descriptors: Visual Learning, Teaching Methods, Adult Education, Models
Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2016
Many have argued for increased continuing education for working engineers, but relatively little research has been done on how to most effectively teach that group. Many have also recommended using learner characteristics to enhance learning, but relatively little is known about the learner characteristics of working engineers. In the study…
Descriptors: Engineering, Technical Occupations, Cognitive Style, Learning Modalities