Determining the Cognitive Value of Online Interactive Multimedia in Statistics Education
| Autor: | Nimet Alpay, Carolyn LeVally, Ana-Paula Correia, Natalya Koehler |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
05 social sciences 050301 education Usability Procedural knowledge 01 natural sciences Interactive Learning 010104 statistics & probability ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Learning theory 0101 mathematics Statistics education business Set (psychology) 0503 education Interactive media Pace |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783319946399 |
| DOI: | 10.1007/978-3-319-94640-5_7 |
| Popis: | Pursuing online degrees and taking online courses, especially in complex subjects, can be challenging to many adult learners who have to juggle work, family responsibilities, and financial commitments. To better address the needs of these students, a series of online interactive learning modules informed by multimedia theory for teaching declarative and procedural knowledge were created and integrated in an online statistics course. Design and development was followed by evaluative efforts, which were conducted over a period of nine months with a total of 167 undergraduate students and six instructors. Students’ perceptions on the modules’ usability features (e.g., pace of audio presentations, ease of navigation, and layout) as well as on cognitive support and effectiveness of the modules to teach statistics were analyzed. Students and instructors’ reflections on their experiences with the modules were also gathered and analyzed. Both set of participants were overwhelmingly positive about their online learning and teaching experiences of statistics. Online courses and interactive multimedia firmly grounded in learning theories provide effective learning experiences and rich interaction with the course content. This is particularly important when teaching complex content as mathematics and statistics. |
| Databáze: | OpenAIRE |
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