Dataset Information

Student Satisfaction and Learning Outcomes in Asynchronous Online Lecture Videos.

ABSTRACT: Our study identified online lecture video styles that improved student engagement and satisfaction, while maintaining high learning outcomes in online education. We presented different lecture video styles with standardized material to students and then measured learning outcomes and satisfaction with a survey and summative assessment. We created an iterative qualitative coding scheme, "coding online asynchronous lectures" (COAL), to analyze open-ended student survey responses. Our results reveal that multimedia learning can be satisfying and effective. Students have strong preferences for certain video styles despite their equal learning outcomes, with the Learning Glass style receiving the highest satisfaction ratings. Video styles that were described as impersonal and unfamiliar were rated poorly, while those that were described as personal and engaging and evoked positive affective responses were rated highly. The students in our study rated lecture video styles that aligned with Mayer's multimedia learning principles as highly satisfying, indicating that student feedback can be a valuable resource for course designers to consider as they design their own online courses. Finally, we provide guidelines for creating engaging, effective, and satisfying asynchronous lecture videos to support establishment of best practices in online instruction.

SUBMITTER: Choe RC

PROVIDER: S-EPMC6829069 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThe abrupt onset of the COVID-19 pandemic compelled universities to swiftly establish online teaching and learning environments that were not only immediately deployable but also conducive to high-quality education. This study aimed to compare the effectiveness of the online synchronous and asynchronous teaching formats in the dermatology lecture for undergraduate medical students, including academic performance, self-efficacy, and cognitive load.MethodsA total of 170 fourth-year undergraduate medical students attending the dermatology lecture were included. The lecture was delivered using both the synchronous method (live online lecture via Webex meeting) and the asynchronous method (lecture videos shared on YouTube). The students had the freedom to choose their preferred method of attending the online lecture. The study assessed three main aspects: (1) learning outcomes measured through pretest, posttest, and retention test scores; (2) cognitive load experienced by students, including mental load and mental effort measured using eight items; and (3) satisfaction levels with each online teaching format.ResultsIn this study, 70 students opted for the synchronous online lecture, while 100 students chose the asynchronous online lecture. Both synchronous and asynchronous teaching methods exhibited significant improvements in post and retention test scores compared to the pretest. Satisfaction levels, rated on a scale of 0-5, were generally high for both teaching methods, with no significant differences observed (4.6 for synchronous, 4.53 for asynchronous; p =.350). Regarding cognitive load, the synchronous method showed a significantly lower level than the asynchronous method (p =.0001). Subgroup analysis revealed no difference in mental effort (p =.0662), but the level of mental load was lower in the synchronous method (p =.0005).ConclusionsBoth synchronous and asynchronous online teaching methods demonstrated improvements in learning outcomes and high levels of student satisfaction. However, the cognitive load experienced by students was lower in the synchronous setting compared to the asynchronous setting. These findings remind health professions educators that they would consider the students' cognitive load when designing online curricula.

Project description:The COVID-19 pandemic caused unprecedented changes to educational institutions, forcing their closure and a subsequent shift to online education to cater to student learning requirements. However, successful online learning depends on several factors and may also vary between countries. As such, this cross-sectional study sought to investigate how engagement of university students, a major driver of online learning, was influenced by course content, online interaction, student acceptance, and satisfaction with online learning, as well as self-efficacy across nine countries (China, India, Iran, Italy, Malaysia, Portugal, Serbia, Turkey, and the United Arab Emirates) during the COVID-19 pandemic. Using a questionnaire-based approach, data collected from 6,489 university students showed that student engagement was strongly linked to perception of the quality of the course content and online interactions (p < .001). The current study also indicated that online interactions are a major determinant of academic efficacy but only if mediated by engagement within the online learning context. A negative correlation between student engagement and satisfaction with online learning was found, demonstrating the importance of students being engaged behaviorally, emotionally, and cognitively to feel satisfied with learning. Academic efficacy and student satisfaction were explained by course content, online interaction, and online learning acceptance, being mediated by student engagement. Student satisfaction and, to a lesser degree academic efficacy, were also associated with online learning acceptance. Overall, the structural equation model was a good fit for the data collected from all nine countries (CFI = .947, TLI = .943; RMSEA = .068; SRMR = .048), despite differences in the percentage variations explained by each factor (no invariance), likely due to differences in levels of technology use, learning management systems, and the preparedness of teachers to migrate to full online instruction. Despite limitations, the results of this study highlight the most important factors affecting online learning, providing insight into potential approaches for improving student experiences in online learning environments.

Dataset Information

Student Satisfaction and Learning Outcomes in Asynchronous Online Lecture Videos.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets