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10,081 result(s) for "MULTIMEDIA INSTRUCTION"
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Effectiveness of Multimedia Pedagogical Agents Predicted by Diverse Theories
Multimedia pedagogical agents are on-screen characters that allow users to navigate or learn in multimedia environments. Several agents’ characteristics may moderate their instructional effectiveness, including appearance, gender, nonverbal communication, motion, and voice. Here, we conducted a meta-analysis to test hypotheses from diverse theories predicting the effects of these agents’ characteristics. We tested predictions of cognitive load theory, cognitive theory of multimedia learning, computers are social actors, social agency theory, uncanny valley, and the action observation network. Our meta-analysis of 32 effect sizes (N = 2104) revealed a small overall effect (g+ = 0.20), showing that learning with multimedia pedagogical agents was more effective than learning without these agents. As predicted by the redundancy effect of cognitive load theory and the coherence principle of cognitive theory of multimedia learning, 2D agents (g+ = 0.38) tended to be more effective than 3D agents (g+ = 0.11). As predicted by the computers are social actors hypothesis, most of the agents’ characteristics, including nonverbal communication, motion, and voice, appeared not to moderate their effectiveness. We conclude that multimedia pedagogical agents help learning through multimedia, and that students may be able to learn similarly from different types of agents.
The Cambridge handbook of multimedia learning
\"In recent years, multimedia learning, or learning from words and images, has developed into a coherent discipline with a significant research base. The Cambridge Handbook of Multimedia Learning is unique in offering a comprehensive, up-to-date analysis of research and theory in the field, with a focus on computer-based learning. Since the first edition appeared in 2005, it has shaped the field and become the primary reference work for multimedia learning. Multimedia environments, including online presentations, e-courses, interactive lessons, simulation games, slideshows, and even textbooks, play a crucial role in education. This revised second edition incorporates the latest developments in multimedia learning and contains new chapters on topics such as drawing, video, feedback, working memory, learner control, and intelligent tutoring systems. It examines research-based principles to determine the most effective methods of multimedia instruction and considers research findings in the context of cognitive theory to explain how these methods work\"-- Provided by publisher.
Promoting university students' receptive skills through extensive reading in multimedia-based instruction
PurposeThe present study focused on examining the effects of a multimedia-based Internet extensive reading program on promoting the receptive skills of Iranian university students.Design/methodology/approachIn the quantitative section of this explanatory sequential mixed-method study, a pretest-posttest design was used to compare the performance of three groups of Iranian university students in terms of their degrees of improvement in receptive proficiency. Besides, the differences in the levels of motivation among the learners were sought. The three classes under study included linear text extensive reading for the first experimental group, a multimedia-based Internet extensive reading group for the other and a control group. The qualitative phase of this study included a semi-structured interview and an open-ended questionnaire.FindingsAnalysis of the results revealed that the multimedia-based Internet extensive reading group outperformed the two other groups in terms of proficiency in receptive skills. They also had a higher level of motivation for reading. The findings of the qualitative phase showed that the participants preferred working with multimedia material rather than working with linear texts, or, in other words, printed books. University EFL instructors may be the most beneficiaries of the present study, as they can gain insights into applying Internet-based extensive reading programs into their courses.Originality/valueAlthough some studies have been carried out in this area, the paper provides its readers with a new procedure and methodology.
A meta-analysis of signaling principle in multimedia learning environments
Signals (or cues) are added to multimedia learning materials to guide learners’ attention to critical elements of the materials. Yet, research on signaling has produced mixed findings on learning outcomes. On the one hand, some studies have reported positive effects of signaling on the performance of learning outcomes (e.g., Jamet in Hum Behav 32:47–53, https://doi.org/10.1016/j.chb.2013.11.013 , 2014). On the other hand, some studies have found that signaling did not improve performance on learning-related outcomes (e.g., Mayer and DaPra in J Exp Psychol 18(3):239–252, https://doi.org/10.1037/a002861670 , 2012). The present meta-analysis seeks to (a) resolve the mixed findings in signaling research, (b) examine the effects on signaling on learning outcomes, and (c) identify potential moderating variables. Following an exhaustive search for studies meeting specified design criteria, 44 independent effect sizes were extracted from 29 experimental studies involving 2726 participants. Studies were coded on features, such as participants (e.g., grade level), presentation (e.g., pacing), and methodology (e.g., quality of the study). Results indicated that signaling is associated with increased learning outcomes ( d  = .38, p  < .01), with effect sizes varying from small to large. This overall effect was moderated by study, participant, presentation, and methodological features. For example, beneficial effects on learning outcomes were found when studies were high in quality, reported the reliability of outcomes, use pretest, and control for differences in prior knowledge. The findings have significant implications for educators and instructional designers as well as for multimedia researchers.
English learning in the digital age : agency, technology and context
\"Moving beyond the 'Web 2.0' and 'digital native' rhetoric, this book addresses the complex experiences of learners of English as a foreign language (EFL) in a world embedded with interactive and participatory technologies. Adopting a sociocultural perspective, it investigates EFL learners' behaviours concerning digital technology, and guides exploration into their contextually mediated choices and learning practices in the '2.0' era. The argument is developed on the basis of the findings of a mixed sequential study that focused on 1485 Chinese undergraduates' use and non-use of online tools and applications outside the English classroom. Particular attention is paid to the role of context and agency when understanding their learning choices and behaviours in the context of digital technology. In particular, the book acknowledges the explanatory power of agency in the minority instances of 'good practices' among these EFL learners. At the same time it demonstrates that for most learners, use of the current web is limited and mostly non-interactive. The barriers to '2.0' transfer are largely contextual and the so-called 'communicative opportunities' and 'participatory culture' in particular did not fit into the learners' sociocultural context of (language) learning. Overall, the compelling argument proposes that the technology-facilitated changes in EFL practices are a 'bottom up' process that is taking place in day-to-day situations and constrained by the learning context within which the learner is situated. Based on these arguments, the book provides a framework that challenges the existing beliefs about (language) learning with online technology, and that contributes to our understanding of how context mediates EFL learners' behaviours surrounding digital technologies. It is a valuable resource for teachers, researchers and policy makers, providing them with insights into using digital technology to stimulate 'good learning practices' outside the classroom.\"
Video Improves Learning in Higher Education: A Systematic Review
Universities around the world are incorporating online learning, often relying on videos (asynchronous multimedia). We systematically reviewed the effects of video on learning in higher education. We searched five databases using 27 keywords to find randomized trials that measured the learning effects of video among college students. We conducted full-text screening, data extraction, and risk of bias in duplicate. We calculated pooled effect sizes using multilevel random-effects meta-analysis. Searches retrieved 9,677 unique records. After screening 329 full texts, 105 met inclusion criteria, with a pooled sample of 7,776 students. Swapping video for existing teaching methods led to small improvements in student learning (g = 0.28). Adding video to existing teaching led to strong learning benefits (g = 0.80). Although results may be subject to some experimental and publication biases, they suggest that videos are unlikely to be detrimental and usually improve student learning.
Five ways to increase the effectiveness of instructional video
This paper reviews five ways to increase the effectiveness of instructional video and one way not to use instructional video. People learn better from an instructional video when the onscreen instructor draws graphics on the board while lecturing (dynamic drawing principle), the onscreen instructor shifts eye gaze between the audience and the board while lecturing (gaze guidance principle), the lesson contains prompts to engage in summarizing or explaining the material (generative activity principle), a demonstration is filmed from a first-person perspective (perspective principle), or subtitles are added to a narrated video that contains speech in the learner’s second language (subtitle principle). People do not learn better from a multimedia lesson when interesting but extraneous video is added (seductive details principle). Additional work is needed to determine the conditions under which these principles apply and the underlying learning mechanisms.