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Aug 24, 2021 · Mood and tone are offered blurred in the classroom. Confusingly, we use the same terminology to describe both. But as students work towards senior school, it is essential that they understand the difference and know how to identify it within any text that is provided.
Oct 11, 2023 · Discover the powerful impact of voice tone on education and how it can significantly influence the learning process. Dive into this insightful article now!
Many school districts are showing support for increased levels of technology in the classroom by providing hardware such as tablets and computers, enhancing internet connectivity, and implementing programs designed to improve computer literacy for both teachers and students.
May 19, 2024 · The tone of voice used by a teacher plays a significant role in shaping the classroom environment. It can impact student engagement, behavior, and overall learning experience. Adjusting your tone can help capture attention, promote focus, and set the emotional tone in the class.
- Objective and Rationale
- Theoretical Background and Literature Review
- Theory and Predictions
- Hypothesis 1
- Hypothesis 2
- Hypothesis 3
- Hypothesis 4
Consider a learning scenario in which a student sits at a computer screen that delivers a narrated slideshow on a science topic. The narration is provided by a computer-generated voice that can display positive (e.g., happy) or negative (e.g., sad) emotion through a male or female voice, based on a text-to-speech engine. Can the emotional tone and ...
Research on the role of emotion in academic learning
Research on the role of emotion in learning has a long history dating back at least 25 years (Bower, 1992), and more recently the field has expanded to include the role of emotion in academic learning with computer-based technology (D'Mello & Graesser, 2012; Loderer, Pekrun, & Lester, 2020). In the field of educational psychology, there have been previous studies that explored the interaction between cognitive and affective processing during academic learning (McGaugh, 2018; Pekrun, 2016, 201...
Classification of emotions
The choice of happy and sad emotions in this research was guided by Russell’s (1980, 2003) model of core affect. According to this model, there are two dimensions to categorize emotions: valence, which ranges from positive (i.e., pleasant) to negative (i.e., unpleasant), and arousal, which ranges from active (i.e., activation) to passive (i.e., deactivation). In this research, we chose a happy voice, which fits in the positive-active quadrant of Russell’s model, and a sad voice, which fits in...
Role of computer-generated voice as an affective cue
Previous research on the role of the instructor's voice in multimedia lessons has shown that people learn better from an appealing human voice than a machine voice (Atkinson et al., 2005; Fiorella & Mayer, 2022; Mayer, 2021; Mayer & DaPra, 2012; Mayer, Sobko, & Mautone, 2003). However, in contrast, there is emerging evidence that recent advances in text-to-speech technology may be capable of producing voices that convey emotion to learners as well as human voices do (Craig & Schroeder, 2017,...
Our research is guided by the cognitive-affective model of e-learning shown in Fig. 1, which is a modified version of the cognitive-affective model of learning with media (Horovitz & Mayer, 2021; Lawson et al., 2021a, 2021b, 2021c; Mayer, 2021; Moreno & Mayer, 2007). Specifically, the cognitive-affective model of e-learning proposes a chain of step...
Learners can perceive the instructor’s emotion, and the effect may be moderated by the instructor’s gender. Specifically, learners in the happy voice conditions give higher ratings of perceived happy emotion of the instructor (hypothesis 1a) and lower ratings of perceived sad emotion of the instructor (hypothesis 1b) than learners in the sad voice ...
Learners’ felt emotions are influenced by the instructor’s emotion, and the effect may be moderated by the gender of the instructor. Specifically, learners in the happy voice conditions give higher ratings of happy felt emotion (hypothesis 2a) and lower ratings of sad felt emotion (hypothesis 2b) than those in the sad conditions. A research questio...
Learners’ social connection with the instructor is affected by the instructor's emotion, and the effect may be moderated by the gender of the instructor. Specifically, learners in the happy voice conditions give higher ratings than learners in sad voice conditions on the instructor facilitating learning (hypothesis 3a), having better credibility (h...
Learners’ learning outcomes are affected by the instructor’s emotion, and this effect may be moderated by the gender of the instructor. Specifically, learners in the happy voice conditions score higher on a retention test (hypothesis 4a) and transfer test (hypothesis 4b) than those in sad voice conditions. A research question concerns whether the e...
Mar 13, 2012 · This study analyzes teachers’ perceptions of technology use in the classroom by surveying those who participated in the TeachUp! technology empowerment program created and developed by Digital Opportunity Trust USA, Inc. (DOT USA).
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Apr 24, 2023 · Technology can be effective in the classroom when it helps students learn at their own pace, saves time for teachers, and prepares students for the digital world. Moreover, Technology can make learning more fun, interactive, cooperative, and creative.
