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- W4317372004 abstract "Extract “What Will Be the Most Significant Development in Motivation Science in the Next Decade?” The future is unknowable, but current trends and emerging technologies can be suggestive. In this spirit, seven world-class motivation researchers consider where the field is going and how we might get there. Change is coming, but what will those changes be? Dweck (Essay 10.1) looks at the big picture to reflect on the place of motivation in psychology. She rightly notes that motivation was once psychology’s most essential ingredient, and she predicts that the 50-year drought (1975–2025) will end to restore motivation to its former preeminence. Why? Because motivation is the center stage to goal pursuits and intelligent decision-making. Only motivational concerns can answer psychology’s most basic questions, such as “What do people want?,” “How do they figure out how to get it?,” and “What do they learn as they try to do so?” Dynamic Nature of Motivation, Assessed in Real Time. Schunk (Essay 10.5), Kaplan (Essay 10.4), and Martin, Burns, Kennett, and Pearson (Essay 10.2) all foresee movement toward understanding motivation as a dynamic process, which means motivation is ever-changing, rising and falling in real time as thoughts, relationships, and situational circumstances change. Schunk (Essay 10.5) argues that it is time to leave behind the too-simple notion that the person enters a situation with a particular level of stable motivation (e.g., high or low achievement motivation). Instead, Schunk wants to attend to, understand, and assess the fine-grained ups and downs of motivation as they occur in real time. He shows future motivation researchers how they can do this by recommending observations, traces, microanalytic methods, diaries, experience sampling, and neural activations. Kaplan (Essay 10.4) shares Schunk’s appreciation for motivation as a complex dynamic system. For Kaplan, motivational phenomena are dynamic, nonlinear, contextualized, and not fully predictable. He suggests that it is time to leave behind traditions of theoretical fragmentation (e.g., one researcher is a humanist, another is a social-cognitivist) and a variable-centered analysis (e.g., as efficacy increases, anxiety decreases linearly). Kaplan foresees that a more dynamic and contextualized understanding of motivation will require in-depth case studies of how individuals experience motivation in context. Martin and his colleagues (Essay 10.2) similarly foresee more ecologically valid research (e.g., more classrooms, fewer laboratories) that tracks the moment-to-moment rise and fall of a single individual’s motivational states. Like Schunk, Martin and colleagues offer high-tech methods to study motivation more dynamically and in real time, such as a greater reliance on psychophysiological assessments (e.g., heart rate, cortisol episodes), neuropsychological assessments (e.g., electroencephalography [EEG], functional magnetic resonance imaging [fMRI]), and real-time assessments using mobile technology (e.g., smartphones, wristbands, and wearable devices in general)." @default.
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- W4317372004 date "2023-03-04" @default.
- W4317372004 modified "2023-10-16" @default.
- W4317372004 title "Insights Gained from Controversy 10" @default.
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- W4317372004 doi "https://doi.org/10.1093/oso/9780197662359.003.0077" @default.
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