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The Impact of Persuasion Techniques on Student Performance and Mental Health in University Setting

Description
Thirty percent of engineering students suffer from extremely severe stress, which is associated with poor academic performance, decreased motivation, and poor mental health. As a result, new, effective techniques must be developed to improve student outcomes. A potential technique that could be valuable in the classroom is persuasion techniques. There…

Thirty percent of engineering students suffer from extremely severe stress, which is associated with poor academic performance, decreased motivation, and poor mental health. As a result, new, effective techniques must be developed to improve student outcomes. A potential technique that could be valuable in the classroom is persuasion techniques. There are six primary persuasion techniques: reciprocity, liking, social proof, scarcity, commitment, and authority (coercive and expert). Persuasion has been studied exhaustively with respect to altering behavior (e.g., sales, compliance), but has only briefly been studied in education. Studies show that positive student-teacher relationships can improve grades, positive peer relationships can improve mental health, and coercive power can increase stress. No studies have examined all persuasion techniques with respect to student outcomes, and this study aims to fill that gap. The objective of this study is to evaluate the use of persuasion techniques in the classroom to improve mental health and enhance academic outcomes. I hypothesized that methods that enhance community and improve sense of belonging (reciprocity, commitment, liking, social proof) will lead to better academic and mental health outcomes, and methods associated with negative professor attitudes (coercive authority) will lead to poor academic and mental health outcomes. To evaluate these hypotheses, a sample of 336 university students were surveyed to see which persuasion techniques they perceived their professors to use and examine the effects of these on academic outcomes (grades, attendance, assignments) and mental health outcomes (engagement, positive impact, stress, well-being, executive function). The data partially supports the hypotheses, with various student academic and mental health outcomes significantly improving with higher use of liking, social proof, commitment, and expert authority, and worsening with higher use of coercive authority. In conclusion, by teaching professors to use liking, social proof, expert authority, and commitment in their classrooms while decreasing coercive techniques, professors can effectively improve student grades and mental health.
ContributorsPautz, Daniella Joy (Author) / Honeycutt, Claire F (Thesis advisor) / Smith, Barbara S (Committee member) / Middleton, James A (Committee member) / Krause, Stephen (Committee member) / Arizona State University (Publisher)
Created2023
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Startle Distinguishes Task Expertise

Description
Recently, it was demonstrated that startle-evoked-movements (SEMs) are present during individuated finger movements (index finger abduction), but only following intense training. This demonstrates that changes in motor planning, which occur through training (motor learning - a characteristic which can provide researchers and clinicians with information about overall rehabilitative effectiveness), can…

Recently, it was demonstrated that startle-evoked-movements (SEMs) are present during individuated finger movements (index finger abduction), but only following intense training. This demonstrates that changes in motor planning, which occur through training (motor learning - a characteristic which can provide researchers and clinicians with information about overall rehabilitative effectiveness), can be analyzed with SEM. The objective here was to determine if SEM is a sensitive enough tool for differentiating expertise (task solidification) in a common everyday task (typing). If proven to be true, SEM may then be useful during rehabilitation for time-stamping when task-specific expertise has occurred, and possibly even when the sufficient dosage of motor training (although not tested here) has been delivered following impairment. It was hypothesized that SEM would be present for all fingers of an expert population, but no fingers of a non-expert population. A total of 9 expert (75.2 ± 9.8 WPM) and 8 non-expert typists, (41.6 ± 8.2 WPM) with right handed dominance and with no previous neurological or current upper extremity impairment were evaluated. SEM was robustly present (all p < 0.05) in all fingers of the experts (except the middle) and absent in all fingers of non-experts except the little (although less robust). Taken together, these results indicate that SEM is a measurable behavioral indicator of motor learning and that it is sensitive to task expertise, opening it for potential clinical utility.
ContributorsBartels, Brandon Michael (Author) / Honeycutt, Claire F (Thesis advisor) / Schaefer, Sydney (Committee member) / Santello, Marco (Committee member) / Arizona State University (Publisher)
Created2018