Perceptual and behavioral effects of expectations formed by exposure to positive or negative <i>Ratemyprofessors.com</i> evaluations

Reber, Jeffrey S.; Ridge, Robert D.; Downs, Samuel D.

doi:10.1080/23311908.2017.1338324

Cited by 5 publications

(6 citation statements)

References 31 publications

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“…Lewandowski et al (2011), for example, found that students perceive a professor's in-person teaching more favorably following exposure to positive RMP evaluations about the professor. Reber et al (2017) found similar effects for video-recorded professors as well; students who read positive RMP evaluations prior to watching a video-recorded lecture perceived the professor to be more pedagogically adept than students who read negative RMP evaluations prior to the same lecture.…”

Section: Rmp's Effects On Studentsmentioning

confidence: 68%

“…Many studies of the effects of RMP on students' expectations have been conducted with majority White students (e.g., Edwards & Edwards, 2013, Lewandowski et al, 2011Reber et al, 2017); however, research indicates that some parts of the university experience differ between White and ethnic-minority students (Anderson & Smith, 2005). One of these differences may be self-efficacy (Gloria & Hird, 1999;MacPhee et al, 2015;Peguero & Shaffer, 2015;Vuong et al, 2010).…”

Section: Strengths Limitations and Future Researchmentioning

confidence: 99%

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Effects of Ratemyprofessors.com and University Student Evaluations of Teaching on Students’ Course Decision-Making and Self-Efficacy

Boswell

2020

hlrc

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This study investigated effects of Ratemyprofessors.com and university student evaluations of teaching on students’ course decision making and self-efficacy in an ethnically diverse undergraduate sample. It also investigated if these effects were impacted by evaluation positivity. Additionally, the study explored if attitudes toward Ratemyprofessors.com was related to student gender, college class, and age. Participants were 73 undergraduates who were exposed to positive and negative evaluations about fictitious professors; participants were informed that the evaluations originated from RMP or university student evaluations of teaching. Evaluation positivity but not type influenced students’ intention to enroll in the professor’s course, but not how seriously they would consider the feedback. Evaluation positivity also influenced self-efficacy. Beliefs about and use of Ratemyprofessors.com were not related to student gender, college class, or age. Implications for student course decision making and self-efficacy for university students, faculty, and administrators are discussed.

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Section: Rmp's Effects On Studentsmentioning

confidence: 68%

Section: Strengths Limitations and Future Researchmentioning

confidence: 99%

Effects of Ratemyprofessors.com and University Student Evaluations of Teaching on Students’ Course Decision-Making and Self-Efficacy

Boswell

2020

hlrc

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“…RMP is a website in which students provide anonymous evaluations of their professors. RMP is not the only professor-rating website; however, with its 4 million monthly users and 20 million-and-growing reviews, it is the largest in the world [ 10 , 12 ]. Students rate their professors’ difficulty as well as their overall quality based on the how clearly the professor teaches course content and their helpfulness inside class and availability to help outside of class [ 13 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Given that RMP content also influences students' expectations about professors and coursework (e.g., Refs. [ [8] , [9] , [10] ]), the study also investigated if RMP content influenced students' intentions and beliefs toward professors. Will RMP content engender students' intentions to ask for policy exemptions and beliefs that they will receive them?…”

mentioning

confidence: 99%

Academic entitlement and Ratemyprofessors.com evaluations bias student teaching evaluations: Implications for faculty evaluation and policy-lenient professors’ occupational health

Boswell

2024

Heliyon

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“…Despite these biases, the website has been shown to offer valuable insights for students, making them more engaged in their chosen course (Reber et al , 2017) and affecting their choice of courses and professors (Boswell and Sohr-Preston, 2020). Furthermore, the majority of the students surveyed expressed trust in the ratings featured on the website (Chiang, 2017), despite the many biases documented by the literature cited earlier.…”

Section: Theory Data and Research Hypothesesmentioning

confidence: 99%

Exploring the influence of student emotions and professor behaviour on course ratings: a quantitative analysis

Rybiński

2023

QAE

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Purpose This paper aims to investigate the relationship between student emotions, professors' performance and course ratings and difficulty. Design/methodology/approach Natural language processing models are used to extract six basic emotions and several categories of professors' harmful performance from nearly one million student reviews randomly selected from the website ratemyprofessors.com. These features are used in regression analysis to analyse their relationship with numerical ratings of course quality and course difficulty. Findings Negative emotions and bad performance by professors are detected more often for low-rated courses and courses perceived as more difficult by students. Positive emotions are seen for highly rated and less challenging courses. Practical implications This paper shows that natural language processing tools can be used to enhance and strengthen the quality assurance processes at universities. The proposed methods can improve the often-contested student evaluation of teaching practices, help students make better and more informed choices about their courses and assist instructors to better tailor their teaching approaches and create a more positive learning environment for their students. Originality/value This paper presents a novel analysis of how student emotions and poor performance by professors, derived automatically from teacher evaluations by students, affect course ratings. Results also lead to a novel hypothesis that the student–course emotional match or student tolerance of bad behaviour by professors can affect the performance of students and their chances of completing their degree.

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Perceptual and behavioral effects of expectations formed by exposure to positive or negative Ratemyprofessors.com evaluations

Cited by 5 publications

References 31 publications

Effects of Ratemyprofessors.com and University Student Evaluations of Teaching on Students’ Course Decision-Making and Self-Efficacy

Effects of Ratemyprofessors.com and University Student Evaluations of Teaching on Students’ Course Decision-Making and Self-Efficacy

Academic entitlement and Ratemyprofessors.com evaluations bias student teaching evaluations: Implications for faculty evaluation and policy-lenient professors’ occupational health

Exploring the influence of student emotions and professor behaviour on course ratings: a quantitative analysis

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