试答钱学森之问：加强高校师生互动——基于控制生师比和班级规模的探讨

回答钱学森之问必须考虑师生互动这一重要因素,师生互动对于杰出人才培养的重要性不仅有理论支撑,也得到了实践证明。生师比和班级规模作为影响师生互动的两个重要外部指标,分别从宏观和微观两个层面共同反映师生互动的效果。＂985高校＂作为培养杰出人才的领头羊,其与美国顶尖大学仍有较大差距。通过借鉴美国顶尖大学办学经验,结合学校现状,985高校应缩小生师比、控制班级规模。     

A two-dimensional analysis of student ratings of instruction

Student ratings of instruction were analyzed in terms of two global factors. One factor, which includes items on advanced planning, presentation clarity, and increased student knowledge, was named pedagogical skill. The other factor taps information about class discussion, grading, and the availability of help and was named rapport. Ratings on the skill factor did not covary with class size or the leniency of the instructor's grading but did correlate with a reasonable external criterion of student learning. Ratings of rapport correlated inversely with class size and directly with average class grade and showed only a weak relationship to the external criterion of student learning. The skill factor showed more interclass stability than the rapport factor. Previous research studies which have examined the reliability and validity of instructional ratings and their relationship to student grades and class size have reported inconsistent findings. These inconsistencies appear to result from an inappropriate unidimensional analysis of ratings which should be examined in terms of two of more separate attitude dimensions.     

Student ratings of instruction: Validity and normative interpretations

Using 3,355 class section means, the relationship between six predictor variables and student ratings of instruction (CEQ) was investigated by computing the intercorrelation matrix among all variables and by performing several regression analyses. Results of the study indicated that all linear interactions were negligible and that more than one-fourth of the criterion variance was shared with all the predictor variables. Two predictor variables, expected grade and required-elective, provided extremely large contributions to the prediction of the criterion measure, however. Implications of the validity results with respect to normative data and thus to the administrative use of the ratings were illustrated.     

Perceived autonomy support,intrinsic motivation,and student ratings of instruction

Motivation theory suggests that autonomy supportiveness in instruction often leads to many positive outcomes in the classroom, such as higher levels of intrinsic motivation and engagement. The purpose of this study was to determine whether perceived autonomy support and course-related intrinsic motivation in college classrooms positively predict student ratings of instruction. Data were collected from 47 undergraduate education courses and 914 students. Consistent with expectations, the results indicated that both intrinsic motivation and autonomy support were positively associated with multiple dimensions of student ratings of instruction. Results also showed that intrinsic motivation moderated the association between autonomy support and instructional ratings—the higher intrinsic motivation, the less predictive autonomy support, and the lower intrinsic motivation, the more predictive autonomy support. These results suggest that incorporating classroom activities that engender autonomy support may lead to improved student perceptions of classroom instruction and may also enhance both student motivation and learning.     

Investigating substantive and consequential validity of student ratings of instruction

This study aimed at exploring faculty and student perspectives on student evaluations, as well as identifying their perceptions of the usefulness and appropriateness of the ratings for evaluating teaching effectiveness. More specifically, the study aimed at identifying the consequences, both intended and unintended, of using the evaluations, in addition to better understanding the process students used in responding to evaluations and what use faculty members made of them. Two surveys were developed and placed on the website of the Office of Institutional Research and Assessment. Emails were sent to all students and faculty participating in evaluations soliciting their cooperation and requesting their input. Faculty and student perceptions were compared qualitatively and statistically. Results revealed that students and faculty believe in the effectiveness and usefulness of the system with the need to overcome some negative consequences and biases inherent in its application at the University. Recommendations for system improvement are provided.     

Comparison of online and classroom-based student evaluations of instruction

In recent years, colleges have been moving from traditional, classroom‐based student evaluations of instruction to online evaluations. Because of the importance of these evaluations in decisions regarding retention, promotion and tenure, instructors are justifiably concerned about how this trend might affect their ratings. We recruited faculty members who were teaching two or more sections of the same course in a single semester and assigned at least one section to receive online evaluations and the other section(s) to receive classroom evaluations. We hypothesised that the online evaluations would yield a lower response rate than the classroom administration. We also predicted that there would be no significant differences in the overall ratings, the number of written comments, and the valence (positive/neutral/negative) of students’ comments. A total of 32 instructors participated in the study over two semesters, providing evaluation data from 2057 students. As expected, online evaluations had a significantly lower response rate than classroom evaluations. Additionally, there were no differences in the mean ratings, the percentage of students who provided written comments or the proportion of comments in the three valence categories. Thus, even with the lower response rate for online evaluations, the two administration formats seemed to produce comparable data.     

Expectancy violation and student rating of instruction

This study examined whether violations that are incongruent with student expectations are significantly different than congruent violations of expectancy in relation to student ratings of instruction. Analysis using the Scheffe' post ANOVA test revealed that college students having high expectations/high experiences evaluated teachers more favorably than students with low expectations/high experiences, low expectations/low experiences and high expectations/low experiences. Reasons why these findings did not coincide with the expectancy violation model are offered.     

Grades,learning, and student evaluation of instruction

In the first experiment, the author employed three different grading standards, identified as stringent, moderate, and lenient, in separate sections of the course Psychology of Learning. Other aspects of the course were the same for each section. The different grading standards resulted in substantially different grade distributions in the anticipated direction. Evaluations of both the instructor's performance and the couse decreased as the stringency of the grading criteria increased. Every item on the evaluation questionnaire was systematically influenced by the grading criteria. The amount learned, as measured by performance on the objective part of the final test, increased as the stringency of the grading criteria increased. In the second experiment, the subjects were the students in two sections of the course Introductory Psychology, taught by the author during the same term. The same textbook, course notes, and grading criteria were employed. The manipulated variable was test frequency, with the two sections receiving either weekly or biweekly tests. Students in the section receiving weekly tests scored 11.9% higher, on the average, over all tests. This resulted in a substantial difference in grade distributions. The ratings of the section receiving lower grades were substantially lower on every item of the rating form. Students appear to rate instructors on the basis of a global impression (liking) which they form, which is strongly influenced by the grade the student receives.     

Different administrative directions and student ratings of instruction: Cognitive versus affective effects

A manipulation of the instructions students received prior to completing the 7-item Endeavor Instructional Rating card differentially affected their ratings on two types of items. Specifically, when students were led to believe their ratings would have a strong impact on the instructor's career, they tended to be more lenient on items measuring rapport (i.e., the affective domain); this same effect was not observed for items measuring pedagogical skill (i.e., the cognitive domain). The different items on our instructional rating instrument appear to be measuring different things. One implication of this observation is that the inconsistent findings reported in past research on student ratings of instruction may be due to the differential mix of items from one instrument to another. When instructors are compared on ratings given them by students, unbiased interpretation requires that the multidimensional nature of teaching (and of the rating instrument) be considered.     

Student evaluation of instruction: comparison between in-class and online methods

This study compares student evaluations of instruction that were collected in-class with those gathered through an online survey. The two modes of administration were compared with respect to response rate, psychometric characteristics and mean ratings through different statistical analyses. Findings indicated that in-class evaluations produced a significantly higher response rate than online evaluation. In addition, Rasch analysis showed that mean ratings obtained in in-class evaluation were significantly higher than those obtained in online evaluation. Finally, the distributions of student attendance and expected grade in both modes were compared via chi-square tests, and were found to differ in the two modes of administration.     

Where class size really matters: Class size and student ratings of instructor effectiveness

We examine the impact of class size on student evaluations of instructor performance using data on all economics classes offered at the University of California, Santa Barbara from Fall 1997 to Spring 2004. A particular strength of this data is the opportunity to control for both instructor and course fixed effects. In contrast to the literature examining class size effects on test-based outcomes—where results can vary considerably across specifications—we find a large, highly significant, and nonlinear negative impact of class size on student evaluations of instructor effectiveness that is highly robust to the inclusion of course and instructor fixed effects.     

Student ratings of college teaching: a comparison of faculty and their students

Based on the review of student ratings myths by Aleamoni (1987, 1999), a survey research design was used to analyse differences between college students' (n = 968) and faculty's (n = 34) perceptions. Generally, students held stronger beliefs in these myths, in that they believed faculty with excellent publication records were better qualified to evaluate teaching and that student ratings on single general items are accurate measures of teaching effectiveness. On the other hand, faculty believed that student ratings were invalid and unreliable. Further examination of student characteristics revealed that male students held stronger beliefs in these myths. Finally, students' beliefs in these myths were correlated with their actual ratings of nine dimensions of the Student Evaluation of Educational Quality. A discussion as well as suggestions for using student ratings is provided.     

Exploring the influences of MOOC design features on student performance and persistence

Massive open online courses (MOOCs) face persistent challenges related to student performance, including high rates of attrition and low student achievement scores. Previous studies that have examined the performance of students in MOOCs have done so using qualitative analysis and the quantitative analysis of small samples. This study is the first to examine general course features of MOOCs on a large scale and to quantify the influences of these course features on student performance. Informed by the theory of web-based online instruction, this study used two-stage K-means clustering to analyze more than 200 MOOCs that had enrolled about 300,000 students, identifying three patterns of course features among the MOOCs. A MANOVA test and follow-up statistical tests revealed that these patterns of course features influenced the MOOCs’ dropout rates and student achievement scores to statistically different degrees. The implications of these findings are discussed.     

Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related

Student evaluation of teaching (SET) ratings are used to evaluate faculty's teaching effectiveness based on a widespread belief that students learn more from highly rated professors. The key evidence cited in support of this belief are meta-analyses of multisection studies showing small-to-moderate correlations between SET ratings and student achievement (e.g., Cohen, 1980, Cohen, 1981; Feldman, 1989). We re-analyzed previously published meta-analyses of the multisection studies and found that their findings were an artifact of small sample sized studies and publication bias. Whereas the small sample sized studies showed large and moderate correlation, the large sample sized studies showed no or only minimal correlation between SET ratings and learning. Our up-to-date meta-analysis of all multisection studies revealed no significant correlations between the SET ratings and learning. These findings suggest that institutions focused on student learning and career success may want to abandon SET ratings as a measure of faculty's teaching effectiveness.     

School size and student achievement: a longitudinal analysis

Numerous initiatives by private philanthropies and the US government have supported school size reduction policies as an educational reform intended to improve student outcomes. Empirical evidence to support these claims, however, is underdeveloped. In this article, we draw on information from a longitudinal dataset provided by the Northwest Evaluation Association covering more than 1 million students in 4 US states. Employing a student fixed effects strategy, we estimate how a student’s achievement changes as (s)he moves between schools of different sizes. We find evidence that students’ academic achievement in math and reading declines as school size increases. The negative effects of large schools appear to matter most in higher grades, which is also when schools tend to be the largest.     

Grading leniency, grade discrepancy, and student ratings of instruction

The purpose of this study was to examine how grading leniency and grade discrepancy (the difference between expected grades and deserved grades) were associated with various dimensions of student ratings of instruction. A sample of 754 undergraduate college students completed a student ratings of instruction instrument and provided responses to a number of other questions on topics such as course difficulty and workload. A series of multilevel regression analyses were conducted and results showed that an instructor's grading leniency, as perceived by students, was positively associated with student ratings on 11 of 12 dimensions of instruction examined. This finding suggests that more lenient instructors tend to receive higher student ratings. The second finding shows that grade discrepancy was negatively associated with most dimensions of instruction. This supports the self-serving bias hypothesis under attribution theory (Gigliotti & Buchtel, 1990) in that students tended to punish instructors with lower ratings when expected grades were lower than students believed they deserved, yet little evidence of a pattern of rewards existed in student ratings when students expected grades higher than they deserved.     

Examining learning approaches of science student teachers according to the class level and gender

There are many factors influence the level of students＇ achievement in education. Studies show that one of these factors is ＂learning approach of a student＂. Research findings generally have identified two approaches of learning： deep and surface. When a student uses the deep approach, he/she has an intrinsic interest in subject matter and is interested in ideas and conclusions to understand the subject matter. When a student employs the surface approach, he/she merely memorizes knowledge to pass any exam in school. The aim of this study is to determine learning approaches of science student teachers and to examine the relationships among the variables, such as level of students＇ class and gender. The sample of this study consists of 108 student teachers from the Science Education Program at Department of Primary Science Education in Karadeniz Technical University. Approaches to learning of science student teachers are assessed using the Revised Two-factor Study Process Questionnaire （R-SPQ-2F）, a scale developed by Biggs, et al （2001） consisting of 20 items on a 5 point Likert Scale. According to findings, science student teachers generally have deep learning approaches. Moreover, learning approaches of science student teachers have not changed related to gender.     

Course characteristics and college students' ratings of their teachers: What we know and what we don't

From showing in a general way that there is room for course context to influence class (average) ratings of instruction, this review proceeds to a search for specific course characteristics that are associated with these ratings. Extant research has centered around five such characteristics: class size, course level, the electivity of the course, the particular subject matter of the course, and the time of day that the course is held. Although statistically significant zero-order relationships do not appear in every piece of research located for review, such relationships are more likely to be found than not for the first four of these characteristics. The associations may not be particularly strong, but rather clear-cut patterns do emerge. Of the studies reporting an association between size of class and class ratings, most find it to be inverse, although several studies show a curvilinear (U-shaped) relationship. Teacher (and course) ratings tend to be somewhat higher for upper division courses and elective courses. Compared to other instructors, those teaching humanities, fine arts, and languages tend to receive somewhat higher ratings. The possible reasons for these relationships are many and complex. A precise understanding of the contribution of course characteristics to the ratings of teachers (and the courses themselves) is hampered by two circumstances. Studies in which relevant variables are controlled are far fewer in number than are the studies in which only the zero-order relationships between course characteristics and ratings are considered. More importantly, existing multivariate studies tend to underplay or ignore the exact place of course characteristics in a causal network of variables.     

高校毕业班学生管理工作研究

高校毕业班学生管理工作是高校学生工作的重要组成部分。毕业班学生管理工作,应结合毕业班实际情况,本着以学生为本的工作理念,采取刚柔相济弹性管理模式,正确引导每一名毕业生踏入社会。