The commuter student and student satisfaction

This study examined the variables associated with student satisfaction on a commuter campus. A sample of 38 classes was used and resulted in 782 undergraduates responding to questionnaires. The variables included were: age, student level, student's grade, perception of educational benefits, and satisfaction with college experience. A causal model was built and tested in order to determine the direct and indirect effects of these variables upon student satisfaction. While the student level had a negative influence upon satisfaction, both age and grade had a moderate effect upon student satisfaction. The perception of educational benefits seemed to be the most critical variable in predicting student satisfaction.     

The foreign student as a student teacher

Cultural differences appeared to establish a communications barrier between this teacher and her student teacher. Perhaps Mrs. Bloom's experiences will be helpful to other supervisors who work with foreign student teachers.     

Testing a student generated hypothesis using student data

We describe an activity that allows students to experience the full process of a statistical investigation, from generating the research question, to collecting data and testing a hypothesis. Implementation of the activity is described both with and without use of clickers, handheld remotes that allow instant data collection.     

Leveraging student engagement for student and institutional success

We all know the importance of student engagement to student learning. Gavin W. Henning argues that the upside doesn't end there … the institution as a whole also benefits.     

论高校发展型学生工作模式

在我国高等教育由精英教育到大众教育发展过程中,高校必须着眼于学生的持续、全面、和谐发展,坚持以学生为本,积极构建融“教育、管理、服务、发展”为一体的发展型学生工作模式。     

Effects of staff and student tutors on student achievement

In the problem-based curriculum of the faculty of Law, students of the first year are guided by staff tutors or undergraduate student tutors in small tutorial groups. In this study, academic achievement of staff tutor-guided groups are compared with student tutor-guided groups. After an eight-week course students' level of academic achievement was tested by essay questions. Two methods of assessing students' performance are used: expert judgements and propositional analysis. Results of both methods used indicate that no differences in academic achievement occur. Students guided by student tutors perform as well as students guided by staff tutors. Several explanations are proposed to account for these results.     

Segmenting student markets with a student satisfaction and priorities survey

A market segmentation analysis was conducted on students at a large midwestern urban university using two forms of hierarchical cluster analysis on student characteristics: an agglomerative procedure using a matching-type association measure and a divisive chi-square-based automatic interaction detection (CHAID). The resulting segments were compared for their ability to distinguish among students according to six satisfaction scales and measures of students' priorities for college study derived from a general satisfaction survey. As expected, the CHAID clusters discriminated better among students according to their several measures of satisfaction, one of which was the criterion variable for the analysis. However, both procedures produced differences across only two of six satisfaction scales. The matching-type measure clusters resulted in significant differences on 11 of 18 college study priority items compared to only 6 of 18 for the CHAID clusters. Final discussion describes the usefulness of market segmentation strategies for planning, evaluating, and improving academic and student support programs.Presented al the Thirty-Fourth Annual Forum of the Association for Institutional Research, New Orleans, LA, May 29–June 1, 1994.     

Effects of teacher clarity and student anxiety on student outcomes

A laboratory experiment was carried out with 120 undergraduate students to examine a possible aptitude–treatment interaction between teacher clarity and student test anxiety in relation to two outcome measures, namely student achievement and student motivation, with student intelligence statistically controlled. Students completed measures of intelligence and test anxiety and were randomly assigned to high teacher clarity or low teacher clarity conditions, defined by the presence or absence of specific teaching behaviours in a videotaped lecture with content held constant across conditions. Measures of motivation and self-efficacy for learning the material were completed immediately post-treatment, then one week later participants completed an achievement test based on the material contained in the lecture and assigned homework. Results revealed significant beneficial main effects for high vs. low teacher clarity for both achievement and motivation measures, but no aptitude–treatment interaction between teacher clarity and student test anxiety.     

Understanding student questioning

Cultural Studies of Science Education - Our investigation focusses on a group of eleven lower-middle-class students from classrooms in which the teachers did most of the talking and students rarely...     

Improving student achievement

A cognitive processing capacity model of teaching and studying improved immediate posttest and delayed posttest performances of low-ability students, while it reduced performance differences between the low- and high-ability students. A skeletal study outline and a restudy and retest provision also made positive contributions to performance.     

Predicting student progression: The influence of race and other student and institutional characteristics on college student performance

In this study of college student retention and progression, significant differences were found between black and white student cohorts in terms of their attrition rates, overall progression rates (defined as length of time to graduate), and tendency to follow the prescribed progression pattern (sophomore in the second year, junior in the third year, senior in the fourth year, and graduate after the fourth year). However, multiple regression analyses show that racial differences disappear when the effects of other student and institutional characteristics are statistically controlled. Therefore, colleges and universities would do well to rethink special retention and counseling programs designed especially to serve minority group students.     

Virtual carrots,sticks and student engagement: supporting student researchers

This article describes a three-year research project which aimed to introduce a technological innovation in working with three cohorts of undergraduate students to support them in completing their final-year dissertations through the use of a Virtual Research Environment (VRE). An additional aim of the project was to establish, amongst the students, a Community of Enquiry. Drawing on evidence from module evaluations, focus group interviews and user logs, the article highlights how students engaged with the VRE to support their research projects and their peers. By examining the activities of the three cohorts the authors were able to apply the seven key factors for building an educational Community of Enquiry outlined in previous research by the first author and colleagues to assert that the third cohort worked collaboratively to the degree that they could be said to have formed a Community of Enquiry.