Course withdrawals: A probit model and policy recommendations

Withdrawals from college courses prior to the assignment of grades, but after the add-drop period, are analyzed. In a probit model student withdrawals appear to occur randomly with notable exceptions. The more experience a student has in college, the more likely it is that he or she will withdraw from any given course. Students who have withdrawn from courses in the past tend to withdraw again. Student motivation measures are related to the withdrawal decision. Physical and mental disabilities affect withdrawals only in certain courses while athletes are no more likely to withdraw from courses than nonathletes. Finally, there appear to be economies of scale in teaching: The more students an instructor teaches in other courses, the less likely it is that students will withdraw from the course under consideration. The number of students enrolled in the course, however, is not significantly related to withdrawals.     

Predicting college grades: the value of achievement goals in supplementing ability measures

Achievement goal theory is an important theoretical framework for understanding achievement motivation. In previous studies, a mastery orientation has been shown to be related to students’ interest, while a performance orientation has been found to be predictive of academic performance outcomes such as course grades. In this study, the two mastery sub‐scores from the Multiple Goals Theory Measure (MGTM) of academic motivation, which was developed specifically from achievement goal theory, was found to be predictive of college grades for a sample of 257 undergraduates at a public university in the north‐eastern United States. Additionally, the results support a trichotomous model of achievement orientations comprising mastery approach, performance approach, and avoidance. The MGTM appears to hold promise as a diagnostic tool, but additional research is required on its resistance to faking and other threats to validity.     

The effects of contingency avoidance on programmed student achievement

If it is assumed that student failure in the classroom situation is the result of inadequate performance skills rather than a lack of ability, then the attention of the educator should more properly be directed at teaching the student to develop effective methods of studying. The present experiment employed a Programmed Student Achievement (PA) procedure which required that the student evidence 100% mastery of discrete units of material. Two PA contingencies which differed in the intensity of the consequence of failing to evidence mastery were used, testing the hypothesis that the PA effect is analogous to avoidance conditioning. In addition, generalization of the effect of PA on performance in courses taken concurrently was evaluated. The performance of PA students was found to be significantly superior to that of control students on both weekly quizzes and major exams; however, performance under the two experimental contingencies did not differ. Additionally, the PA effect did not generalize to performance in other courses. The implication of these data for an avoidance hypothesis account of the PA effect is discussed.     

Effects of motivational and volitional email messages (MVEM) with personal messages on undergraduate students' motivation, study habits and achievement

This study investigated what kind of supportive information can be effective in improving the situation where there were severe motivational challenges. Motivational and volitional email messages (MVEM) were constructed based on an integrated model of four theories and methods, which are Keller's ARCS model, Kuhl's action control theory, Gollwitzer's Rubicon model of motivation and volition, and Visser & Keller's strategy of motivational messages, and distributed with personal messages created based on audience analysis to a large undergraduate class. In order to examine the effects of the messages on motivation for the course, study habits (study time), and achievement (test grade), MVEM were sent to 30 students (Personal Message Group: PMG) with personal messages and to 71 students (Non‐Personal Message Group: NonPMG) without personal messages. Results indicated that PMG showed a higher level of motivation, especially in regard to confidence, than NonPMG. Also, the mean test grade of PMG increased so that the initial difference of the test grade between the two groups significantly decreased. Although there was no difference between the two groups in study habits, the findings suggest that personal messages addressing specific individual problems raise the positive effects of MVEM constructed based on the integrated model. Future research directions are discussed.     

The impact of computer-mediated interaction on distance learning

Distance‐learning courses were classified with regard to their use of computer‐mediated interaction and the degree to which such interaction was integrated into the curriculum and the assessment regime. This produced four groups of courses varying according to their use of interaction and integration. The impact of interaction and integration was investigated in terms of their effects on students' performance, their perceptions of academic quality and their approaches to studying. In all three respects, variations within the groups of courses proved to be more important than variations between the groups. Interpretation of these results suggests that the adoption of interactive environments within computer‐mediated learning may not be enough in itself to lead to positive learning outcomes. We found no evidence for this assumption in terms of students' completion rates, pass rates, grades, perceptions of the quality of their courses or approaches to studying. Large variations in the measured indicators were found between courses, and these appeared to be largely independent of the effects of interaction and integration. Courses may differ markedly with regard to how they make use of computer‐mediated interaction and how this is integrated into the curriculum and the assessment regime. A case study approach is suggested as being more likely to identify the impact of specific designs based on computer‐mediated interaction and to bring together the diverse student responses arising from the use of such interaction in their studies.