The present exploratory study evaluated perceptions of actual support received in relation to stress and well-being among first-year students attending Canadian and U.S. higher education institutions (N = 126). Given that traditional assessments of received support account only for how often support was received, the present research examined unique effects of support quality in addition to frequency with respect to four distinct sources of support (family, friends, faculty/staff, institution). Following from empirical confirmation of received support frequency (RSF) and received support quality (RSQ) as distinguishable constructs, RSQ was found to significantly mediate effects of RSF across varied well-being outcomes (e.g., stress, burnout, quitting intentions) in relation to family, faculty/staff, and institution support. Overall, study findings highlight the importance of evaluating the quality of support received by first-year students during the transition to higher education and show faculty/staff support to be an important contributor to student well-being.

As technology becomes increasingly integrated with education, research on the relationships between students’ computing-related emotions and motivation following technological difficulties is critical to improving learning experiences. Following from Weiner’s (2010) attribution theory of achievement motivation, the present research examined relationships between causal attributions and emotions concerning academic computing difficulties in two studies. Study samples consisted of North American university students enrolled in both traditional and online universities (total N = 559) who responded to either hypothetical scenarios or experimental manipulations involving technological challenges experienced in academic settings. Findings from Study 1 showed stable and external attributions to be emotionally maladaptive (more helplessness, boredom, guilt), particularly in response to unexpected computing problems. Additionally, Study 2 found stable attributions for unexpected problems to predict more anxiety for traditional students, with both external and personally controllable attributions for minor problems proving emotionally beneficial for students in online degree programs (more hope, less anxiety). Overall, hypothesized negative effects of stable attributions were observed across both studies, with mixed results for personally controllable attributions and unanticipated emotional benefits of external attributions for academic computing problems warranting further study.

The present paper reviews empirical literature on stress and social support relative to first-year post-secondary students, published between 1996 and 2020. Empirical studies included in the literature search focused on stress, coping, and social support specifically among first-year undergraduate students while studying in countries adopting North American higher education models comparable to the United States and Canada. This review examines contextual and psychological antecedents and correlates of stress, as well as associated demographic and achievement variables. Furthermore, this review extends to studies on social support categorized by source (peers, family, faculty, institution, and multiple sources of support). A synthesis and critique of the literature explores the themes in the empirical research presented, as well as considerations for future research.

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As education experiences are increasingly mediated by technology, the present research explored how causal attributions for academic computing difficulties impacted emotions and achievement in two studies conducted with post-secondary students in North America and Germany. Study 1 (N = 1063) found ability attributions for computer problems to be emotionally maladaptive (more guilt, helplessness, anger, shame, regret, anxiety, and boredom), with strategy attributions being more emotionally adaptive (more hope, pride, and enjoyment). Study 2 (N = 788) further showed ability attributions for computer problems to predict poorer academic achievement (grade percentage) over and above effects of attributions for poor academic performance. Across studies, the effects of effort attributions for computer problems were mixed in corresponding to more negative computing-related emotions despite academic achievement benefits. Implications for future research on students' academic computing attributions are discussed with respect to domain-specificity, intervention, and technical support considerations.

Although engaging in pleasant experiences following successful performance may be hedonically rewarding, in the present research we proposed that individuals might forego pleasant experiences when they have not yet completed a task. In Study 1 (N = 100), participants reported the extent to which they would like to engage in pleasant experiences in a hypothetical situation where their performance outcome on a task (successful vs. average) and task completion (task in progress vs. completed) were manipulated. In Study 2 (N = 115), participants were in a real situation in which they achieved either a successful or average performance outcome. Task completion was manipulated (task in progress vs. completed) and motivation to engage in a pleasant experience was assessed by a behavioral measure. Results of both studies provided support for our prediction by showing individuals to have a lower desire to engage in pleasant experiences following successful, but not average, performance when the task was in progress than when it was complete. These findings are discussed in light of the underlying mechanisms and consequences of the tendency to forego pleasant experiences.