Anxiety in the statistics class: Structural relations with self-concept, intrinsic value, and engagement in two samples of undergraduates

Using Motivation Assessment as a Teaching Tool for Large Undergraduate Courses: Reflections From the Teaching Team

Introduction

Student motivation is a critical predictor of academic achievement, engagement, and success in higher education. Motivating students is a crucial aspect of effective teaching.

Statement of the Problem

Although there is a wealth of research on student motivation, practical guidance for putting theory into practice in challenging teaching environments (i.e., large-format introductory courses) is lacking. We discuss a first step toward motivating students: understanding how motivated they are and using that information to inform teaching.

Literature Review

Anxiety, impeded motivation, and high student-to-teacher ratio are all challenges associated with teaching foundational introductory courses, such as statistics. The Expectancy-Value-Cost model of motivation provides theoretical background to assist with these courses. We discuss the implementation and use of motivation assessments as a teaching tool.

Teaching Implications

Motivation assessments are feasible and useful while teaching large-format introductory courses. Instructor reflections lend insights as to how to use these assessments to improve pedagogy.

Learning to be inventive in the face of statistics: A positive reappraisal intervention for statistics anxiety

BACKGROUND AND OBJECTIVES

The burden of statistics anxiety on students calls for effective interventions. This study investigated whether a cognitive reappraisal training designed to stimulate the generation of positive re-interpretations may yield behavioral changes in anxiety measures and changes in cerebral activation patterns reflecting the activation of approach/avoidance motivational tendencies (frontal EEG alpha asymmetry response).

METHODS

Three groups of female psychology students (n = 45) with statistics anxiety were tested. Two groups received a guided, two-week reappraisal training with either statistics-anxiety or general anxiety situations; the control group received no intervention.

RESULTS

Both training groups significantly increased their amount of positive re-interpretations from pre-to post-test compared to the control group. Increased habitual use of reappraisal in statistics situations and significant EEG changes reflecting more approach-oriented coping with anxiety occurred in the statistics-anxiety training group only. No changes in statistics anxiety and statistics attitudes were observed, suggesting that the training effects, though corroborated through neurophysiological changes, did not sufficiently translate to improving students' deep-rooted anxiety.

LIMITATIONS

Effects, though robust and following the same pattern, were observed in a small sample.

CONCLUSIONS

Our findings delineate a promising expandable approach for helping students' cope with statistics anxiety in a healthier way.

The Effects of Self-Esteem and Academic Engagement on University Students' Performance

The success or failure of a student depends on several factors, including self-esteem, academic engagement, and motivation. Self-esteem and motivation have been found to influence academic engagement, which, in turn, contributes to academic performance. Through a quantitative study, 243 university students were surveyed to analyze the effects of self-esteem and motivation on their academic engagement, which would be reflected in their academic performance. The results show that self-esteem has effects on emotional and behavioral disengagement. Motivation shows greater effects on academic engagement, with metacognitive engagement predicting students' academic performance. Therefore, promoting metacognitive strategies that help students learn to plan, monitor, and self-regulate their learning will contribute to their performance.

Mediating factors of statistics anxiety in university students: a systematic review and meta-analysis

Statistics plays a key role in many areas of modern society, including technology, social and behavior studies, economics, and the sciences. Statistics anxiety (SA) has a detrimental impact on academic experiences in university populations, although the mediating factors remain underexplored. We conducted the first systematic review and meta-analysis focused on SA in university students in the context of statistical performance, individual differences in statistical learning, self-perceptions regarding the statistics course and instructor, and sociodemographic factors. Searches were carried out in the PsycINFO, PubMed, Scielo, and Web of Science databases according to our preregistration. Forty studies were selected for systematic review. Seventeen were included in a series of six meta-analyses concerning academic achievement, attitudes, self-perception, procrastination, and gender. The findings reveal learning strategies, procrastination, self-efficacy, and self-awareness as predictors of SA. However, the impact of sociodemographic data in these moderators is still uncharted. We conclude with a critical appraisal of the selected studies and present future directions for research in SA.

Mobile Phones in Schools: With or Without you? Comparison of Students’ Anxiety Level and Class Engagement After Regular and Mobile-Free School Days

Mobile phones are important for people, especially for young adults and adolescents. As people tend to form attachments to not only social partners, but inanimate targets as well, mobile devices can become important objects that provide safety and security. This could lead to separation anxiety, also known as “nomophobia”. Constant need for mobile use may result in problematic behaviors in schools, cause distraction in class, it is important to explore the students’ relationship to devices. Our study compares state anxiety level of high school students on a regular school day and on an experimental “mobile-free day”, when participants do not carry their mobile phones during classes. We hypothesized that separation from the mobiles would increase anxiety and decrease class engagement, especially in students with higher mobile attachment scores. The sample consisted of 235 secondary school students. Results of Repeated Measures ANCOVA showed that anxiety levels increased on the mobile-free school day, but class engagement was not affected by the experiment. Linear regression analysis revealed ‘Safe Haven’ mobile attachment to be a significant predictor of state anxiety on the mobile free school day. Moreover, correlation analysis revealed that mobile use habits linked to social media and instant message services were associated with higher anxiety scores on the mobile-free school day. Our results provide more insights on both use of mobile phones in learning environment and regarding school regulations of students’ device use.

Investigating the Influence of Interaction on Learning Persistence in Online Settings: Moderation or Mediation of Academic Emotions?

Learning persistence is a critical element for successful online learning. The evidence provided by psychologists and educators has shown that students’ interaction (student-student (SS) interaction, student-instructor (SI) interaction, and student-content (SC) interaction) significantly affects their learning persistence, which is also related to their academic emotions. However, few studies explore the relations among students’ interaction, academic emotions and learning persistence in online learning environments. Furthermore, no research has focused on multi-dimensional students’ interaction and specific academic emotions. Based on person-environment interaction model and transactional distance theory, this study investigates the relationship between students’ interaction and learning persistence from the perspective of moderation and mediation of academic emotions including enjoyment, boredom, and anxiety. Data were collected from 339 students who had online learning experience in China. AMOS 22.0 (IBM, Armonk, NY, USA) and SPSS 22.0 (IBM, Armonk, NY, USA) were employed to analyze the mediating and moderating effects of academic emotions, respectively. The results revealed that students’ interaction and academic emotions directly related to learning persistence. Specifically, enjoyment, anxiety and boredom had significant mediating and moderating effects on the relationship between students’ interaction and learning persistence. Based on these findings, we further discussed the theoretical and practical implications on how to facilitate students’ learning persistence in online learning environments.

From Anxiety to Confidence: Exploring the Measurement of Statistics Confidence and its Relationship with Experience, Knowledge and Competence within Psychology Undergraduate Students

Psychology students often feel anxious about learning statistics, which can impact their performance. However, little research has explored statistics confidence, which may be an important way to reduce the negative connotations of associating statistics with anxiety. We aimed to explore whether modifying an existing measure of statistics anxiety (the STARS scale) and reframing the questions so students rated their confidence instead, would be associated with competence, prior knowledge and experience. A total of 104 undergraduate students completed an online questionnaire comprising these measures. The factor structure of the STARS scale was predominantly maintained when wording was changed to measure confidence instead of anxiety. Confidence was related to experience and competence, but not knowledge. Two aspects of confidence (interpretation of statistics and exam confidence) plus initial experiences were significant predictors of competence. Confidence was a mediator of the relationship between experience and competence. These findings suggest statistics confidence can be measured in a similar way to anxiety, and highlight areas that could be addressed to increase competence. Future research is needed to explore the relationship between statistics anxiety and statistics confidence, as well as to determine their individual impact on performance in assessments.

Teacher's Autonomy Support and Engagement in Math: Multiple Mediating Roles of Self-efficacy, Intrinsic Value, and Boredom

Previous studies have highlighted the impacts of environmental factors (teacher's autonomy support) and individual factors (self-efficacy, intrinsic value, and boredom) on academic engagement. This study aimed to investigate these variables and examine the relations among them. Three structural equation models tested the multiple mediational roles of self-efficacy, intrinsic value, and boredom in the relation between teacher's autonomy support and behavioral, emotional, and cognitive engagement, respectively, in math. A total of 637 Chinese middle school students (313 males, 324 females; mean age = 14.82) voluntarily participated in this study. Results revealed that self-efficacy, intrinsic value, and boredom played important and mediating roles between perceived teacher's autonomy support and student engagement. Specifically, these three individual variables partly mediated the relations between perceived teacher's autonomy support and behavioral and cognitive engagement, while fully mediating the relation between perceived teacher's autonomy support and emotional engagement. These findings complement and extend the understanding of factors affecting students' engagement in math.

The moderating role of intrinsic value in the relation between psychological needs support and academic engagement in mathematics among Chinese adolescent students

This study was to assess the moderating roles of intrinsic value in the relation of basic psychological needs support to academic engagement in mathematics. We recruited 246 middle school students by using the Basic Psychological Needs Support Scale, the Intrinsic Value Scale and the Academic Engagement Scale. This study found that both basic psychological needs support and intrinsic value had significant predictions on the three aspects of academic engagement. Moreover, the interaction item between basic psychological needs support and intrinsic value could significantly affect emotional and cognitive engagement, but not behavioural engagement. The findings indicated that except for behavioural engagement, the associations between basic psychological need support and emotional or cognitive engagement could be moderated by intrinsic value. This study provides a special perspective for educators and researchers to recognise the role of intrinsic value in promoting adolescents' higher levels of involvement in mathematics class.