Explaining the changes in procrastination in an ACT-based course - psychological flexibility and time and effort management as mediators

Introduction

The aim of our study is to explore the relationship between procrastination, time management skills and psychological flexibility and the changes in them during an Acceptance and Commitment therapy (ACT)-based course that included time management training. We also explored the effects of time management skills and psychological flexibility on procrastination. The study used an experimental design in an ACT-based well-being course that included time management training.

Methods

The participants were 109 students taking the course and 27 waiting list students. Analyses were conducted with Pearson correlation, mixed ANOVA and causal mediation analysis.

Results and discussion

Our results show that time management skills, psychological flexibility and procrastination were related to each other, and all changed during the course. In addition, change in both time management and psychological flexibility had an impact on the change in procrastination during the course. The results show that both time management and psychological flexibility influence the change in procrastination during an ACT-based course.

Understanding procrastination: A case of a study skills course

Procrastination is consistently viewed as problematic to academic success and students’ general well-being. There are prevailing questions regarding the underlying and maintaining mechanisms of procrastination which are yet to be learnt. The aim of the present study was to combine different ways to explain procrastination and explore how students’ time and effort management skills, psychological flexibility and academic self-efficacy are connected to procrastination as they have been commonly addressed separately in previous studies. The data were collected from 135 students who participated in a voluntary time management and well-being course in autumn 2019. The results showed that students’ ability to organize their time and effort has the strongest association with procrastination out of the variables included in the study. Psychological flexibility also has a strong individual role in explaining procrastination along with time and effort management skills. Surprisingly, academic self-efficacy did not have a direct association with procrastination. Interestingly, our findings further suggest that time and effort management and psychological flexibility are closely related and appear to go hand in hand and, thus, both need to be considered when the aim is to reduce procrastination. The implications of the findings are further discussed.

All Happy Emotions Are Alike but Every Unhappy Emotion Is Unhappy in Its Own Way: A Network Perspective to Academic Emotions

Quantitative research into the nature of academic emotions has thus far been dominated by factor analyses of questionnaire data. Recently, psychometric network analysis has arisen as an alternative method of conceptualizing the composition of psychological phenomena such as emotions: while factor models view emotions as underlying causes of affects, cognitions and behavior, in network models psychological phenomena are viewed as arising from the interactions of their component parts. We argue that the network perspective is of interest to studies of academic emotions due to its compatibility with the theoretical assumptions of the control value theory of academic emotions. In this contribution we assess the structure of a Finnish questionnaire of academic emotions using both network analysis and exploratory factor analysis on cross-sectional data obtained during a single course. The global correlational structure of the network, investigated using the spinglass community detection analysis, differed from the results of the factor analysis mainly in that positive emotions were grouped in one community but loaded on different factors. Local associations between pairs of variables in the network model may arise due to different reasons, such as variable A causing variation in variable B or vice versa, or due to a latent variable affecting both. We view the relationship between feelings of self-efficacy and the other emotions as causal hypotheses, and argue that strengthening the students' self-efficacy may have a beneficial effect on the rest of the emotions they experienced on the course. Other local associations in the network model are argued to arise due to unmodeled latent variables. Future psychometric studies may benefit from combining network models and factor models in researching the structure of academic emotions.

Students’ and Teacher’s Experiences of the Validity and Reliability of Assessment in a Bioscience Course

<p>This case study explores the assessment of students’ learning outcomes in a second-year lecture course in biosciences. The aim is to deeply explore the teacher’s and the students’ experiences of the validity and reliability of assessment and to compare those perspectives. The data were collected through stimulated recall interviews. The results showed that grades did not always reflect the learning outcomes and that the intended level of understanding was not always measured. In addition, the teacher and the students thought that the assessment criteria were unclear, which in turn led to the unreliability of the assessment. These problems with the validity and reliability of assessment led to perceptions that the assessment was unfair. The results imply that grades should be critically evaluated as indicators of the quality of learning outcomes. In addition, practical implications are discussed.</p>

The relevance of prior knowledge in learning and instructional design

OBJECTIVES

To determine how different types of prior knowledge (declarative and procedural) impact student achievement and how prior-knowledge assessment can be used as an instructional design tool.

METHODS

A questionnaire was developed based on the prior-knowledge model, which distinguishes between declarative and procedural knowledge. One hundred fifteen pharmacy students were tested prior to beginning 4 successive basic science courses and then prior to beginning a pharmaceutical chemistry course. Regression analysis was used to determine which type of knowledge was the best predictor of student achievement. The 4 course instructors were interviewed and their comments analyzed.

RESULTS

Prior knowledge from previous courses significantly influenced student achievement. Procedural knowledge was especially related to student achievement. Instructors and students had mainly positive reactions towards the prior-knowledge tests.

CONCLUSIONS

Students' prior knowledge should be taken into consideration in instructional design and curriculum planning. Furthermore, the results of prior-knowledge assessments may be used as a tool for student support in addressing areas of deficiency.