Students' emotions during homework: Structures,self-concept antecedents,and achievement outcomes

In the present study (N = 553; 8th and 11th grade students; 52% female) we investigated students' enjoyment, pride, anxiety, anger, and boredom while completing homework (homework emotions), and contrasted these emotions with those experienced during class (classroom emotions). Both homework emotions and classroom emotions were assessed separately for the domains of mathematics, physics, German, and English. Our hypotheses were based on propositions of the control-value theory of achievement emotions (Pekrun, 2006), Marsh and Ayotte's (2003) differential distinctiveness hypothesis, and previous empirical findings. In line with our assumptions, observed correlations between homework emotions and classroom emotions suggested that the emotions experienced in the two settings should be assessed separately. Within domains, both homework emotions and classroom emotions showed clear linkages with students' academic self-concept and achievement outcomes, with self-concept being slightly more strongly related to classroom emotions. Between-domain relations of emotions were significantly stronger for homework emotions as compared to classroom emotions, likely due to the relative situational homogeneity of homework settings across domains. Further, between-domain relations for emotions in both settings were weaker in 11th grade students, whereas within-domain relations did not differ as a function of age. Implications for research and educational practice are discussed.     

Online or face-to-face learning? Exploring the personal factors that predict students' choice of instructional format

Notwithstanding the growth of online learning, little is known about the personal factors that predict student decisions to enroll in online courses. This study examined the relations between several personal factors and students' choice of instructional format. After completing an online course, service academy undergraduates (N = 564) completed a survey that assessed their motivational beliefs (task value and self-efficacy), achievement-related emotions (enjoyment, boredom, and frustration), and satisfaction with the course. Results indicated that students who preferred to take future courses in an online format (as opposed to face-to-face) also reported greater confidence in their ability to learn online (self-efficacy) and greater satisfaction with their recent online learning experience. Logistic regression analysis confirmed and extended these findings, indicating that membership in the online preference group was predicted by higher self-efficacy and satisfaction, and lower task value beliefs. Taken together, results from this study provide researchers and practitioners with a better understanding of how several personal factors relate to students' choice of instructional format.     

Toward deep learning for adult students in online courses

Adult students have become the new majority in online distance education. Research in online distance education, however, is still predominantly based on the historical perspective of the traditional student profile. This study examines adult students' learning engagement in online courses and explores the impact of online course design models and the type of online discussion on adult students' self-perceived and observable learning performance. The study findings inform that age itself does not predict adult students' learning satisfaction and performance. Instead, an integrated course model promotes learning satisfaction, while a Content + Support course model reinforces knowledge–constructive online interactions. The study findings also indicate disadvantages of close-ended discussion tasks in supporting students' online learning success.     

Self-fulfilling prophecies in media-based learning: Content relevance moderates quality expectation effects on academic achievement

In the present paper a model of self-fulfilling prophecy effects in media-based learning was developed and tested. The central model assumption was that information about an instructional medium's quality affects students' academic achievement depending on the instructional content's relevance to the student. Experiment 1 (N = 100) demonstrated higher achievement in response to positive compared to negative information, but not the predicted moderating effect of content relevance. Using a revised relevance manipulation, Experiment 2 (N = 199) identified the following moderating function of content relevance: Under moderate relevance positive information led to higher achievement, under high relevance negative information resulted in higher achievement. No differences appeared under low relevance. Path analyses revealed students' cognitive effort as significant mediator for these effects.     

Expectancy-value appraisals and achievement emotions in an online learning environment: Within- and between-person relationships

Motivation and emotion are of critical importance for students' academic learning and achievement. Drawing on Eccles and Wigfield's situated expectancy-value theory and Pekrun's control-value theory, we examined to what extent specific expectancy-value appraisals related to studentsʼ achievement emotions. We collected intensive state data of N = 95 university students over one semester in an online learning environment. Students' appraisals were analyzed on different aggregation levels in a hierarchical design, which accounts for variability within learning situations and between students. Our results corroborated theoretical assumptions that expectancy-value appraisals are positively associated with positive emotions and negatively with negative emotions. However, we found that students experienced positive emotions in learning situations of high intrinsic and utility value, but not in situations of high attainment value. Examining appraisal combinations and discrete emotions, we found that particularly studentsʼ perceived costs moderated the relationship between expectancy and frustration and boredom on the situation level.     

Achievement and engagement: How student characteristics influence teacher judgments

Teachers' judgments of student characteristics are affected not only by the characteristic in question, but also by other factors. This article presents three studies examining whether students' achievement influences teachers' judgments of their engagement (as a proxy for motivation) and vice versa. First, a field study was conducted with N = 52 teachers and N = 1135 students. Structural equation modeling revealed an effect of student achievement on teacher judgments of student engagement and an effect of student engagement on teacher judgments of student achievement—above and beyond the association of each student characteristic with teacher judgments of that characteristic. These results were then replicated in two experimental studies involving a computer simulation of an instructional situation, the Simulated Classroom, with N = 40 and N = 181 teacher candidates, respectively. The psychological determinants of the effects observed are discussed, as are their practical implications.     

Judging students' achievement goal orientations: Are teacher ratings accurate?

Using the theoretical framework of achievement goal theory, this study investigated the accuracy of teachers' judgments of their students' motivation. Self-report data were gathered on the mastery, performance-approach, and performance-avoidance goals of 1140 German secondary school students (mean age = 14.24) in five academic subjects (English, Mathematics, German, second foreign language, and Biology). Their teachers in each of the five subjects (N = 176) were asked to judge students' achievement goals. Multilevel regression analyses revealed that teacher ratings of students' motivation statistically significantly predicted student ratings in all five subjects for mastery and performance-approach motivation, but not for performance-avoidance motivation. Assessment of differences in teachers' judgment accuracy across classrooms revealed some variability in teachers' ability to judge their students' mastery and performance-approach goals. Exploratory analyses showed that teaching experience, teacher gender, student age, and student gender did not systematically explain variation in judgment accuracy. Future research should examine other characteristics potentially influencing teachers' judgment accuracy and investigate the effect of teachers' judgment accuracy on students' motivation.     

Stability of teaching patterns in physics instruction: Findings from a video study

The study investigated variant and invariant physics teaching patterns across time and topics. It is assumed that the analysis perspective is decisive for identifying variant and invariant teaching patterns. Therefore, we focused on three perspectives: (1) organisation of activities, (2) quality of teacher–student interactions, and (3) students' perception of learning conditions. The design included three lessons of two topics (13 classes × 2 topics × 3 lessons) that were videotaped in each class. The findings indicate variants in teaching for the organisation of activities. Invariants were identified for teacher–student interactions and the students' perception of learning conditions.     

Structuring asynchronous discussion groups: Comparing scripting by assigning roles with regulation by cross-age peer tutors

The present study focuses on comparing the impact of role assignment and cross-age peer tutors on students' level of knowledge construction in 15 asynchronous discussion groups of nine students each in a first-year university course (N = 135). Content analysis was applied to analyse the level of knowledge construction in students' online postings. The results indicated that students in the tutor-supported discussions reached significantly higher levels of knowledge construction as compared to students in the role-supported group. These findings underline the value of regulation by cross-age peer tutors to foster freshmen's knowledge construction processes.     

Academic motivation and self-regulation: A comparative analysis of undergraduate and graduate students learning online

To succeed in autonomous online learning environments, it helps to be a highly motivated, self-regulated learner. The present study explored potential differences between undergraduate (n = 87) and graduate students (n = 107) in their levels of academic motivation and self-regulation while learning online. In particular, this study provides a comparative analysis of undergraduate and graduate students' motivational beliefs (task value and self-efficacy), use of deep processing strategies (elaboration and critical thinking), and motivational engagement (procrastination and choice behaviors). As hypothesized, graduate students learning online reported higher levels of critical thinking than undergraduates. Moreover, after controlling for experiential differences, a logistic regression analysis indicated that graduate student membership was predicted by higher levels of critical thinking and lower levels of procrastination. On the other hand, undergraduate membership was predicted, somewhat paradoxically, by greater task value beliefs and greater intentions to enroll in future online courses. Implications for online instructors and suggestions for future research are discussed.     

Online learning: Are subjective perceptions of instructional context related to academic success?

This study explored the extent to which students' thoughts, feelings, and actions are associated with the nature of an online course and how that course relates to them personally. Following completion of an online course in aviation physiology, service academy undergraduates (N = 481) completed a survey that assessed several motivational, emotional, and behavioral outcomes. Consistent with expectations, results from a logistic regression analysis revealed that students who said they were planning to become aviators upon graduation were more likely to report greater perceptions of task value and greater use of metacognitive control strategies than their non-aviator counterparts. On the other hand, after controlling for the other variables in the model, aviators were actually less likely to report being satisfied with the online course, an unexpected finding. Taken together, these results partially substantiate the social cognitive notion that subjective perceptions of the learning environment ultimately shape students' motivational and behavioral engagement in that environment. Implications for the theory and research of online learning are discussed.     

How you think about your intelligence determines how you feel in school: The role of theories of intelligence on academic emotions

Research on implicit theories of intelligence and academic emotions have proceeded in parallel with little cross-over of ideas. This study aims to examine the potential synergies that may exist between these two strands of research by examining whether implicit theories of intelligence can function as a predictor of academic emotions when situated within Pekrun's (2006) control-value theory of achievement emotions. Filipino secondary school students (N = 1147) participated in the study. Hierarchical regression analyses were employed to investigate the predictive effects of implicit theories of intelligence on academic emotions after controlling for the variance accounted for by demographic variables, social environmental factors, and achievement goals which have been identified as important antecedents in previous research. Results indicated that holding an entity theory of intelligence positively predicted negative emotions such as anger, anxiety, shame, hopelessness, and boredom. However, it was not significantly related to the positive emotions of enjoyment, hope, and pride. The usefulness of these findings for integrating theorizing in the implicit theories of intelligence and academic emotions literature is discussed.     

On the dynamics of students' approaches to learning: The effects of the teaching/learning environment

This study investigates the effects of the learning/teaching environment on students' approaches to learning (i.e. combination of intention and learning strategies) and compares a lecture based to a student-activating setting within the first year of elementary teacher education. Data collection (N = 790) was carried out using a pre-test/post-test method by means of the Approaches to Learning and Studying Inventory (ALSI). Though students' approaches were similar at the start of the course, a clear distinction was found after experiencing the lecture based and student-activating teaching/learning environments. However, the direction of change was opposite to the premise that student-activating instruction deepens student learning. Instead, the latter pushed students towards a Surface Approach to learning and students' Strategic Approaches suffered significant lowering.     

Attributional retraining and elaborative learning: Improving academic development through writing-based interventions

Attributional retraining (AR) is a motivational intervention that consistently produces improved performance by encouraging controllable failure attributions. Research suggests that cognitively engaging AR methods are ideal for high-elaborating students, whereas affect-oriented techniques are better for low-elaborating students. College students' (N = 749) elaborative learning was assessed in the first semester, after which students were assigned to one of three writing-based AR conditions (No AR, Cognitive AR, Affective AR). Academic performance (course grades, GPA), motivation, attributions, and emotions were assessed in the second semester. AR by elaboration (low/high) 3 × 2 ANCOVAs showed optimal results for high elaborators following cognitive AR, and for low elaborators following affective AR. Performance improvements for the former were mediated by improved cognitions (expectations), and for the latter were mediated by increased positive affect.     

High-school students' need for cognition,self-control capacity,and school achievement: Testing a mediation hypothesis

In the present article, we examine the hypothesis that high-school students' motivation to engage in cognitive endeavors (i.e., their need for cognition; NFC) is positively related to their dispositional self-control capacity. Furthermore, we test the prediction that the relation between NFC and school achievement is mediated by self-control capacity. A questionnaire study with grade ten high-school students (N = 604) revealed the expected relations between NFC, self-control capacity, and school achievement. Sobel tests showed that self-control capacity mediated the relation between NFC and school grades as well as grade retention.     

Student ratings of teaching quality in primary school: Dimensions and prediction of student outcomes

The contribution examines theoretical foundations, factorial structure, and predictive power of student ratings of teaching quality. Three basic dimensions of teaching quality have previously been described: classroom management, cognitive activation, and supportive climate. However, student ratings, especially those provided by primary school students, have been criticised for being biased by factors such as teacher popularity. The present study examines ratings of teaching quality and science learning among third graders. Results of multilevel confirmatory factor analyses (N = 1556 students, 89 classes) indicate that the three-dimensional model of teaching quality can be replicated in ratings of third graders. In a longitudinal study (N = 1070 students, 54 classes), we found ratings of classroom management to predict student achievement, and ratings of cognitive activation and supportive climate to predict students' development of subject-related interest after teacher popularity is controlled for. The analyses show that student ratings can be useful measures of teaching quality in primary school.     

Exploring the relations between epistemic beliefs,emotions, and learning from texts

Conflicting claims about important socio-scientific debates are proliferating in contemporary society. It is therefore important to understand the individual characteristics that predict learning from conflicting claims. We explored individuals’ beliefs about the nature of knowledge and knowing (i.e., epistemic beliefs) and their emotions as potentially interrelated sets of learner characteristics that predict learning in such contexts. Undergraduate university students (N = 282) self-reported their topic-specific epistemic beliefs and were given three conflicting texts about climate change to read. Immediately after each of the three texts, participants self-reported the emotions they experienced. Following reading and self-report, participants wrote summaries of the conflicting texts. Text-mining and human coding were applied to summaries to construct two indices of learning from conflicting texts that reflected which source’s information is privileged in memory. Results from structural equation modeling revealed that epistemic beliefs were consistent in their predictions of emotions, which in turn variously predicted different learning outcomes. In particular, a belief that knowledge is justified by inquiry predicted surprise and curiosity, which at times facilitated learning. In contrast, confusion, predicted by passive reliance on external sources, related to impaired memory of conflicting content. Theoretical and methodological implications are discussed for research on the relations between epistemic beliefs, emotions, and learning about controversial topics.     

Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning

Online learning continues to grow, but there is limited empirical research on the personal factors that influence success in online contexts. This investigation addresses this research gap by exploring the relations between several discrete achievement-related emotions (boredom, frustration, and enjoyment) and self-regulated learning behaviors (elaboration and metacognition) in an online course. Results from a survey of 302 undergraduates participating in an online course indicated that enjoyment, a positive activating emotion, was a positive predictor of elaboration and metacognition. Moreover, consistent with previous findings from a similar sample, frustration, a negative activating emotion, emerged as a positive predictor of metacognition. Implications for the theory, research, and practice of online learning are discussed, as are theoretical implications for understanding students' achievement emotions and self-regulated learning behaviors.     

The role of emotion in the learning process: Comparisons between online and face-to-face learning settings

As the presence of online and hybrid coursework at institutions of higher education has increased, so too has interest among educators and scholars in understanding personal and contextual factors that predict success in different types of learning environments. The purpose of the present study was to examine the relations among temporally-ordered variables, including beginning-semester self-efficacy, utility value, and relevance of instruction, mid-semester emotions (hope, frustration, and anxiety), and end-of-semester learning strategies in a sample of 291 graduate students (N = 219 for the traditional education group and N = 72 for the distance education group) enrolled in an introductory research methods course. Multigroup path analyses were performed to test the equality of path coefficients among the two groups. Results demonstrate that the groups differed with respect to several paths, including the paths from: extrinsic utility value to anxiety and to hope; relevance to hope; and frustration and anxiety to learning strategies. Implications for research, theory, and practice are discussed.