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Grounded in the expectancy-value and hope theories, the present
study was conducted to examine the extent to which self-efficacy,
task value, and academic hope predict persistence among science
teacher-trainees in Uganda. The sample consisted of 278 undergrad-
uate science teacher-trainees selected from a large public university
in northern Uganda. Data were collected using several scales from
the modified Motivated Strategies for Learning Questionnaire,
Academic Hope Scale, and College Persistence Questionnaire and
analyzed using structural equation modeling. Task value and aca-
demic hope significantly predicted students’ persistence. Academic
hope made a greater contribution to students’ persistence compared
to task value. The combined effect of task value and academic hope
did not make any significant contribution to students’ persistence.
The study highlights the need to strengthen students’ hopeful think-
ing and task value in order to increase their chances of completing
their studies. Implications of the study findings for educational practice and for the training of science teacher-trainees are elaborated in the article.
Change in test-taking motivation and its relationship to test performance in low-stakes assessments
(2017)
Since the turn of the century, an increasing number of low-stakes assessments (i.e., assessments without direct consequences for the test-takers) are being used to evaluate the quality of educational systems. Internationally, research has shown that low-stakes test results can be biased due to students’ low test-taking motivation and that students’ effort levels can vary throughout a testing session involving both cognitive and noncognitive tests. Thus, it is possible that students’ motivation varies throughout a single cognitive test and in turn affects test performance. This study examines the change in test-taking motivation within a 2-h cognitive low-stakes test and its association with test performance. Based on expectancy-value theory, we assessed three components of test-taking motivation (expectancy for success, value, and effort) and investigated its change. Using data from a large-scale student achievement study of German ninth-graders, we employed second-order latent growth modeling and structural equation modeling to predict test performance in mathematics. On average, students’ effort and perceived value of the test decreased, whereas expectancy for success remained stable. Overall, initial test-taking motivation was a better predictor of test performance than change in motivation. Only the variability of change in the expectancy component was positively related to test performance. The theoretical and practical implications for test practitioners are discussed.
Over the past few years, studying abroad and other educational international experiences have become increasingly highly regarded. Nevertheless, research shows that only a minority of students actually take part in
academic mobility programs. But what is it that distinguishes those students who take up these international opportunities from those who do not? In this
study we reviewed recent quantitative studies on why (primarily German) students choose to travel abroad or not. This revealed a pattern of predictive factors. These indicate the key role played by students’ personal and social background, as well as previous international travel and the course of studies they are enrolled in. The study then focuses on teaching students. Both facilitating and debilitating factors are discussed and included in a model illustrating the decision-making process these students use. Finally, we discuss the practical implications for ways in which international, studyrelated travel might be increased in the future. We suggest that higher education institutions analyze individual student characteristics, offering differentiated programs to better meet the needs of different groups, thus raising the likelihood of disadvantaged students participating in academic international travel.
The purpose of this study is to examine whether teacher enthusiasm and classroom management self efficacy are related to classroom mastery orientation and student motivation. We used data from 803 students in grades 9 and 10 (53.3% girls) and their mathematics teachers (N = 41; 58.5% men). Student perceived teacher enthusiasm was related to classroom mastery orientation as well as to intrinsic value and cost at the student level. Teacher-reported self-efficacy was related to classroom mastery orientation at the classroom level. At both the individual and the classroom level, classroom mastery orientation was related to attainment and utility value.
Between-School Variation in Students' Achievement, Motivation, Affect, and Learning Strategies
(2017)
To plan group-randomized trials where treatment conditions are assigned to schools, researchers need design parameters that provide information about between-school differences in outcomes as well as the amount of variance that can be explained by covariates at the student (L1) and school (L2) levels. Most previous research has offered these parameters for U.S. samples and for achievement as the outcome. This paper and the online supplementary materials provide design parameters for 81 countries in three broad outcome categories (achievement, affect and motivation, and learning strategies) for domain-general and domain-specific (mathematics, reading, and science) measures. Sociodemographic characteristics were used as covariates. Data from representative samples of 15-year-old students stemmed from five cycles of the Programme for International Student Assessment (PISA; total number of students/schools: 1,905,147/70,098). Between-school differences as well as the amount of variance explained at L1 and L2 varied widely across countries and educational outcomes, demonstrating the limited generalizability of design parameters across these dimensions. The use of the design parameters to plan group-randomized trials is illustrated.
Many educational technology proponents support the Technological Pedagogical Content Knowledge (TPACK) model as a way to conceptualize teaching with technology, but recent TPACK research shows a need for empirical studies regarding the development of this knowledge. This proof-of-concept study applies mixed-methods to investigate the meta-cognitive awareness produced by teachers who participate in the Graphic Assessment of TPACK Instrument (GATI). This process involves creating graphical representations (circles of differing sizes and the degree of their overlap) that represent what teachers understand to be their current and aspired TPACK. This study documented teachers’ explanations during a think-aloud procedure as they created their GATI figures. The in-depth data from two German teachers who participated in the process captured the details of their experience and demonstrated the potential of the GATI to support teachers in reflecting about their professional knowledge and in determining their own professional development activities. These findings will be informative to future pilot studies involving the larger design of the GATI process, to better understand the role of teachers’ meta-conceptual awareness, and to better ascertain how the GATI might be used to support professional development on a larger scale.
"Gewalt an Schulen" ist ein emotional besetztes Thema in der öffentlichen Diskussion. Umso notwendiger ist eine sachliche und empirisch fundierte Auseinandersetzung. Das Buch gibt einen Überblick über Ausmaß, Erscheinungsformen und Ursachen von Gewalt und Mobbing an Schulen sowie über Möglichkeiten der Prävention bzw. Intervention. Es verbindet systematisch die Analyse der schulischen Gewaltphänomene mit Ansätzen der Gewaltprävention bzw. -intervention. Ein Schwerpunkt liegt dabei auf den schulischen Präventions- und Interventionsprogrammen, die einer kritischen Bewertung unterzogen werden. Der interdisziplinär angelegte Band, der Erkenntnisse der Erziehungswissenschaft, Psychologie und Soziologie integriert, verknüpft Ergebnisse der Gewaltforschung mit Anforderungen an eine moderne Präventionsarbeit im Kontext einer Schul- und Bildungsreform.
Learning analytics design
(2018)
Instructional designers use learning analytics information to evaluate designs of learning environments, learning materials, and tasks, and adjust difficulty levels, as well as measure the impact of interventions and feedback. Integrating real-time educational data and analysis into the design of learning environments, referred to as learning analytics design (LAD), seems to be a promising approach. Valid pedagogical recommendations may be suggested on the fly as learning analytics methodologies and visualizations evolve and as reliable tools become available and ready for classroom practice. This chapter aims to offer an overview on design and analytics of learning environments before reviewing opportunities of learning analytics design for optimizing learning environments in near real time. Learning analytics (LA) use static and dynamic information about learners and learning environments—assessing, eliciting, and analyzing them—for real-time modeling, prediction, and optimization of learning processes, learning environments, and educational decision-making.