370 Bildung und Erziehung
Refine
Has Fulltext
- yes (218)
Year of publication
- 2023 (3)
- 2022 (8)
- 2021 (1)
- 2020 (3)
- 2019 (7)
- 2018 (8)
- 2017 (10)
- 2016 (3)
- 2015 (4)
- 2014 (1)
- 2013 (2)
- 2012 (1)
- 2011 (2)
- 2010 (2)
- 2009 (4)
- 2008 (4)
- 2007 (1)
- 2006 (3)
- 2005 (7)
- 2004 (9)
- 2003 (9)
- 2002 (5)
- 2001 (3)
- 2000 (3)
- 1999 (4)
- 1997 (2)
- 1996 (2)
- 1995 (3)
- 1994 (4)
- 1993 (3)
- 1992 (7)
- 1991 (3)
- 1990 (3)
- 1989 (4)
- 1988 (5)
- 1987 (3)
- 1986 (4)
- 1985 (1)
- 1984 (4)
- 1983 (16)
- 1982 (1)
- 1981 (2)
- 1980 (3)
- 1979 (12)
- 1978 (6)
- 1977 (9)
- 1976 (5)
- 1975 (2)
- 1974 (1)
- 1973 (2)
- 1971 (2)
- 1970 (1)
Document Type
- Postprint (218) (remove)
Language
- German (159)
- English (49)
- Multiple languages (6)
- French (4)
Keywords
- Erwachsenenbildung (6)
- Didaktik (5)
- Längsschnittstudie (5)
- Lernen (4)
- Mannheim Study of Children at Risk (4)
- Mannheimer Risikokinderstudie (4)
- Subjektorientierung (4)
- Weiterbildung (4)
- longitudinal study (4)
- E-Learning (3)
Institute
- Department Erziehungswissenschaft (119)
- Department für Inklusionspädagogik (45)
- Humanwissenschaftliche Fakultät (28)
- Zentrum für Lehrerbildung und Bildungsforschung (ZeLB) (7)
- Strukturbereich Bildungswissenschaften (5)
- Department Psychologie (3)
- Wirtschaftswissenschaften (3)
- Strukturbereich Kognitionswissenschaften (2)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (2)
- Extern (1)
Many participants in Massive Open Online Courses are full-time employees seeking greater flexibility in their time commitment and the available learning paths. We recently addressed these requirements by splitting up our 6-week courses into three 2-week modules followed by a separate exam. Modularizing courses offers many advantages: Shorter modules are more sustainable and can be combined, reused, and incorporated into learning paths more easily. Time flexibility for learners is also improved as exams can now be offered multiple times per year, while the learning content is available independently. In this article, we answer the question of which impact this modularization has on key learning metrics, such as course completion rates, learning success, and no-show rates. Furthermore, we investigate the influence of longer breaks between modules on these metrics. According to our analysis, course modules facilitate more selective learning behaviors that encourage learners to focus on topics they are the most interested in. At the same time, participation in overarching exams across all modules seems to be less appealing compared to an integrated exam of a 6-week course. While breaks between the modules increase the distinctive appearance of individual modules, a break before the final exam further reduces initial interest in the exams. We further reveal that participation in self-paced courses as a preparation for the final exam is unlikely to attract new learners to the course offerings, even though learners' performance is comparable to instructor-paced courses. The results of our long-term study on course modularization provide a solid foundation for future research and enable educators to make informed decisions about the design of their courses.
Development of self-concept and task interest has been shown to be affected by social comparison processes in a variety of cross-sectional studies. A potential explanation for these effects is an effect of social comparative performance feedback on an individual’s self-evaluation of performance, which in turn influences development of self-concept and task interest. There are, however, only few studies addressing this topic with experimental designs. This study was aimed at closing this research gap by experimentally manipulating social comparative performance. Feedback given was based on 2 × 2 experimental conditions: social position (high vs. low) and average performance of the reference group (high vs. low). Results show a strong effect of social position on self-evaluation of performance and smaller effects on self-concept and task interest.
Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.
There is broad agreement among researchers to view mind wandering as an obstacle to learning because it draws attention away from learning tasks. Accordingly, empirical findings revealed negative correlations between the frequency of mind wandering during learning and various kinds of learning outcomes (e.g., text retention). However, a few studies have indicated positive effects of mind wandering on creativity in real-world learning environments. The present article reviews these studies and highlights potential benefits of mind wandering for learning mediated through creative processes. Furthermore, we propose various ways to promote useful mind wandering and, at the same time, minimize its negative impact on learning.
Recent research suggests that design thinking practices may foster the development of needed capabilities in new digitalised landscapes. However, existing publications represent individual contributions, and we lack a holistic understanding of the value of design thinking in a digital world. No review, to date, has offered a holistic retrospection of this research. In response, in this bibliometric review, we aim to shed light on the intellectual structure of multidisciplinary design thinking literature related to capabilities relevant to the digital world in higher education and business settings, highlight current trends and suggest further studies to advance theoretical and empirical underpinnings. Our study addresses this aim using bibliometric methods—bibliographic coupling and co-word analysis as they are particularly suitable for identifying current trends and future research priorities at the forefront of the research. Overall, bibliometric analyses of the publications dealing with the related topics published in the last 10 years (extracted from the Web of Science database) expose six trends and two possible future research developments highlighting the expanding scope of the design thinking scientific field related to capabilities required for the (more sustainable and human-centric) digital world. Relatedly, design thinking becomes a relevant approach to be included in higher education curricula and human resources training to prepare students and workers for the changing work demands. This paper is well-suited for education and business practitioners seeking to embed design thinking capabilities in their curricula and for design thinking and other scholars wanting to understand the field and possible directions for future research.
A multidimensional and analytical perspective on Open Educational Practices in the 21st century
(2022)
Participatory approaches to teaching and learning are experiencing a new lease on life in the 21st century as a result of the rapid technology development. Knowledge, practices, and tools can be shared across spatial and temporal boundaries in higher education by means of Open Educational Resources, Massive Open Online Courses, and open-source technologies. In this context, the Open Education Movement calls for new didactic approaches that encourage greater learner participation in formal higher education. Based on a representative literature review and focus group research, in this study an analytical framework was developed that enables researchers and practitioners to assess the form of participation in formal, collaborative teaching and learning practices. The analytical framework is focused on the micro-level of higher education, in particular on the interaction between students and lecturers when organizing the curriculum. For this purpose, the research reflects anew on the concept of participation, taking into account existing stage models for participation in the educational context. These are then brought together with the dimensions of teaching and learning processes, such as methods, objectives and content, etc. This paper aims to make a valuable contribution to the opening up of learning and teaching, and expands the discourse around possibilities for interpreting Open Educational Practices.
Refugee youth in protracted humanitarian contexts are faced with limited access to quality education. They may sustain traumatic experiences from conflicts and discrimination yet have limited psychosocial support access. Comprehending the magnitude and effects of these challenges is vital for designing and executing educational interventions in such contexts. This study evaluates the implementation quality of the Youth Education Pack intervention through the lens of the Inter-agency Network for Education in Emergencies minimum standards framework. It explores the types of discrimination experienced by refugee youth in the Dadaab refugee camp in Kenya. Nine participants comprising refugee students (N = 2), former refugee students (N = 2), teachers (N = 3), and project supervisors (N = 2) participated in the study. The first author conducted interviews and observations in the camp. The data were qualitatively coded deductively and analysed in Nvivo 12. We found that the YEP intervention faced contextual challenges that hindered the achievement of the implementation quality standards outlined in the INEE minimum standards for education. Refugee youth and refugee teachers experienced various forms of discrimination, including at individual, institutional, and structural levels. We conclude that providing refugee youth with an inclusive and high-quality education is central to providing secure and long-term solutions to their challenges and adversities and may promote their psychosocial wellbeing.
Historische Schulforschung und Schulentwicklungsforschung haben an schulischen Reformprozessen zwar ein vergleichbares Forschungsinteresse, stehen aber bislang nicht im wissenschaftlichen Dialog. Gleichwohl existierten nahezu sämtliche Praxen der gegenwärtigen Schul- und Unterrichtsentwicklung bereits in den Schulreformprozessen der historischen Reformpädagogik.
Auf der Grundlage von elf bildungshistorischen und schulpädagogischen Quellenstudien wird ein Struktur- und Handlungsmodell gelingender Schulreformprozesse entwickelt, das sich aus der akteursnahen Eigenlogik pädagogisch-praktischer Reformprozesse ableitet. Die Studien analysieren fallorientiert und quellengestützt die Reformpraxen an historischen Reformschulen des 20. Jahrhunderts und geben vertiefte Einblicke in historische Schul(reform)praxis.
Bezugspunkt ist dabei jeweils die Einzelschule als pädagogische Handlungseinheit. Die historisch-empirisch entwickelte „Fünf-plus-zwei-K-Struktur gelingender Schulreformprozesse“ wurde an 100 gegenwärtigen Reformschulen überprüft und konnte im Ergebnis in einem Zeitraum von rund einhundert Jahren als wiederkehrend validiert werden. Die Befunde tragen insgesamt zum pädagogischen Verständnis von Schulreformprozessen bei und bilden eine professionsnahe Referenz für die Theoriebildung innerhalb der Schulentwicklungsforschung.
Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings.
In intervention research, single-case experimental designs are an important way to gain insights into the causes of individual changes that yield high internal validity. They are commonly applied to examine the effectiveness of classroom-based interventions to reduce problem behavior in schools. At the same time, there is no consensus on good design characteristics of single-case experimental designs when dealing with behavioral problems in schools. Moreover, specific challenges arise concerning appropriate approaches to analyzing behavioral data. Our study addresses the interplay between the test power of piecewise regression analysis and important design specifications of single-case research designs. Here, we focus on the influence of the following specifications of single-case research designs: number of measurement times, the initial frequency of the behavior, intervention effect, and data trend. We conducted a Monte-Carlo study. First, simulated datasets were created with specific design conditions based on reviews of published single-case intervention studies. Following, data were analyzed using piecewise Poisson-regression models, and the influence of specific design specifications on the test power was investigated. Our results indicate that piecewise regressions have a high potential of adequately identifying the effects of interventions for single-case studies. At the same time, test power is strongly related to the specific design specifications of the single-case study: Few measurement times, especially in phase A, and low initial frequencies of the behavior make it impossible to detect even large intervention effects. Research designs with a high number of measurement times show robust power. The insights gained are highly relevant for researchers in the field, as decisions during the early stage of conceptualizing and planning single-case experimental design studies may impact the chance to identify an existing intervention effect during the research process correctly.