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Author(s): Möwisch, Dave; Brose, Annette; Schmiedek, Florian
Title: Do higher educated people feel better in everyday life? Insights from a day reconstruction method study
In: Social Indicators Research, 153 (2021) , S. 227-250
DOI: 10.1007/s11205-020-02472-y
URL: https://link.springer.com/article/10.1007%2Fs11205-020-02472-y
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Bildungsniveau; Wohlbefinden; Affektives Merkmal; Alltagserfahrung; Tagesablauf; Rekonstruktion; Datenanalyse; Sekundäranalyse; Sozioökonomisches Panel; Mehrebenenanalyse; Strukturgleichungsmodell; Deutschland
Abstract: Past research has shown a positive association between education and well-being. Much of this research has focused on the cognitive component of well-being (i.e., life satisfaction) as outcome. On the other hand, the affective component, that is, how often and intensively people experience positive affect (PA) and negative affect (NA) in their everyday lives, has received far less attention. Therefore, we examined the association between education and PA and NA in everyday life, with a particular focus on affective experiences at the sub-facet level (based on a structure of NA with multiple factors). We used data from a nationally representative sample (N = 1647) of the German Socioeconomic Panel Innovation Sample (SOEP-IS), employing the Day Reconstruction Method (DRM) to capture affective experiences of everyday activities. Multilevel structural equation models revealed that (1) education was not related to PA, but (2) was positively associated with two sub-facets of NA (mourning/worries and loneliness/boredom); (3) income might in part explain the association between education and NA; (4) education does not particularly seem to serve as a resource in times of unemployment or retirement (i.e., there were no interactions between education and unemployment/retirement regarding well-being) In essence, higher educated people reported fewer negative emotions in everyday life than their lower educated counterparts, but not more positive emotions. The findings underline that different facets of NA, in addition to life satisfaction, are relevant variables related to education and should receive more attention in order to gain a more comprehensive understanding of non-monetary correlates of education. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Neubauer, Andreas B.; Kramer, Andrea C.; Schmidt, Andrea; Könen, Tanja; Dirk, Judith; Schmiedek, Florian
Title: Reciprocal relations of subjective sleep quality and affective well-being in late childhood
In: Developmental Psychology, 57 (2021) 8, S. 1372-1386
DOI: 10.1037/dev0001209
URN: urn:nbn:de:0111-pedocs-252136
URL: https://nbn-resolving.org/urn:nbn:de:0111-pedocs-252136
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Deutschland; Kind; Grundschulalter; Schlaf; Qualität; Wirkung; Wohlbefinden; Negativität; Subjektivität; Affekt; Tagesablauf; Emotionaler Zustand; Messverfahren; Test; Mehrebenenanalyse; Strukturgleichungsmodell
Abstract: High sleep quality has been associated with beneficial outcomes across the life span. Intensive longitudinal studies suggest that these beneficial effects can also be observed on a day-to-day level. However, the dynamic interplay between subjective sleep quality and affective well-being in children's daily life has only rarely been investigated. The aims of the present work were (a) to replicate findings from a prior ambulatory assessment study in this area (Könen et al., 2016), (b) to explore the effect of subjective sleep quality on well-being throughout the day, and (c) to examine the reciprocal relation between subjective sleep quality and well-being in more detail. Data from two ambulatory assessment studies with children between 8 and 11 years (N = 108/84, with assessments over 28/21 consecutive days) consistently showed that positive affect was higher and negative affect was lower after nights with better sleep quality, and that the effects of subjective sleep quality were stronger on well-being assessed in the morning compared with later in the day. Results from dynamic structural equation models revealed reciprocal effects of subjective sleep quality and positive affect. Negative affect was not consistently related to worse subsequent sleep quality after controlling for positive affect and prior night's sleep quality. Results suggest a close relation of sleep quality and positive affect, which strengthens the idea behind interventions targeting both, children's sleep and well-being. Differences between children in the dynamic interplay between sleep and affect may be important predictors of long-term outcomes. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Neubauer, Andreas B.; Schmidt, Andrea; Kramer, Andrea C.; Schmiedek, Florian
Title: A little autonomy support goes a long way. Daily autonomy-supportive parenting, child well-being, parental need fulfillment, and change in child, family, and parent adjustment across the adaptation to the COVID-19 pandemic
In: Child Development, 92 (2021) 5, S. 1679-1697
DOI: 10.1111/cdev.13515
URN: urn:nbn:de:0111-dipfdocs-252301
URL: https://www.pedocs.de/volltexte/2022/25230/pdf/Child_Development_2021_Neubauer_et_al_A_Little_Autonomy_Support_Goes_a_Long_Way_A.pdf
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Mehrebenenanalyse; Deutschland; Pandemie; Eltern; Kind; Selbstständigkeit; Unterstützung; Wirkung; Verhalten; Wohlbefinden; Bedürfnisbefriedigung; Veränderung; Verhaltensänderung; Anpassung; Familienleben; Stress; Vitalität; Befragung; Fragebogen; Längsschnittuntersuchung; Strukturgleichungsmodell
Abstract: This study examined the effects of daily parental autonomy support on changes in child behavior, family environment, and parental well‐being across 3 weeks during the COVID‐19 pandemic in Germany. Day‐to‐day associations among autonomy‐supportive parenting, parental need fulfillment, and child well‐being were also assessed. Parents (longitudinal N = 469; Mage = 42.93, SDage = 6.40) of school children (6-19 years) reported on adjustment measures at two measurement occasions and completed up to 21 daily online questionnaires in the weeks between these assessments. Results from dynamic structural equation models suggested reciprocal positive relations among autonomy‐supportive parenting and parental need fulfillment. Daily parental autonomy support, parental need fulfillment, and child well‐being partially predicted change in adjustment measures highlighting the central role of daily parenting for children's adjustment during the pandemic. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus
Title: Literature review on co-located collaboration modeling using multimodal learning analytics. Can we go the whole nine yards?
In: IEEE Transactions on Learning Technologies, 14 (2021) 3, S. 367-385
DOI: 10.1109/TLT.2021.3097766
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9490371
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Learning Analytics; Modell; Kooperation; Gruppenarbeit; Qualität; Indikator; Einflussfaktor; Situation; Soziale Interaktion; Verhalten; Kommunikation; Nonverbale Kommunikation; Raum; Systematic Review
Abstract: Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of sensors, multimodal learning analytics has gained momentum to detect CC quality. Indicators (or low-level events) can be used to detect CC quality with the help of measurable markers (i.e., indexes composed of one or more indicators) which give the high-level collaboration process definition. However, this understanding is incomplete without considering the scenarios (such as problem solving or meetings) of CC. The scenario of CC affects the set of indicators considered: for instance, in collaborative programming, grabbing the mouse from the partner is an indicator of collaboration; whereas in collaborative meetings, eye gaze, and audio level are indicators of collaboration. This can be a result of the differing goals and fundamental parameters (such as group behavior, interaction, or composition) in each scenario. In this review, we present our work on profiles of indicators on the basis of a scenario-driven prioritization, the parameters in different CC scenarios are mapped onto the indicators and the available indexes. This defines the conceptual model to support the design of a CC quality detection and prediction system. (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung
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Author(s): Schmidt, Andrea; Dirk, Judith; Schmiedek, Florian
Title: The power of everyday peer relatedness in predicting subjective well-being after school transition
In: Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 52 (2021) 3/4, S. 64-74
DOI: 10.1026/0049-8637/a000220
URL: https://econtent.hogrefe.com/doi/10.1026/0049-8637/a000220
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language: Englisch
Keywords: Gymnasium; Weiterführende Schule; Übergang; Schüler; Wohlbefinden; Peergroup; Soziale Beziehung; Gemeinschaft; Ausgrenzung; Affekt; Emotion; Anpassung; Verhaltensauffälligkeit; Schulangst; Zufriedenheit; Frustration; Forschungsprojekt; Schuljahr 05; Messung; Smartphone; Lehrer; Fragebogen; Datenanalyse; Strukturgleichungsmodell; Mehrebenenanalyse; Hessen; Deutschland
Abstract: Der Übergang an die weiterführende Schule stellt ein kritisches Lebensereignis für viele Kinder dar. Diese Studie untersuchte 108 Kinder (M=10.11 Jahre, SD=0.44) in Deutschland innerhalb der ersten 12 Wochen nach dem Übergang ans Gymnasium. Tägliche Erfüllung und Frustration des Bedürfnisses nach sozialer Zugehörigkeit in die Klassengemeinschaft dienten als Prädiktoren der Verläufe kindlichen Wohlbefindens sowie psychologischer Anpassung/Psychopathologie. Subjektives Wohlbefinden wurde in den Wochen 3 - 4 sowie in Woche 11 des Schuljahres erhoben. Dazwischen berichteten Kinder über 4 Wochen hinweg täglich ihre wahrgenommene soziale Eingebundenheit und Ausgrenzung in der Schule. Lehrkräfte berichteten die psychologische Anpassung/Psychopathologie jedes Kindes in den Wochen 11 - 12. Tägliche soziale Eingebundenheit ging mit einem Anstieg des positiven Affekts von Woche 3/4 zu Woche 11 einher, während tägliche soziale Ausgrenzung Anstiege des negativen Affekts und der Schulangst vorhersagte. Höhere soziale Eingebundenheit hing mit geringeren Lehrkraft-berichteten emotionalen Symptomen und Problemen mit Gleichaltrigen zusammen, während höhere soziale Ausgrenzung stärkere Verhaltensprobleme und Hyperaktivität-Unaufmerksamkeit vorhersagte. (DIPF/Orig.)
Abstract (english): The transition from primary to secondary school represents a challenging life event. This study examined 108 children (age M = 10.11 years, SD = 0.44) in Germany during the first 12 weeks at a new school. Daily satisfaction and frustration of the basic need for relatedness were examined as predictors of subjective well-being versus ill-being and adjustment versus psychopathology. Subjective well-being or ill-being was assessed at weeks 3 - 4 and week 11 of the school year. In between, there was a 4-week period of daily assessments of perceived relatedness satisfaction and frustration. Teachers indicated each child's psychological adjustment or psychopathology (e. g., emotional symptoms) in weeks 11 - 12. Daily relatedness satisfaction was associated with increases in positive affect from weeks 3 - 4 to week 11, while daily relatedness frustration was linked to an increase in negative affect and school anxiety. Furthermore, daily relatedness satisfaction was negatively linked to teacher-reported emotional symptoms and peer problems at weeks 11 - 12, and daily relatedness frustration was positively associated with teacher-reported conduct problems and hyperactivity-inattention. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin
Title: Developing personalized education. A dynamic framework
In: Educational Psychology Review, 33 (2021) 3, S. 863-882
DOI: 10.1007/s10648-020-09570-w
URN: urn:nbn:de:0111-pedocs-252373
URL: https://nbn-resolving.org/urn:nbn:de:0111-pedocs-252373
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Unterricht; Individualisierung; Adaptiver Unterricht; Lernender; Lernprozess; Datenerhebung; E-Learning; Lernumgebung; Schulklasse; Binnendifferenzierung; Forschungsstand; Lerndynamik; Modellbildung; Unterrichtsgestaltung; Lernforschung; Lehr-Lern-Forschung
Abstract: Personalized education - the systematic adaption of instruction to individual learners - has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when relevant learner characteristics are measured repeatedly during the learning process and when these data are used to adapt instruction in a systematic way. Building on these observations, we propose a novel, dynamic framework of personalization that conceptualizes learners as dynamic entities that change during and in interaction with the instructional process. As these dynamics manifest on different timescales, so do the opportunities for instructional adaptions - ranging from setting appropriate learning goals at the macroscale to reacting to affective-motivational fluctuations at the microscale. We argue that instructional design needs to take these dynamics into account in order to adapt to a specific learner at a specific point in time. Finally, we provide some examples of successful, dynamic adaptations and discuss future directions that arise from a dynamic conceptualization of personalization. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Theobald, Maria; Bellhäuser, Henrik; Nückles, Matthias
Title: Inside self-regulated learning. Measuring and predicting intraindividual and interindividual variation in self-regulated learning over time
In: Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 51 (2021) 4, S. 183-189
DOI: 10.1026/0049-8637/a000224
URL: https://econtent.hogrefe.com/doi/10.1026/0049-8637/a000224
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Bibliografien/Rezensionen u.ä. (z.B. Linktipps)
Language: Englisch
Keywords: Lernen; Selbstregulation; Student; Lernstrategie; Lernprozess; Modell; Messung; Lerntagebuch; Empirische Forschung
Abstract: The present introductory article is organized as follows: First, we describe strategies and assessment methods to set a common research framework. Second, we summarize the design and key findings of the studies in this special issue. Third, we discuss implications for SRL assessment, SRL models, and SRL interventions that open up avenues for further research. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Wolf, Kristin; Maurer, Christina; Kunter, Mareike
Title: I don't really belong here. Examining sense of belonging in immigrant and nonimmigrant teacher students
In: Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 53 (2021) 1/2, S. 1-14
DOI: 10.1026/0049-8637/a000233
URL: https://econtent.hogrefe.com/doi/10.1026/0049-8637/a000233
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language: Englisch
Keywords: Lehramtsstudent; Migrationshintergrund; Soziale Beziehung; Gemeinschaft; Studienabbruch; Hochschulbildung; Lehrerausbildung; Studienfach; Universität; Student; Befragung; Datenanalyse; Strukturgleichungsmodell; Empirische Untersuchung; Deutschland
Abstract: Die vorliegende Studie untersucht die Bedeutung des Zugehörigkeitsgefühls von Lehramtsstudierenden für deren Studienabbruchintention mit besonderer Berücksichtigung von Studierenden mit Migrationshintergrund. Es wurden 925 deutsche Lehramtsstudierende zu zwei Messzeitpunkten befragt. Die Ergebnisse bestätigen die Bedeutung des Zugehörigkeitsgefühls für die Studienabbruchintention von Lehramtsstudierenden. Strukturgleichungsmodelle zeigen, dass Studierende mit Migrationshintergrund ein geringeres Zugehörigkeitsgefühl und höhere Studienabbruchintention berichten. (DIPF/Orig.)
Abstract (english): The present study investigates the role of sense of belonging on dropout intention in teacher education with a special focus on immigrant teacher students. We present data from a survey of 925 German teacher students using two times of measurement. The results confirm the significance of sense of belonging for the dropout rate among students in teacher education and support our hypotheses that immigrant students show a lower sense of belonging and higher dropout intentions. (DIPF/Orig.)
DIPF-Departments: Lehr und Lernqualität in Bildungseinrichtungen
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Author(s): Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin
Title: Applying psychometric modeling to aid feature engineering in predictive log-data analytics. The NAEP EDM Competition
In: Journal of Educational Data Mining, 13 (2021) 2, S. 80-107
DOI: 10.5281/zenodo.5275316
URN: urn:nbn:de:0111-dipfdocs-250034
URL: https://nbn-resolving.org/urn:nbn:de:0111-dipfdocs-250034
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language: Englisch
Keywords: Psychometrie; Modellierung; Protokoll; Datenanalyse; Testverhalten; Cluster
Abstract (english): The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal Response Time Model for estimating latent person speed, and the Generalized Partial Credit Model for estimating latent person ability. Additionally, we adopted an n-gram feature approach for event sequences. Furthermore, instead of using the provided binary target label, we distinguished inefficient test takers who were going too fast and those who were going too slow for training a multi-label classifier. Our best-performing ensemble classifier comprised three sets of low-dimensional classifiers, dominated by test-taker speed. While our classifier reached moderate performance, relative to the competition leaderboard, our approach makes two important contributions. First, we show how classifiers that contain features engineered through literature-derived domain knowledge can provide meaningful predictions if results can be contextualized to test administrators who wish to intervene or take action. Second, our re-engineering of test scores enabled us to incorporate person ability into the models. However, ability was hardly predictive of efficient behavior, leading to the conclusion that the target label's validity needs to be questioned. Beyond competition-related findings, we furthermore report a state sequence analysis for demonstrating the viability of the employed tools. The latter yielded four different test-taking types that described distinctive differences between test takers, providing relevant implications for assessment practice. (DIPF/Orig.)
DIPF-Departments: Lehr und Lernqualität in Bildungseinrichtungen
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Author(s): Scheffel, Maren; Schmitz, Marcel; van Hooijdonk, Judith; van Limbeek, Evelien; Kockelkoren, Chris; Joppe, Didi; Drachsler, Hendrik
Title: The Design Cycle for Education (DC4E)
In: Kienle, Andrea; Harrer, Andreas; Haake, Jörg M.; Lingnau, Andreas (Hrsg.): DeLFI 2021: Die 19. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., 13.-15. September 2021, Online, Bonn: Gesellschaft für Informatik, 2021 , S. 229-240
URL: https://dl.gi.de/handle/20.500.12116/37016
Publication Type: 4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
Keywords: Blended Learning; Lerndesign; Lernen; Online-Kurs; E-Learning; Design; Modell
Abstract (english): The need for more and better online and blended education has lately become even more apparent. Many educational institutions had to pivot to emergency remote teaching. While online learning in itself is nothing new, the scope, suddenness and speed of this shift certainly was. However, courses and modules created for face-to-face settings, cannot simply be turned into blended or fully online ones easily. Learning design models can provide guidelines and guidance. Often, however, they are not constructed in a comprehensive way and are mainly conceptual. We thus created a procedural design model enriched with templates, tools, information and design examples to specifically support and facilitate the (re)design of blended and online learning and teaching and to thus provide quality education: the Design Cycle for Education (DC4E). (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung