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Institute
Individualization can be defined as the adaptation of instructional parameters to relevant characteristics of a specific learner. This definition raises several questions, however: Which characteristics are actually relevant? Which parameters of instruction need to be adjusted, and in which way, to positively interact with those characteristics? In a classroom context, additional questions arise: how can information about the relevant learner characteristics be delivered to the teacher? How can individualized instruction be delivered to each learner in a context that has originally been designed for whole-class instruction? By focusing on the measurement and modelling of learner characteristics and instructional adaptations, this dissertation aims to provide an insight into each of these issues.
This dissertation is divided into two parts. The first part is concerned with the theoretical (Paper 1) and statistical (Paper 2) modeling of learner characteristics in the context of individualized instruction. The second part is concerned with the measurement (Paper 3) and implementation (Paper 4) of individualized instruction in the classroom context.
Paper 1 summarizes existing research on individualization from different research traditions. From this summary I derive the need for a dynamic conceptualization of learner characteristics (acknowledging that learners change during and in interaction with the learning process) and synthesize a dynamic framework that details the opportunities for individualization on three different timescales. Paper 2 reports results from an exploratory study that investigated the potential benefits of utilizing person-centered analysis for the assessment of multivariate learner prerequisites and their interaction with instruction. We found that latent profiles over several reading related abilities could explain differential effectiveness of self-reported teaching foci in German third grade reading lessons. These findings indicate not just a need for stronger individualization of teaching but also an advantage of multivariate conceptualizations of learner characteristics. Additionally, they show the utility of person-centered approaches for the investigation of such multivariate learner characteristics and their interaction with instruction.
In the second part, I investigate possible approaches to the implementation and measurement of individualization in a classroom context. Paper 3 investigates whether teacher-, student- and observer perspectives converge when rating the amount of individualization present in regular classroom instruction. We found considerable agreement between the perspectives, indicating a common understanding of the construct at the classroom level as well as providing some evidence for the validity of the used measurement instruments. Paper 4 replicates findings concerning the effectiveness of formative assessment procedures for fostering reading education, supplemented by a moderator analysis showing that only children with low performance at the beginning of the school-year profited from its implementation. This indicates that the information provided by formative assessment procedures helps teachers to identify struggling readers but does not seem to be utilized for adapting instruction to specific deficits of average or high performing children.
In sum, this dissertation contributes to research on individualized instruction by demonstrating necessary conditions for its effectiveness. It posits the need for a dynamic conceptualization of learner characteristics, demonstrates the advantage of multivariate learner profiles, and points out ways towards the successful implementation of individualized instruction in the classroom.
Im Rahmen der fortschreitenden Digitalisierung der Hochschullehre finden auch verstärkt elektronische Prüfungsformate Eingang in den Alltag von Hochschulen. Insbesondere elektronische Abschlussklausuren (E-Klausuren) bieten hier die Möglichkeit, die Prüfungsbelastung Hochschulehrender durch die Automatisierung weiter Teile der Klausurkonstruktion, -administration und -auswertung zu reduzieren. Die Integration digitaler Technologien in die Prüfungspraxis deutscher Hochschulen ermöglicht dabei nicht nur eine ökonomische Klausurkonstruktion, realitätsnähere Klausuren (z. B. durch die Nutzung fachspezifischer Standardsoftware), und den Einsatz innovativer Testbausteine (z. B. Integration von Multimediadateien in Items), sondern auch die Nutzung aktueller psychometrischer Methoden. Insbesondere die Konstruktion von Hochschulklausuren als kriteriumsorientierte, adaptive Tests (z. B. Spoden & Frey, 2021), hat das Potential Hochschulklausuren individualisierter, messpräzisier und fairer zu machen, sowie die Validität der aus der Klausurbearbeitung abgeleiteten Testwertinterpretationen zu steigern. Um kriteriumsorientierte, adaptive Hochschulklausuren in der Breite nutzbar zu machen, müssen allerdings zuvor einige Herausforderungen gemeistert werden, denen sich diese Arbeit widmet. Die in den vier Einzelarbeiten dieser Dissertation betrachteten Herausforderungen lassen sich auf einer psychometrischen, einer personalen und einer technischen Ebene verorten.
Auf der psychometrischen Ebene ist eine zentrale Herausforderung die ökonomische Kalibrierung des Itempools. Üblicherweise wird bei der Konstruktion adaptiver Tests eine dreistellige Anzahl an Items konstruiert und mittels einer separaten Kalibrierungsstudie im Vorlauf der operationalen Testanwendung mit mehreren hundert Testpersonen kalibriert. Die massierte Konstruktion vieler Items und die Durchführung einer zusätzlichen empirischen Studie lässt sich im Rahmen von Hochschulklausuren nur schwer realisieren. Im ersten Einzelbeitrag wird daher eine neuartige kontinuierliche Kalibrierungsstrategie (KKS) vorgestellt und im Rahmen einer Monte-Carlo-Simulation hinsichtlich ihrer psychometrischen Eigenschaften geprüft. Zusammenfassend ermöglicht die KKS, adaptive Tests während wiederkehrender Testanwendungen bei konstanter Berichtsmetrik, Kontrolle von Itemparameter-Drift und fortlaufender Ergänzung des Itempools zu kalibrieren. Es zeigt sich, dass die KKS selbst für sehr kleine Stichproben eine geeignete Methode darstellt, den Itempool über mehrere Testanwendungen hinweg fortlaufend zu kalibrieren.
Um die Berichtsmetrik dabei über die verschiedenen Testanwendungen hinweg konstant zu halten, und somit Vergleichbarkeit der Ergebnisse verschiedener Testzeitpunkte (z. B. Semester) zu gewährleisten, nutzt die KKS Equating-Methoden (z. B. Kolen & Brennan, 2014) zum Herstellen einer statistischen Verbindung zwischen Klausurdurchläufen. Die Qualität dieser statistischen Verbindung hängt dabei von verschiedenen Parametern ab. Im zweiten Einzelbeitrag werden daher verschiedene Konfigurationen der in die KKS implementierten Equating-Prozedur hinsichtlich ihres Einflusses auf die Qualität der Parameterschätzungen im Rahmen einer Monte-Carlo-Simulation untersucht und auf Basis der Ergebnisse praktische Empfehlungen abgleitet. Hierfür werden unter anderem die Schwierigkeitsverteilung der genutzten Linkitems sowie die verwendete Skalentransformationsmethode variiert. Es zeigt sich, dass die KKS unter verschiedenen Konfigurationen in der Lage ist, die Skala über mehrere Testzyklen hinweg konstant zu halten. Normal- beziehungsweise gleichverteile Schwierigkeitsverteilungen der Linkitems sowie die Stocking-Lord-Skalentransformationsmethode (Stocking & Lord, 1983) erweisen sich hierbei am vorteilhaftesten.
Auf personaler Ebene stellt die Akzeptanz seitens der Hochschullehrenden einen kritischen Erfolgsfaktor für die Implementation neuer E-Learning Systeme in Lehrveranstaltungen dar. Angelehnt an Technologieakzeptanzmodellen (z. B. Technology Acceptance Model; Davis, 1989) wird im dritten Einzelbeitrag ein empirisch prüfbares Modell – das Technology-based Exams Acceptance Model (TEAM) – zur Vorhersage der Intention zur Nutzung von adaptiven und nicht-adaptiven E-Klausursystemen seitens Hochschullehrender vorgeschlagen und anhand der Daten von N = 993 deutschen Hochschullehrenden empirisch geprüft. Das postulierte Modell weist einen guten Modellfit auf. Die Ergebnisse weisen die wahrgenommene Nützlichkeit als Schlüsselprädiktor für die Nutzungsintention aus. Medienbezogene Variablen haben indirekte Effekte auf die wahrgenommene Nützlichkeit, mediiert über vorherige Nutzungserfahrungen mit Bildungstechnologien. Darüber hinaus spielt die subjektive Norm eine wichtige Rolle bei der Erklärung der Akzeptanz von E-Klausuren...
Since 2020, the COVID-19 pandemic had an impact on education worldwide. There is increased discussion of possible negative effects on students’ learning outcomes and the need for targeted support. We examined fourth graders’ reading achievement based on a school panel study, representative on the student level, with N = 111 elementary schools in Germany (total: N = 4,290 students, age: 9–10 years). The students were tested with the Progress in International Reading Literacy Study instruments in 2016 and 2021. The analysis focused on (1) total average differences in reading achievement between 2016 and 2021, (2) average differences controlling for student composition, and (3) changes in achievement gaps between student subgroups (i.e., immigration background, socio-cultural capital, and gender). The methodological approach met international standards for the analysis of large-scale assessments (i.e., multiple multi-level imputation, plausible values, and clustered mixed-effect regression). The results showed a substantial decline in mean reading achievement. The decline corresponds to one-third of a year of learning, even after controlling for changes in student composition. We found no statistically significant changes of achievement gaps between student subgroups, despite numerical tendencies toward a widening of achievement gaps between students with and without immigration background. It is likely that this sharp achievement decline was related to the COVID-19 pandemic. The findings are discussed in terms of further research needs, practical implications for educating current student cohorts, and educational policy decisions regarding actions in crises such as the COVID-19 pandemic.
The purpose of this study was to investigate which social groups are perceived as a threat target and which are perceived as a threat source during the COVID-19 outbreak. In a German sample (N = 1454) we examined perceptions of social groups ranging from those that are psychologically close and smaller (family, friends, neighbors) to those that are more distal and larger (people living in Germany, humankind). We hypothesized that psychologically closer groups would be perceived as less affected by COVID-19 as well as less threatening than more psychologically distal groups. Based on social identity theorizing, we also hypothesized that stronger identification with humankind would change these patterns. Furthermore, we explored how these threat perceptions relate to adherence to COVID-19 health guidelines. In line with our hypotheses, latent random-slope modelling revealed that psychologically distal and larger groups were perceived as more affected by COVID-19 and as more threatening than psychologically closer and smaller groups. Including identification with humankind as a predictor into the threat target model resulted in a steeper increase in threat target perception patterns, whereas identification with humankind did not predict differences in threat source perceptions. Additionally, an increase in threat source perceptions across social groups was associated with more adherence to health guidelines, whereas an increase in threat target perceptions was not. We fully replicated these findings in a subgroup from the original sample (N = 989) four weeks later. We argue that societal recovery from this and other crises will be supported by an inclusive approach informed by a sense of our common identity as human beings.
Objectives: To investigate whether citizens’ adherence to health-protective non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic is predicted by identity leadership, wherein leaders are perceived to create a sense of shared national identity.
Design: Observational two-wave study. Hypotheses testing was conducted with structural equation modelling.
Setting: Data collection during the COVID-19 pandemic in China, Germany, Israel and the USA in April/May 2020 and four weeks later.
Participants: Adults in China (n=548, 66.6% women), Germany (n=182, 78% women), Israel (n=198, 51.0% women) and the USA (n=108, 58.3% women).
Measures: Identity leadership (assessed by the four-item Identity Leadership Inventory Short-Form) at Time 1, perceived shared national identification (PSNI; assessed with four items) and adherence to health-protective NPIs (assessed with 10 items that describe different health-protective interventions; for example, wearing face masks) at Time 2.
Results: Identity leadership was positively associated with PSNI (95% CI0.11 to 0.30, p<0.001) in all countries. This, in turn, was related to more adherence to health-protective NPIs in all countries (95% CI 0.03 to 0.36, 0.001≤p≤0.017) except Israel (95% CI−0.03 to 0.27, p=0.119). In Germany, the more people saw Chancellor Merkel as engaging in identity leadership, the more they adhered to health-protective NPIs (95% CI 0.04 to 0.18, p=0.002). In the USA, in contrast, the more people perceived President Trump as engaging in identity leadership, the less they adhered to health-protective NPIs (95% CI−0.17 to −0.04, p=0.002).
Conclusions: National leaders can make a difference by promoting a sense of shared identity among their citizens because people are more inclined to follow health-protective NPIs to the extent that they feel part of a united ‘us’. However, the content of identity leadership (perceptions of what it means to be a nation’s citizen) is essential, because this can also encourage people to disregard such recommendations.
Über zwei Drittel aller Menschen erleben in ihrem Leben mindestens ein traumatisches Ereignis (Kessler et al., 2017). Gerade nach interpersonellen Traumatisierungen ist die Rate der Betroffenen, welche eine posttraumatische Belastungsstörung (PTBS) entwickeln, sehr hoch (z. B. ca. 50% nach sexuellem Missbrauch; Hauffa et al., 2011). In der Vergangenheit wurden Angst- und Ohnmachtsgefühle als zentrale der PTBS zu Grunde liegende Emotionen aufgefasst (Foa & Kozak, 1986). Neuere Forschungsbefunde legen jedoch nahe, dass traumabezogene Schuld- und Schamgefühle auch eine wichtige Rolle bei der Entstehung und Aufrechterhaltung der PTBS spielen (z. B. Badour et al., 2017). Dabei leiden besonders Betroffene von interpersonellen Gewalterfahrungen unter diesen Gefühlen (z. B. Badour et al., 2017).
Im Hinblick auf die psychotherapeutische Behandlung der PTBS haben sich traumafokussierte Verfahren als wirksam erwiesen (z. B. Lewis et al., 2020). Hohe Drop-out (z. B. Swift & Greenberg, 2014) und Nonresponse Raten (Fonzo et al., 2020) geben jedoch Hinweise darauf, dass nicht allen PTBS Patient*innen mit diesen Verfahren ausreichend geholfen werden kann, wobei insbesondere Patient*innen mit interpersonellen Traumatisierungen weniger gut davon zu profitieren scheinen (z. B. Karatzias et al., 2019). Zudem hat sich gezeigt, dass Schuldgefühle auch nach einer erfolgreichen PTBS Behandlung weiter persistieren (Larsen et al., 2019). Demnach besteht ein Bedarf an alternativen Therapieverfahren für Patient*innen mit interpersonellen Traumatisierungen und/oder Schuld- und Schamgefühlen.
Besonders vielversprechend sind hierbei achtsamkeitsbasierte Interventionen, die bereits in der PTBS Behandlung eine zunehmend bedeutsame Rolle spielen (Hopwood & Schutte, 2017). Eine wichtige Voraussetzung für die weitere Erforschung dieser Interventionen sind valide und reliable Verfahren zur Veränderungsmessung von Achtsamkeit (Isbel et al., 2020). So scheinen bisherige Studien jedoch hauptsächlich fragebogenbasierte Maße zur Erfassung von Veränderungen in Trait-Achtsamkeit eingesetzt zu haben, obwohl diese Interventionen eher auf die Steigerung von State-Achtsamkeit abzielen (Goodman et al., 2017). Darüber hinaus kristallisierten sich methodische Kritikpunkte in Bezug auf die Validität von Fragebögen zur Erfassung von Trait-Achtsamkeit heraus (van Dam et al., 2018). Demgegenüber erfassen Experience-Sampling Ansätze (z. B. Mindful-Breathing Exercise, MBE; Burg & Michalak, 2011) eher Aspekte der State-Achtsamkeit, sind jedoch in klinischen Untersuchungsstichproben bisher kaum untersucht worden. Darauf aufbauend fokussierte die erste Forschungsfrage der Dissertation die Untersuchung der MBE im klinischen Kontext. Ein Hauptbefund der Studie zeigte, dass die MBE bei PTBS Patient*innen hinsichtlich ihres Prädiktionswertes für die PTBS Symptome Übererregung und Intrusionen gegenüber fragebogenbasierter Trait-Achtsamkeit überlegen war. Mögliche Wirkmechanismen achtsamkeitsbasierter Interventionen könnten demnach durch den Einsatz der MBE besonders gut abgebildet werden.
Innerhalb der achtsamkeitsbasierten Interventionen kommt in der Behandlung der PTBS am häufigsten die Mindfulness Based Stress Reduction (MBSR; Kabat-Zinn, 2013) als standardisierte Gruppenintervention zum Einsatz (Boyd et al., 2018). Jedoch scheint die MBSR insbesondere für PTBS Patient*innen mit interpersonellen Traumatisierungen nicht eins-zu-eins anwendbar zu sein (Müller-Engelmann et al., 2017). Buddhistische Metta-Meditationen (dt.: Liebende Güte; Salzberg, 2002) sind vor diesem Hintergrund eine vielversprechende Ergänzung zu achtsamkeitsbasierten Interventionen. Metta-Meditationen zielen darauf ab, sich selbst sowie allen anderen Lebewesen bedingungsloses Wohlwollen und Freundlichkeit entgegen zu bringen (Bodhi, 2010). Metta-Meditationen sind noch weniger gut in der klinischen Forschung etabliert. Erste Befunde deuten jedoch darauf hin, dass sie bei PTBS Patient*innen zu einer Reduktion der PTBS Symptomatik führen können (z. B. Kearney et al., 2021). Folglich wurde im Rahmen der zweiten Forschungsfrage eine neue Intervention entwickelt und evaluiert, welche sich an den Bedürfnissen von PTBS Patient*innen mit interpersonellen Traumatisierungen orientiert. Sie kombiniert kürzere, PTBS spezifische Achtsamkeitsübungen mit angepassten Übungen aus MBSR sowie Metta-Meditationen (= Trauma-MILOKI). Trauma-MILOKI zeigte sich in einer multiplen Baseline Studie wirksam zur Reduktion der PTBS Symptome sowie zur Steigerung des Wohlbefindens.
Ein Wirkmechanismus von Metta-Meditationen ist die Förderung positiver Emotionen sowie des Gefühls sozialer Verbundenheit (Salzberg, 2002), weswegen sie auch besonders gut geeignet scheinen, traumabezogene Schuld- und Schamgefühle zu reduzieren. Darüber hinaus haben sich unter den etablierten Therapieverfahren v. a. kognitive Ansätze zur Reduktion von Schuldgefühlen als wirksam erwiesen (Resick et al., 2008)...
Background: The assessment of therapeutic adherence and competence is essential to understand mechanisms that contribute to treatment outcome. Nevertheless, their assessment is often neglected in psychotherapy research.
Aims/Objective: To develop an adherence and a treatment-specific competence rating scale for Dialectical Behaviour Therapy for Posttraumatic Stress Disorder (DBT-PTSD), and to examine their psychometric properties. Global cognitive behavioural therapeutic competence and disorder-specific therapeutic competence were assessed using already existing scales to confirm their psychometric properties in our sample of patients with PTSD and emotion regulation difficulties.
Method: Two rating scales were developed using an inductive procedure. 155 videotaped therapy sessions from a multicenter randomised controlled trial were rated by trained raters using these scales, 40 randomly chosen videotapes involving eleven therapists and fourteen patients were doubly rated by two raters.
Results: Both the adherence scale (Patient-level ICC = .98; αs = .65; αp = .75) and the treatment-specific competence scale (Patient-level ICC = .98; αs = .78; αp = .82) for DBT-PTSD showed excellent interrater – and good reliability on the patient level. Content validity, including relevance and appropriateness of all items, was confirmed by experts in DBT-PTSD for the new treatment-specific competence scale.
Conclusion: Our results indicate that both scales are reliable instruments. They will be useful to examine possible effects of adherence and treatment-specific competence on DBT-PTSD treatment outcome.
Understanding the brain's proactive nature and its ability to anticipate the future has been a longstanding pursuit in philosophy and scientific research. The predictive processing framework explains how the brain generates predictions based on environmental regularities and adapts to both predicted and unpredicted events. Prediction errors (PE) occur when sensory evidence deviates from predictions, triggering cognitive and neural processes that enhance learning and subsequent memory. However, the effects of PE on episodic memory have not been clearly explained. This dissertation aims to address three key questions to advance our understanding of PE and episodic memory. First, how does the degree of PE influence episodic memory, and how do expected and unexpected events interact in this process? Second, what insights can be gained from studying the electrophysiological activity associated with prediction violations, and what role does PE play in subsequent memory benefits? Lastly, how do memory processes change across the lifespan, and how does this impact the brain's ability to remember events? By answering these questions, this dissertation contributes to advancing our understanding of the cognitive and neural mechanisms underlying the relationship PE and episodic memory.
"Autonomy is the condition under which what one does reflects who one is" (Weinrib, 2019, p.8). This quote encapsulates the core idea of autonomy, namely the correspondence of one’s inner values with one’s actions. This is a beautiful idea. After all, who wants their actions to be determined or controlled from the outside?
The classical definition of autonomy is precisely about this independence from external circumstances, which Murray (1938) primarily coined. Among other things, Murray characterizes autonomy as resistance to influence and defiance of authority. Similarly, Piaget (1983) describes individuals as autonomous, independent of external influences, in their thinking and actions, and foremost, adult authority. Subsequent work criticized this equation of autonomy with separation or independence (Bekker, 1993; Chirkov et al., 2003; Hmel & Pincus, 2002). In lieu thereof, autonomy is defined as an ability (Chirkov, 2011; Rössler, 2017) and as an essential human need (Ryan & Deci, 2006). Focus is now
on self-governing while relying on rationally determined values to pursue a happy life (Chirkov, 2011). According to Social Determination Theory (SDT), autonomy is about a sense of initiative and responsibility for one’s own actions. The experience of interest and appreciation can strengthen autonomy, whereas experiences of external control, e.g., through rewards or punishments, limit autonomy (Ryan & Deci, 2020). In the psychological discourse of autonomy, SDT is strongly represented (Chirkov et al., 2003; Koestner & Losier, 1996; Weinstein et al., 2012). Notably, SDT distinguishes between autonomy and independence as follows. While a person can autonomously ask for help or rely on others, a person can also be involuntarily alone and independent. Interestingly, these definitions are again closer to its etymological meaning as self-governing, originating from Greek αυτòνoμζ (autonomous).
The two strands of autonomy as independence and autonomy as self-determination are also reflected in the vital differentiation into reactive and reflective autonomy by Koestner and Losier (1996). Resisting external influence, particularly interpersonal in fluence, is what reactive autonomy entails. This interpretation is closely related to the classical concept of autonomy as separation and independence from others (Murray, 1938). On the other hand, reflective autonomy concerns intrapersonal processes, such as self-governing or self-regulation, as defined in Self-Determination Theory (Ryan et al., 2021). In this dissertation, we investigated the concept in three different approaches while focusing on its assessment and operationalization: To begin, in Article 1, we compared the layperson’s and the scientific perspective to each other to gain insight into the characteristics of autonomy. Then, in Articles 2 and 3, we experimentally tested behavioral autonomy as resistance to external influences. Simultaneously, we investigated the link between various autonomy trait measures and autonomous behavior. As a result, in Article 2, we looked at how people reacted to the effects of message framing and sender authority on social distancing behavior during the early COVID-19 pandemic. Finally, in Article 3 we investigated the resistance to a descriptive norm in answering factual questions, in the context of autonomous personality. In our first article, we used a semi-qualitative bottom-up approach to gain insights into the laypersons’ perspective on autonomy and compare it to the scientific notion. We followed a design proposed by Kraft-Todd and Rand (2019) on the term heroism. We derived five components from philosophical and psychological literature: dignity, independence from others, morality, self-awareness, and unconventionality. In three preregistered online studies, we compared these scientific components to the laypersons’ understanding of autonomy. In Study 1, participants (N = 222) listed at least three and up to ten examples of autonomous (self-determined) behaviors. Here, the participants named 807 meaningful examples, which we systematically categorized into 34 representative items for Study 2. Next, new participants (N = 114) rated these regarding their autonomy. Finally, we transferred the five highest-rated autonomy and the five lowest-rated autonomy items to Study 3 (N = 175). We asked participants to rate how strongly the items represented dignity, independence from others, morality, self-awareness, and unconventionality. We found all components to distinguish between high and low autonomy items but not for unconventionality. Thus, we conclude that laypersons’ view corresponds with the scientific characteristics of dignity, independence from others, self-awareness, and morality. A qualitative analysis of the examples also showed that both reactive and reflective definitions of autonomy are prevalent.
Our mind has the function of representing the physical and social world we are in, so that we can efficiently interact with it. This results in a constant and dynamic interaction between mind and world that produces a balance when representations are at the same time accurate with respect to what the world is communicating to our organism, but also compatible with how our mind works.
A paradigmatic case of this interaction is offered by perception, which is the mental function that represents contingent aspects of the world built from what is captured by our senses. Indeed, the dominant philosophical view in cognitive science is that our perceptual states are representations of the world and not direct access to that world. These representational perceptual states therefor include the aspects of the world they represent and that initiate the perception by stimulating our sensory organs.
Perceptual representations are built using information from the sensory system, i.e., bottom-up information, but are also integrated with information previously acquired, i.e., top-down information, so that perception interacts with memory through language and other mental functions. Such organization is believed to reflect a general mechanism of our mind/brain, which is to acquire and use information to make efficient predictions about the future, continuously updating older information with present information.
This predictive processing works because the world is not random, but shows a regular structure from which reliable expectations can be built. One way that our minds make these predictions is by adapting to the structure of the world in an implicit, automatic and unconscious way, a process that has been called Implicit Statistical Learning (ISL). ISL is a learning process that does not require awareness and happens in an incidental and spontaneous way, with mere exposure to statistical regularities of the world. It is what happens when we learn a language during early childhood, and that allows us to be implicitly sensitive to the phonological structure of speech, or to associate speech patterns with objects and events to learn word meaning.
A specific case of ISL is the learning of spatial configuration in the visual world, which we apply to abstract arrays of items, but most importantly, also to more ecological settings such as the visual scenes we are immersed in during our everyday life. The knowledge we acquire about the structure of visual scenes has been called “Scene Grammar”, because it informs about presence and position of objects in a similar way to what linguistic grammar tells us about the presence and position of words. So, we implicitly acquire the semantics of scenes, learning which objects are consistent with a certain scene, as well as the syntax of scenes, learning where objects are positioned in a consistent way within a certain scene.
More recent developments have proposed that scene grammar knowledge might be organized based on a hierarchical system: objects are arranged in the scene, which offers the more general context, but within a scene we can identify different spatial and functional clusters of objects, called “phrases”, that offer a second level of context; within every phrase, then, objects have different status, with usually one object (“anchor object”) offering strong prediction of where and which are the other objects within the phrase (“local objects”). However, these further aspects of the organization of objects In scenes remain poorly understood.
Another problem relates to the way we measure the structure of scenes to compare the organization of the visual world with the organization in the mind. Typically, to decide if an object appears or not in a certain scene, and whether or not it appears in a certain position within a scene, researchers based their decision on intuition and common-sense, maybe validating those decisions with independent raters. But it has been shown that often these decisions can be limited and more complex information about objects’ arrangement in scenes can be lost.
A potential solution to this problem might be using large set of real-world images, that have annotations and segmentations of objects, to measures statistics about how objects are arranged in the environment. This idea exploits the nowadays larger availability of this kind of datasets due to increasing developments of computer vision algorithms, and also parallels with the established usage of large text corpora in language research.
The goals of the current investigation were to extract object statistics from this image datasets and test if they reliably predict behavioural responses during object processing, as well as to use these statistics to investigate more complex aspects of scene grammar, such as its hierarchical organization, to see if this organization is reflected in the organization of objects in our mind.
Nowadays, teachers are facing a more and more digitized world, as digital tools are being used by their students on a daily basis. This requires digital competencies in order to react in a professional manner to individual and societal challenges and to teach the students a purposeful use of those tools. Regarding the subject (e.g., STEM), this purpose includes specific content aspects, like data processing, or modeling and simulations of complex scientific phenomena. Yet, both pre-service and experienced teachers often consider their digital teaching competencies insufficient and wish for guidance in this field. Especially regarding immersive tools like augmented reality (AR), they do not have a lot of experience, although their willingness to use those modern tools in their lessons is high. The digital tool AR can target another problem in science lessons: students and teachers often have difficulties with understanding and creating scientific models. However, these are a main part of the scientific way of acquiring knowledge and are therefore embedded in curricula. With AR, virtual visualizations of model aspects can be superimposed on real experimental backgrounds in real time. It can help link models and experiments, which usually are not part of the same lesson and are perceived differently by students. Within the project diMEx (digital competencies in modeling and experimenting), a continuing professional development (CPD) for physics teachers was planned and conducted. Secondary school physics educators were guided in using AR in their lessons and their digital and modeling competencies for a purposeful use of AR experiments were promoted. To measure those competencies, various instruments with mixed methods were developed and evaluated. Among others, the teachers’ digital competencies have been assessed by four experts with an evaluation matrix based on the TPACK model. Technological, technical and design aspects as well as the didactical use of an AR experiment were assessed. The teachers generally demonstrate a high level of competency, especially in the first-mentioned aspects, and have successfully implemented their learnings from the CPD in the (re)design of their AR experiments.
Die vorliegende Arbeit beschreibt die Entwicklung eines interaktionalen Simulationsmodells zum späteren Einsatz in der VR-Simulation Clasivir 2.0 (Classroom Simulator in Virtual Reality), welche in der Lehrkräftebildung eingesetzt werden soll. Das Clasivir-Simulationsmodell wurde im Rahmen eines Prototyps implementiert und zwei anderen Simulationsmodellen in einem Fragebogen entgegengestellt. Ein Simulationsmodell beschreibt im Kontext einer digitalen Schulunterrichtssimulation, wie sich SuS in der Simulation verhalten.
Die drei Simulationsmodelle wurden über zwei unterschiedliche Typen von Video-Visualisierungen, genannt Mockup-Videos, dargestellt: Zum einen über eine 2D-Darstellung aus Vogelperspektive, zum anderen über eine 3D-Darstellung, in welcher 3D-Modelle von SuS animiert wurden. Bei dem realen Simulationsmodell handelt es sich um eine Übertragung einer authentischen Videoaufzeichnung von Unterricht einer hessischen Realschule in 2D/3D-Visualisierungen. Im randomisierten Simulationsmodell führen SuS ihre Verhalten zufällig aus. Alle Modelle basieren auf zweisekündigen Intervallen. Im Falle des realen Simulationsmodells wurde dies durch Analyse aller beobachtbaren einundzwanzig SuS gewonnen, im Falle des Clasivir-Simulationsmodells wurden die Vorhersagen des Simulationsmodells übertragen. Das Simulationsmodell von Clasivir basiert auf behavior trees, stellt eine Art von künstlicher Intelligenz dar und modelliert das SuS-Verhalten größtenteils in Abhängigkeit von Lehrkrafthandlungen. Die Entwicklung des interaktionalen Simulationsmodells von Clasivir ist eine Kernkomponente dieser Arbeit. Das Simulationsmodell basiert auf empirischen Ergebnissen aus den Bereichen der Psychometrie, der pädagogischen Psychologie, der Pädagogik und Ergebnissen der Simulations-/KI-Forschung. Ziel war die Entwicklung eines Modells, das nicht nur auf normativen Vorhersagen basiert, sondern empirisch und theoretisch valide ist. Nur wenige Simulationsmodelle in Unterrichtssimulationen werden mit dieser Art von Transparenz beschrieben, was eines der Alleinstellungsmerkmale dieser Arbeit ist. Es wurden Anstrengungen unternommen die vorliegenden empirischen Ergebnisse in einen kausalen Zusammenhang zu bringen, der mathematisch modelliert wurde. Im Zentrum steht die Konzentration von SuS, welche Ein uss auf Stör-, Melde- und Antwortverhalten hat. Diese Variable wird durch andere situative und personenbezogene Variablen (im Sinne von traits) ergänzt. Wo keine direkten empirischen Ergebnisse vorlagen wurde versucht plausibles Verhalten anhand der Übertragung von Konzeptionsmodellen zu gewinnen.
Da die bisherige Verwendung der angrenzenden Begriffe rund um die Simulationsentwicklung bislang sehr inkonsistent war, wurde es notwendig diese Termini zu definieren. Hervorzuheben ist die Entwicklung einer Taxonomie digitaler Unterrichtssimulationen, die so bislang nicht existierte. Anhand dieser Taxonomie und der erarbeiteten Fachtermini wurden Simulationen in der Lehrkräftebildung auf ihre Modellierung des Simulationsmodells hin untersucht. Die Untersuchung der Simulationen simSchool und VCS war, da sie einen verwandten Ansatz zu Clasvir verfolgen, besonders ergiebig.
Nach der Generierung der Mockup-Videos wurden N=105 Studierende, N=102 davon Lehramtsstudierende, aufgefordert, in einem Online-Fragebogen zwei der Simulationsmodelle miteinander zu vergleichen. Lehramtsstudierende wurden ausgewählt, da sie die Zielgruppe der Simulation sind. Welche Modelle die Partizipantinnen verglichen, war abhängig von der Gruppe der sie zugeteilt wurden. Hierbei wurde neben den Simulationsmodellen auch die visuelle Darstellung variiert. Insbesondere wurden die Partizipantinnen darum gebeten, den Fidelitätsgrad des Simulationsmodells, also den Maßstab, wie realistisch die Partizipantinnen das Verhalten der SuS in der Simulation fanden, zu bewerten. Inferenzstatistisch bestätigte sich, dass Partizipantinnen keinen Unterschied zwischen dem realen Simulationsmodell und dem Clasivir-Simulationsmodell erkennen konnten (t=1.463, df=178.9, p=.1452), aber das randomisierte Simulationsmodell mit einer moderaten Effektstärke von d=.634 als signifikant schlechter einschätzten (t=-2.5231, df=33.581, p=.008271). Die Art der Darbietung (2D oder 3D) hatte keinen statistisch signifikanten Einfluss auf die wahrgenommene Schwierigkeit der Bewertung (z=1.2426, p=.107). Damit kann festgestellt werden, dass eine komplexe und zeitintensive 3D-Visualisierung eines Simulationsmodells bei noch nicht vorliegender Simulation nicht erforderlich ist. Das Clasivir-Simulationsmodell wird als realistisch wahrgenommen. Es kann damit empfohlen werden, es in der VR-Simulation zu verwenden.
Im Ausblick werden bereits während des Schreibens der Arbeit gemachte Entwicklungen beschrieben und Konzepte zum weiteren Einsatz der Ergebnisse entwickelt. Es wird darauf verwiesen, dass eine erste Version eines VR-Simulators entwickelt wurde (Clasivir 1.0), der jedoch rein deterministisch funktioniert und noch nicht das in dieser Arbeit entwickelte Simulationsmodell inkludiert.
Die vorliegende Dissertation befasst sich mit Flow-Zuständen beim Lesen fiktiver Texte. Das 1975 von Mihaly Csikszentmihalyi vorgestellte Konzept des Flow bezieht sich auf das völlige Aufgehen in einer optimal herausfordernden Tätigkeit, das mit Absorption, Verarbeitungsflüssigkeit und intrinsische Freude einhergeht. Bislang wurde Flow zumeist im Kontext motorischer und leistungsorientierter Aktivitäten empirisch untersucht und in erster Linie theoretisch mit Lesefreude in Verbindung gebracht. Ziel der drei Studien, die diese Dissertation umfasst, war es daher einerseits, Flow beim Lesen erstmals anhand größerer Leser-Stichproben und mithilfe von psychometrischen Gütekriterien genügenden Messinstrumenten nachzuweisen. Andererseits sollte Flow im Rahmen eines Modells für positives Leseerleben mit anderen in der Leseforschung diskutierten Konzepten in Verbindung gebracht und im Hinblick auf potenzielle psychophysiologische Korrelate untersucht werden.
In der ersten Studie wurde eine in der allgemeinen Flow-Forschung verbreitete Kurz-Skala an den Lesekontext adaptiert und anhand einer 229 Leser umfassenden Stichprobe psychometrisch getestet. Hierzu wurden die Teilnehmer im Rahmen einer Online-Studie gebeten, nach 20-minütigem Lesen in einem selbstgewählten Roman Fragebögen zu ihrem Leseerleben auszufüllen. Zufriedenstellende Reliabilitätskoeffizienten, positive Korrelationen mit konvergenten Maßen, die faktoranalytische Unterscheidbarkeit zu diskriminanten Maßen und die erwartete Assoziation mit einem Flow-Kriterium bestätigten die Güte der Flow-Skala. Eine Explorative Faktorenanalyse ergab jedoch, dass fast alle Items auf dem Faktor Absorption luden. Zudem ließ die zweifakorielle Skalenstruktur keine abschließende Aussage zur Legitimierung eines globalen Flow-Scores zu. Daher wurde in der zweiten Studie auf Basis der ersten Skala und der aus der Theorie bekannten Flow-Komponenten ein umfassenderer lesespezifischer Flow-Fragebogen entwickelt. Dessen Reliabilität und Validität konnte anhand einer Online-Studie mit 373 Teilnehmern, in deren Rahmen ein Kapitel aus Homers Odyssee gelesen wurde, bestätigt werden. Neben Hinweisen zur konvergenten und diskriminanten Konstrukt- und zur Kriteriumsvalidität stützten die Ergebnisse einer Konfirmatorischen Faktorenanalyse eine theoretisch angemessene Skalenstruktur, mit den einzelnen Komponenten, mit Absorption, Verarbeitungsflüssigkeit und intrinsischer Freude als Subdimensionen und mit Flow als übergeordnetem Faktor. Mittels eines Strukturgleichungsmodells konnte zudem demonstriert werden, dass der auf Basis dieses Fragebogens gemessene Flow eine zentrale Rolle beim Leseerleben einnehmen kann. So wurde Flow als Mediator für andere, ebenfalls erhobene Erlebnisformen beim Lesen wie etwa Identifikation oder Spannung bestätigt. Von diesen Konzepten klärte Flow den größten Anteil an Varianz in Lesefreude und Textverständnis auf, die als Outcomes von positivem Leseerleben modelliert wurden. Da Flow gegenüber anderen Konzepten der Leseforschung den Vorteil hat, die Ableitung experimenteller Paradigmen und psychophysiologischer Hypothesen zu ermöglichen, wurden in der dritten Studie über die Manipulation des stilistischen Herausforderungsgrades eines weiteren Odyssee-Kapitels unterschiedliche Lese-Bedingungen hergestellt und kardiovaskuläre Daten gemessen. Es zeigten sich zwar keine signifikanten Gruppenunterschiede im Flow-Erleben, jedoch Interaktionen zwischen der Lesebedingung und kardiovaskulären Indikatoren bei der Vorhersage von Flow. So scheinen parasympathische Dominanz und ein entsprechender innerer Entspannungszustand, indiziert durch eine geringe Herzrate und hohe Herzratenvariabilität, Flow beim Lesen zu begünstigen, wenn der Text stilistisch anspruchsvoll ist. Es fanden sich hingegen keine Hinweise dafür, dass Flow-Erleben die Herzaktivität von Lesern verändert oder sich durch sie objektiv erfassen lässt.
Insgesamt sprechen die Ergebnisse dieses Forschungsprojektes somit für das Auf-treten von Flow beim Lesen sowie für dessen zentrale Rolle bei positiven Leseerlebnissen. Außerdem zeigen sie das Potenzial des Flow-Konzeptes für die Leseforschung auf, insbesondere hinsichtlich psychophysiologischer Experimentalstudien.