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Author(s): Becker, Michael; Kocaj, Aleksander; Jansen, Malte; Dumont, Hanna; Lüdtke, Oliver
Title: Class-average achievement and individual achievement development. Testing achievement composition and peer spillover effects using five German longitudinal studies
In: Journal of Educational Psychology, 114 (2022) 1, S. 177-197
DOI: 10.1037/edu0000519
URL: https://psycnet.apa.org/record/2022-03037-001
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Datenanalyse; Deutschland; Empirische Untersuchung; Entwicklung; Gegliedertes Schulsystem; Längsschnittuntersuchung; Leistung; Mehrebenenanalyse; Schüler; Schülerleistung; Schuljahr 04; Schuljahr 05; Schuljahr 06; Schuljahr 07; Schuljahr 09; Schuljahr 10; Schulklasse; Strukturgleichungsmodell; Wirkung; Zusammensetzung
Abstract: In recent studies, the existence and relevance of achievement composition effects on students' individual achievement have been called into question because of the methodological challenges arising in multilevel analyses. Our study examined how class-average achievement is related to students' achievement development across one school year. We used data from Germany, which has a secondary school system with large achievement differences between schools and classrooms due to rigid, explicit between-school tracking practices. We accounted for two methodological challenges, controlling for both selection bias and measurement error. Adopting an approach based on integrative data analysis (IDA), we systematically (re)analyzed five German longitudinal large-scale data sets. This IDA approach allowed us to quantify the extent to which results vary across (a) different longitudinal data sets and (b) different analytical strategies (i.e., ways of accounting for confounding variables and measurement reliability). Overall, we found both general achievement composition effects and narrower peer spillover effects (i.e., effects of student composition above and beyond the effects of tracking) in the German setting, even after controlling for measurement error and selection bias. Our results counter recent suggestions that composition effects on achievement development may be mere phantom effects due to methodological misspecifications. However, estimates of composition effects varied substantially based on the analytical approach. We conclude with considerations regarding how to interpret composition effects in multilevel modeling and which effects are of interest for educational research. (DIPF/Orig.)
DIPF-Departments: Struktur und Steuerung des Bildungswesens
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Author(s): Blanke, Elisabeth S.; Neubauer, Andreas B.; Houben, Marlies; Erbas, Yasemine; Brose, Annette
Title: Why do my thoughts feel so bad? Getting at the reciprocal effects of rumination and negative affect using dynamic structural equation modeling
In: Emotion, 22 (2022) 8, S. 1773-1786
DOI: 10.1037/emo0000946
URL: https://doi.apa.org/record/2021-21139-001
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Belgien; Datenanalyse; Datenerfassung; Dauer; Denken; Depression; Deutschland; Einstellung <Psy>; Emotion; Emotionaler Zustand; Fragebogenerhebung; Kognitive Prozesse; Messung; Messverfahren; Psychische Vorgänge; Stimmung; Stress; Strukturgleichungsmodell; Student; Tagesablauf; Wirkung
Abstract: Rumination means to perseveratively think about one's negative feelings and problems. It is a response to affective distress that is often referred to as maladaptive emotion regulation. According to the response styles theory and control theory, rumination may further prolong and exacerbate affective distress. This means that rumination can be viewed as both an antecedent and an outcome of negative affect (NA), and vice versa. However, at the level of short-term dynamics, state rumination and NA have previously mainly been examined as two separate outcomes. To model the reciprocal within-person effects and hence, to match theoretical assumptions, we combined the two interrelated time series in one model using dynamic structural equation modeling (DSEM). Both effects (NA on subsequent rumination and rumination on subsequent NA) were modeled simultaneously while acknowledging the autoregressive nature of both states (inert properties). We used data from two experience sampling studies (NStudy 1 = 200 Belgian university students; NStudy 2 = 70 German university students). Participants were paged on smartphones several times a day (Study 1: 10; Study 2: 6) for several days (Study 1: 7; Study 2: 9-12). In both studies, we found evidence for reciprocal effects of NA and rumination, and both processes showed autoregressive relationships. Aside from central findings, higher levels of rumination were also associated with higher rumination inertia, pointing toward more habitual rumination also being associated with prolonged rumination. Together, using DSEM, we found reciprocal associations between rumination and NA, while providing new insights into the dynamics between the two processes. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Brückweh, Kerstin; Hodenberg, Christina von; Raphael, Lutz; Reh, Sabine; Siegers, Pascal; Villinger, Clemens; Zöller, Kathrin
Title: Sozialdaten als Quelle der Geschichte. Zur Einführung
In: Geschichte und Gesellschaft, 48 (2022) 1, S. 5-27
DOI: 10.13109/gege.2022.48.1.5
URL: https://www.vr-elibrary.de/doi/10.13109/gege.2022.48.1.5
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Deutsch
Keywords: Archivwesen; Daten; Datenbank; Datenschutz; Dokumentation; Empirische Sozialforschung; Ethik; Fallbeispiel; Forschungsdaten; Forschungsprojekt; Geschichtswissenschaft; Metadaten; Methode; Nutzung; Qualitative Forschung; Quantitative Forschung; Quelle; Rechtsgrundlage; Sekundäranalyse; Urheberrecht; Zeitgeschichte
Abstract: Social research, qualitative and quantitative, has long been the preferred means of selfobservation in industrial societies. The social science data generated in the process are therefore rewarding sources for many fields of contemporary history. A large-scale integration of both quantitative and qualitative social science data into the contemporary historian's practice will aid a fuller reconstruction of the agency of ordinary people and the relations between the social sciences, society, and politics of the past. This article addresses the challenges facing historians re-using social science data. It gives examples of relevant archives and research projects, discussing the historian's method and practice and the ethical, legal, archival and metadata problems awaiting resolution. (DIPF/Orig.)
DIPF-Departments: Bibliothek für Bildungsgeschichtliche Forschung
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Author(s): Di Mitri, Daniele; Schneider, Jan; Drachsler, Hendrik
Title: Keep me in the loop. Real-time feedback with multimodal data
In: International Journal of Artificial Intelligence in Education, 32 (2022) 4, S. 1093-1118
DOI: 10.1007/s40593-021-00281-z
URL: https://link.springer.com/article/10.1007/s40593-021-00281-z
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Datenanalyse; Datenverarbeitung; Effektivität; Empirische Untersuchung; Feedback; Fehler; Fertigkeit; Fragebogen; Lernprozess; Medizin; Psychomotorik; Simulation; System; Technologie; Teilnehmer; Tool; Training
Abstract (english): This paper describes the CPR Tutor, a real-time multimodal feedback system for cardiopulmonary resuscitation (CPR) training. The CPR Tutor detects training mistakes using recurrent neural networks. The CPR Tutor automatically recognises and assesses the quality of the chest compressions according to five CPR performance indicators. It detects training mistakes in real-time by analysing a multimodal data stream consisting of kinematic and electromyographic data. Based on this assessment, the CPR Tutor provides audio feedback to correct the most critical mistakes and improve the CPR performance. The mistake detection models of the CPR Tutor were trained using a dataset from 10 experts. Hence, we tested the validity of the CPR Tutor and the impact of its feedback functionality in a user study involving additional 10 participants. The CPR Tutor pushes forward the current state of the art of real-time multimodal tutors by providing: (1) an architecture design, (2) a methodological approach for delivering real-time feedback using multimodal data and (3) a field study on real-time feedback for CPR training. This paper details the results of a field study by quantitatively measuring the impact of the CPR Tutor feedback on the performance indicators and qualitatively analysing the participants' questionnaire answers. (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung
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Author(s): Fährmann, Katharina; Köhler, Carmen; Hartig, Johannes; Heine, Jörg‑Henrik
Title: Practical significance of item misfit and its manifestations in constructs assessed in large‑scale studies
In: Large-scale Assessments in Education, 10 (2022) , S. 7
DOI: 10.1186/s40536‑022‑00124‑w
URL: https://largescaleassessmentsineducation.springeropen.com/articles/10.1186/s40536-022-00124-w
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Abstract (english): When scaling psychological tests with methods of item response theory it is necessary to investigate to what extent the responses correspond to the model predictions. In addition to the statistical evaluation of item misfit, the question arises as to its practical significance. Although item removal is undesirable for several reasons, its practical consequences are rarely investigated and focus mostly on main survey data with pre-selected items. In this paper, we identify criteria to evaluate practical significance and discuss them with respect to various types of assessments and their particular purposes. We then demonstrate the practical consequences of item misfit using two data examples from the German PISA 2018 field trial study: one with cognitive data and one with non-cognitive/metacognitive data. For the former, we scale the data under the GPCM with and without the inclusion of misfitting items, and investigate how this influences the trait distribution and the allocation to reading competency levels. For non-cognitive/metacognitive data, we explore the effect of excluding misfitting items on estimated gender differences. Our results indicate minor practical consequences for person allocation and no changes in the estimated gender-difference effects. (DIPF/Orig.)
DIPF-Departments: Lehr und Lernqualität in Bildungseinrichtungen
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Author(s): Flacke, Lea; Beißert, Hanna
Title: Inklusionsentscheidungen deutscher und bildungsinländischer Studierender gegenüber internationalen Studierenden in Deutschland. Die Rolle von Sprachkenntnissen und kultureller Ähnlichkeit
In: Beiträge zur Hochschulforschung, 44 (2022) 2/3, S. 128-142
URL: https://www.bzh.bayern.de/archiv/artikelarchiv/artikeldetail/inklusionsentscheidungen-deutscher-und-bildungsinlaendischer-studierender-gegenueber-internationalen-studierenden-in-deutschland-die-rolle-von-sprachkenntnissen-und-kultureller-aehnlichkeit
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language: Deutsch
Keywords: Aktivität; Ausländischer Student; Auslandsstudium; Befragung; Datenanalyse; Deutscher; Deutschland; Empirische Untersuchung; Entscheidung; Fragebogen; Freizeit; Herkunft; Hochschule; Inklusion; Kultur; Leistung; Mannheim; Online; Peergroup; Soziale Integration; Sprachfertigkeit; Student; Studium; Varianzanalyse
Abstract: In der vorliegenden Studie wurde die Rolle von Sprachkenntnissen und kultureller Ähnlichkeit für Inklusionsentscheidungen von deutschen und bildungsinländischen Studierenden (N = 117, 77 % weiblich, MAlter = 21,69, SD = 2,35, Range 18-28 Jahre) gegenüber internationalen Studierenden untersucht. Dabei wurde auch die Rolle des Kontexts (Leistungssituation vs. Freizeitsituation) betrachtet. Mit Hilfe hypothetischer Szenarien konnte gezeigt werden, dass bei der Entscheidung zwischen einer Person, die kulturell ähnlich ist, aber nur über geringe Deutschkenntnisse verfügt, und einer Person, die zwar über gute Deutschkenntnisse verfügt, aber kulturell unähnlich ist, die Wahl eher auf die kulturell unähnliche Person mit guten Deutschkenntnissen fällt. Dies war insbesondre im Leistungskontext der Fall. Auch in den offenen Begründungen der Inklusionsentscheidungen zeichnet sich die Bedeutung von Sprachkenntnissen ab, ebenfalls besonders im Leistungskontext. (DIPF/Orig.)
DIPF-Departments: Lehr und Lernqualität in Bildungseinrichtungen
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Author(s): Franzen, Patrick; Arens, A. Katrin; Greiff, Samuel; Westhuizen, Lindie van der; Fischbach, Antoine; Wollschläger, Rachel; Niepel, Christoph
Title: Developing and validating a short-form questionnaire for the assessment of seven facets of conscientiousness in large-scale assessments
In: Journal of Personality Assessment, 104 (2022) 6, S. 759-773
DOI: 10.1080/00223891.2021.1998083
URL: https://www.tandfonline.com/doi/full/10.1080/00223891.2021.1998083
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Auswahl; Bildungsforschung; Datenanalyse; Entwicklung; Item; Luxemburg; Messbarkeit; Messinstrument; Pflichtbewusstsein; Psychometrie; Reliabilität; Schüler; Schülerin; Schuljahr 09; Studie; Validität
Abstract: Conscientiousness is the most important personality predictor of academic achievement. It consists of several lower order facets with differential relations to academic achievement. There is currently no short instrument assessing facets of conscientiousness in the educational context. Therefore, in the present multi-study report, we develop and validate a short-form questionnaire for the assessment of seven Conscientiousness facets, namely Industriousness, Perfectionism, Tidiness, Procrastination Refrainment, Control, Caution, and Task Planning. To this end, we examined multiple representative samples totaling N = 14,604 Grade 9 and 10 students from Luxembourg. The questionnaire was developed by adapting and shortening an existing scale using an exhaustive search algorithm. The algorithm was specified to select the best item combination based on model fit, reliability, and measurement invariance across the German and French language versions. The resulting instrument showed the expected factorial structure. The relations of the facets with personality constructs and academic achievement were in line with theoretical assumptions. Reliability was acceptable for all facets. Measurement invariance across language versions, gender, immigration status and cohort was established. We conclude that the presented questionnaire provides a short measurement of seven facets of Conscientiousness with valid and reliable scores. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung
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Author(s): Persic-Beck, Lothar; Goldhammer, Frank; Kroehne, Ulf
Title: Disengaged response behavior when the response button is blocked. Evaluation of a micro-intervention
In: Frontiers in Psychology. Section Quantitative Psychology and Measurement, 13 (2022) , S. 954532
DOI: 10.3389/fpsyg.2022.954532
URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.954532/full
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Antwort; Datenanalyse; Dauer; Effektivität; Einflussfaktor; Erwachsener; Evaluation; Frage; Intervention; Kompetenz; Leistungstest; Logdatei; Messung; Motivation; Technologiebasiertes Testen; Testkonstruktion; Validität; Verhalten; Verhaltensänderung
Abstract (english): In large-scale assessments, disengaged participants might rapidly guess on items or skip items, which can affect the score interpretation's validity. This study analyzes data from a linear computer-based assessment to evaluate a micro-intervention that blocked the possibility to respond for 2 s. The blocked response was implemented to prevent participants from accidental navigation and as a naive attempt to prevent rapid guesses and rapid omissions. The response process was analyzed by interpreting log event sequences within a finite-state machine approach. Responses were assigned to different response classes based on the event sequence. Additionally, post hoc methods for detecting rapid responses based on response time thresholds were applied to validate the classification. Rapid guesses and rapid omissions could be distinguished from accidental clicks by the log events following the micro-intervention. Results showed that the blocked response interfered with rapid responses but hardly led to behavioral changes. However, the blocked response could improve the post hoc detection of rapid responding by identifying responses that narrowly exceed time-bound thresholds. In an assessment context, it is desirable to prevent participants from accidentally skipping items, which in itself may lead to an increasing popularity of initially blocking responses. If, however, data from those assessments is analyzed for rapid responses, additional log data information should be considered.
DIPF-Departments: Lehr und Lernqualität in Bildungseinrichtungen
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Author(s): Ruipérez-Valiente, José A.; Martínez-Maldonado, Roberto; Di Mitri, Daniele; Schneider, Jan
Title: From sensor data to educational insights
In: Sensors, 22 (2022) 21, S. 8556
DOI: 10.3390/s22218556
URL: https://www.mdpi.com/1424-8220/22/21/8556
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Datenanalyse; Datenerfassung; Künstliche Intelligenz; Lernprozess; Logdatei; Mensch-Maschine-Kommunikation; Messverfahren; Tool; Übersicht; Virtuelles Lernen
Abstract: Technology is gradually becoming an integral part of learning at all levels of educational. This includes the now pervasive presence of virtual learning environments (VLEs) and the inclusion of interactive devices used or worn by learners or that are present in the physical classroom environment. These new technology-rich educational ecosystems have greatly facilitated data capture about learners. Thus, several research areas, such as learning analytics (LA), educational data mining (EDM), and artificial intelligence in education (AIED), have grown exponentially during the last decade, with multiple venues supporting this research [1]. However, the inferences about learning that can be made by solely analyzing trace data from VLEs are limited, since logged data do not commonly provide a complete view of the learning experience [2]. Therefore, research communities are moving beyond the data obtained from VLEs and other online tools by incorporating data from external sources such as sensors, pervasive devices, and computer vision systems. Within the context of education, this subfield is often denominated as multimodal learning analytics (MMLA) [3]; nevertheless, the use of these data sources is also common in broader research areas, such as affective computing (e.g., [4]) and human-computer interaction (HCI) (e.g., [5]). The promise is to augment and improve the extent and quality of the analysis that can be performed with these new data sources [6]. Moreover, many new sensor-based tools, such as sensor-based games [7] or realistic laboratories [8,9], are being built to support the educational process. The challenge is embedding sensors and resulting data representations in authentic educational settings in pedagogically meaningful and ethical ways [10]. This Special Issue (SI) invited publications that include approaches to converting data captured using sensors (e.g., cameras, smartphones, microphones, or temperature sensors), wearables (e.g., smart wristbands, watches, or glasses), or other Internet of Things (IoT) devices (e.g., interactive whiteboards, eBooks, or tablets) into meaningful educational insights. Moreover, it invited papers on tools, architectures, or frameworks to manage the orchestration of these sensors and IoT devices to improve education. The submitted articles had to appropriately explain how the inclusiveness of sensor devices can augment the analyses performed to improve teaching, learning, or the educational context in which the sensing it occurs (e.g., in classrooms, VLEs, or other educational spaces). This SI has focused on empirical case studies that fulfill the aforementioned criteria and experimental architectures, methodologies, frameworks, or survey papers. (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung
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Author(s): Teipel, Stefan J.; Amaefule, Chimezie O.; Lüdtke, Stefan; Görß, Doreen; Faraza, Sofia; Bruhn, Sven; Kirste, Thomas
Title: Prediction of disorientation by accelerometric and gait features in young and older adults navigating in a virtually enriched environment
In: Frontiers in Psychology, 13 (2022) , S. 882446
DOI: 10.3389/fpsyg.2022.882446
URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.882446/full
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Abstract: Objective: To determine whether gait and accelerometric features can predict disorientation events in young and older adults.
Methods: Cognitively healthy younger (18-40 years, n = 25) and older (60-85 years, n = 28) participants navigated on a treadmill through a virtual representation of the city of Rostock featured within the Gait Real-Time Analysis Interactive Lab (GRAIL) system. We conducted Bayesian Poisson regression to determine the association of navigation performance with domain-specific cognitive functions. We determined associations of gait and accelerometric features with disorientation events in real-time data using Bayesian generalized mixed effect models. The accuracy of gait and accelerometric features to predict disorientation events was determined using cross-validated support vector machines (SVM) and Hidden Markov models (HMM).
Results: Bayesian analysis revealed strong evidence for the effect of gait and accelerometric features on disorientation. The evidence supported a relationship between executive functions but not visuospatial abilities and perspective taking with navigation performance. Despite these effects, the cross-validated percentage of correctly assigned instances of disorientation was only 72% in the SVM and 63% in the HMM analysis using gait and accelerometric features as predictors.
Conclusion: Disorientation is reflected in spatiotemporal gait features and the accelerometric signal as a potentially more easily accessible surrogate for gait features. At the same time, such measurements probably need to be enriched with other parameters to be sufficiently accurate for individual prediction of disorientation events. (DIPF/Orig.)
DIPF-Departments: Bildung und Entwicklung