@inbook{58110,
  author       = {{Gruchel, Nicole and Kamin, Anna-Maria}},
  booktitle    = {{Handbuch Digitalisierung in der Kita. Grundlagen, Kompetenzen und Praxis}},
  editor       = {{Schindler, Lara }},
  isbn         = {{9783556098424}},
  pages        = {{305 -- 326}},
  publisher    = {{Carl Link}},
  title        = {{{Mediennutzung von Eltern}}},
  year         = {{2024}},
}

@article{48486,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>In Europe, most Internet searches for school‐related tasks are situated at home, where parents can support adolescents. Although the frequency (quantity) of parental support has already been analyzed, a research gap exists concerning the quality of parental support in adolescents' information‐related Internet use. The quality of parental support in the field of homework involvement is known to be a predictor of adolescents' learning motivation and academic achievement, often discussed with regard to self‐determination theory (SDT) in terms of autonomy support, structure, emotional support, and control. These categories were adapted in this study to analyze parents' support in adolescents' Internet searching activities.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Using a mixed‐methods approach, we combined quantitative questionnaires and qualitative observations to analyze joint information‐related Internet uses. Therefore, 243 parent–adolescent dyads were surveyed and six parent–adolescent dyads were observed by videography in 2019/2020 in Germany. The adolescents were 11 years old, on average.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The parents rated all qualities higher than the adolescents. Emotional support was rated highest by both groups, whereas structure was rated lowest. Adolescents' and parents' view on parental support differ. The qualitative study revealed parents' often interfering behavior, whereas emotional support was low. Further, the active role of adolescents was highlighted in both quantitative and qualitative data.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>By combining quantitative and qualitative approaches, we demonstrated a fruitful application of SDT in analyzing the quality of parental support during adolescents' Internet searches at home and shed light on the co‐construction of joint Internet searches.</jats:p></jats:sec>}},
  author       = {{Kurock, Ricarda and Teichert, Jeannine and Meister, Dorothee M. and Gerhardts, Lara and Buhl, Heike M. and Bonanati, Sabrina}},
  issn         = {{0140-1971}},
  journal      = {{Journal of Adolescence}},
  keywords     = {{Psychiatry and Mental health, Developmental and Educational Psychology, Social Psychology, Pediatrics, Perinatology and Child Health}},
  number       = {{3}},
  pages        = {{566--579}},
  publisher    = {{Wiley}},
  title        = {{{A mixed‐methods study of the quality of parental support during adolescents' information‐related Internet use as a co‐construction process}}},
  doi          = {{http://dx.doi.org/10.1002/jad.12264}},
  volume       = {{96}},
  year         = {{2024}},
}

@inproceedings{56994,
  author       = {{Schaffer, Michael and Buhl, Heike M.}},
  booktitle    = {{53rd DGPs Congress - Abstracts}},
  editor       = {{Ansorge, Ulrich and Szaszkó, Bence and Werner, Lena}},
  location     = {{Vienna}},
  title        = {{{The mental representation of the object of explanation in the process of co-constructive explanations}}},
  year         = {{2024}},
}

@inbook{56887,
  author       = {{Kamin, Anna-Maria and Meister, Dorothee M. and Buhl, Heike M.}},
  booktitle    = {{Medien - Bildung - Forschung. Integrative und interdisziplinäre Perspektiven}},
  editor       = {{Aßmann, Sandra  and Grafe , Silke  and Martin, Alexander}},
  publisher    = {{Julius Klinkhardt}},
  title        = {{{Elterliche Unterstützung beim Lernen mit digitalen Medien }}},
  year         = {{2024}},
}

@article{46933,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Group work can increase individual effort, performance, and positive affect, if group members perceive their own contribution as indispensable for the group product. A vignette methodology was applied to investigate whether group work may also reduce procrastination. The vignettes described a typical academic assignment, while varying the task structure (individual work vs. conjunctive group work vs. additive group work) and group member ability (high vs. low). For each vignette, student participants (<jats:italic>N</jats:italic> = 443) provided ratings on their perceived indispensability, procrastination of the assignment, and affect. When group member ability was high, procrastination was lower in additive group work as compared to individual work. When group member ability was low, procrastination was lower in conjunctive group work as compared to both individual work and additive group work. As predicted, perceived indispensability mediated the difference in procrastination between conjunctive and additive group work. Moderation analyses further revealed that the effects were more pronounced for high trait procrastinators. Further, both types of group work led to increases in task-related positive affect as compared to individual work. By demonstrating the relevance of group work as a social factor, the results should be useful for the extension of existing programs targeting procrastination, and may inspire measures for preventing procrastination by changes in the study environment.</jats:p>}},
  author       = {{Koppenborg, Markus and Klingsieck, Katrin B. and Hüffmeier, Joachim}},
  issn         = {{1046-1310}},
  journal      = {{Current Psychology}},
  keywords     = {{General Psychology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Conjunctive and additive group work reduce academic procrastination: insights from a vignette study}}},
  doi          = {{10.1007/s12144-023-04294-w}},
  year         = {{2023}},
}

@phdthesis{45658,
  abstract     = {{Um Schüler*innenmerkmale korrekt zu beurteilen benötigen Lehrkräfte diagnostische Kompetenz. Insbesondere die genaue Einschätzung nicht-kognitiver Merkmale von Schüler*innen fällt Lehrkräften eher schwer. Dazu zählen auch mögliche Anzeichen für Lern- und Verhaltensauffälligkeiten. Maßnahmen zur Förderung diagnostischer Kompetenz fokussieren bisher größtenteils die Diagnostik fachspezifischer, situativer Urteilsgegenstände, wie Fehlkonzepte im Mathematikunterricht. Systematisch evaluierte Fördermaßnahmen, die das Erkennen und Beurteilen von Lern- und Verhaltensauffälligkeiten bei Schüler*innen fokussieren, existieren bisher nicht.Aus diesem Anlass wurde die digitale, problemorientierte Simulation GEProS zur Förderung diagnostischer Kompetenz von Lehramtsstudierenden entwickelt und systematisch in drei längsschnittlichen, (quasi-)experimentellen Kontrollgruppenstudien evaluiert. Die Ergebnisse zeigen, dass die GEProS einen Mehrwert für die Förderung diagnostischer Kompetenz insbesondere im Bereich selbstbestimmter Motivation bieten kann. Ein integriertes Quiz mit Feedback kann mittels testing effect darüber hinaus der Erwerb deklarativ-konzeptionellen Wissens als zentrale Disposition diagnostischer Kompetenz in GEProS unterstützen. Die Ergebnisse tragen durch das entwickelte Integrative Modell diagnostischer Kompetenz zur Theoriebildung sowie zur Forschung und Entwicklung im Bereich der Förderung diagnostischer Kompetenz bei, indem eine Maßnahme zur Förderung diagnostischer Kompetenz für einen fächerübergreifenden, zeitlich stabilen Urteilsgegenstand systematisch evaluiert wurde. Durch die Ableitung und Berücksichtigung wesentlicher Merkmale digitaler Simulationen trägt diese Arbeit außerdem zur theoretischen Fundierung digitaler Simulationen bei.}},
  author       = {{Grotegut, Lea}},
  pages        = {{56}},
  publisher    = {{Universität Paderborn}},
  title        = {{{GEProS - Entwicklung und Evaluation einer digitalen Simulation zur Förderung diagnostischer Kompetenz von Lehramtsstudierenden}}},
  doi          = {{10.17619/UNIPB/1-1753}},
  year         = {{2023}},
}

@article{48087,
  abstract     = {{Die Förderung diagnostischer Kompetenz in der Lehrer*innenbildung birgt zwei Herausforderungen: Erstens bleibt in großen Lehrveranstaltungen wenig Raum für die notwendige Anwendung theoretischen Wissens, zweitens können Fehlentscheidungen in realen diagnostischen Situationen gravierende negative Folgen für Schüler*innen haben. Eine digitale Simulation kann beiden Herausforderungen begegnen. In diesem Beitrag wurde eine digitale, problemorientierte Simulation zur Förderung diagnostischer Kompetenz von Lehramtsstudierenden evaluiert und mit einer textbasierten, problemorientierten und einer lehrendenzentrierten Kontrollgruppe verglichen. Die Ergebnisse zeigen positive Effekte für die digitale Simulation hinsichtlich der selbstbestimmten Motivation, aber einen geringeren Wissenszuwachs im Vergleich zum lehrendenzentrierten Setting. Die Selbstwirksamkeit nahm in allen drei Gruppen zu. Eine digitale Simulation bietet in der untersuchten Form somit einen, wenn auch geringen, Mehrwert für die Lehrkräftebildung im Bereich der Kompetenzentwicklung.}},
  author       = {{Grotegut, Lea and Klingsieck, Katrin B.}},
  issn         = {{2367-3044}},
  journal      = {{ZeHf – Zeitschrift für empirische Hochschulforschung}},
  keywords     = {{General Earth and Planetary Sciences, General Engineering, General Environmental Science}},
  number       = {{1}},
  pages        = {{56--73}},
  publisher    = {{Verlag Barbara Budrich GmbH}},
  title        = {{{Kompetenzentwicklung in der Lehrkräftebildung: der Mehrwert einer digitalen Simulation}}},
  doi          = {{10.3224/zehf.v7i1.05}},
  volume       = {{7}},
  year         = {{2023}},
}

@inproceedings{48730,
  author       = {{Bobe, Julia and Klingsieck, Katrin B.}},
  location     = {{Leipzig}},
  title        = {{{Aufschieben, weil man sich schlecht fühlt, oder sich schlecht fühlen, weil man aufschiebt? – Gruppenspezifische Unterschiede im Verhalten und Erleben von Prokrastination}}},
  year         = {{2023}},
}

@inproceedings{48731,
  author       = {{Bobe, Julia and Klingsieck, Katrin B.}},
  location     = {{Essen}},
  title        = {{{Prokrastination und das schlechte Gewissen - Gruppenunterschiede im Erleben und Auftreten von Prokrastination.}}},
  year         = {{2023}},
}

@inproceedings{48595,
  author       = {{Peters, Tobias Martin and Visser, Roel W.}},
  booktitle    = {{Communications in Computer and Information Science}},
  isbn         = {{9783031440694}},
  issn         = {{1865-0929}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{The Importance of Distrust in AI}}},
  doi          = {{10.1007/978-3-031-44070-0_15}},
  year         = {{2023}},
}

@inbook{42641,
  author       = {{Scharlau, Ingrid}},
  booktitle    = {{Wissenschaftsdidaktik II: Einzelne Disziplinen}},
  editor       = {{Reinmann, Gabi and Rhein, Rüdiger}},
  isbn         = {{ 978-3-8376-6295-5}},
  keywords     = {{Unterrichtsfach Psychologie}},
  pages        = {{49--74}},
  publisher    = {{transcript}},
  title        = {{{Wissenschaft und Alltagserfahrung: Überlegungen zur Wissenschaftsdidaktik der Psychologie}}},
  year         = {{2023}},
}

@article{48777,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Explainable artificial intelligence has mainly focused on static learning scenarios so far. We are interested in dynamic scenarios where data is sampled progressively, and learning is done in an incremental rather than a batch mode. We seek efficient incremental algorithms for computing feature importance (FI). Permutation feature importance (PFI) is a well-established model-agnostic measure to obtain global FI based on feature marginalization of absent features. We propose an efficient, model-agnostic algorithm called iPFI to estimate this measure incrementally and under dynamic modeling conditions including concept drift. We prove theoretical guarantees on the approximation quality in terms of expectation and variance. To validate our theoretical findings and the efficacy of our approaches in incremental scenarios dealing with streaming data rather than traditional batch settings, we conduct multiple experimental studies on benchmark data with and without concept drift.</jats:p>}},
  author       = {{Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara}},
  issn         = {{0885-6125}},
  journal      = {{Machine Learning}},
  keywords     = {{Artificial Intelligence, Software}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Incremental permutation feature importance (iPFI): towards online explanations on data streams}}},
  doi          = {{10.1007/s10994-023-06385-y}},
  year         = {{2023}},
}

@inbook{45862,
  author       = {{Scharlau, Ingrid and Karsten, Andrea}},
  booktitle    = {{Neues Handbuch Hochschullehre}},
  editor       = {{Berendt, Brigitte and Fleischmann, Andreas and Salmhofer, Gudrun and Schaper, Niclas and Szczyrba, Birgit and Wiemer, Matthias and Wildt, Johannes}},
  pages        = {{17--35}},
  publisher    = {{DUZ medienhaus}},
  title        = {{{Schreibfokussierte Graduiertenförderung: Reflexive Spezialisierung für interdisziplinäre Forschungskontexte}}},
  volume       = {{111}},
  year         = {{2023}},
}

@misc{46533,
  author       = {{Buhl, Heike M. and Eickelmann, Birgit and Niemann, Jan and Raneck-Kuhlmann, Anna and Drossel, Kerstin}},
  title        = {{{Qualitätsmanagement im Verbundvorhaben Communities of Practice für eine innovative Lehrerbildung NRW (COMeIN). Abschlussbericht}}},
  year         = {{2023}},
}

@inproceedings{46283,
  author       = {{Banh, Ngoc Chi and Scharlau, Ingrid}},
  booktitle    = {{Abstracts of the 65th TeaP}},
  editor       = {{Merz, Simon and Frings, Christian and Leuchtenberg, Bettina and Moeller, Birte and Mueller, Stefanie and Neumann, Roland and Pastötter, Bernhard and Pingen, Leah and Schui, Gabriel}},
  location     = {{Trier, Germany}},
  publisher    = {{ZPID (Leibniz Institute for Psychology)}},
  title        = {{{First steps towards real-time assessment of attentional weights and capacity according to TVA}}},
  doi          = {{10.23668/PSYCHARCHIVES.12945}},
  year         = {{2023}},
}

@inproceedings{53120,
  author       = {{Schneider, Tamara and Klingsieck, Katrin B.}},
  location     = {{Jena}},
  title        = {{{"ProGRess" - Erste Evaluationsergebnisse eines Anti-Prokrastinationstrainings auf Basis des Zürcher Ressourcen Modells (ZRM). }}},
  year         = {{2023}},
}

@inproceedings{53119,
  author       = {{Schneider, Tamara and Klingsieck, Katrin B.}},
  location     = {{Bremen }},
  title        = {{{"ProGRess" - Reduce procrastination to improve students' health - First analyses of an intervention study. }}},
  year         = {{2023}},
}

@inbook{35681,
  author       = {{Liebendörfer, Michael and Büdenbender-Kuklinski, Christiane and Lankeit, Elisa and Schürmann, Mirko and Biehler, Rolf and Schaper, Niclas}},
  booktitle    = {{Practice-Oriented Research in Tertiary Mathematics Education}},
  isbn         = {{9783031141744}},
  issn         = {{1869-4918}},
  pages        = {{91--117}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Framing Goals of Mathematics Support Measures}}},
  doi          = {{10.1007/978-3-031-14175-1_5}},
  year         = {{2023}},
}

@article{47065,
  abstract     = {{The reform of the European academic landscape with the introduction of bachelor's and master's degree programs has brought about several profound changes for teaching and assessment in higher education. With regard to the examination system, the shift towards output-oriented teaching is still one of the most significant challenges. Assessments have to be integrated into the teaching and learning arrangements and consistently aligned towards the intended learning outcomes. In particular, assessments should provide valid evidence that learners have acquired competences that are relevant for a specific domain. However, it seems that this didactic goal has not yet been fully achieved in modeling education in computer science. The aim of this study is to investigate whether typical task material used in exercises and exams in modeling education at selected German universities covers relevant competences required for graphical modeling. For this purpose, typical tasks in the field of modeling are first identified by means of a content-analytical procedure. Subsequently, it is determined which competence facets relevant for graphical modeling are addressed by the task types. By contrasting a competence model for modeling with the competences addressed by the tasks, a gap was identified between the required competences and the task material analyzed. In particular, the gap analysis shows the neglect of transversal competence facets as well as those related to the analysis and evaluation of models. The result of this paper is a classification of task types for modeling education and a specification of the competence facets addressed by these tasks. Recommendations for developing and assessing student's competences comprehensively are given.}},
  author       = {{Soyka, Chantal and Ullrich, Meike and Striewe, Michael and Schaper, Niclas}},
  journal      = {{Enterprise Modelling and Information Systems Architectures}},
  keywords     = {{conceptual modeling, higher education, competence-oriented assessment, task analysis, graphical modeling}},
  title        = {{{Comparison of Required Competences and Task Material in Modeling Education}}},
  doi          = {{10.18417/EMISA.18.7}},
  volume       = {{18}},
  year         = {{2023}},
}

@inproceedings{52866,
  author       = {{Sloane, Hannah Sabrina and Schmöckel, Sabrina}},
  location     = {{Belfast}},
  title        = {{{Turning Disciplinary Differences from a Brake into a Motor in Higher Education (Collaboration)}}},
  year         = {{2023}},
}