@article{WestphalVockLazarides2019, author = {Westphal, Andrea and Vock, Miriam and Lazarides, Rebecca}, title = {Are more conscientious seventh- and ninth-graders less likely to be retained?}, series = {Journal of applied developmental psychology : an internat. multidisciplinary}, volume = {66}, journal = {Journal of applied developmental psychology : an internat. multidisciplinary}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0193-3973}, doi = {10.1016/j.appdev.2019.101088}, pages = {12}, year = {2019}, abstract = {Previous research has identified students' personality traits, especially conscientiousness, as highly relevant predictors of academic success. Less is known about the role of Big Five personality traits in students when it comes to teachers' decisions about students' educational trajectories and whether personality traits differentially affect these decisions by teachers in different grade levels. This study examines to what extent students' Big Five personality traits affect teacher decisions on grade retention, looking at two cohorts of 12,146 ninth-grade and 6002 seventh-grade students from the German National Educational Panel Study. In both grade levels, multilevel logistic mediation models show that students' conscientiousness indirectly predicts grade retention through the assignment of grades by teachers. In the ninth-grade sample, students' conscientiousness was additionally a direct predictor of retention, distinct from teacher-assigned grades. We discuss potential underlying mechanisms and explore whether teachers base their decisions on different indicators when retaining seventh-grade students or ninth-grade students.}, language = {en} } @misc{WestphalLazaridesVock2021, author = {Westphal, Andrea and Lazarides, Rebecca and Vock, Miriam}, title = {Are some students graded more appropriately than others?}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {3}, issn = {1866-8364}, doi = {10.25932/publishup-56333}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-563330}, pages = {19}, year = {2021}, abstract = {Background Building on the Realistic Accuracy Model, this paper explores whether it is easier for teachers to assess the achievement of some students than others. Accordingly, we suggest that certain individual characteristics of students, such as extraversion, academic self-efficacy, and conscientiousness, may guide teachers' evaluations of student achievement, resulting in more appropriate judgements and a stronger alignment of assigned grades with students' actual achievement level (as measured using standardized tests). Aims We examine whether extraversion, academic self-efficacy, and conscientiousness moderate the relations between teacher-assigned grades and students' standardized test scores in mathematics. Sample This study uses a representative sample of N = 5,919 seventh-grade students in Germany (48.8\% girls; mean age: M = 12.5, SD = 0.62) who participated in a national, large-scale assessment focusing on students' academic development. Methods We specified structural equation models to examine the inter-relations of teacher-assigned grades with students' standardized test scores in mathematics, Big Five personality traits, and academic self-efficacy, while controlling for students' socioeconomic status, gender, and age. Results The correlation between teacher-assigned grades and standardized test scores in mathematics was r = .40. Teacher-assigned grades more closely related to standardized test scores when students reported higher levels of conscientiousness (beta = .05, p = .002). Students' extraversion and academic self-efficacy did not moderate the relationship between teacher-assigned grades and standardized test scores. Conclusions Our findings indicate that students' conscientiousness is a personality trait that seems to be important when it comes to how closely mathematics teachers align their grades to standardized test scores.}, language = {en} } @article{WestphalLazaridesVock2021, author = {Westphal, Andrea and Lazarides, Rebecca and Vock, Miriam}, title = {Are some students graded more appropriately than others?}, series = {British journal of educational psychology}, volume = {91}, journal = {British journal of educational psychology}, number = {3}, publisher = {Wiley}, address = {Hoboken}, issn = {0007-0998}, doi = {10.1111/bjep.12397}, pages = {865 -- 881}, year = {2021}, abstract = {Background Building on the Realistic Accuracy Model, this paper explores whether it is easier for teachers to assess the achievement of some students than others. Accordingly, we suggest that certain individual characteristics of students, such as extraversion, academic self-efficacy, and conscientiousness, may guide teachers' evaluations of student achievement, resulting in more appropriate judgements and a stronger alignment of assigned grades with students' actual achievement level (as measured using standardized tests). Aims We examine whether extraversion, academic self-efficacy, and conscientiousness moderate the relations between teacher-assigned grades and students' standardized test scores in mathematics. Sample This study uses a representative sample of N = 5,919 seventh-grade students in Germany (48.8\% girls; mean age: M = 12.5, SD = 0.62) who participated in a national, large-scale assessment focusing on students' academic development. Methods We specified structural equation models to examine the inter-relations of teacher-assigned grades with students' standardized test scores in mathematics, Big Five personality traits, and academic self-efficacy, while controlling for students' socioeconomic status, gender, and age. Results The correlation between teacher-assigned grades and standardized test scores in mathematics was r = .40. Teacher-assigned grades more closely related to standardized test scores when students reported higher levels of conscientiousness (beta = .05, p = .002). Students' extraversion and academic self-efficacy did not moderate the relationship between teacher-assigned grades and standardized test scores. Conclusions Our findings indicate that students' conscientiousness is a personality trait that seems to be important when it comes to how closely mathematics teachers align their grades to standardized test scores.}, language = {en} } @article{KuechollWestphalLazaridesetal.2019, author = {K{\"u}choll, Denise and Westphal, Andrea and Lazarides, Rebecca and Gronostaj, Anna}, title = {Beanspruchungsfolgen Lehramtsstudierender im Praxissemester}, series = {Zeitschrift f{\"u}r Erziehungswissenschaft}, volume = {22}, journal = {Zeitschrift f{\"u}r Erziehungswissenschaft}, number = {4}, publisher = {Springer}, address = {Wiesbaden}, issn = {1434-663X}, doi = {10.1007/s11618-019-00897-x}, pages = {945 -- 966}, year = {2019}, abstract = {Der Einstieg in die berufliche Praxis ist f{\"u}r Lehramtsstudierende verbunden mit einer Vielzahl von Anforderungen. Selbstwirksamkeitserwartungen gelten als personenbezogene Ressource, um mit den vielf{\"a}ltigen Anforderungssituationen umzugehen. Die soziale Unterst{\"u}tzung durch Mentoring gilt demgegen{\"u}ber als wichtige umgebungsbezogene Ressource. Ressourcen sind von hoher Bedeutung, um Belastungen beim Berufseinstieg zu bew{\"a}ltigen. Allerdings ist bislang wenig bekannt {\"u}ber das Zusammenwirken zwischen personen- und umgebungsbezogenen Ressourcen. Die vorliegende l{\"a}ngsschnittliche Studie untersucht daher, welche Rolle Mentoring und Selbstwirksamkeitserwartungen f{\"u}r den Umgang mit Beanspruchungsfolgen im Praxissemester spielen. Des Weiteren wird untersucht, inwiefern Mentoring den Zusammenhang zwischen Selbstwirksamkeitserwartungen und negativen Beanspruchungsfolgen, in diesem Fall emotionaler Ersch{\"o}pfung und reduzierter Leistungsf{\"a}higkeit, moderiert. Die empirische Grundlage der Untersuchung sind Fragebogendaten von 192 Lehramtsstudierenden, die zu Beginn und zum Ende ihres viermonatigen Praxissemesters befragt wurden. Multiple Regressionsanalysen zeigen, dass hohe Selbstwirksamkeitserwartungen zu Beginn des Praxissemesters mit geringerer emotionaler Ersch{\"o}pfung sowie mit h{\"o}herer Leistungsf{\"a}higkeit zum Ende des Praxissemesters einhergehen. Der Zusammenhang zwischen den Selbstwirksamkeitserwartungen und der Leistungsf{\"a}higkeit wird durch die von den Lehramtsstudierenden wahrgenommene soziale Unterst{\"u}tzung durch Mentoring moderiert. Die Implikationen der Ergebnisse f{\"u}r die Lehrkr{\"a}ftebildung werden diskutiert.}, language = {de} } @article{WulffBuschhueterWestphaletal.2022, author = {Wulff, Peter and Buschh{\"u}ter, David and Westphal, Andrea and Mientus, Lukas and Nowak, Anna and Borowski, Andreas}, title = {Bridging the gap between qualitative and quantitative assessment in science education research with machine learning}, series = {Journal of science education and technology}, volume = {31}, journal = {Journal of science education and technology}, number = {4}, publisher = {Springer}, address = {Dordrecht}, issn = {1059-0145}, doi = {10.1007/s10956-022-09969-w}, pages = {490 -- 513}, year = {2022}, abstract = {Science education researchers typically face a trade-off between more quantitatively oriented confirmatory testing of hypotheses, or more qualitatively oriented exploration of novel hypotheses. More recently, open-ended, constructed response items were used to combine both approaches and advance assessment of complex science-related skills and competencies. For example, research in assessing science teachers' noticing and attention to classroom events benefitted from more open-ended response formats because teachers can present their own accounts. Then, open-ended responses are typically analyzed with some form of content analysis. However, language is noisy, ambiguous, and unsegmented and thus open-ended, constructed responses are complex to analyze. Uncovering patterns in these responses would benefit from more principled and systematic analysis tools. Consequently, computer-based methods with the help of machine learning and natural language processing were argued to be promising means to enhance assessment of noticing skills with constructed response formats. In particular, pretrained language models recently advanced the study of linguistic phenomena and thus could well advance assessment of complex constructs through constructed response items. This study examines potentials and challenges of a pretrained language model-based clustering approach to assess preservice physics teachers' attention to classroom events as elicited through open-ended written descriptions. It was examined to what extent the clustering approach could identify meaningful patterns in the constructed responses, and in what ways textual organization of the responses could be analyzed with the clusters. Preservice physics teachers (N = 75) were instructed to describe a standardized, video-recorded teaching situation in physics. The clustering approach was used to group related sentences. Results indicate that the pretrained language model-based clustering approach yields well-interpretable, specific, and robust clusters, which could be mapped to physics-specific and more general contents. Furthermore, the clusters facilitate advanced analysis of the textual organization of the constructed responses. Hence, we argue that machine learning and natural language processing provide science education researchers means to combine exploratory capabilities of qualitative research methods with the systematicity of quantitative methods.}, language = {en} } @article{WulffBuschhueterWestphaletal.2020, author = {Wulff, Peter and Buschh{\"u}ter, David and Westphal, Andrea and Nowak, Anna and Becker, Lisa and Robalino, Hugo and Stede, Manfred and Borowski, Andreas}, title = {Computer-based classification of preservice physics teachers' written reflections}, series = {Journal of science education and technology}, volume = {30}, journal = {Journal of science education and technology}, number = {1}, publisher = {Springer}, address = {Dordrecht}, issn = {1059-0145}, doi = {10.1007/s10956-020-09865-1}, pages = {1 -- 15}, year = {2020}, abstract = {Reflecting in written form on one's teaching enactments has been considered a facilitator for teachers' professional growth in university-based preservice teacher education. Writing a structured reflection can be facilitated through external feedback. However, researchers noted that feedback in preservice teacher education often relies on holistic, rather than more content-based, analytic feedback because educators oftentimes lack resources (e.g., time) to provide more analytic feedback. To overcome this impediment to feedback for written reflection, advances in computer technology can be of use. Hence, this study sought to utilize techniques of natural language processing and machine learning to train a computer-based classifier that classifies preservice physics teachers' written reflections on their teaching enactments in a German university teacher education program. To do so, a reflection model was adapted to physics education. It was then tested to what extent the computer-based classifier could accurately classify the elements of the reflection model in segments of preservice physics teachers' written reflections. Multinomial logistic regression using word count as a predictor was found to yield acceptable average human-computer agreement (F1-score on held-out test dataset of 0.56) so that it might fuel further development towards an automated feedback tool that supplements existing holistic feedback for written reflections with data-based, analytic feedback.}, language = {en} } @phdthesis{Westphal2015, author = {Westphal, Andrea}, title = {Diagnostische Kompetenzen von Lehrkr{\"a}ften}, school = {Universit{\"a}t Potsdam}, pages = {94}, year = {2015}, language = {de} } @article{WestphalGronostajVocketal.2016, author = {Westphal, Andrea and Gronostaj, Anna and Vock, Miriam and Emmrich, Rico and Harych, Peter}, title = {Differentiation in Mathematics and in German Lessons on Grammar School Level Is it to be found mainly among good diagnosticians and in heterogeneous classes?}, series = {Zeitschrift f{\~A}¼r P{\~A}\idagogik}, volume = {62}, journal = {Zeitschrift f{\~A}¼r P{\~A}\idagogik}, publisher = {Beltz}, address = {Weinheim}, issn = {0044-3247}, pages = {131 -- 148}, year = {2016}, abstract = {Das Anliegen der vorliegenden Studie ist es, zu pr{\"u}fen, inwiefern eine differenzierende Unterrichtspraxis in den F{\"a}chern Mathematik und Deutsch im Zusammenhang mit der Wahrnehmung von Leistungsheterogenit{\"a}t und der Diagnosegenauigkeit von Lehrkr{\"a}ften steht. Der Untersuchung lagen Leistungsdaten aus den Vergleichsarbeiten (VERA-8) und Lehrerurteile {\"u}ber N = 1803 Sch{\"u}ler/innen der achten Jahrgangsstufe an Gymnasien im Land Brandenburg zugrunde sowie Sch{\"u}lereinsch{\"a}tzungen zur Differenzierung im Unterricht. Hierarchische Regressionsanalysen zeigen, dass Mathematiklehrkr{\"a}fte aus Sicht der Sch{\"u}ler/innen umso st{\"a}rker differenzierend unterrichten, je besser sie die Leistungsst{\"a}nde der Sch{\"u}ler/innen einsch{\"a}tzen k{\"o}nnen. Im Fach Deutsch findet differenzierender Unterricht in geringerem Umfang statt und es zeigen sich keine Zusammenh{\"a}nge mit der Diagnosegenauigkeit. The aim of the present study is to examine in how far a differentiating teaching practice in Math and German lessons is linked with the perception of heterogeneity in student performance and with the teachers´ diagnostic accuracy. The study is based on performance data from comparative tests (VERA-8) and teacher assessments of N = 1803 students attending 8th grade at grammar schools in the federal state of Brandenburg and on student assessments on differentiation in teaching. Hierarchical regression analyses show that, from the students´ perspective, Math teachers differentiate the more in their teaching the better they are able to assess the students´ performance level. In German lessons, differentiating forms of teaching are less often applied and there are no links with diagnostic accuracy.}, language = {de} } @article{KretschmannWestphalVock2021, author = {Kretschmann, Julia and Westphal, Andrea and Vock, Miriam}, title = {Does it pay to be one of the oldest in class?}, series = {Learning and instruction : the journal of the European Association for Research on Learning and Instruction}, volume = {74}, journal = {Learning and instruction : the journal of the European Association for Research on Learning and Instruction}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0959-4752}, doi = {10.1016/j.learninstruc.2021.101463}, pages = {12}, year = {2021}, abstract = {Several studies have revealed that older students in a year group reach higher achievement scores than younger students in that group. But less is known about how students' relative age in class relates to their self-perception of academic achievement, their social acceptance in class and to how teachers judge their abilities. Therefore, we examined relative age effects within class on students' academic self-concept, peer relations, grades, and teachers' secondary school recommendation. Analyses were based on a sample of N = 18,956 German fourth graders, who had never been retained or accelerated. We applied multilevel regression to control for covariates at the individual and classroom level. There were no substantial relative age effects within class across any of the outcomes, except for a small advantage for the youngest in their reading self-concept. Our findings therefore contradict the common assumption that younger students in class are disadvantaged compared to their older classmates.}, language = {en} } @article{JungbauerHeitmannWestphaletal.2018, author = {Jungbauer, Johannes and Heitmann, Katharina and Westphal, Andrea and Vock, Miriam}, title = {Erwachsene Kinder psychisch erkrankter Eltern}, series = {Zeitschrift f{\"u}r Familienforschung}, volume = {30}, journal = {Zeitschrift f{\"u}r Familienforschung}, number = {2}, publisher = {Budrich}, address = {Leverkusen}, issn = {1437-2940}, doi = {10.3224/zff.v30i2.05}, pages = {216 -- 229}, year = {2018}, abstract = {Zielsetzung: In diesem Beitrag werden Ergebnisse der EKipeE-Studie vorgestellt, in der erwachsene Kinder psychisch kranker Eltern befragt wurden. Ziel war es, die von den Befragten wahrgenommenen langfristigen Auswirkungen auf ihre Biographie, ihre Pers{\"o}nlichkeit und ihre Sozialbeziehungen zu beschreiben. Außerdem sollten Zusammenh{\"a}nge zwischen ausgew{\"a}hlten belastenden Kindheitserfahrungen und Problemen im Erwachsenenalter untersucht werden. Ferner sollten die Unterst{\"u}tzungsbed{\"u}rfnisse und -w{\"u}nsche der erwachsenen Kinder erfasst werden. Methode: Im Rahmen einer online-Fragebogenstudie wurden N=561 erwachsene Kinder psychisch kranker Eltern befragt. Die quantitativen Fragebogendaten wurden mit SPSS 23.0 statistisch ausgewertet; die freien Antworten und Kommentare wurden inhaltsanalytisch ausgewertet. Ergebnisse: Die Studienteilnehmer berichteten vielf{\"a}ltige emotionale und soziale Probleme, die sie als Folgen ihrer Kindheitserfahrungen wahrnehmen. Sehr h{\"a}ufig haben sie das Gef{\"u}hl, in ihrer Identit{\"a}t und ihrem Verhalten negativ gepr{\"a}gt zu sein. Viele {\"a}ußern deswegen einen Bedarf an professioneller Beratung und Unterst{\"u}tzung. Diskussion: Es handelt sich um die bislang umfangreichste Studie zu den langfristigen Folgen einer Kindheit mit einem psychisch kranken Elternteil im deutschsprachigen Raum. Die Ergebnisse verdeutlichen, dass fr{\"u}hzeitige Hilfe- und Pr{\"a}ventionsangebote f{\"u}r betroffene Kinder, Eltern und Familien notwendig sind. Auch die Bereitstellung spezifischer Beratungsangebote f{\"u}r erwachsene Kinder psychisch kranker Eltern wird empfohlen.}, language = {de} }