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Fostering multiple document comprehension. Motivational factors and its relationship with the use […]
Zink, Theresa; Hahnel, Carolin; Kroehne, Ulf; Deribo, Tobias; Mahlow, Nina; Artelt, Cordula; […]
Zeitschriftenbeitrag
| In: Zeitschrift für Erziehungswissenschaft | 2023
44004 Endnote
Autor*innen:
Zink, Theresa; Hahnel, Carolin; Kroehne, Ulf; Deribo, Tobias; Mahlow, Nina; Artelt, Cordula; Goldhammer, Frank; Naumann, Johannes; Schoor, Cornelia
Titel:
Fostering multiple document comprehension. Motivational factors and its relationship with the use of self-study materials
In:
Zeitschrift für Erziehungswissenschaft, 26 (2023) 3, S. 727-750
DOI:
10.1007/s11618-023-01163-x
URL:
https://link.springer.com/article/10.1007/s11618-023-01163-x
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Deutschland; Dokument; Empirische Untersuchung; Feedback; Fertigkeit; Fragebogen; Kompetenz; Korrelationsanalyse; Logdatei; Material; Motivation; Regressionsanalyse; Selbsteinschätzung; Selbststudium; Student; Test; Text; Universität; Verbesserung; Verstehen
Abstract:
Multiple Document Comprehension (MDC) ist eine wichtige Kompetenz für Studierende, weshalb ihre Verbesserung vorteilhaft ist. Wir nehmen an, dass der wahrgenommene Wert der MDC-Kompetenz wichtig bei der Förderung von MDC ist, da er ein Prädiktor für Verhaltensentscheidungen sein kann, wie z. B. die Bearbeitung von Selbstlernmaterialien. Die Bearbeitung von Selbstlernmaterialien ist typisch für das Lernen an Universitäten, erfordert aber die Motivation, sich in einer Kompetenz wie MDC zu verbessern. Wir definieren die Motivation, sich in MDC zu verbessern, als die Erwartung, den Wert und die damit verbundenen Kosten, sich in MDC zu verbessern. Wir nehmen an, dass die Motivation, sich in MDC zu verbessern, sowohl die Bearbeitung der Selbstlernmaterialien beeinflusst als auch von dem wahrgenommenen Wert der MDC-Kompetenz abhängt. Deshalb wurde in dieser Studie untersucht, ob der wahrgenommene Wert der MDC-Kompetenz die Motivation, sich in MDC zu verbessern, vorhersagt und letztere die Bearbeitung von Selbstlernmaterialien begünstigt. Insgesamt nahmen N = 278 Studierende dreier deutscher Universitäten an einem MDC-Test teil und hatten danach die Möglichkeit, ihre MDC-Kompetenz mit Selbstlernmaterialien zu trainieren. Das Engagement bei der Bearbeitung der Selbstlernmaterialien wurde über die Bearbeitungszeit und die Anzahl der Seitenwechsel gemessen. Die Ergebnisse zeigten, dass der wahrgenommene Wert der MDC-Kompetenz die Motivation, sich in MDC zu verbessern, teilweise vorhersagte. Die weiteren Analysen zeigten im Wesentlichen keine signifikanten Effekte des wahrgenommenen Werts der MDC-Kompetenz und der Motivation, sich zu verbessern, auf das Engagement bei der Bearbeitung der Selbstlernmaterialien. Allerdings deuteten die ausgewerteten Log-Daten darauf hin, dass das Selbstlernmaterial nicht in dem erwarteten Umfang bearbeitet wurde. (DIPF/Orig.)
Abstract (english):
Multiple document comprehension (MDC) is an essential skill for university students, making it beneficial to improve it. We assume that the value assigned to MDC is important to foster MDC since it can be a predictor for behavioral choices, such as working with self-study material. Using self-study material is typical for university learning, but it requires the motivation to improve a skill such as MDC. We define motivation to improve MDC in terms of expectancy, value, and cost to improve MDC. We expect that it is a driving force for working with self-study material on MDC, while it might also depend on the perceived value of MDC. Therefore, this study examined whether the perceived value of MDC predicts the motivation to improve MDC, which is also expected to predict the use of self-study material. A total of 278 students of different majors participated in a MDC assessment and received the opportunity to train their MDC skill with self-study material. The engagement in using the self-study material was measured by the total time and the number of page transitions on the self-study material. The results indicated that the perceived value of MDC partially predicted motivation to improve MDC. However, further analysis revealed mainly no significant effects of the perceived value of MDC and the motivation to improve MDC on the engagement in using the self-study material. However, the log data indicated that the engagement in using the self-study material was not as high as expected. (DIPF/Orig.)
DIPF-Abteilung:
Lehr und Lernqualität in Bildungseinrichtungen
Disengaged response behavior when the response button is blocked. Evaluation of a micro-intervention
Persic-Beck, Lothar; Goldhammer, Frank; Kroehne, Ulf
Zeitschriftenbeitrag
| In: Frontiers in Psychology. Section Quantitative Psychology and Measurement | 2022
43065 Endnote
Autor*innen:
Persic-Beck, Lothar; Goldhammer, Frank; Kroehne, Ulf
Titel:
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
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
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-Abteilung:
Lehr und Lernqualität in Bildungseinrichtungen
From sensor data to educational insights
Ruipérez-Valiente, José A.; Martínez-Maldonado, Roberto; Di Mitri, Daniele; Schneider, Jan
Zeitschriftenbeitrag
| In: Sensors | 2022
43621 Endnote
Autor*innen:
Ruipérez-Valiente, José A.; Martínez-Maldonado, Roberto; Di Mitri, Daniele; Schneider, Jan
Titel:
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
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
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-Abteilung:
Informationszentrum Bildung
From byproduct to design factor. On validating the interpretation of process indicators based on […]
Goldhammer, Frank; Hahnel, Carolin; Kroehne, Ulf; Zehner, Fabian
Zeitschriftenbeitrag
| In: Large-scale Assessments in Education | 2021
41612 Endnote
Autor*innen:
Goldhammer, Frank; Hahnel, Carolin; Kroehne, Ulf; Zehner, Fabian
Titel:
From byproduct to design factor. On validating the interpretation of process indicators based on log data
In:
Large-scale Assessments in Education, 9 (2021) , S. 20
DOI:
10.1186/s40536-021-00113-5
URN:
urn:nbn:de:0111-pedocs-250050
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-250050
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Leistungstest; Logdatei; PISA <Programme for International Student Assessment>; PIAAC <Programme for the International Assessment of Adult Competencies>; Datenanalyse; Interpretation; Leistungsmessung; Messverfahren; Indikator; Typologie; Testkonstruktion; Testtheorie
Abstract (english):
International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers' interactions with the assessment system. Log data and the process indicators derived from it can be used for many purposes. However, the intended uses and interpretations of process indicators require validation, which here means a theoretical and/or empirical justification that inferences about (latent) attributes of the test-taker's work process are valid. This article reviews and synthesizes measurement concepts from various areas, including the standard assessment paradigm, the continuous assessment approach, the evidence-centered design (ECD) framework, and test validation. Based on this synthesis, we address the questions of how to ensure the valid interpretation of process indicators by means of an evidence-centered design of the task situation, and how to empirically challenge the intended interpretation of process indicators by developing and implementing correlational and/or experimental validation strategies. For this purpose, we explicate the process of reasoning from log data to low-level features and process indicators as the outcome of evidence identification. In this process, contextualizing information from log data is essential in order to reduce interpretative ambiguities regarding the derived process indicators. Finally, we show that empirical validation strategies can be adapted from classical approaches investigating the nomothetic span and construct representation. Two worked examples illustrate possible validation strategies for the design phase of measurements and their empirical evaluation. (DIPF/Orig.)
DIPF-Abteilung:
Lehr und Lernqualität in Bildungseinrichtungen
Deadlines don't prevent cramming. Course instruction and individual differences predict learning […]
Theobald, Maria; Bellhäuser, Henrik; Imhof, Margarete
Zeitschriftenbeitrag
| In: Learning and Individual Differences | 2021
41287 Endnote
Autor*innen:
Theobald, Maria; Bellhäuser, Henrik; Imhof, Margarete
Titel:
Deadlines don't prevent cramming. Course instruction and individual differences predict learning strategy use and exam performance
In:
Learning and Individual Differences, 87 (2021) , S. 101994
DOI:
10.1016/j.lindif.2021.101994
URL:
https://www.sciencedirect.com/science/article/abs/pii/S1041608021000315?via%3Dihub
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Hochschulunterricht; Arbeitsanleitung; Student; Lernmethode; Individueller Unterschied; Studienleistung; Logdatei; Analyse; Quasi-Experiment; Deutschland
Abstract:
The goal of the present study was to investigate how course instruction and individual differences in general academic competences and conscientiousness relate to students' learning strategy use and exam performance. The sample comprised two cohorts of university students who attended a lecture on the same topic, but with varying course instruction: In the blended course (N = 238), the teacher applied deadlines for self-testing and offered regular in-class meetings to encourage distributed practice over the semester. In the online course, students studied independently without regular meetings, nor deadlines (N = 200). Learning strategies were measured objectively using behavioral log-file data. Students in the blended course used fewer self-tests than online students which was associated with poor exam performance. Academic competences (high school GPA) positively predicted exam performance via more distributed practice and self-testing. Conscientiousness was related to more distributed practice which was associated with better exam performance. Results revealed that (voluntary) in-class meeting and deadlines did not prevent cramming. Especially less conscientious students with lower general academic competences need further support in applying efficient learning strategies. (DIPF/Orig.)
DIPF-Abteilung:
Bildung und Entwicklung
Teacher log characteristics
Klieme, Eckhard
Sammelbandbeitrag
| Aus: OECD (Hrsg.): Global teaching insights technical report | Paris: OECD Publishing | 2021
42210 Endnote
Autor*innen:
Klieme, Eckhard
Titel:
Teacher log characteristics
Aus:
OECD (Hrsg.): Global teaching insights technical report, Paris: OECD Publishing, 2021 , S. 1-10
URL:
https://www.oecd.org/education/school/GTI-TechReport-Chapter22.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Sammelband (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Unterrichtsforschung; Mathematikunterricht; Quadratische Gleichung; Lehrer; Logdatei; Unterrichtsstunde; Internationaler Vergleich; Chile; China; Deutschland; Großbritannien; Japan; Kolumbien; Mexiko; Spanien
Abstract:
Das Kapitel stellt die Indikatoren für lerngelegenheiten (Opportunity to learn) dar, die im Rahmen der TALIS Videostudie aus den Stundenprotokollen der Lehrkräfte gewonnen wurden. (DIPF/Autor)
Abstract (english):
The chapter documents the Opportunity-to-learn indicators based on teacher log data in the TALIS Video Study. (DIPF/Orig.)
DIPF-Abteilung:
Lehr und Lernqualität in Bildungseinrichtungen
Using process data to explain group differences in complex problem solving
Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes
Zeitschriftenbeitrag
| In: Journal of Educational Psychology | 2020
39868 Endnote
Autor*innen:
Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes
Titel:
Using process data to explain group differences in complex problem solving
In:
Journal of Educational Psychology, 112 (2020) 8, S. 1546-1562
DOI:
10.1037/edu0000446
URN:
urn:nbn:de:0111-pedocs-232721
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-232721
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
PISA <Programme for International Student Assessment>; Problemlösen; Schülerleistung; Leistungsmessung; Geschlechtsspezifischer Unterschied; Migrationshintergrund; Computerunterstütztes Verfahren; Logdatei; Interaktion; Exploration; Verhalten; Vorwissen; Wirkung; Indikator; Leistung; Unterschied; Messverfahren; OECD-Länder
Abstract:
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by considering behavioral process measures as mediating variables between group membership and performance on the 2012 Programme for International Student Assessment complex problem solving (CPS) items. We found that across all investigated countries interactive behavior can fully explain gender differences in CPS, but cannot explain differences between students with and without a migration background. However, in some countries these results differ from the cross-country results. Our results indicate that process measures derived from log data are useful for further investigating and explaining performance differences between girls and boys and students with and without migration background. (DIPF/Orig.)
DIPF-Abteilung:
Bildungsqualität und Evaluation
Rapid guessing rates across administration mode and test setting
Kröhne, Ulf; Deribo, Tobias; Goldhammer, Frank
Zeitschriftenbeitrag
| In: Psychological Test and Assessment Modeling | 2020
40317 Endnote
Autor*innen:
Kröhne, Ulf; Deribo, Tobias; Goldhammer, Frank
Titel:
Rapid guessing rates across administration mode and test setting
In:
Psychological Test and Assessment Modeling, 62 (2020) 2, S. 144-177
DOI:
10.25656/01:23630
URN:
urn:nbn:de:0111-pedocs-236307
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-236307
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Schlagwörter:
Test; Bewertung; Innovation; Validität; Technologiebasiertes Testen; Design; Testkonstruktion; Testverfahren; Wirkung; Verhalten; Logdatei; Experiment; Student; Vergleichsuntersuchung
Abstract (english):
Rapid guessing can threaten measurement invariance and the validity of large-scale assessments, which are often conducted under low-stakes conditions. Comparing measures collected under different administration modes or in different test settings necessitates that rapid guessing rates also be comparable. Response time thresholds can be used to identify rapid guessing behavior. Using data from an experiment embedded in an assessment of university students as part of the National Educational Panel Study (NEPS), we show that rapid guessing rates can differ across modes. Specifically, rapid guessing rates are found to be higher for un-proctored individual online assessment. It is also shown that rapid guessing rates differ across different groups of students and are related to properties of the test design. No relationship between dropout behavior and rapid guessing rates was found. (DIPF/Orig.)
DIPF-Abteilung:
Bildungsqualität und Evaluation
Students' social, emotional and intercultural competencies and their development in school settings
Mornar, Mirta; Matić Bojić, Jelena; Odak, Iva; Eliasson, Nina; Gøtzsche, Katinka; Jurko, Lana; […]
Zeitschriftenbeitrag
| In: Šolsko polje | 2020
40961 Endnote
Autor*innen:
Mornar, Mirta; Matić Bojić, Jelena; Odak, Iva; Eliasson, Nina; Gøtzsche, Katinka; Jurko, Lana; Kozina, Ana; Ojsteršek, Aleš; Sälzer, Christine; Veldin, Manja; Vieluf, Svenja
Titel:
Students' social, emotional and intercultural competencies and their development in school settings
In:
Šolsko polje, 31 (2020) 3/4, S. 115-137
DOI:
10.32320/1581-6044.31(3-4)115-137
URL:
https://www.pei.si/ISSN/1581_6044/3-4-2020/1581-6044.31(3-4)115-137.pdf
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Schüler; Schülerin; Emotionale Kompetenz; Interkulturelle Kompetenz; Soziale Kompetenz; Wohlbefinden; Schulerfolg; Schülerleistung; Literaturbericht; Schule; Förderung; Intervention; Selbstwertgefühl; Respekt; Zwischenmenschliche Beziehung; Unterrichtsmethode; Unterrichtsorganisation; Wirkung
Abstract (english):
As the field of social and emotional learning has developed and grown over the last decades, so too has the number of different programmes seek-ing to achieve various SEL goals, resulting in a significant body of research on the topic. Meanwhile, there has also been an increase in the number of programmes aimed at developing intercultural competencies. For the pur-pose of developing a new programme for social and emotional learning, we reviewed the key characteristics of existing evidence-based social, emo-tional and intercultural learning programmes, including their theoretical and conceptual backgrounds, content, methodological and organisation-al aspects, and their evaluation. This review has revealed multiple similar-ities between these two approaches (i.e. social and emotional and intercul-tural), presenting a rationale for their integration. (DIPF/Orig.)
DIPF-Abteilung:
Bildungsqualität und Evaluation
The NAEP EDM competition. On the value of theory-driven psychometrics and machine learning for […]
Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; […]
Sammelbandbeitrag
| Aus: Rafferty, Anna N.; Whitehill, Jacob; Romero, Cristobal; Cavalli-Sforza, Violetta (Hrsg.): Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020) | Worcester; MA: International Educational Data Mining Society | 2020
40325 Endnote
Autor*innen:
Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin
Titel:
The NAEP EDM competition. On the value of theory-driven psychometrics and machine learning for predictions based on log data
Aus:
Rafferty, Anna N.; Whitehill, Jacob; Romero, Cristobal; Cavalli-Sforza, Violetta (Hrsg.): Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020), Worcester; MA: International Educational Data Mining Society, 2020 , S. 302-312
URL:
https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_118.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Logdatei; Psychometrie; Theorie; Technologische Entwicklung; Wettbewerb; Prognose; Test; Erfolg
Abstract:
The 2nd Annual WPI-UMASS-UPENN EDM Data Minng Challenge required contestants to predict efficient test-taking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized Partial Credit Model for estimating latent person ability. Additionally, we adopted an n-gram feature approach for event sequences. For training a multi-label classifier, we distinguished inefficient test takers who were going too fast and those who were going too slow, instead of using the provided binary target label. Our best-performing ensemble classifier comprised three sets of low-dimensional classifiers, dominated by test-taker speed. While our classifier reached moderate performance, relative to competition leaderboard, our approach makes two important contributions. First, we show how explainable classifiers could provide meaningful predictions if results can be contextualized to test administrators who wish to intervene or take action. Second, our re-engineering of test scores enabled us to incorporate person ability into the estimation. However, ability was hardly predictive of efficient behavior, leading to the conclusion that the target label's validity needs to be questioned. The paper concludes with tools that are helpful for substantively meaningful log data mining. (DIPF/Orig.)
DIPF-Abteilung:
Bildungsqualität und Evaluation
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