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Tackling scientific misconceptions. The element of surprise
Theobald, Maria; Brod, Garvin
Zeitschriftenbeitrag
| In: Child Development | 2021
41286 Endnote
Autor*innen:
Theobald, Maria; Brod, Garvin
Titel:
Tackling scientific misconceptions. The element of surprise
In:
Child Development, 92 (2021) 5, S. 2128-2141
DOI:
10.1111/cdev.13582
URL:
https://srcd.onlinelibrary.wiley.com/doi/10.1111/cdev.13582
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Missverständnis; Kind; Grundschulalter; Stichprobe; Lernprozess; Lernforschung; Pupillenreflex; Kognition; Revision; Überraschung; Überzeugung; Naturwissenschaftlicher Unterricht; Naturwissenschaftliches Denken; Widerspruch; Lernverhalten; Einflussfaktor; Kognitive Lerntheorie
Abstract:
Misconceptions about scientific concepts often prevail even if learners are confronted with conflicting evidence. This study tested the facilitative role of surprise in children's revision of misconceptions regarding water displacement in a sample of German children (N = 94, aged 6-9 years, 46% female). Surprise was measured via the pupil dilation response. It was induced by letting children generate predictions before presenting them with outcomes that conflicted with their misconception. Compared to a control condition, generating predictions boosted children's surprise and led to a greater revision of misconceptions (d = 0.56). Surprise further predicted successful belief revision during the learning phase. These results suggest that surprise increases the salience of a cognitive conflict, thereby facilitating the revision of misconceptions. (DIPF/Orig.)
DIPF-Abteilung:
Bildung und Entwicklung
Quantum of choice. How learners' feedback monitoring decisions, goals and self-regulated learning […]
Jivet, Ioana; Wong, Jacqueline; Scheffel, Maren; Torre, Manuel Valle; Specht, Marcus; […]
Sammelbandbeitrag
| Aus: Association for Computing Machinery (Hrsg.): LAK21 conference proceedings: The impact we make: The contributions of learning analytics to learning, the Eleventh International Conference on Learning Analytics & Knowledge, April 12-16, 2021, online, everywhere | New York; NY: Association for Computing Machinery | 2021
41406 Endnote
Autor*innen:
Jivet, Ioana; Wong, Jacqueline; Scheffel, Maren; Torre, Manuel Valle; Specht, Marcus; Drachsler, Hendrik
Titel:
Quantum of choice. How learners' feedback monitoring decisions, goals and self-regulated learning skills are related
Aus:
Association for Computing Machinery (Hrsg.): LAK21 conference proceedings: The impact we make: The contributions of learning analytics to learning, the Eleventh International Conference on Learning Analytics & Knowledge, April 12-16, 2021, online, everywhere, New York; NY: Association for Computing Machinery, 2021 , S. 416-427
DOI:
10.1145/3448139.3448179
URL:
https://dl.acm.org/doi/10.1145/3448139.3448179
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Chi-Quadrat-Test; Regressionsanalyse; Lernender; Entscheidungsfindung; Feedback; Lernziel; Selbstgesteuertes Lernen; Learning Analytics; Tool; Design; Lernplattform; MOOC <Massive Open Online Course>; E-Learning; Interaktion; Lernverhalten; Datenerfassung; Fragebogenerhebung
Abstract:
Learning analytics dashboards (LADs) are designed as feedback tools for learners, but until recently, learners rarely have had a say in how LADs are designed and what information they receive through LADs. To overcome this shortcoming, we have developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose indicators to monitor. Following a mixed-methods approach, we analyse 401 learners' indicator selection behaviour in order to understand the decisions they make on the LAD and whether learner goals and self-regulated learning skills influence these decisions. We found that learners overwhelmingly chose indicators about completed activities. Goals are not associated with indicator selection behaviour, while help-seeking skills predict learners' choice of monitoring their engagement in discussions and time management skills predict learners' interest in procrastination indicators. The findings have implications for our understanding of learners' use of LADs and their design. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Tracking patterns in self-regulated learning using students' self-reports and online trace data
Halem, Nicolette van; Klaveren, Chris van; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja
Zeitschriftenbeitrag
| In: Frontline Learning Research | 2020
39969 Endnote
Autor*innen:
Halem, Nicolette van; Klaveren, Chris van; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja
Titel:
Tracking patterns in self-regulated learning using students' self-reports and online trace data
In:
Frontline Learning Research, 8 (2020) 3, S. 140-163
DOI:
10.14786/flr.v8i3.497
URL:
https://journals.sfu.ca/flr/index.php/journal/article/view/497
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Schlagwörter:
Selbstgesteuertes Lernen; Motivation; Lernen; Strategie; Selbstbeobachtung; Online; Lernverhalten; Verhaltensmuster; Daten; Komplementarität; Ereignis; Messung; Methode; Varianz; Student; E-Learning
Abstract:
For decades, self-report instruments - which rely heavily on students' perceptions and beliefs - have been the dominant way of measuring motivation and strategy use. An event-based measure based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to triangulate constructs suggested in theory and measured using self-reported data with revealed online traces of learning behaviour. The results show that online trace data of learning behaviour are complementary to self-reports, as they explained a unique proportion of variance in student academic performance and reveal that self-reports explain more variance in online learning behaviour of prior weeks than variance in learning behaviour in succeeding weeks. Student motivation is, however, to a lesser extent captured with online trace data, likely because of its covert nature. In that respect, it is of importance to recognize the crucial role of self-reports in capturing student learning holistically. This manuscript is 'frontline' in the sense that event-based measurement methodologies using online trace data are relatively unexplored. The comparison with self-report data made in this manuscript sheds new light on the added value of innovative and traditional methods of measuring motivation and strategy use. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
School attitude and perceived teacher acceptance. Developmental trajectories, temporal relations, […]
Arens, A. Katrin; Niepel, Christoph
Zeitschriftenbeitrag
| In: British Journal of Educational Psychology | 2019
38725 Endnote
Autor*innen:
Arens, A. Katrin; Niepel, Christoph
Titel:
School attitude and perceived teacher acceptance. Developmental trajectories, temporal relations, and gender differences
In:
British Journal of Educational Psychology, 89 (2019) 4, S. 689-706
DOI:
10.1111/bjep.12252
URN:
urn:nbn:de:0111-dipfdocs-188733
URL:
http://www.dipfdocs.de/volltexte/2021/18873/pdf/Arens_Niepel_2019_School_attitude_and_perceived_teacher_acceptance_A.pdf
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Geschlechtsspezifischer Unterschied; Befragung; Längsschnittuntersuchung; Latente Wachstumskurvenmodelle; Hessen; Bayern; Deutschland; Grundschule; Einstellung <Psy>; Grundschüler; Lehrer; Akzeptanz; Wahrnehmung; Schüler-Schüler-Beziehung; Schüler-Lehrer-Beziehung; Einflussfaktor; Lernverhalten; Schuljahr 03; Schuljahr 04; Persönlichkeitsentwicklung; Lernbedingungen; Veränderung
Abstract:
Background: Positive school attitudes defined as students' school liking and school attachment are positively related to many desirable outcomes. Student-teacher relations have often been considered to be an important determinant of school attitudes. Aims: Students' perceived teacher acceptance was used as an indicator for student-teacher relations. Using a longitudinal data set, we examined the developmental trajectories of school attitudes and perceived teacher acceptance. In addition, we studied the temporal relations between both constructs.. We also examined gender differences in the mean levels, mean level development, and relations of school attitudes and teacher acceptance. Sample: The sample consisted of 2,376 German elementary school students. Methods: The students rated their school attitudes and perceived teacher acceptance three times across grade levels 3-4. Latent growth curve models were used to examine the developmental trajectories of both constructs. Cross‐lagged panel models were used to examine the temporal relations between both constructs. Results: Positive school attitudes and perceived teacher acceptance declined across time. School attitudes and perceived teacher acceptance were positively and reciprocally related across the three waves. Boys and girls did not differ in their temporal relations between school attitudes and perceived teacher acceptance and in the developmental trajectories of both constructs. Girls were found to display higher mean levels of school attitudes and perceived teacher acceptance. Conclusions: Research and practice should seek for effective means to counteract the decline of students' positive school attitudes and perceived teacher acceptance. Interventions to foster students' school attitudes might benefit from enhancing student-teacher relations, and vice versa. (DIPF/Orig.)
DIPF-Abteilung:
Bildung und Entwicklung
Mind the gap! Unmet time schedules predict university students' negative affect during the […]
Theobald, Maria; Bellhäuser, Henrik
Zeitschriftenbeitrag
| In: Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie | 2019
41289 Endnote
Autor*innen:
Theobald, Maria; Bellhäuser, Henrik
Titel:
Mind the gap! Unmet time schedules predict university students' negative affect during the examination phase
In:
Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 51 (2019) 4, S. 190-203
DOI:
10.1026/0049-8637/a000218
URL:
https://econtent.hogrefe.com/doi/10.1026/0049-8637/a000218
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Schlagwörter:
Deutschland; Student; Prüfung; Lernzeit; Planung; Strategie; Einflussfaktor; Affekt; Stress; Wohlbefinden; Selbstregulation; Tagesablauf; Lernverhalten; Feedback; Einstellung <Psy>; Tagebuch; Mehrebenenanalyse
Abstract:
In der vorliegenden Studie wurde das dynamische Zusammenspiel zwischen Affekt und Zeitinvestment während der Prüfungsphase untersucht. Studierende (N = 56) füllten täglich Lerntagebücher aus und berichteten eine gleichzeitige Zunahme von negativem Affekt, geplantem Zeitinvestment und tatsächlicher Lernzeit über den Erhebungszeitraum (30 Tage). Der Anstieg des negativen Affekts konnte teilweise durch den Anstieg in der Lernzeit zu Semesterende erklärt werden. Bessere Planungsstrategien waren mit geringerem negativem und höherem positivem Affekt assoziiert. Verfehlte Zeitpläne sagten einen höheren negativen und geringeren positiven Affekt voraus. Die Ergebnisse zeigten zudem kompensatorische Feedbackschleifen: Negativer Affekt am Abend sagte ein höheres geplantes Zeitinvestment am nächsten Morgen vorher, jedoch ohne Verbesserungen der Planungsstrategien. Die Ergebnisse legen nahe, dass verfehlte Zeitpläne zum Anstieg des negativen Affekts während der Prüfungsvorbereitung beitragen könnten. Interventionen sollten Planungsstrategien fördern, um Studierende darin zu unterstützen, die Differenz zwischen geplanter und echter Lernzeit zu reduzieren. (DIPF/Orig.)
Abstract (english):
The goal of this study was to investigate the dynamic interplay of affect and time investment during exam preparation using daily learning diaries. University students (N = 56) reported a simultaneous increase in negative affect as well as intended and actual time investment over the course of the survey period (30 days). Cramming of study time partially accounted for the increase in negative affect. More planning strategies were associated with lower negative and more positive affect. Unmet time schedules predicted higher negative and lower positive affect. Results further revealed compensatory feedback loops: Higher negative affect in the evening predicted higher intended time investment on the next morning, but without improvements in planning strategies. Results suggest that unmet time schedules could contribute to the increase in negative affect during exam preparation. Interventions should promote students' planning to reduce the difference between intended and actual time investment. (DIPF/Orig.)
DIPF-Abteilung:
Bildung und Entwicklung
From signals to knowledge. A conceptual model for multimodal learning analytics
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik
Zeitschriftenbeitrag
| In: Journal of Computer Assisted Learning | 2018
38545 Endnote
Autor*innen:
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik
Titel:
From signals to knowledge. A conceptual model for multimodal learning analytics
In:
Journal of Computer Assisted Learning, 34 (2018) 4, S. 338-349
DOI:
10.1111/jcal.12288
URL:
https://onlinelibrary.wiley.com/doi/full/10.1111/jcal.12288
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Schlagwörter:
Computerunterstütztes Lernen; Datenanalyse; Lernprozess; Lernverhalten; Lerntheorie; Methode; Klassifikation; Modell; Empirische Forschung; Experimentelle Untersuchung; Übersicht
Abstract (english):
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is possible to capture observable events of the learning process such as learner's behaviour and the learning context. The learning process, however, consists also of latent attributes, such as the learner's cognitions or emotions. These attributes are unobservable to sensors and need to be elicited by human‐driven interpretations. We conducted a literature survey of experiments using multimodal data to frame the young research field of multimodal learning analytics. The survey explored the multimodal data used in related studies (the input space) and the learning theories selected (the hypothesis space). The survey led to the formulation of the Multimodal Learning Analytics Model whose main objectives are of (O1) mapping the use of multimodal data to enhance the feedback in a learning context; (O2) showing how to combine machine learning with multimodal data; and (O3) aligning the terminology used in the field of machine learning and learning science. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
JCAL special issue on multimodal learning analytics
Drachsler, Hendrik; Schneider, Jan
Zeitschriftenbeitrag
| In: Journal of Computer Assisted Learning | 2018
38547 Endnote
Autor*innen:
Drachsler, Hendrik; Schneider, Jan
Titel:
JCAL special issue on multimodal learning analytics
In:
Journal of Computer Assisted Learning, 34 (2018) 4, S. 335-337
DOI:
10.1111/jcal.12291
URN:
urn:nbn:de:0111-dipfdocs-169218
URL:
http://www.dipfdocs.de/volltexte/2019/16921/pdf/Drachsler_2018_JCAL_Special_Issue_A.pdf
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Sprache:
Englisch
Schlagwörter:
Lernprozess; Analyse; Digitale Medien; Datenerfassung; Methode; Datenanalyse; E-Learning; Lernverhalten; Einführung
DIPF-Abteilung:
Informationszentrum Bildung
Multimodal challenge. Analytics beyond user-computer interaction data
Di Mitri, Daniele; Schneider, Jan; Drachsler, Hendrik
Verschiedenartige Dokumente
| 2018
38263 Endnote
Autor*innen:
Di Mitri, Daniele; Schneider, Jan; Drachsler, Hendrik
Titel:
Multimodal challenge. Analytics beyond user-computer interaction data
Erscheinungsvermerk:
Amsterdam: LAK Hackathon, 2018 (The Fourth LAK Hackathon: Benefiting learning through novel data sources, standards and infrastructure)
URL:
https://lakhackathon.files.wordpress.com/2018/02/lakhackathon2018_paper_5.pdf
Dokumenttyp:
5. Arbeits- und Diskussionspapiere; Stellungnahme/Positionspapier
Sprache:
Englisch
Schlagwörter:
E-Learning; Lernprozess; Analyse; Lernverhalten; Computerunterstütztes Lernen; Datenerfassung; Computerunterstütztes Verfahren
Abstract (english):
This contribution describes one the challenges explored in the Fourth LAK Hackathon. This challenge aims at shifting the focus from learning situations which can be easily traced through user-computer interactions data and concentrate more in user-world interaction events, typical of co-located and practice-based learning experiences. This mission, pursued by the multimodal learning analytics (MMLA) community, seeks to bridge the gap between digital and physical learning spaces. The "multimodal" approach consists in combining learners' motoric actions with physiological responses and data about the learning contexts. These data can be collected through multiple wearable sensors and Internet of Things (IoT) devices. This Hackathon table will confront with three main challenges arising from the analysis and valorisation of multimodal datasets: 1) the data collection and storing, 2) the data annotation, 3) the data processing and exploitation. Some research questions which will be considered in this Hackathon challenge are the following: how to process the raw sensor data streams and extract relevant features? Which data mining and machine learning techniques can be applied? How can we compare two action recordings? How to combine sensor data with Experience API (xAPI)? What are meaningful visualisations for these data? (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
The big five. Addressing recurrent multimodal learning data challenges
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik
Verschiedenartige Dokumente
| 2018
38262 Endnote
Autor*innen:
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik
Titel:
The big five. Addressing recurrent multimodal learning data challenges
Erscheinungsvermerk:
Sydney: University of Technology, 2018 (Second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) workshop @ LAK18)
URL:
http://crossmmla.org/wp-content/uploads/2018/02/CrossMMLA2018_paper_9.pdf
Dokumenttyp:
5. Arbeits- und Diskussionspapiere; Stellungnahme/Positionspapier
Sprache:
Englisch
Schlagwörter:
E-Learning; Lernen; Daten; Lernumgebung; Lernverhalten; Lernerfolg; Lernprozess; Analyse; Datenerfassung; Erhebungsinstrument; Benutzerfreundlichkeit; Validität; Computerunterstütztes Verfahren
Abstract (english):
The analysis of multimodal data in learning is a growing field of research, whic has led to the development of different analytics solutions. However, there is no standardized approach to handle multimodal data. In this paper, we describe and outline a solution for five recurrent challenges in the analysis of multimodal data: the data collection, storing, annotation, processing and exploitation. For each of these challenges, we envision possible solutions. The prototypes for some of the proposed solutions will be discussed during the Multimodal Challenge of the Fourth Learning Analytics & Knowledge Hackathon, a two-day hands-on workshop that will open the prototypes for trials, validation and feedback. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Will you be my friend? A multilevel network analysis of friendships of students with and without […]
Henke, Thorsten; Bogda, Katja; Lambrecht, Jennifer; Bosse, Stefanie; Koch, Helvi; Maaz, Kai; […]
Zeitschriftenbeitrag
| In: Zeitschrift für Erziehungswissenschaft | 2017
37852 Endnote
Autor*innen:
Henke, Thorsten; Bogda, Katja; Lambrecht, Jennifer; Bosse, Stefanie; Koch, Helvi; Maaz, Kai; Spörer, Nadine
Titel:
Will you be my friend? A multilevel network analysis of friendships of students with and without special educational needs backgrounds in inclusive classrooms
In:
Zeitschrift für Erziehungswissenschaft, 20 (2017) 3, S. 449-474
DOI:
10.1007/s11618-017-0767-x
URN:
urn:nbn:de:0111-pedocs-216668
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-216668
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Schuljahr 02; Schuljahr 03; Soziometrie; Datenanalyse; Netzwerk; Mehrebenenanalyse; Empirische Untersuchung; Forschungsprojekt; Brandenburg; Deutschland; Schulklasse; Inklusion; Schüler; Sonderpädagogischer Förderbedarf; Schüler-Schüler-Beziehung; Freundschaft; Einflussfaktor; Wahrscheinlichkeit; Lesekompetenz; Mathematische Kompetenz; Soziales Verhalten; Lernverhalten; Schüler-Lehrer-Beziehung; Grundschule
Abstract:
Das Ziel der vorliegenden Studie war es, den Zusammenhang zu untersuchen zwischen einem diagnostizierten sonderpädagogischen Förderbedarf (SPF) und der Wahrscheinlichkeit, Freundschaften in einer inklusiven Schulklasse zu schließen. Es wurde angenommen, dass eine Kombination aus individuellen, dyadischen und kontextuellen Variablen einen möglichen Zusammenhang zwischen einer SPF-Diagnose und der Wahrscheinlichkeit einer Freundschaft vorhersagt. Die Querschnittsanalysen basieren auf einer Stichprobe von N=1241 Grundschulkindern der zweiten und dritten Klasse. Die vorliegende Studie hebt sich von bisherigen Forschungsarbeiten in zwei Punkten ab: Erstens wurden soziometrische Daten mit dem p2-Modell analysiert, einem spezialisierten Mehrebenen-Netzwerk-Modell. Zweitens untersuchte die Studie ausschließlich Freundschaften im inklusiven Unterricht und geht dabei insbesondere auf die Besonderheiten des Konzeptes Freundschaft ein. Insgesamt zeigte sich, dass Schulkinder mit einem SPF eine geringere Wahrscheinlichkeit hatten, mit ihren Klassenkameraden befreundet zu sein. Selbst unter Kontrolle individueller, dyadischer und kontextueller Variablen blieb dieser Zusammenhang zwischen der SPF-Diagnose und der Wahrscheinlichkeit einer Freundschaft zu den Klassenkameraden bestehen. Die Ergebnisse werden hinsichtlich ihrer Implikationen für die Theoriebildung und das inklusive Unterrichten diskutiert. (DIPF/Orig.)
Abstract (english):
The objective of this study was to determine the relationship between having a special educational needs background (SEN) and the likelihood of having friends in inclusive classes. We assumed that a combination of individual, dyadic and contextual variables can sufficiently explain the relation between a SEN diagnosis and the likelihood of friendship. Data analysis was based on a cross-sectional sample of students (N = 1241) in second and third grade primary-school classes. To address the different levels adequately, the present study improves upon previous research in two ways: First, the sociometric data were analyzed with the p2 model, a specialized multilevel network model. Second, the study focused solely on friendships and emphasized the concept's unique features with respect to inclusive education. Data analysis indicated that students with SEN had a decreased probability of becoming friends with their classmates compared to students without SEN. Even when individual, dyadic, and contextual variables were included into the model, the association between a SEN diagnosis and the likelihood of friendship persisted. The implications of the results are discussed with respect to their implications for inclusive teaching practice. (DIPF/Orig.)
DIPF-Abteilung:
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