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DieFelix-App
(2020)
Emotionen besitzen eine große Bedeutung bei Lernprozessen. Nach der „Control-Value“-Theorie wird davon ausgegangen, dass positive Emotionen sich positiv, nega tive Emotionen sich hingegen negativ auf den Lernprozess auswirken können. Die Felix-App greift solche Effekte auf, um das Befinden und die Bedürfnisse von Lehrenden und Lernenden in Echtzeit zu erfassen und direkt in Form anschaulicher Grafiken zurück-zumelden. Der theoretische Hintergrund und Best-Practice-Beispiele werden erläutert.
The “output-orientation” is omnipresent in teacher education. In order to evaluate teachers' and students' performances, a wide range of different quantitative questionnaires exist worldwide. One important goal of teaching evaluation is to increase the quality of teaching and learning. The author argues, that standard evaluations which are typically made at the end of the semester are problematic due to two reasons. The first one is that some of the questions are too general and don`t offer concrete ideas as to what kind of actions can be taken to make the courses better. The second problem is that the evaluation is mostly made when the course is already over. Because of this criticism, Apelojg invented the Felix-App which offers the possibility to give feedback in real-time by asking for the emotions and needs that occur during different learning situations. The idea is very simple: positive emotions and satisfied needs are helpful for the learning process. Negative emotions and unsatisfied needs have negative effects on the learning process. First descriptive results show, that “managing emotions” during classes can have positive effects on both motivation and emotions.
This study seeks to explain the major drivers of trading activity in commodity futures markets and gage the effect of trading activity on commodity prices. Rather than concentrating on a specific commodity subgroup or a particular type of commodity traders, we provide an extensive overview of the behavior across all market participants and their influence on commodity prices by using a broad set of commodity futures contracts. Although commodity futures returns show co-movement with financial fundamentals (U.S. dollar index, equity, and bond markets), based on the Disaggregated Commitment of Traders Report (DCOT), this relationship cannot be attributed to trading activity. Pricing in commodity markets can be predominantly attributed to hedgers and influential speculators (money managers), whereas small speculators (nonreportable traders) are crucial to some soft commodity futures similar to dealers in metals commodity futures. Furthermore, we find limited cases where inventory changes exert a sizable influence on position changes of DCOT traders.
This article introduces a new theory, the Affective-Reflective Theory (ART) of physical inactivity and exercise. ART aims to explain and predict behavior in situations in which people either remain in a state of physical inactivity or initiate action (exercise). It is a dual-process model and assumes that exercise-related stimuli trigger automatic associations and a resulting automatic affective valuation of exercise (type-1 process). The automatic affective valuation forms the basis for the reflective evaluation (type-2 process), which can follow if self-control resources are available. The automatic affective valuation is connected with an action impulse, whereas the reflective evaluation can result in action plans. The two processes, in constant interaction, direct the individual towards or away from changing behavior. The ART of physical inactivity and exercise predicts that, when there is an affective-reflective discrepancy and self-control resources are low, behavior is more likely to be governed by the affective type-1 process. This introductory article explains the underlying concepts and main theoretical roots from which the ART of physical inactivity and exercise was developed (field theory, affective responses to exercise, automatic evaluation, evaluation-behavior link, dual-process theorizing). We also summarize the empirical tests that have been conducted to refine the theory in its present form.
Spiele und spieltypische Elemente wie das Sammeln von Treuepunkten sind aus dem Alltag kaum wegzudenken. Zudem werden sie zunehmend in Unternehmen oder in Lernumgebungen eingesetzt. Allerdings ist die Methode Gamification bisher für den pädagogischen Kontext wenig klassifiziert und für Lehrende kaum zugänglich gemacht worden.
Daher zielt diese Bachelorarbeit darauf ab, eine systematische Strukturierung und Aufarbeitung von Gamification sowie innovative Ansätze für die Verwendung spieltypischer Elemente im Unterricht, konkret dem Mathematikunterricht, zu präsentieren. Dies kann eine Grundlage für andere Fachgebiete, aber auch andere Lehrformen bieten und so die Umsetzbarkeit von Gamification in eigenen Lehrveranstaltungen aufzeigen.
In der Arbeit wird begründet, weshalb und mithilfe welcher Elemente Gamification die Motivation und Leistungsbereitschaft der Lernenden langfristig erhöhen, die Sozial- und Personalkompetenzen fördern sowie die Lernenden zu mehr Aktivität anregen kann. Zudem wird Gamification explizit mit grundlegenden mathematikdidaktischen Prinzipien in Verbindung gesetzt und somit die Relevanz für den Mathematikunterricht hervorgehoben.
Anschließend werden die einzelnen Elemente von Gamification wie Punkte, Level, Abzeichen, Charaktere und Rahmengeschichte entlang einer eigens für den pädagogischen Kontext entwickelten Klassifikation „FUN“ (Feedback – User specific elements – Neutral elements) schematisch beschrieben, ihre Funktionen und Wirkung dargestellt sowie Einsatzmöglichkeiten im Unterricht aufgezeigt. Dies beinhaltet Ideen zu lernförderlichem Feedback, Differenzierungsmöglichkeiten und Unterrichtsrahmengestaltung, die in Lehrveranstaltungen aller Art umsetzbar sein können. Die Bachelorarbeit umfasst zudem ein spezifisches Beispiel, einen Unterrichtsentwurf einer gamifizierten Mathematikstunde inklusive des zugehörigen Arbeitsmaterials, anhand dessen die Verwendung von Gamification deutlich wird.
Gamification offeriert oftmals Vorteile gegenüber dem traditionellen Unterricht, muss jedoch wie jede Methode an den Inhalt und die Zielgruppe angepasst werden. Weiterführende Forschung könnte sich mit konkreten motivationalen Strukturen, personenspezifischen Unterschieden sowie mit mathematischen Inhalten wie dem Problemlösen oder dem Wechsel zwischen verschiedenen Darstellungen hinsichtlich gamifizierter Lehrformen beschäftigen.
Statistik Lernen im Rahmen des Psychologiestudiums wurde als Untersuchungsgegenstand zur empirischen Überprüfung der angenommenen Wirkung volitionaler Handlungsregulation herangezogen. Neben fähigkeitsbezogenen und motivationalen Faktoren sollten bei dieser von vielen Studierenden aversiv erlebten Tätigkeit die Aspekte der volitionalen Handlungsregulation entscheidend sein. Nur Personen, die sich trotz des aversiven Tätigkeitserlebens zum Statistik Lernen "zwingen" können, sollten erfolgreich sein. Auf dem Hintergrund des Prozessmodells der Lernmotivation wurden die angenommenen Wirkungen der volitionalen Faktoren denen der motivationalen Einflussgrößen zugeordnet und in einem längsschnittlichen Design an zwei aufeinander folgenden Wintersemestern an der Universität Potsdam und an der TU Berlin empirisch überprüft (N = 273). Die Annahmen zu den fähigkeits- und motivationsrelevanten Faktoren des analyseleitenden Prozessmodells der Lernmotivation konnten weitgehend bestätigt werden. Die Personenmerkmale (fähigkeitsbezogene Merkmale, Leistungsmotiv und Commitment für das Psychologiestudium) bedingen zu einem wesentlichen Teil die Aspekte der aktuellen Motivation für das Statistik Lernen. Letztere wurde durch die Komponenten des Erweiterten Kognitiven Motivationsmodells (EKM) und anhand der Lernintentionen erfasst. Dabei zeigt sich, dass die aktuelle Motivation für das Statistik Lernen insgesamt günstig ausgeprägt ist. Die Aspekte der aktuellen Motivation beeinflussen wiederum Prozessvariablen wie den Lernaufwand, das emotionale Erleben und den Funktionszustand während des Lernens. Der Lernaufwand und das Flow-Erleben (als Indikator für den Funktionszustand) sowie deren Interaktion sagen die Klausurleistung am Ende des Semesters vorher (dies auch, wenn fähigkeitsbezogene Merkmale mit berücksichtigt werden). Vor dem Hintergrund des insgesamt theoriekonsistenten Gesamtbildes ergeben sich dennoch einige Abweichungen von den theoretischen Annahmen. Diese werden eingehend diskutiert. Entgegen der zentralen Annahme, tragen die dem Prozessmodell der Lernmotivation zugeordneten volitionalen Faktoren insgesamt betrachtet kaum zu einem weitergehenden Verständnis des Lernprozesses bei. Die theoretischen Annahmen können weitgehend nicht bestätigt werden. So sagen die volitionalen Faktoren nicht, wie angenommen, bei hoher instrumenteller Handlungsveranlassung und gleichzeitig aversivem Tätigkeitserleben Prozessmerkmale des Lernens vorher. Ausführlich diskutiert wird, inwieweit dies auf falsche theoretische Annahmen oder auf eine mangelnde Operationalisierung und Auswertung zurück geht. Zusätzlich zum Prozessmodell der Lernmotivation wurden weitergehende Annahmen zur Wirkung des impliziten und expliziten Leistungsmotivs überprüft. Dabei zeigt sich erwartungsgemäß, dass sich das implizite Leistungsmotiv beim Statistik Lernen bei einer individuellen Bezugsnorm förderlich auswirkt. Die moderierende Wirkung der sozialen Bezugsnorm für das explizite Leistungsmotiv kann anhand der vorliegenden Daten nicht bestätigt werden. Für das implizite Leistungsmotiv zeigt sich über die Annahmen hinaus eine förderliche Wirkung auf die Klausurteilnahme. Für Personen mit einem hohen impliziten Leistungsmotiv findet sich eine höhere Wahrscheinlichkeit, die Klausur mitzuschreiben. Dieser Befund macht den in der Leistungsmotivationsforschung gefundenen Zusammenhang zwischen Leistungsmotiv und Karriereerfolg "im Kleinen" verständlich. Theoretische Arbeiten legen nahe, dass die volitionale Handlungssteuerung nicht eine unabhängige, sondern eine zum Teil von dem Zusammenwirken der impliziten und expliziten Motivsysteme abhängige Größe darstellt. Für das Leistungsmotiv konnte dies bestätigt werden. So wirkt sich eine hohe Ausprägung des expliziten Leistungsmotivs dann positiv auf die volitionale Handlungssteuerung aus, wenn das implizite Leistungsmotiv hoch ausgeprägt ist. Die Ergebnisse bei den Machtmotivsystemen zeigen, dass nicht immer eine Übereinstimmung der Motive förderlich ist. Eine funktionale Perspektive scheint hier angemessen und weiterführend. Die Arbeit schließt mit der Frage, welche Motivkonstellationen im Sinne einer volitionalen Handlungssteuerung ideal sind. Dabei wird postuliert, dass das Wissen über implizite Vorlieben einer Person helfen sollte, für sie passende Situationen aktiv aufzusuchen oder herzustellen und dadurch eine volitionale Handlungssteuerung besser gelingt sowie diese Art der Steuerung weniger nötig macht.
The purpose of this thesis was to investigate the developmental dynamics between interest, motivation, and learning strategy use during physics learning. The target population was lower secondary school students from a developing country, given that there is hardly in research that studies the above domain-specific concepts in the context of developing countries. The aim was addressed in four parts.
The first part of the study was guided by three objectives: (a) to adapt and validate the Science Motivation Questionnaire (SMQ-II) for the Ugandan context; (b) to examine whether there are significant differences in motivation for learning Physics with respect to students’ gender; and (c) to establish the extent to which students’ interest predicts their motivation to learn Physics. Being a pilot study, the sample comprised 374 randomly selected students from five schools in central Uganda who responded to anonymous questionnaires that included scales from the SMQ-II and the Individual Interest Questionnaire. Data were analysed using confirmatory factor analyses, t-tests and structural equation modelling in SPSS-25 and Mplus-8. The five-factor model solution of the SMQ-II fitted adequately with the study data, with deletion of one item. The modified SMQ-II exhibited invariant factor loadings and intercepts (i.e., strong measurement invariance) when administered to boys and girls. Furthermore, on assessing whether motivation for learning Physics varied with gender, no significant differences were noted. On assessing the predictive effects of individual interest on students’ motivation, individual interest significantly predicted all motivational constructs, with stronger predictive strength on students’ self-efficacy and self-determination in learning Physics.
In the second part whilst using comprised 934 Grade 9 students from eight secondary schools in Uganda, Latent profile analysis (LPA) - a person-centred approach was used to investigate motivation patterns that exist in lower secondary school students during physics learning. A three-step approach to LPA was used to answer three research questions: RQ1, which profiles of secondary school students exist with regards to their motivation for Physics learning; RQ2, are there differences in students’ cognitive learning strategies in the identified profiles; and RQ3, does students’ gender, attitudes, and individual interest predict membership in these profiles? Six motivational profiles were identified: (i) low-quantity motivation profile (101 students; 10.8%); (ii) moderate-quantity motivation profile (246 students; 26.3%); (iii) high-quantity motivation profile (365 students; 39.1%); (iv) primarily intrinsically motivated profile (60 students,6.4%); (v) mostly extrinsically motivated profile (88 students, 9.4%); and (vi) grade-introjected profile (74 students, 7.9%). Low-quantity and grade introjected motivated students mostly used surface learning strategies whilst the high-quantity and primarily intrinsically motivated students used deep learning strategies. On examining the predictive effect of gender, individual interest, and students’ attitudes on the profile membership, unlike gender, individual interest and students’ attitudes towards Physics learning strongly predicted profile membership.
In the third part of the study, the occurrence of different secondary school learner profiles depending on their various combinations of cognitive and metacognitive learning strategy use, as well as their differences in perceived autonomy support, intrinsic motivation, and gender was examined. Data were collected from 576 9th grade student. Four learner profiles were identified: competent strategy user, struggling user, surface-level learner, and deep-level learner profiles. Gender differences were noted in students’ use of elaboration and organization strategies to learn Physics, in favour of girls. In terms of profile memberships, significant differences in gender, intrinsic motivation and perceived autonomy support were also noted. Girls were 2.4 - 2.7 times more likely than boys to be members of the competent strategy user and surface-level learner profiles. Additionally, higher levels of intrinsic motivation predicted an increased likelihood membership into the deep-level learner profile, whilst higher levels of perceived teacher autonomy predicted an increased likelihood membership into the competent strategy user profile as compared to other profiles.
Lastly, in the fourth part, changes in secondary school students’ physics motivation and cognitive learning strategies use during physics learning across time were examined. Two waves of data were collected from initially 954 9th students through to their 10th grade. A three-step approach to Latent transition analysis was used. Generally, students’ motivation decreased from 9th to 10th grade. Qualitative students’ motivation profiles indicated strong with-in person stability whilst the quantitative profiles were relatively less stable. Mostly, students moved from the high quantity motivation profile to the extrinsically motivated profiles. On the other hand, the cognitive learning strategies use profiles were moderately stable; with higher with-in person stability in the deep-level learner profile. None of the struggling users and surface-level learners transitioned into the deep-level learners’ profile. Additionally, students who perceived increased support for autonomy from their teachers had higher membership likelihood into the competent users’ profiles whilst those with an increase in individual interest score had higher membership likelihood into the deep-level learner profile.
An effective handling of heterogeneous groups in classrooms is one of the main challenges that teachers face when planning their instruction. However, including means of adaptive teaching in classrooms also yields the chance to re-conceptualize classroom instruction. Researchers and practitioners often discuss the question of how different ability levels can be considered adequately in teaching and learning. Because motivation is a central source of competence development and self-regulated learning, the current article discusses how teaching can adapt to learners' different motivational states and traits. In a first step, we review theoretical and empirical perspectives on intra- and interindividual motivational differences in students and their relations to other dimensions of classroom heterogeneity such as gender, ethnic background, and socio-economic status. Against this background, we discuss how instruction can adapt effectively to learners' different motivational needs. We introduce a model of adaptive teaching that refers to students' intra- and interindividual motivational differences and derive conclusions for teacher education and instructional practice.
Pre-service physics teachers often do not recognise the relevance for their future career in their university content knowledge courses. A lower perceived relevance can, however, have a negative effect on their motivation and on their academic success. Several intervention studies have been undertaken with the goal to increase this perceived relevance. A previous study shows that conceptual physics problems used in university physics courses are perceived by pre-service physics teachers as more relevant for their future career than regular, quantitative problems. It is however not clear, what the students' meaning of the construct 'relevance' is: what makes a problem more relevant to them than another problem? To answer this question, N = 7 pre-service teachers were interviewed using the repertory grid technique, based on the personal construct theory. Nine physics problems were discussed with regards to their perceived relevance and with regards to problem properties that distinguish these problems from each other. We are able to identify six problem properties that have a positive influence on the perceived relevance. Physics problems that are based on these properties should therefore potentially have a higher perceived relevance, which can have a positive effect on the motivation of the pre-service teachers who solve these problems.
Procrastination is a self-regulatory problem of voluntarily and destructively delaying intended and necessary or personally important tasks. Previous studies showed that procrastination is associated with executive dysfunctions that seem to be particularly strong in punishing contexts. In the present event-related potential (ERP) study a monetary version of the parametric Go/No-Go task was performed by high and low academic procrastinators to verify the influence of motivational context (reward vs. punishment expectation) and task difficulty (easy vs. hard) on procrastination-related executive dysfunctions. The results revealed increased post-error slowing along with reduced P300 and error-related negativity (ERN) amplitudes in high (vs. low) procrastination participants-effects that indicate impaired attention and error-related processing in this group. This pattern of results did not differ as a function of task difficulty and motivation condition. However, when the task got more difficult executive attention deficits became even more apparent at the behavioral level in high procrastinators, as indexed by increased reaction time variability. The findings substantiate prior preliminary evidence that procrastinators show difficulties in certain aspects of executive functioning (in attention and error processing) during execution of task-relevant behavior, which may be more apparent in highly demanding situations.