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Entrepreneurship education (EE) has attracted much scholarly attention, showing exponential growth in publication and citation numbers. The research field has become broad, complex, and fragmented, making it increasingly difficult to oversee. Our research goal is to organise and integrate the previous literature. To this end, we use bibliometric analyses, differing from prior analyses, which are outdated or have a different focus. Our results show an immense growth in publications and citations over the last decade and an almost equal involvement of business and educational research. We identify the most productive and influential journals and authors. Our co-citation analysis reveals two research clusters, one focusing on psychological constructs relating to EE, and the other on entrepreneurial behaviour and new venture creation. Based on a review of the 25 most-cited articles on an annual basis, we identify and quantify the most relevant research themes and integrate them into a research framework that we propose for future research. A major finding is that extant research centres around the outcomes of entrepreneurship education, whereas its pedagogy is still mainly a black box.
In this study, we investigated effects of morphological processing on handwriting production in beginning writers of German. Children from Grades 3 and 4 were asked to copy words from a computer screen onto a pen tablet, while we recorded their handwriting with high spatiotemporal resolution. Words involved a syllable-congruent visual disruption (e.g., "Golfer"), a morpheme-congruent visual disruption (e.g., "Golfer"), or had no disruption (e.g., "Golfer"). We analyzed productions in terms of Writing Onset Duration and Letter Duration at the onset of the second syllable ("f" in "Gol.fer") and the onset of the suffix ("e" in "Golf_er"). Results showed that durations were longer at word-writing onset only for words with a morpheme-congruent visual disruption. Also, letter durations were longer at the onset of the second syllable (i.e., "-fer") and shorter at the onset of the suffix (i.e., "-er") only for words with a syllable-congruent visual disruption. We interpret these findings within extant theories of handwriting production and offer an explanation for the observed effects before and during trajectory formation.
Do stereotypes strike twice?
(2019)
Stereotypes influence teachers' perception of and behaviour towards students, thus shaping students' learning opportunities. The present study investigated how 315 Australian pre-service teachers' stereotypes about giftedness and gender are related to their perception of students' intellectual ability, adjustment, and social-emotional ability, using an experimental vignette approach and controlling for social desirability in pre-service teachers' responses. Repeated-measures ANOVA showed that pre-service teachers associated giftedness with higher intellectual ability, but with less adjustment compared to average-ability students. Furthermore, pre-service teachers perceived male students as less socially and emotionally competent and less adjusted than female students. Additionally, pre-service teachers seemed to perceive female average-ability students' adjustment as most favourable compared to male average-ability students and gifted students. Findings point to discrepancies between actual characteristics of gifted female and male students and stereotypes in teachers' beliefs. Consequences of stereotyping and implications for teacher education are discussed.
In his essay, Mel Ainscow looks at inclusion and equity from an international perspective and makes suggestions on how to develop inclusive education in a ‘whole-system approach’. After discussing different conceptions of inclusion and equity, he describes international policies which address them. From this international macro-level, Ainscow zooms in to the meso-level of the school and its immediate environment, defining dimensions to be considered for an inclusive school development. One of these dimensions is the ‘use of evidence’. In my comment, I want to focus on this dimension and discuss its scope and the potential to apply it in inclusive education development. As a first and important precondition, Ainscow explains that different circumstances lead to different linguistic uses of the term ‘inclusive education’. Thus, the term ‘inclusive education’ does not refer to an identical set of objectives across countries, and neither does the term ‘equity’.
Supporting reflection in preservice during university-based training is, without doubt, a crucial aspect in attaining teacher professionalism. Therefore, an on-campus seminar designed to relate theory to practice and vice versa – the so-called ‘Lehr-Lern-Labor-Seminar (LLLS)’ – was implemented over the course of five terms to stimulate reflective skills of English and Physics teacher trainees. Investigations on the effectiveness of three types of the LLLS (no video and two types of video-supported reflections) compared to a parallel group (PG) and a control group (CG) occurred in a mixed methods quasi-experimental study. Reflective skills were elicited with vignettes, relevant covariates with questionnaires. Reflective development was then traced in the dimensions depth and breadth employing a qualitative content analysis. MANCOVA (Multivariate Analysis of Covariance) and regression analyses revealed a substantive increase of reflective depth for English and Physics teacher trainees and breadth development for English LLLS-participants in contrast to both, a PG and a CG, even when controlling for the subjects’ individual prerequisites.
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.
The collaboration-based professional development approach Lesson Study (LS), which has its roots in the Japanese education system, has gained international recognition over the past three decades and spread quickly throughout the world. LS is a collaborative method to professional development (PD) that incorporates multiple characteristics that have been identified in the research literature as key to effective PD. Specifically, LS is a long-term process that consists of subsequent inquiry cycles, it is site-based and integrated in teachers’ practice, it encourages collaboration and reflection, places a strong emphasis on student learning, and it typically involves external experts that support the process or offer additional insights.
As LS integrates all these characteristics, it has rapidly gained international popularity since the turn of the 21st century and is currently being practiced in over 40 countries around the world. This international borrowing of the idea of LS to new national contexts has given rise to a research field that aims to investigate the effectiveness of LS on teacher learning as well as the circumstances and mechanisms that make LS effective in various settings around the world. Such research is important, as borrowing educational innovations and adapting them to new contexts can be a challenging process. Educational innovations that fail to deliver the expected outcomes tend to be abandoned prematurely and before they have been completely understood or a substantial research base has been established.
In order to prevent LS from early abandonment, Lewis and colleagues outlined three critical research needs in 2006, not long after LS was initially introduced to the United States. These research needs included (1) developing a descriptive knowledge base on LS, (2) examining the mechanisms by which teachers learn through LS, and (3) using design-based research cycles to analyze and improve LS.
This dissertation set out to take stock of the progress that has been made on these research needs over the past 20 years. The scoping review conducted for the framework of this dissertation indicates that, while a large and international knowledge base has been developed, the field has not yet produced reliable evidence of the effectiveness of LS. Based on the scoping review, this dissertation makes the case that Lewis et al.’s (2006) critical research needs should be updated. In order to do so, a number of limitations to the current knowledge base on LS need to be addressed. These limitations include (1) the frequent lack of comparable and replicable descriptions of the LS intervention in publications, (2) the incoherent use or lack of use of theoretical frameworks to explain teacher learning through LS, (3) the inconsistent use of terminology and concepts, and (4) the lack of scientific rigor in research studies and of established ways or tools to measure the effectiveness of LS.
This dissertation aims to advance the critical research needs in the field by examining the extent and nature of these limitations in three research studies. The focus of these studies lies on the LS stages of observation and reflection, as these stages have a high potential to facilitate teacher learning. The first study uses a mixed-method design to examine how teachers at German primary schools reflect critically together. The study derives a theory-based definition of critical and collaborative reflection in order to re-frame the reflection element in LS.
The second study, a systematic review of 129 articles on LS, assess how transparent research articles are in reporting how teachers observed and reflected together. In addition, it is investigated whether these articles provide any kind of theorization for the stages of observation and reflection.
The third study proposes a conceptual model for the field of LS that is based on existing models of continuous professional development and research findings on team effectiveness and collaboration. The model describes the dimensions of input, mediating mechanisms, and outcomes in order to provide a conceptual grid to teachers’ continuous professional development through LS.
Many participants in Massive Open Online Courses are full-time employees seeking greater flexibility in their time commitment and the available learning paths. We recently addressed these requirements by splitting up our 6-week courses into three 2-week modules followed by a separate exam. Modularizing courses offers many advantages: Shorter modules are more sustainable and can be combined, reused, and incorporated into learning paths more easily. Time flexibility for learners is also improved as exams can now be offered multiple times per year, while the learning content is available independently. In this article, we answer the question of which impact this modularization has on key learning metrics, such as course completion rates, learning success, and no-show rates. Furthermore, we investigate the influence of longer breaks between modules on these metrics. According to our analysis, course modules facilitate more selective learning behaviors that encourage learners to focus on topics they are the most interested in. At the same time, participation in overarching exams across all modules seems to be less appealing compared to an integrated exam of a 6-week course. While breaks between the modules increase the distinctive appearance of individual modules, a break before the final exam further reduces initial interest in the exams. We further reveal that participation in self-paced courses as a preparation for the final exam is unlikely to attract new learners to the course offerings, even though learners' performance is comparable to instructor-paced courses. The results of our long-term study on course modularization provide a solid foundation for future research and enable educators to make informed decisions about the design of their courses.
Development of self-concept and task interest has been shown to be affected by social comparison processes in a variety of cross-sectional studies. A potential explanation for these effects is an effect of social comparative performance feedback on an individual’s self-evaluation of performance, which in turn influences development of self-concept and task interest. There are, however, only few studies addressing this topic with experimental designs. This study was aimed at closing this research gap by experimentally manipulating social comparative performance. Feedback given was based on 2 × 2 experimental conditions: social position (high vs. low) and average performance of the reference group (high vs. low). Results show a strong effect of social position on self-evaluation of performance and smaller effects on self-concept and task interest.
Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.