This study investigates the acceptance of social robots by higher education students in the social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a sample of its capabilities during a first semester, large-scale, university course, “Introduction to academic writing.”From this course, 462 freshmen participated in our survey. The unified theory of acceptance and use of technology (UTAUT) acts as the conceptual framework, and partial least squares structural equation modelling (PLS-SEM) as the method for data analysis. The four perceived characteristics—trustworthiness, adaptiveness, social presence and appearance—all predict the intention to use the robot for learning purposes; anxiety regarding making mistakes in handling the robot and about privacy issues are not significant predictors. An importance-performance map analysis indicated adaptiveness as the robot’s most important characteristic for predicting student behavioural intention. Overall, however, the study shows that students do not have the intention to rely on social robots for learning purposes at the current level of state-of-the-art technology: behavioural intention reaches only 36.6% of the theoretical maximum. 相似文献
Background: Teachers’ important diagnostic abilities include noticing and interpreting students’ behaviors and learning processes. By focusing on noticing, I refer to the theoretical framework of professional vision. Professional vision includes the ability to notice what is occurring in complex classroom situations (selective attention) and the ability to give these events meaningful importance (knowledge-based reasoning).
Purpose: The purpose of this article is to investigate the noticing differences of groups with different expertise while they observe students’ activities in gym class.
Participants and setting: Sixty participants with different sport-specific and pedagogical expertise were asked to describe and interpret videotaped teaching sequences. Observational data were obtained from physical education classes. The focus was on motoric and social learning processes.
Research design: The groups were compared in a four-field design according to their observations and interpretations of students’ activities in gym class.
Data collection: The teaching sequences function as stimuli to activate selective attention and knowledge-based reasoning. The participants were questioned in guided interviews.
Data analysis: The participants’ comments were recorded, transcribed and analyzed based on qualitative content analysis. The analysis was performed with the software program MaxQDA. The comments were subsequently exported to the software program SPSS 20 for further analysis.
Results: By comparing groups with different sport-specific and pedagogical expertise, this study reveals new observation foci when people exclusively monitor students’ behaviors, not teachers’ behaviors, in authentic teaching situation along with different observation foci based on expertise.
Conclusions: The findings indicate that noticing is a characteristic of professionalization that should be given greater consideration in physical education teacher education (PETE) programs. Special observations tasks (e.g. focusing on social processes) and supplemental theoretical materials for specific issues in PETE programs that use video recordings could help improve learning to notice. 相似文献
The growing interest in the field of learning strategies has led to an increasing number of studies and, with that, the development of numerous instruments to measure the use of self-regulated learning (SRL) strategies. Due to the complexity of this research field, the types of assessment methods are diverse. For this reason, we conducted a systematic review of self-report instruments that measure SRL in higher education and highlight their main characteristics. In doing so, we applied the general principles of systematic reviewing—we conducted a systematic search of established psychological and educational databases with previously defined inclusion criteria and applied a multistage filtering process. In an additional step, we examined a subsample of nine established instruments in terms of their implementation characteristics, psychometric properties, and additional characteristics. The results illustrate the distribution of self-report instruments used in higher education and point to a growing use of course- or domain-specific questionnaires over the past decades as well as a lack of emotional and motivational regulation scales. 相似文献
Amidst increased research on mergers in higher education, studies addressing micro level processes are scarce and fragmented across disciplines: our aim is to systematically review existing studies, providing implications for research and practice. We grouped 21 studies from different countries under four themes: academic identity and self-image; cultural integration; staff reaction; teaching and research. Timing, status of institutions and staff, and disciplinary cultures apparently affect post-merger micro-level processes. Policy reforms might indirectly address micro-level processes following a merger, for example in a change of academic identities. Few studies investigated the impact of mergers on teaching and research activities. Studying merger consequences for academic core activities is complex, requiring a longer perspective involving students, staff and quantitative indicators. Longitudinal design in further studies might investigate changes from different angles and for different staff groups and students, exploring country differences in micro-level processes, applying a comparative design. Despite limitations, our review might inform the planning of merger processes regarding reactions at micro level.
In order to examine and explain differences in self-regulated (SR) deep learning of successful immigrant and non-immigrant
students we investigated a population of 650 high track 10th grade students in Amsterdam, of which 39% had an immigrant background.
By means of a questionnaire based on the MSLQ of Pintrich and De Groot (1990) the students reported their use of learning
and resource management strategies, and their motivational values and attitudes. Two tests measured vocabulary and mathematical
reasoning. Background characteristics, grades, track position and school composition (i.e., proportions of immigrant students)
were registered as well.
A factor analysis yielded two learning patterns: self-regulated deep learning and self-regulated surface learning. Subsequent
analyses of variance showed that, compared to boys, girls prefer SR surface learning. However, immigrant girls fit best in
the SR deep learning pattem. The contrast between immigrant and non-immigrant girls is substantial. Explanations for this
particular group difference, and for variance in SR deep learning in general, were explored. Of the achievement measures,
only average grade explains variance in SR deep learning. Motivational values and resource management strategies do so as
well. Track position does not, but school composition does affect the way immigrant students learn. Schools with more than
60% immigrant students enhance more SR deep learning than schools with less than 20% immigrant students. As the difference
in SR deep learning between immigrant and non-immigrant girls is not explained by any of the covariates, we suggest alternative
explanations in the discussion section. 相似文献
