Gaze data are still uncommon in statistics education despite their promise. Gaze data provide teachers and researchers with a new window into complex cognitive processes. This article discusses how gaze data can inform and be used by teachers both for their own teaching practice and with students. With our own eye-tracking research as an example, background information on eye-tracking and possible applications of eye-tracking in statistics education is provided. Teachers indicated that our eye-tracking research created awareness of the difficulties students have when interpreting histograms. Gaze data showed details of students' strategies that neither teachers nor students were aware of. With this discussion paper, we hope to contribute to the future usage and implementation of gaze data in statistics education by teachers, researchers, educational and textbook designers, and students.
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Purpose - Peer instruction has been widely adopted as an instructional method in higher education. However, due to students' different preconceptions, the authors argued that peer instruction is not a panacea in international business education when students' prior knowledge extensively varies. The paper aims to discuss these issues. Design/methodology/approach - In this experimental study, the authors focused on three conditions of an introductory statistics course: individual problem solving, peer instruction, and peer instruction with hints. Findings - The authors have found students in peer instruction with hints class did not only outperform in the final exam, but also achieved the highest frequency of successful conceptual changes in comparison with their counterparts in the other two classes. Practical implications - Providing instructional hints to improve the effectiveness of peer instruction may shed light on classroom instruction in higher education. Originality/value - As for international business education, this was a unique exploration to capture students' conceptual changes using clickers. The authors believed this research paper will help the education practitioners to know their business students better.
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This quasi-experimental study examines the effect of short instruction videos on students’ business statistics learning. Two hundred and thirty-one Dutch students attended 6-week online seminars on Business Statistics. One hundred and nineteen students were in an experimental group, and 112 in a control group. Students in the experimental group watched short instructional videos and studied online quizzes at their own pace. In the control group, students followed teachers’ instructions throughout the seminars. It was found students watching short videos significantly outperformed those following teachers’ virtual instruction. Short videos were especially useful for those who were good at math. The research sheds light on the design of hybrid learning, particularly for business statistics education at the university level.
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The Ecocentric and Anthropocentric Attitudes toward the Sustainable Development (EAATSD) scale measures environmental concern in relation to sustainable development. This article will discuss how this scale was tested with three groups of Dutch higher education students. Findings demonstrate that anthropocentric and ecocentric values are independent of the students’ chosen course of study, suggesting that students attracted by the ‘sustainable development’ course title do not necessarily associate ‘sustainability’ with ecocentric aims. This article discusses why ecocentric values are beneficial to the objective of a sustainable society and proposes ways forward in which these values can be enhanced in learners. https://doi.org/10.3390/educsci7030069 https://www.linkedin.com/in/helenkopnina/
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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Blended learning, a teaching format in which face-to-face and online learning is integrated, nowadays is an important development in education. Little is known, however, about its affordances for teacher education, and for domain specific didactical courses in particular. To investigate this topic, we carried out a design research project in which teacher educators engaged in a co-design process of developing and field-testing open online learning units for mathematics and science didactics. The preliminary results concern descriptions of the work processes by the design teams, of design heuristics, and of typical ways of collaborating. These findings are illustrated for the case of two of the designed online units on statistics didactics and mathematical thinking, respectively.
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Poster presented at EFYE 2018. Strengthening the wellbeing of students is an increasingly important approach of the development of students’ social, emotional and academic skills. Personal wellbeing motivates, among other things, students to learn and increases academic involvement and performance accordingly (Noble et al., 2008). According to the Centre for Education of Statistics and Evaluation (CESE, 2015) the educational welfare of students is also important for another reason; the recognition that teaching is not just about achieving academic performance, but also about the welfare of the student as a whole (intellectual, physical, social, emotional, moral and spiritual). Recent studies indicate that more and more students suffer from (mental) health problems (LSvB 2013, 2017; Schaufeli et al., 2002). The aim of the Student Wellbeing Project at Inholland University of Applied Sciences is to 1) investigate the state of student wellbeing in Dutch higher education and investigate the factors that influence wellbeing, 2) explore and offer best practices to improve student wellbeing (curative and preventive) 3) establish a strong (international) partnership and collaborate to improve student wellbeing.
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Background: The aim of this study is to validate a newly developed nurses' self-efficacy sources inventory. We test the validity of a five-dimensional model of sources of self-efficacy, which we contrast with the traditional four-dimensional model based on Bandura's theoretical concepts. Methods: Confirmatory factor analysis was used in the development of the newly developed self-efficacy measure. Model fit was evaluated based upon commonly recommended goodness-of-fit indices, including the χ2 of the model fit, the Root Mean Square Error of approximation (RMSEA), the Tucker-Lewis Index (TLI), the Standardized Root Mean Square Residual (SRMR), and the Bayesian Information Criterion (BIC). Results: All 22 items of the newly developed five-factor sources of self-efficacy have high factor loadings (range .40-.80). Structural equation modeling showed that a five-factor model is favoured over the four-factor model. Conclusions and implications: Results of this study show that differentiation of the vicarious experience source into a peer- and expert based source reflects better how nursing students develop self-efficacy beliefs. This has implications for clinical learning environments: a better and differentiated use of self-efficacy sources can stimulate the professional development of nursing students.
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Numeracy and mathematics education in vocational education is under pressure to keep up with the rapid changes in the workplace due to developments in workplace mathematics and the ubiquitous availability of technological tools. Vocational education is a large stream in education for 12- to 20-years-olds in the Netherlands and the numeracy and mathematics curriculum is on the brink of a reform. To assess what is known from research on numeracy in vocational education, we are in the process of conducting a systematic review of the international scientific literature of the past five years to get an overview of the recent developments and to answer research questions on the developments in vocational educational practices. The work is still in progress. We will present preliminary and global results. We see vocational education from the perspective of (young) adults learning mathematics.
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This article reports on a literature review on empirical research investigating learning for vocations in the context of vocational education. We included 36 studies in which learning for vocations is empirically studied. Learning for vocations is characterised based upon prevalent research traditions in the field and framed from the perspective of vocational education and organised learning practices. This framing and characterisation directed the search terms for the review. Results show empirical data on vocational learning and illustrate how learning processes for the functions of vocational education - vocational identity development, development of a vocational repertoire of actions, and vocational knowledge development - actually take place. The review further shows that, empirical illustrations of learning processes that occur in the context of vocational education and organised learning practices are relatively scarce. The findings can be typified in relation to our theoretical framework in terms of three learning processes, that is learning as a process of (a) belonging, becoming, and being, (b) recontextualization, and (c) negotiation of meaning and sense-making. We argue that more empirical research should be carried out, using the functions of vocational education and the three learning processes to better understand vocational learning.
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