Investigating Soft Skills Development through Peer Reviews Assessments in an Entrepreneurship Course

Pisoni, Galena; Gaio, Loris; Rossi, Alessandro

doi:10.1109/ism46123.2019.00065

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…We also believe that from this work and this data set that we have created for this study, we can draw interesting conclusions for the development of entrepreneurship skills and competencies and how much actually peer-review assignments online can help (or not) the development of them. Other works have looked in this direction too, that is if peer review can be used to determine development of soft skills [21]. We observed that the students felt freer to give feedback and usually wrote more in the Design Thinking and Leadership assignments, while usually their feedback was more contained in the Introduction to digital transformation session.…”

Section: General Impressions and Learnings From The Coursementioning

confidence: 80%

An Exploratory Study into Graduate Students’ Attitudes Towards Peer Assessment

Chen

Pisoni

Gijlers

2021

Educating Engineers for Future Industrial Revolutions

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In recent decades, many researchers have been working on the effectiveness of peer assessment in higher education. Being a useful teaching tool, peer assessment enables students to actively participate in learning and create a student-centered learning environment. Many studies focused on the influence of peer assessment on student learning, however, few studies have explored indicators that teachers can use to identify potential problems regarding students' attitudes towards students' feedback and peer review process. Thus, this is an exploratory study, trying to understand indicators for success and problems regarding students' peer feedback process. We had 93 international students performing three peer-feedback assignments (each assignment of around 2000 words and each review of at least 250 words) on the topics of digital transformation, design thinking, and leadership in an Innovation and Entrepreneurship Basic course. For each of the tasks, students completed questionnaires about their attitudes towards peer assessment in general, providing peer assessment and the usefulness of the received peer assessment. We investigate the correlation between students' performance, students' assignment lengths, and students' reviews lengths and attitude questionnaire items and we present the correlations we observed. These correlations can serve as first indicators to teachers to detect potential problems with peer assessment and get insights into student's perceptions of the peer assessment process.

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Section: General Impressions and Learnings From The Coursementioning

confidence: 80%

An Exploratory Study into Graduate Students’ Attitudes Towards Peer Assessment

Chen

Pisoni

Gijlers

2021

Educating Engineers for Future Industrial Revolutions

Self Cite

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“…Some research indicates that persons are born with potential abilities but go through a slow process of development (Dweck [31]); the greater consensus is that the entrepreneurial mindset can be learned, which supports the importance of training and education programs that are both widespread and extensive and focused on the development of students' entrepreneurial propensities [32][33][34][35]. There is a global trend of recognizing and seeking to provide university students with soft skills [36] as well as the more easily defined and measured "hard" skills, especially within the field of innovation and entrepreneurship [37,38], as well as specifically in China [39]. The complexity of entrepreneurial motives and the combination of traits and circumstances that are likely to result in the practical action required to initiate new venture formation is well established [40].…”

Section: Entrepreneurial Mindsetmentioning

confidence: 99%

The Nexus of Social Cause Interest and Entrepreneurial Mindset: Driving Socioeconomic Sustainability

2021

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The importance of entrepreneurial activity as a driver of sustainable economic growth is well established. Interest in social enterprises as a means to fill gaps that exist in society is growing. With the emerging concept of social entrepreneurship in China, this paper aims to examine the relationship between entrepreneurial mindset, individual intention to start an enterprise, the likelihood of actually starting a business and personal interest in social causes. Theoretical models in the field of entrepreneurship study indicate that personal entrepreneurial desire is a strong factor in predicting future business behaviour but there is little in the existing research about entrepreneurial mindset as a predictor of actual activity. Considering entrepreneurship and psychological research and theory, four main psychological entrepreneur traits including chance alertness, risk tendency, tolerance of vagueness and intentional optimism are considered to measure the aptitude towards starting a business. Based on the results of 590 online surveys, the role of entrepreneurial mindset as a predictor is analysed using Correlation, Linear Regression and Multiple Regression Analysis. The findings of this research indicate that social cause interest is unlikely to drive entrepreneurial activity in the absence of structured intervention. The findings contribute to the future development of social entrepreneurial programs, and to the role and assessment of the entrepreneurial mindset of potential social entrepreneurs. The study also provides insight into the perspective of the individual towards the concept of social responsibility.

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“…In the context of mass innovation and entrepreneurship (I&E) in China, the country has vigorously promoted I&E education for college students and listed it as a key education plan for colleges and universities in China. At present, higher educational schools have actively carried out related educational reform programs and taken them as the primary task of their teaching management works [1][2][3][4]. Contemporary college students are the main force of I&E in Chinese society, and a comprehensive evaluation system of college students' I&E thinking ability will play a positive guiding and encouraging role in their I&E activities [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Model for the Innovation and Entrepreneurship Thinking Ability of College Students Based on Neural Network

Zhang

Li-min

2021

Int. J. Emerg. Technol. Learn.

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Mass innovation and entrepreneurship (I&E) is a national campaign in China. In this context, it is important to encourage college students to engage in I&E activities, and this calls for accurate and comprehensive evaluation of their I&E thinking ability. Therefore, this paper proposes an evaluation model for the I&E thinking ability of college students based on neural network (NN). Firstly, a reasonable evaluation index system was created for the I&E thinking ability of college students, and the evaluation indices were preprocessed through fuzzy analytic hierarchy process (AHP). Then, a fuzzy neural network (FNN) was constructed based on GA rule optimization and the specific steps of the algorithm were given. Moreover, a few representative rules were selected by GA based on uncertain fuzzy knowledge rules, a 4-layer NN model with fuzzy inputs and outputs was established, and the evaluation flow of the I&E thinking ability of college students was proposed. Finally, the effectiveness of the proposed model was verified through experiments. The research results of this paper provide a reference for the application of NN in the field of ability evaluation.

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Investigating Soft Skills Development through Peer Reviews Assessments in an Entrepreneurship Course

Cited by 10 publications

References 15 publications

An Exploratory Study into Graduate Students’ Attitudes Towards Peer Assessment

An Exploratory Study into Graduate Students’ Attitudes Towards Peer Assessment

The Nexus of Social Cause Interest and Entrepreneurial Mindset: Driving Socioeconomic Sustainability

An Evaluation Model for the Innovation and Entrepreneurship Thinking Ability of College Students Based on Neural Network

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