Doing pedagogical research in engineering

This is a book

DEVELOPMENT AND EVALUATION OF A MODEL TO ASSESS ENGINEERING ETHICAL REASONING AND DECISION MAKING

Several ethical decision making models have been developed over the last twenty years. Past research has attempted to evaluate these models by assessing numerous factors potentially linked to the decision process involving ethical issues. Past research studying ethical decision making in organizations has focused on the business perspective and on individual decision making. Little empirical research has focused on teams' ethical decision making in engineering and none (to the author's knowledge) have studied the process of ethical decision making by engineers. For this research two primary models have been adopted: Jones's Synthesis of Ethical Decision Making model and the Harris, Pritchard, and Rabins (HPR) Model widely used in engineering. These models were combined along with factors cited in the literature to form a proposed Ethical Decision Making in Engineering Model. Using this model an experimental study involving both individuals and teams of engineering students solving two ethical dilemmas of different moral intensity was used to: (1) investigate whether engineering student teams make "better" decisions than individual engineering students, (2) evaluate the processes used by the individuals and teams to resolve the dilemmas, (3) and assess variables that potentially affect the quality of the resolution and the quality of the decision process.From this research, the analysis of the team decision making process and its outcomes has enabled the researcher to identify key factors that play a role in engineering ethical decision making, as well as identify potential improvement areas for engineering ethics education. In general, students who have had an engineering ethics course perform better (in teams or as individuals) than students who did not have engineering ethics course for an engineering dilemma with moderate moral intensity; and teams outperformed individuals on the Resolution attribute and spent more time on Analysis and Recognition of Dilemma attributes. Further, the derived regression analysis models showed that having had an engineering ethics course, working in teams, work experience, being female, the type of engineering major, and the dilemma's moral intensity are significant predictors of the overall Resolution as measured by the report quality

Strategies for teaching professional ethics to IT engineering degree students and evaluating the result

Abstract This paper presents an experience in developing professional ethics by an approach that integrates knowledge, teaching methodologies and assessment coherently. It has been implemented for students in both the Software Engineering and Computer Engineering degree programs of the Technical University of Madrid, in which professional ethics is studied as a part of a required course. Our contribution of this paper is a model for formative assessment that clarifies the learning goals, enhances the results, simplifies the scoring and can be replicated in other contexts. A quasi-experimental study that involves many of the students of the required course has been developed. To test the effectiveness of the teaching process, the analysis of ethical dilemmas and the use of deontological codes have been integrated, and a scoring rubric has been designed. Currently, this model is also being used to develop skills related to social responsibility and sustainability for undergraduate and postgraduate students of diverse academic context

Comparison of embedded and added motor imagery training in patients after stroke: Results of a randomised controlled pilot trial

Copyright @ 2012 Schuster et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Background: Motor imagery (MI) when combined with physiotherapy can offer functional benefits after stroke. Two MI integration strategies exist: added and embedded MI. Both approaches were compared when learning a complex motor task (MT): ‘Going down, laying on the floor, and getting up again’. Methods: Outpatients after first stroke participated in a single-blinded, randomised controlled trial with MI embedded into physiotherapy (EG1), MI added to physiotherapy (EG2), and a control group (CG). All groups participated in six physiotherapy sessions. Primary study outcome was time (sec) to perform the motor task at pre and post-intervention. Secondary outcomes: level of help needed, stages of MT-completion, independence, balance, fear of falling (FOF), MI ability. Data were collected four times: twice during one week baseline phase (BL, T0), following the two week intervention (T1), after a two week follow-up (FU). Analysis of variance was performed. Results: Thirty nine outpatients were included (12 females, age: 63.4 ± 10 years; time since stroke: 3.5 ± 2 years; 29 with an ischemic event). All were able to complete the motor task using the standardised 7-step procedure and reduced FOF at T0, T1, and FU. Times to perform the MT at baseline were 44.2 ± 22s, 64.6 ± 50s, and 118.3 ± 93s for EG1 (N = 13), EG2 (N = 12), and CG (N = 14). All groups showed significant improvement in time to complete the MT (p < 0.001) and degree of help needed to perform the task: minimal assistance to supervision (CG) and independent performance (EG1+2). No between group differences were found. Only EG1 demonstrated changes in MI ability over time with the visual indicator increasing from T0 to T1 and decreasing from T1 to FU. The kinaesthetic indicator increased from T1 to FU. Patients indicated to value the MI training and continued using MI for other difficult-to-perform tasks. Conclusions: Embedded or added MI training combined with physiotherapy seem to be feasible and benefi-cial to learn the MT with emphasis on getting up independently. Based on their baseline level CG had the highest potential to improve outcomes. A patient study with 35 patients per group could give a conclusive answer of a superior MI integration strategy.The research project was partially funded by the Gottfried und Julia Bangerter-Rhyner Foundation

A Multi‑level Review of Engineering Ethics Education: Towards a Socio‑technical Orientation of Engineering Education for Ethics

This paper aims to review the empirical and theoretical research on engineering ethics education, by focusing on the challenges reported in the literature. The analysis is conducted at four levels of the engineering education system. First, the individual level is dedicated to findings about teaching practices reported by instructors. Second, the institutional level brings together findings about the implementation and presence of ethics within engineering programmes. Third, the level of policy situates findings about engineering ethics education in the context of accreditation. Finally, there is the level of the culture of engineering education. The multi-level analysis allows us to address some of the limitations of higher education research which tends to focus on individual actors such as instructors or remains focused on the levels of policy and practice without examining the deeper levels of paradigm and purpose guiding them. Our approach links some of the challenges of engineering ethics education with wider debates about its guiding paradigms. The main contribution of the paper is to situate the analysis of the theoretical and empirical findings reported in the literature on engineering ethics education in the context of broader discussions about the purpose of engineering education and the aims of reform programmes. We conclude by putting forward a series of recommendations for a sociotechnical oriented reform of engineering education for ethics

Mental health and psychological well-being of Kenyan adolescents from Nairobi and the Coast regions in the context of COVID-19

Background Despite the high burden of mental health problems during adolescence and its associated nega- tive consequences, it has remained neglected especially in sub-Saharan Africa. The 2019 novel Coronavirus disease (COVID-19) pandemic has placed additional stress on adolescent mental health. However, there are few studies docu- menting the burden of mental health problems and even fewer mental health services in the region. In relation to the limited body of knowledge, the present study aims to determine the psychological well-being of adolescents and to assess the risks and associated factors of mental health problems among adolescents in the context of COVID-19 pandemic in Kenya. Methods We conducted a cross-sectional survey in 2022 among adolescents aged 13–19 years living in Nairobi, and the Coast region of Kenya. We utilized standardized psychological assessment tools including the Patient Health Questionnaire, Generalized Anxiety Scale, Strengths and Difficulties Questionnaire, The World Health Organization- Five Well-Being Index Scale, and the Pandemic Anxiety Scale, to evaluate the psychological wellbeing of the adoles- cents. A linear regression model was used to evaluate the correlates associated with quality of life, pandemic anxiety, and emotional and behavioural problems among adolescents. Subsequently, a logistic regression model was used to assess factors associated with depression and general anxiety disorders. Variables with a p-value \u3c 0.25 in the univari- ate model were included in the multivariable regression model. Results The results are based on 797 participants who met the inclusion criteria. We found the prevalence of depression to be relatively higher among out-of-school adolescents at 36.0% compared to school-going adolescents at 20.6%. Furthermore, out-of-school adolescents had significantly higher anxiety scores when compared to their school-going counterparts (27.7% vs 19.1%) respectively. In-school adolescents had a better quality of life scores, lower pandemic anxiety scores, and lower emotional and behavioral problems scores compared to their out-of-school counterparts. Key risk factors associated with depression include; being out-of-school (OR = 1.96 (95% CI 1.33- 2.88) p-value = 0.001), loneliness (OR = 10.68 (95% CI 4.49–22.86) p-value \u3c 0.001), and living in an unsafe neighborhood (OR = 2.24 (95% CI 1.52–3.29) p-value \u3c 0.001). An older age (OR = 1.16 (95% CI 1.03–1.30) p-value = 0.015), being out-of-school (OR = 1.81 (95% CI 1.19–2.77) p-value = 0.006), and living in an unsafe neighborhood (OR = 2.01 (95% CI 1.33–3.04) p-value = 0.001 were key factors associated with anxiety. Furthermore, key factors positively correlated with quality of life include; high socioeconomic status (ß (Std.Err) = 0.58 (0.14) p-value \u3c 0.001, talking to friends often (ß (Std.Err) = 2.32 (0.53) p-value \u3c 0.001, and being close to parents (ß (Std.Err) = 1.37 (0.62) = 0.026. Conclusion Our findings imply that mental health support services targeting adolescents in the country should be prioritized, especially for those who are out-of-school

Learning Strategies of Secondary School Technology Education Teachers and Their Students

The United States has long been known as a nation of innovators and doers, supported by an educational system based on these concepts; however, our school systems have had problems producing students prepared to retain the United States as a global leader. Technology Education is an exception. Technology Education provides the opportunity to apply knowledge, theory, and concepts to real-world applications through the use of activities that encourage innovation and creativity. This study used a quantitative causal comparative design to investigate the learning strategies of secondary school Technology Education teachers and their students, distribution of learning strategies in the Technology Education courses, and the differences in learning strategies across the International Technology and Engineering Educators Association (ITEEA) program areas. Technology Education teachers and students in selected programs across Virginia took the Assessing the Learning Strategies of Adults (ATLAS) instrument, which placed them in a learning strategy category of navigator, problem solver, or engager, and completed a short demographic survey about gender, Technology Education program, grade, and age. A Chi Square Test of Independence was used to see if there were significant differences in the learning strategies of Technology Education teachers and their students, and also if there was a significant difference in learning strategies among the ITEEA program areas. It is hoped that this study will provide insight into the learning strategies in Technology Education so that programs and curriculum can be developed that improve the overall effectiveness of the instructional process

A FOCUS ON CONTENT: THE USE OF RUBRICS IN PEER REVIEW TO GUIDE STUDENTS AND INSTRUCTORS

Students who are solving open-ended problems would benefit from formative assessment, i.e., from receiving helpful feedback and from having an instructor who is informed about their level of performance. Open-ended problems challenge existing assessment techniques. For example, such problems may have reasonable alternative solutions, or conflicting objectives. Analyses of open-ended problems are often presented as free-form text since they require arguments and justifications for one solution over others, and students may differ in how they frame the problems according to their knowledge, beliefs and attitudes.This dissertation investigates how peer review may be used for formative assessment. Computer-Supported Peer Review in Education, a technology whose use is growing, has been shown to provide accurate summative assessment of student work, and peer feedback can indeed be helpful to students. A peer review process depends on the rubric that students use to assess and give feedback to each other. However, it is unclear how a rubric should be structured to produce feedback that is helpful to the student and at the same time to yield information that could be summarized for the instructor.The dissertation reports a study in which students wrote individual analyses of an open-ended legal problem, and then exchanged feedback using Comrade, a web application for peer review. The study compared two conditions: some students used a rubric that was relevant to legal argument in general (the domain-relevant rubric), while others used a rubric that addressed the conceptual issues embedded in the open-ended problem (the problem-specific rubric).While both rubric types yield peer ratings of student work that approximate the instructor's scores, feedback elicited by the domain-relevant rubric was redundant across its dimensions. On the contrary, peer ratings elicited by the problem-specific rubric distinguished among its dimensions. Hierarchical Bayesian models showed that ratings from both rubrics can be fit by pooling information across students, but only problem-specific ratings are fit better given information about distinct rubric dimensions