Providing a sufficient level of personalized feedback on students' current level of strategic knowledge within the context of the natural programming environment through IDE-based learning analytics would transform learning outcomes for introductory programming students. However, providing sufficient insight into the programming process was previously inaccessible due to the need for more complex and scalable data collection methods and metrics with a wider variety for understanding programming metacognition and the full programming process. This research developed a custom-built web-based IDE and event compression system to investigate two of the five components of a five-dimensional model of cognition for programming skill estimation (1) Design Cohesion and (2) Development Path over Time. The IDE captured students' programming process data for 25 participants, where each participated in two programming sessions that required both a design and code phase. For Design Cohesion, the alignment between flowchart design and source code implementation was investigated and manually classified. The classification process produced three Design Cohesion metrics: Design Cohesion Level, Granularity Level, and Granularity Score. The relationship between programming skill and Design Cohesion was explored using the newly developed metrics and a case-study approach. For the Development Path over Time, the compressed programming events were used to create a Timeline of Events for each participant, which was manually examined for distinct clusters of programming patterns and behavior such as execution behavior and debugging patterns. Custom visualizations were developed to display the timelines. Then, the timelines were used to compare programming behaviors for participants with different programming skill levels. The results of the investigation into Design Cohesion and Development Path Over Time contribute to the fundamental understanding of differences between beginner, intermediate, and advanced programmers and the context in which specific programming difficulties arise. This work produced insight into students' programming processes that can be used to advance the model of cognition for programming skill estimation and provide personalized feedback to support the development of programming skills and expertise. Additionally, this research produced tools and metrics that can be used in future studies examining programming metacognition.

Fehlende Kompetenzen in Mathematik und Naturwissenschaften werden von Studierenden als ein Grund für den Studienabbruch in Ingenieurwissenschaften angegeben (Heublein et al., 2017). Welche Kompetenzen für Studierende zu Beginn des Ingenieurstudiums relevant sind, ist jedoch bisher wenig empirisch untersucht. Das Ziel der vorliegenden Studie ist, relevante mathematische Kompetenzen von Ingenieurstudierenden zu analysieren und dabei sowohl Wissensbestände als auch die Anwendung von Wissen und die Zusammenhänge zwischen beiden Bereichen zu berücksichtigen. Dazu wurde eine Studie im Mixed-Methods Design entwickelt. In dieser werden die Studierenden hinsichtlich ihrer Dispositionen in Mathematik und Physik zu Beginn des Studiums und am Ende des ersten Studienjahres mit quantitativen Methoden getestet. Zu diesen beiden und einem weiteren Zeitpunkt am Ende des ersten Semesters wurden zudem die situationsspezifischen Fähigkeiten bei der Bearbeitung von Mathematik- und Physikaufgaben mit Hilfe eines theoretischen Rahmens zum mathematischen Problemlösen mit qualitativen Methoden untersucht. Dieser Theorierahmen umfasste für die Mathematikaufgaben die Aspekte Heurismen (Bruder & Collet, 2011; Schoenfeld, 1980) und Problemlösephasen (Polya, 1957) sowie das Modell der Epistemic Games (Tuminaro, 2004) zur Analyse der Bearbeitung von Physikaufgaben. Die Ergebnisse zeigen Zusammenhänge zwischen mathematischen und physikali-schen Dispositionen. Zusätzlich wird die Bedeutung von Aspekten des Problemlösens deutlich, um die Prozesse bei den Bearbeitungen von Mathematik und Physikaufgaben im ersten Studienjahr zu analysieren. Auf Grundlage der qualitativen Beschreibungen konnten Cluster von Fällen von Studierenden gebildet werden. Mit Hilfe dieser Cluster zeigen sich Zusammenhänge zwischen den Dispositionen und situationsspezifischen Fähigkeiten bei den besonders leistungsstarken und leistungsschwachen Studierenden. / Missing competences in mathematics and sciences are cited by students as a reason for the drop-out in engineering sciences (Heublein et al., 2017). However, the competences that are relevant for students at the beginning of their engineering studies have so far not been investigated in an empirical way. The aim of this study is to analyse relevant mathematical competences of engineering students, taking into account both knowledge and the application of knowledge and the interrelationships between the two. A study in mixed method design was developed for this purpose. In this study, students are tested with regard to their dispositions in mathematics and physics at the beginning of their studies and at the end of the first year of their studies using quantitative methods. At these two points in time and a further time at the end of the first semester, the situation-specific skills in processing math and physics tasks were examined with the help of a theoretical framework for solving mathematical problems, using qualitative methods. This theoretical framework included for the mathematical tasks the aspects heuristics (Bruder & Collet, 2011; Schoenfeld, 1980) and problem solving phases (Polya, 1957) as well as the model of Epistemic Games (Tuminaro, 2004) for the analysis of the processing of physical tasks. The results show interrelationships between mathematical and physical dispositions. In addition, it became clear that there is a need of problem solving aspects in order to analyse the processes involved in the working on maths and physics tasks in the first year of studies. Based on the qualitative descriptions, clusters of student cases could be formed. These clusters show the interrelationships between dispositions and situation-specific skills of particularly high-performing and underperforming students.

<p>Professional engineers think and act in distinctive ways when addressing engineering problems. Students need to develop this reasoning or engineering thinking during their education. Unfolding the undergraduate students’ thinking is a necessary step in designing experiences and teaching materials that foster not only their understanding of engineering concepts but also their learning to think as professional engineers. While there are previous studies about the students' thinking in other disciplines, more research is needed in engineering. This three-study dissertation aims to further our comprehension of undergraduate students’ engineering thinking using an adapted version of the Engineering Habits of Mind (EHoM) model. Specifically, the dissertation’s studies work together to continue the research that addresses the question:<em> What are the characteristics of undergraduate students</em>’ <em>engineering thinking?</em></p> <p><br></p> <p>The first study used naturalistic inquiry to holistically explore the cognition associated with the EHoM of senior chemical engineering students when improving a chemical plant. The analysis of students’ interactions showed that their redesign process followed an iterative co-evolution of the problem and solution spaces. Furthermore, they treated the task as a socio-technical problem considering engineering and non-engineering factors. In addition, while exploring problem and solution entities, they used multiple representations to communicate ideas but had difficulties translating symbolic representations into more physical, concrete representations. Regardless the technical issues and time constraints, the students completed the conceptual redesign and communicated their proposal to the client.</p> <p><br></p> <p>The second study used qualitative content analysis to examine first-year engineering students’ ideation as a cognitive skill associated with the EHoM of problem finding and creative problem solving. Particularly, it focused on students’ ideation of questions and recommendations when doing data analytics to help improve a client’s enterprise. The analysis of students’ reports showed that they expanded the problem space of the task by bringing additional information that was not provided. They asked questions focused on performing statistical analysis of the dataset and requesting information about the company’s business model. At the end of their data analytics, students made high- and low-quality recommendations considering their alignment with a specific problem, robust evidence, and the client’s needs. </p> <p><br></p> <p>The third study used qualitative descriptive research to investigate undergraduate participants' cognitive competencies within engineering systems thinking at the International Genetically Engineered Machine (iGEM) competition. These competencies are associated with the EHoM of problem finding, creative problem solving, systems thinking, and visualization. Mainly, the study focused on analyzing the evidence of cognitive competencies documented in the publicly available participants’ wikis where they registered their design process. Results showed that iGEM teams developed solutions with biological systems interacting with other systems and used concepts and tools from multiple disciplines. They also cooperated with stakeholders, which helped them analyze their system from multiple lenses. Moreover, depending on their upfront task, they fluidly represented their systems from structural, behavioral, and functional perspectives. </p> <p><br></p> <p>The final chapter of this dissertation presents an overarching discussion across the studies. The findings and implications will support curriculum designers, instructors, and other interested readers to prepare learning environments that promote undergraduate students’ engineering thinking. Furthermore, they may guide future efforts to continue exploring the students' thinking process when addressing engineering problems. </p>

<p dir="ltr">Engineering Technology (ET) programs are pivotal in preparing graduates for the demands of the modern workforce, particularly in quality management systems (QMS). This study examines the alignment between QMS knowledge and experience gained by graduates in ABET-accredited ET programs and the expectations of industry. Through a dual-survey approach, targeting both industry leaders and academic educators, the research elucidates current QMS practices in industry, the scope of QMS education, and the resulting preparedness of graduates for professional roles. Findings indicate a discernible gap between industry expectations and current academic offerings in QMS education. While industry professionals rely on established QMS frameworks such as ISO 9001 and Lean Six Sigma, academic programs often limit their coverage to theoretical underpinnings rather than hands-on, practical applications. This discrepancy highlights the need for a more robust, application-oriented curriculum that bridges theoretical knowledge with real-world practice. Recommendations include a call for greater integration of practical QMS training within academic programs and stronger partnerships between academia and industry to foster educational content that aligns with professional QMS applications.</p>

This study was carried out to investigate the effect of introducing animated computer instructional aid (ACIA) in the learning of fluid mechanics. It was also intended as a means to evaluate the Constructionist Computer-Animated Instructional Model of Learning (CCAIML), which was developed and proposed for learning fluid mechanics. CCAIML includes the use of ACIA as a learning aid. Three theories underpins CCAIML learning model: the Constructionist learning theory, Media-Affects-learning hypothesis and Multiple representation principle. The study participants were the intact classes of first-time fluid mechanics’ students in Mechanical Engineering in four South African universities, who offer Bachelor of Engineering degrees in Mechanical Engineering. The study followed a mixed method approach: involving a static group design and a descriptive survey design. The control groups were the two consecutive, immediately preceding intact groups, who were taught fluid mechanics through the traditional lecturing method. The intervention groups were the non-randomized mechanical engineering students, who were taught by the same lecturer, who taught the control groups the same course material through a traditional approach, but taught the intervention group using the CCAIML learning approach. The findings of the study showed that: - ACIA facilitated the learning of the fluid mechanics module taught during the intervention, in CCAIML learning environment; - ACIA aroused the study participants’ interest in the learning of fluid mechanics module taught during the intervention; - The study participants understood the fluid mechanics module taught during the intervention better, in CCAIML learning environment, and were able to demonstrate this in the post intervention examination; - CCAIML learning approach encouraged classroom interaction, group and individual knowledge construction, practical demonstration of understanding of concepts and consequently improved classroom dynamics; - The majority of the study participants achieved higher scores in the fluid module taught during the intervention at the post intervention examination, by using CCAIML learning approach compared to the traditional approach; - No relationship was established between the level of study participants’ interest in the software used to aid learning ACIA and the study participants’ post-intervention achievement; and - Where the language medium of the instructional aid was different to that of the classroom medium of instruction, the learners’ achievement was affected. / Mathematical Sciences / Ph.D. (Mathematics, Science and Technology Education)

Thesis (PhD (Curriculum Studies))-- University of Stellenbosch, 2009 / ENGLISH ABSTRACT: The aim of this study was to develop a curriculum framework for engineering introduction programmes offered at a higher education institution, using a case study design. The South African government is attempting to redress the social inequalities which prevailed in the education sector during the apartheid era. One of their efforts has involved the widening of access to diverse groups in society in order to increase participation within the higher education sector. However, many students attempting their higher education studies are academically under prepared. This is mainly due to insufficient life skills, communication skills, numeric skills and literacy skills. The lack of these skills has inspired various international and national higher education institutions to develop academic programmes aimed at bridging the gap that exists between secondary schooling and higher education. Introduction programmes for prospective engineering students have to ensure high-quality curriculum development procedures in order to secure these students’ academic success throughout their engineering studies. This, in turn, leads to quality graduates and addresses the huge shortage experienced by the industry. An overview of the contextual and conceptual views on curriculum development is given against the backdrop of the current higher education legislation in South Africa. The overview regarding curriculum development links the introduction programme curriculum to generic learning outcomes specifically set at the National Qualification Framework Level 4. It suggests the application of continuous assessments, in line with outcomes-based education criteria, together with quality assurance in order to fit the Higher Education Quality Committee and the Engineering Council of South Africa’s accreditation criteria applicable to higher education institutions. During the design and methodological stages, it was established, by means of a theoretical investigation, that the first phase of this study determines whether students that successfully completed the introduction programme perform academically better than students entering the diploma programmes directly. The theoretical investigation also established that the second phase of this study determines if the diploma students dropped out of the programme for reasons other than academic performance. A triangulation approach was used to increase the validity of the empirical part of the study and to enhance the rigorous use of both quantitative and qualitative data. The study results shed light on the need for introduction programmes. In addition, it proposed a curriculum framework for improved engineering introduction programmes at the Vaal University of Technology. / AFRIKAANSE OPSOMMING: Die doel van hierdie studie was om kurrikulumraamwerk vir oorbruggingsprogram vir ingenieurswese-studente in hoër onderwys te ontwikkel. Die kurrikulumraamwerk is ontwikkel deur middel van gevallestudie wat die implementering van oorbruggingskursusse in die ingenieurswese indringend ondersoek het. Die huidige Suid-Afrikaanse regering poog om die sosio-politieke wanbalanse as nalatenskap van apartheid, uit te wis. Dit word gedoen deur middel van inisiatiewe waarin onder meer hoër onderwys prominente vennoot is wat aan diverse samelewing gelyke geleenthede bied. Die huidige, meer toeganklike bedeling in hoër onderwys in Suid-Afrika het groot toename van studente uit histories agtergeblewe gemeenskappe tot gevolg gehad. Die meeste studente wat in hierdie konteks die hoëronderwyssektor betree, blyk in groot mate onvoorbereid te wees vir hoër onderwys vanweë hul gebrek aan lewens-, kommunikasie-, numeriese en taalvaardighede. Hierdie tendens kom ook op internasionale vlak voor. Dit het inisiatiewe ten opsigte van akademiese ontwikkeling op nasionale sowel as internasionale vlak genoodsaak. Die doel van akademiese ontwikkeling is primêr om die gaping tussen die skool en hoër onderwys te oorbrug. Oorbruggingskursusse moet van hoë gehalte wees om sodoende te kan verseker dat voornemende studente vir hoër onderwys, en vir die doel van hierdie studie meer spesifiek ingenieurstudente, van groter akademiese sukses verseker kan wees. Die suksesvolle implementering van oorbruggingskursusse vir ingenieurswese-studente behoort in groot mate tot beter gehalte gegradueerde te lei en bydrae te lewer tot die vraag na ingenieurswese-studente vir die nywerheidswêreld. Kontekstuele en konsepsuele beskouings ten opsigte van kurrikulumontwikkeling in die hoër onderwys in Suid-Afrika word deur generiese leeruitkomste bepaal. Hierdie uitkomste is op vlak 4 van die land se Nasionale Kwalifikasieraamwerk vasgepen. Dit het ook tot gevolg dat alle programme volgens amptelike Departement van Onderwys-dokumente aan deurlopende assessering onderwerp moet word, dat die gehalte van die kursus onderworpe is aan die gehalteversekeringskriteria van die vi Hoëronderwys se Gehaltekomitee (‘HEQC’) en dat dit moet voldoen aan die vereistes van die Ingenieursraad van Suid-Afrika. Teoretiese raamwerk is tydens die ontwerp- en metodiekstadium van die studie daargestel. Die doel van hierdie eerste fase van die studie was om te bepaal of diplomastudente wat die oorbruggingskursusse suksesvol voltooi het, akademies beter gepresteer het as daardie studente wat nie die oorbruggingskursus gevolg het nie. Die tweede studiefase het bepaal of die diplomastudente hul studies vir redes gestaak het wat moontlik nie met akademiese sukses verband hou nie. Die navorsing het van triangulasie gebruik gemaak, ten einde die doeltreffende gebruik van sowel kwantitatiewe as kwalitatiewe data te verhoog. Die resultate van die studie werp lig op en onderstreep die behoefte aan oorbruggingskursusse. Die navorsing beveel kurrikulumraamwerk aan vir die ontwerp van verbeterde oorbruggingskursusse in die ingenieurswese aan die Vaal Universiteit van Tegnologie.

The desire to produce a learning environment which promotes student motivation, collaboration, and higher order thinking is common within the higher education system of today. Such learning environments also have the ability to address challenges’ Mechanical Engineering Technology (MET) students face entering the workforce. Through the vertical and horizontal integration of courses, this research presents how a scaffolded learning environment with a centralized theme of energy can increase motivation and conceptual retention within students. The integration of courses allows students to systematically translate their competency of concepts between energy based courses through experiential learning. The goal of this work is to develop a competency based learning model where students earn a professionally recognizable credential. The credential is earned through demonstrating their mastery of industry desired skills at a level that goes above and beyond the stock curriculum. The result is a more continuous curriculum that enhances multi-disciplinary problem solving while better preparing MET students for the workforce.

Este trabalho versa sobre a tecnologia, atendo-se de modo particular, mas não exclusivo, a isso que no Brasil se chama de tecnologia social (TS). A tese que se buscará defender aqui é múltipla. Em primeiro lugar, ontológica e politicamente, sustentar-se-á que a tecnologia social é uma implementação não apenas tecnicamente legítima e autêntica, como social e ambientalmente urgente. Contudo, para que tal tipo de solução seja passível de ser desenvolvida, é necessário, de uma parte, que se desenvolvam conhecimentos científicos e engenheiris apropriados. Com isso, o segundo argumento, epistemológico, é que esses conhecimentos são passíveis de ser produzidos e que os mecanismos que podem tornar tal coisa possível não subvertem o ethos próprio da ciência ou da engenharia. De outra parte, TS e engenharia popular demandam também um perfil profissional específico, o do engenheiro educador (ou engenheiro popular). Essa é a terceira dimensão da tese que defendemos. Por fim, ontológica e existencialmente, proporemos que o caminho para superar o desencantamento substantivo do mundo (Weber), a entificação do Ser (em seu desvelamento tecnológico no qual nos encontramos presos, via enquadramento Heidegger), a ditadura da racionalidade instrumental (Horkheimer & Adorno) ou a autoprodução e o automatismo do desenvolvimento tecnológico (que nos aprisiona ou agencia quase que inapelavelmente Ellul) pode emergir precisamente de algo como a tecnologia social, por meio da incorporação dos valores e saberes populares à construção da realidade sociotécnica que decidimos nos dar. Esse quarto aspecto, nesses termos, reforça o primeiro, trazendo novos elementos para subsidiar-se o entendimento acerca da urgência, em nossos dias, de uma solução técnica como a tecnologia social. / This work discusses technology, giving special attention to this that is called social technology (ST) in Brazil. The thesis that is substantiated here is multiple. First, ontologically and politically, it will be argued that social technology is not only technically legitimate and authentic, but also socially and environmentally urgent. However, in order to be implementable, ST demands, on the one hand, specific engineering and scientific knowledge to be advanced. Thus, the second dimension of our thesis, epistemological, sustains the understanding that such knowledge can be produced and the mechanisms required to make such production possible do not corrupt the scientific or engineering ethos. On the other hand, ST and popular engineering also demand a specific professional profile, the educator engineer (or popular engineer). This is the third dimension of the argument we defend here. Finally, ontologically and existentially, it will be suggested that a way to overcome the substantial disenchantment of the world (Weber), the entification of Being (in its technological unveiling in which we found ourselves trapped, via enframing Heidegger), the dictatorship of instrumental rationality (Horkheimer and Adorno) or the self-production and automatism of technological development (Ellul) may precisely emerge from something like social technology. This would be so by dint of the incorporation of popular values and knowledge to the construction of the sociotechnical reality we decide to build. This fourth aspect, then, strengthens the first one, offering new supporting elements to the urgency claim associated with the development of ST in our days.

A problematização é uma forma de explicitar, de propor as contradições presentes na realidade, e na Sociedade do Conhecimento que prima por habilidades e raciocínio crítico, ela é cada vez mais reforçada, pois trabalha questões complexas associadas aos problemas da realidade. Há pesquisas que apontam com diversas nomenclaturas a forma de conceber e adotar estratégias problematizadoras nos processos educacionais, contudo, poucas pesquisas voltadas para o ensino de Engenharia de Produção apresentam diretrizes aos professores a fim de que, baseando-se nelas, possam elaborar suas propostas pedagógicas possibilitando uma aprendizagem significativa e pensamento crítico. Nesse sentido, o objetivo desta pesquisa é apresentar um modelo de aprendizagem problematizadora, num contexto de aprendizagem presencial e virtual, oportunizando aprendizagem significativa, bem como avaliar o desenvolvimento do pensamento crítico dos alunos. O modelo tem por base uma revisão bibliográfica das teorias, conceitos e práticas da Metodologia da Problematização e do Ciclo de Aprendizagem Experiencial, e para sua aplicação segue com uma pesquisa-ação com alunos de uma disciplina do programa de pós-graduação em Engenharia da Produção de uma universidade pública do interior de São Paulo. Os indicadores de pensamento crítico identificados na literatura, e adaptados para a pesquisa, foram analisados mediante a realização de diversas atividades, trabalhos e discussões dos alunos propostos conforme o modelo de aprendizagem problematizadora. Os resultados revelam que problematizar situações conhecidas ou extraídas da realidade social dos alunos para a compreensão dos conteúdos acadêmicos transforma a aprendizagem em momento significativo, no qual o aluno passa a ser agente ativo no processo de construção do conhecimento e, por consequência, desenvolve em índices expressivamente positivos de pensamento crítico. / The problematization is a way of explicit, proposing the contradictions present in reality, and in the Knowledge Society that values for skills and critical thinking, it is increasingly enhanced, because it works complex issues associated with reality problems. There are research that pointing with various nomenclatures how to conceive and adopt problematizing strategies in the educational processes, however, few research in the area of Production Engineering instruction presents guidelines for teachers, based on them, can develop their pedagogical proposals allowing a significant learning and critical thinking. Accordingly, the objective of this research is to present a model of problematizing learning, in a context of presence and virtual learning, providing opportunities for significative learning, as well as evaluating the development of critical thinking of learners. The model is based on a bibliographic review of theories, concepts and practices of the Problematization Methodology and Experiential Learning Cycle, and its application follows with an action-research with students from a discipline of the graduate program in Production Engineering in a public university in the state of São Paulo. Indicators of critical thinking identified in the literature and adapted to the research, were analyzed by carrying out various activities, assignment and discussions of the proposed learners as the model of problematizing learning. The results show that problematizing known situations or extracted from the social reality of the students to understand the academic content turns learning into a meaningful moment in which the student becomes an active agent in the process of knowledge construction and, therefore, develops in indexes significantly positive of critical thinking.

<div>Although design is part of everyday experience, increased proficiency in managing and reflecting while designing signify greater proficiency as a designer. This capacity for regulation in design is crucial for learning, including from failure experiences, while designing. Failure and iteration are integral parts of design, with potential cognitive and psychological ramifications. On the one hand, failure can be framed as a learning experience that interrupts thinking and evokes reflection. On the other hand, it can be detrimental for confidence and motivation or derail the design process. Based on similarities between design and self-regulation, I articulate a framework whereby responses to failure might be regulated by beginning designers. Then, this case study applies the framework to describe the experiences and perspectives of beginning designers as they work and fail, illuminating issues of failure in design and the extent of their self-regulation.</div><div><br></div><div>The in situ design processes of four teams was examined to describe self-regulation strategies among student designers. Analysis was conducted with two methods: linkography and typological thematic analysis. Linkography, based on think-aloud data, provided a visual representation of the design process and tools to identify reflection, planning, and critical moments in the design process. Typological analysis, based on think-aloud data, follow-up interviews, and design journals, was used to investigate specific strategies of self-regulation. The complementary methods contribute to understanding beginning designers’ self-regulation from multiple perspectives.</div><div><br></div><div>Results portray varied trajectories in design, ranging from repeated failure and determination to fleeting success and satisfaction. Class structures emerge in designers’ patterns of planning and reflection. These highlight the contextualized and evolutionary nature of design and self-regulation. Furthermore, linkographic evidence showed a beginning sense-making process, followed by oscillating phases of forward and backward thinking, to various degrees. Moments of testing, both successes and failure, were critically connected in the design process.</div><div><br></div><div>Thematic analysis identified 10 themes, aligning with the self-regulatory phases of forethought, performance, and reflection. The themes highlight how regulation in forethought is used to shape performance based on past iterations; meanwhile, the identification and attribution of failures relays information on how, and whether to iterate. Collectively, thematic findings reinforce the cyclical nature of design and self-regulation.</div><div><br></div><div>Design and self-regulation are compatible ways of thinking; for designers, the juxtaposition of these concepts may be useful to inform patterns of navigating the problem-solving process. For educators, the imposition of classroom structures in design and self-regulatory thinking draws attention to instructional design and assessment for supporting student thinking. And for researchers of design or self-regulation, these methods can give confidence for further exploration.</div>