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Understanding Engineering Education in Displacement: A Qualitative Study of "Localized Engineering" in Two Refugee CampsClaudio Freitas (8815394) 08 May 2020 (has links)
The duration of exile in refugee communities has grown immensely over the last two decades. Recent humanitarian reports have called for actors to create more coordinated global support for the refugee crises. In these recent calls, the desire to break a cycle of dependency between the refugee community and international aid has been a clear priority. Hence, education has emerged as a strategic action to foster refugee self-reliance, particularly higher education (HE) and technical and vocational education and training (TVET). There are many opportunities to use HE and TVET to benefit the refugee community, including: developing solutions to improve living conditions, enabling new opportunities for learning pathways, allowing refugees to contribute to the economy in hosting countries, or preparing them to rebuild their lives once they return to their home countries. However, the economic, political, and cultural complexities of refugee communities often add layers of challenges to typical formal HE and TVET programs. In addition, the existing literature in refugee education still lacks a coherent analysis of these factors and conditions for adoption of HE and TVET programs, especially for refugees living in camps. <div>To address these gaps, this dissertation presents three studies that investigate an undergraduate introductory engineering course for refugees called Localized Engineering in Displacement (LED). Specifically, I draw on effective learning and policy frameworks to understand how to situate engineering education across HE and TVET and advance LED in refugee camps. The first study presents a case study examining the iterative processes of creation and implementation of the LED course in the Azraq refugee camp in Jordan. As a general outcome of my study, I describe the novel approach to teaching engineering design for learners in the Azraq refugee camp and its applications to other contexts. The second study examines the LED course implemented in the Kakuma refugee camp. The Kakuma refugee camp is situated in Kenya and considered the largest refugee camp in the world, thus providing a different context of refugee camps. I discuss the contextual challenges to transfer, develop, and implement to a new context and present the course outcomes and experiences based on the course participants’ reflections. The third study extends findings from the first and second studies by using a comparative case study to critically examine the development process and challenges of engineering education in refugee camps. Central to my analysis is the connection between the challenges identified in both camps and existing actors involved with refugee education. </div><div>My research uses two case studies to underscore the complexity of the LED course development in the Azraq and Kakuma camps. I seek to foster a debate about the challenges that influence the development of higher engineering education programs in refugee camps and how different actors can collaborate to advance high-quality engineering education initiatives in refugee contexts. Overall, this dissertation clarifies some of the biggest challenges to implement engineering education in refugee settings, how different actors can collaborate to mitigate these challenges, and how these findings expose the misalignment between the international rhetoric and reality on the ground in refugee camps.</div>
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Student Intuitions in Statistical MechanicsKoerfer, Ebba January 2022 (has links)
This exploratory case study aimed to investigate patterns in student reasoning in statistical mechanics, in order to identify difficulties and develop ideas for future research. Upper-division undergraduate students, taking a course in statistical mechanics, were interviewed in groups. Here we present our findings regarding student difficulties in distinguishing microstates and macrostates, as well as distinguishable versus indistinguishable particles. We also present observed patterns of student reasoning about a simple, discrete system in contact with a heat bath. Our findings reveal problematic student intuitions of the high temperature limit. Several students were, however, able to transfer knowledge from a similar problem involving spin to improve their reasoning. / Denna explorativa fallstudie ämnade att undersöka mönster i studenters resonemang i statistisk mekanik, för att identifiera svårigheter och utveckla idéer för framtida forskning. Studenter i sista året på kandidatprogrammet i fysik, som läste en kurs i statistisk mekanik, intervjuades i grupper. Här presenterar vi våra fynd gällande studenters svårigheter med att skilja på mikrotillstånd och makrotillstånd, såväl som urskiljbara och ourskiljbara partiklar. Vi presenterar också observerade mönster i studenters resonemang kring ett simpelt, diskret system i kontakt med en värmereservoar. Våra fynd avslöjar problematiska intuitioner för gränsvärdet vid hög temperatur. Flera studenter kunde dock överföra kunskap från ett liknande problem, som handlade om spin, för att förbättra deras resonemang.
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The use of the internet for students' performance at institutions of higher learningBaloyi, Nhlayisi Cedrick January 2021 (has links)
Thesis (Ph. D. (Media Studies)) -- University of Limpopo, 2021 / This study focuses on the use of the internet for students’ academic performance at institutions of higher learning. Various internet applications including search engines, online library resources and social media are evaluated to explore how best they can be used to enhance students’ performance at institutions of higher learning. This is critical to ensure that students maximise the use of technology specifically for academic purposes.
Generally, students are constant users of the internet at institutions of higher learning, hence it is cardinal to examine their internet use patterns for academic purposes. Institutions of higher learning have invested in advanced technology through the internet to enhance student academic purposes. Therefore, one would expect students to use various internet applications effectively for the betterment of their studies.
In this study, the researcher used both qualitative and quantitative research methodologies. The researcher also employed exploratory and descriptive designs. These methodologies and designs are appropriate for this study because they allow data to be collected through focus group interviews and questionnaires. Focus group interviews were employed to collect qualitative data and questionnaires were used to collect quantitative data. The researcher conducted six focus groups from three institutions of higher learning, namely the University of Limpopo, University of Venda and Tshwane University of Technology, Polokwane campus. Three hundred and forty-three (343) questionnaires were analysed for this study.
These data collection tools were pertinent for this study since they assist to determine factors that influence the attitudes, opinions and behavior of the participants. Online library resources play a cardinal role in enhancing the learning process for students by providing online content which could have been difficult to access without the internet. Social media improve and enhance students’ academic performance, but students do not know how best to use it for academic purposes. Proper integration of social media into education is needed.
In contrast, students prefer to use social media purely for socialising and entertainment. Despite their ability to assist students in enhancing and improving learning process, social media are, mostly not used for academic purposes.
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Additionally, students’ use of internet search engines exposes them to an array of information which require critical online information literacy in order to choose the best information. Lastly, the study contributes to the existing body of knowledge by creating a model which will enhance and assist students to easily access academic information through the use of a mobile application. The study also provides significant information which could be used to amend and draft new ICT policies within institutions of higher learning, taking into consideration the adoption of online learning through the use various technologies including social media. / The National Institute for the Humanities and Social Sciences (NIHSS)
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USING ARTIFICIAL INTELLIGENCE TO PROVIDE DIFFERENTIATED FEEDBACK AND INSTRUCTION IN INTRODUCTORY PHYSICSJeremy M Munsell (12468648) 27 April 2022 (has links)
<p>Cognitive load theory (CLT) lays out a tripartite scheme concerned with how learners cognitively interact with instructional materials during learning and problem solving. Cognitive load refers to the utilization of working memory resources, and CLT designates three types of cognitive load as intrinsic cognitive load, extraneous cognitive load, and germane cognitive load. Intrinsic cognitive load is related to the intrinsic complexity of the material. Extraneous cognitive load is concerned with unnecessary utilization of cognitive resources due to suboptimal instructional design. Germane cognitive load results from processing the intrinsic load and schema acquisition. The expertise reversal effect follows as a consequence of CLT. </p>
<p>The expertise reversal effect (ERE) states that instructional materials that are beneficial to low prior knowledge (LPK) learners may be detrimental to high prior knowledge (HPK) learners. Less guided materials have been shown to reduce extraneous cognitive load for these learners and therefore produce a greater benefit. </p>
<p>In this work we present the development of online instructional modules that deliver content in two distinct styles, differentiated by their use of guiding features. the high level guidance version (HLG) uses guiding features, such as animations and voice narration, which have been shown to benefit LPK learners. Alternatively, guiding features have been shown to be destructive to the learning of HPK students. The low level guidance (LLG) version uses text in place of voice narration and pop-up content in place of continuous animations. Both versions led to a statistically significant improvement from pre-test to post-test. However, both HPK and LPK students showed a preference for the HLG version of the module, contrary to the ERE. Future work will focus on improving the ability to indentify HPK and LPK students, and refining methods for providing optimal instructional materials for these cohorts. </p>
<p>Meanwhile, the use of machine learning is an emerging trend in education. Machine learning has been used in roles such as automatic scoring of essays in scientific argumentation tasks and providing feedback to students in real time. In this work we report our results on two projects using machine learning in education. In one project we used machine learning to predict students’ correctness on a physics problem given an essay outlining their approach to solving the problem. Our overall accuracy in predicting problem correctness given a student’s strategy essay was 80%. We were able to detect students whose approach would lead to an incorrect solution at a rate of 87%. However, deploying this model to provide real-time feedback would necessitate performance improvement. Planned future work on this problem includes hand grading essays to produce a label that reflects the scientific merit of each essay, using more sophisticated models (like Google’s B.E.R.T.), and generalizing to a larger set of problems. </p>
<p>In another study, we used data about students’ prior academic behavior to predict academic risk in a first-year algebra based physics course. Their final course grade was used to define their risk category as; B- and above is designated low risk, and C+ and below is designated as high-risk. Using a mix of numerical and category features such as high school gpa, ACT/SAT scores, gender, and ethnicity we were able to predict student academic risk with 75% overall accuracy. Students with a very high grade (A) or students with a very low grade (D,F,W) were identified at a rate 92% and 88% (respectively).</p>
<p>Prior work has shown that performance can be greatly increased by including in-class features into the model. Future work will focus on obtaining raw data, rather than using curved scores reported to the university registrar. Also, obtaining more batches of data to improve predictive power with existing models developed in this study.<br>
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Researching the educational setting for quality data : the case of an 18-school research project in the Western CapeDion, Roger Eugene January 1995 (has links)
Bibliography: pages 48-50. / Through the analysis of an 18-school research project that was conducted in the Western Cape in 1994, the aim of this report is to emphasize the need for and importance of effectively researching the educational setting in order to obtain quality data. This task will take the form of a general discussion concerning "what information..." should be collected and "how..." it should be "collected, analyzed, and interpreted" from the perspective that it is "critical to remember that decision-makers require information to be provided promptly... in order to make informed policy decisions" (Ross & Postlethwaite, 1992:1-2).
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Community layout prototype : Nakhon Ratchasima, Thailand.Phisuthikul, Chakorn January 1975 (has links)
Thesis (M. Arch. A.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1975. / Also issued by Urban Settlement Design in Developing Countries, M.I.T., 1975. / Bibliography: p. 45. / M.Arch.A.S.
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Grit and beliefs about intelligence: the relationship and role these factors play in the self-regulatory processes involved in medical students learning gross anatomyFillmore, Erin Paige 05 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Background: Gross anatomy is a foundational medical school course upon which other courses and patient care is grounded; however, variability in student performance suggests potential in studying underlying non-academic factors to explain some of these inconsistencies. Thus, this study examined medical students’ implicit theories of intelligence (ITI) and grit in order to better understand student learning outcomes in gross anatomy.
Methods: A mixed methods study was conducted using 2nd, 3rd, and 4th year medical students who successfully completed gross anatomy. Students (n=382) completed the ITI Scale and Short Grit Scale in order to identify individual’s ITI and grit scores. Subsequent interviews (n=25) were conducted to explore how medical students set goals, operated while reaching those goals, and monitored their progress in achieving those goals.
Results: Entity and incremental theorists with high grit performed significantly better in gross anatomy when compared to those with low grit. Further, highly gritty incremental and entity theorists were hard workers and showed resilience in the face of challenges. Specifically, those with an entity ITI had the central goal of getting an honors grade, while those with an incremental ITI desired to understand and apply their anatomical knowledge. Conversely, low grit individuals became overwhelmed by challenges, were more likely to show an inconsistent work ethic, and questioned their ability to master the material. An individual’s ITI, more so than grit, drove the presence of negative emotions in a medical student, with entity theorists feeling anxious and vulnerable, and incremental theorists feeling fewer negative emotions. Finally, grit level moderated how a medical student would respond to negative emotions, with highly gritty individuals exhibiting more constructive coping mechanisms.
Conclusions: These findings suggest that medical students who possess high grit and an incremental theory of intelligence have the most effective learning strategies, set achievable goals, and enlist effective coping mechanisms while learning gross anatomy. The findings and tools used in this study could be incorporated into the medical school admissions process. Finally, findings reinforce the value of examining the ITI and grit of medical students, as they can provide educators with insight regarding important non-academic factors driving learning in gross anatomy.
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Undergraduate Students Teaching Chemistry in Informal Environments: Investigating Chemistry Outreach Practices and Conceptual UnderstandingPratt, Justin M. 19 November 2018 (has links)
No description available.
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Investigating Students’ Understandings about the Electronic Structure of the Atom with Regards to Energy Quantization and ProbabilityAllred, Zahilyn D. Roche 15 April 2019 (has links)
No description available.
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A Systems Approach to Education Based Upon the Work of Clare W. GravesPryor, Tommy Dan 08 1900 (has links)
This study has a twofold purpose. The first is to develop a systems approach to education that is based on the seven levels of existence which were identified by Clare W. Graves. The second is to project and forecast the development of the eighth level of existence and to develop an approach to education for this eighth level. In order to establish an understanding of Graves' theory of the levels of psychological existence, an extensive study was made of Graves' papers, both published and private. Based on Graves' theory and the research of others in the field, an approach to education was designed for each of eight levels of existence—reactive, tribalistic, egocentric, absolutistic, achievist, sociocentric, existential, and experientialistic—that complements and utilizes the unique characteristics of each level. The design of each educational approach includes learning system, motivational strategy, evaluation procedure, classroom management, and facility design. The issues of student grouping by level of existence, assessment of the individual levels of existence, and matching of instructor and students by level of existence are also addressed.
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