Developing and Assessing MATLAB Exercises for Active Concept Learning

Song, Shixin; Antonelli, Marco; Fung, Tony; Armstrong, Brandon D.; Chong, Amy; Lo, Albert; Shi, Bertram E.

doi:10.1109/te.2018.2811406

Cited by 31 publications

(11 citation statements)

References 25 publications

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“…At this point, making a mental note of challenges that are especially visible in engineering education is helpful. Experiential learning, such as simulations and laboratory exercises, to assist learners is considered extremely critical for engineering MOOCs [48]. Small private online courses (SPOCs) and the integration of social networks in engineering education via MOOCs are also two promising fields of study.…”

Section: Sna-based Keyword Network Analysismentioning

confidence: 99%

The role of MOOCs in engineering education: An exploratory systematic review of peer‐reviewed literature

Sezgin

Çırak

2020

Comp Applic In Engineering

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The aim of the current study is to explore and evaluate the current status of massive open online courses (MOOCs) in the field of Engineering Education. In line with this aim, the study intends to identify and map the role of "MOOCs in engineering education research" through a review of empirical articles published in peer-reviewed journals indexed in the "Web of Science," "IEEE Xplore," "Scopus," "Science Direct," and the "ACM Digital Library" databases. Social network analysis, content analysis, and inferential-descriptive statistics were applied in the study. The study's findings indicate a growing trend in "MOOCs in engineering education research." Online virtual labs, social networks, flipped classroom strategy, active learning, small private online courses, and motivation are the key lodestar topics in "MOOCs in engineering education research" and engineering education researchers mostly employ practice-based and quantitative research approaches. Besides this, it was found that engineering education researchers use MOOCs for three main purposes: designing a domain-specific MOOC with unique features; developing a system/model for e-learning and MOOCs, or aiming to improve engineering education using interactive online technologies. The findings of the current study indicate that engineering education researchers primarily give importance to performance outcomes and motivation in learning, and try to increase the quality of engineering education through the use of MOOCs. Finally, the findings imply that the general discourse among the sampled articles is positive, and may be considered useful in the exploration of potential research into "MOOCs in engineering education research."

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Section: Sna-based Keyword Network Analysismentioning

confidence: 99%

The role of MOOCs in engineering education: An exploratory systematic review of peer‐reviewed literature

Sezgin

Çırak

2020

Comp Applic In Engineering

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“…For teaching during the pandemic we switched to Matlab Grader for EECS 1011 as it integrated well with both the LMS and the course material. [26] We also introduced Virtual Programming Lab (VPL) plugin for Moodle for courses that had non-Matlab programming elements like C, Java, Python, Assembler, etc. [27] In the Winter 2021 semester, VPL was used in EECS 1021, the sequel to EECS 1011 as the course is based on Java.…”

Section: B Interactive Learning Lecturesmentioning

confidence: 99%

Pedagogy in a Pandemic: Teaching without Exams

Smith

2021

PCEEA

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Due to the pandemic lockdown, York University’s Fall 2020 offerings of a pair of 1st and 2nd year undergraduate engineering and computer science courses were heavily modified to accommodate a completely online approach to teaching. The objective was to maximize interactivity and hands-on elements while also providing a supportive and authentic learning experience. Class presentations were made asynchronous by uploading them to YouTube and superimposing H5P elements via our Moodle-based LMS. Our traditional laboratory equipment was replaced with inexpensive lab kits that were obtained from commercial vendors and shipped to students via the university’s Bookstore. All tests, quizzes and exams were eliminated in both courses. Instead, a specifications-based assessment approach was taken, with all students given the opportunity to achieve a B+ if they completed all the work in the class. Students who wished to submit a final project could do so for an opportunity to boost their grade to A or A+. Most intra-semester deadlines were removed, with material associated with the synchronous lab sessions being the notable exception. The resulting grade distribution and averages were similar to previous years inwhich we relied to in-person testing. The rate of A/A+ was 21% and 8%, while the failure rate was 13% and 3% , respectively, for the first and second year classes. Informal feedback from students, including those with academic accommodations, was nearly universally positive, with most acknowledging that their stress levels were lower, making the learning more manageable. En raison de la crise sanitaire et le confinement COVID19, deux cours d’ingénierie de 1`ere et 2`eme année de l’université York ont été modifiés pour s’adapter à une approche d’enseignement entièrement numérique. L’objectif des adaptations était de permettre aux étudiants d’apprendre du matériel technique de manière pratique et interactive sur internet. Les présentations en classe ont été rendues interactives et asynchrones en les téléchargeant sur YouTube et en superposant des ressources H5P via notre environnement numérique d’apprentissage Moodle. Nos équipements de laboratoire traditionnel ont été remplacé par des kits de laboratoire abordables obtenus auprès de fournisseurs commerciaux et expédies aux étudiants via la librairie de l’université. Nous avons éliminé tous les tests, questionnaires et examens dans les deux cours. Une approche basée sur les spécifications a été adoptée, permettant les élèves d’obtenir un B+ s’ils terminent tous les travaux de la classe. Les étudiants qui souhaitaient un A ou A+ devaient soumettre un projet final. La plupart des délais intra-semestriels ont été supprimés, le matériel associé aux sessions de laboratoire synchrones étant l’exception notable. La distribution des notes et les moyennes étaient similaires aux années au cours desquelles nous nous sommes appuyés sur des tests en personne. Le taux de A / A + était de 21% et 8%, tandis que le taux d’échec était de 13% et 3%, respectivement, pour les classes de premières et deuxièmes années. La rétroaction informelle des étudiants, y compris ceux qui avaient des accommodements scolaires, était presque universellement positive, la plupart reconnaissant que leur niveau de stress était réduit et que l’apprentissage était gérable.

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“…According to the judged color of the machine, the corresponding color is divided. There is a fixed frame line for the VAT ticket, we can first use the mouse to take the function ginput(Á), 6 which can manually cut out the part to be extracted according to the fixed frame of the blank invoice, and generate the Excel file of the location information, such as the buyer, the seller, and the password area. Then import Excel in the code, you can initially split the invoice, reduce the follow-up workload, and improve the extraction rate.…”

Section: First Splitmentioning

confidence: 99%

Secondary segmentation extracted algorithm based on image enhancement for intelligent identification systems

Dong

Jiang

Fan

et al. 2018

International Journal of Distributed Sensor Networks

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Due to the indefinite position of the characters in the invoice and the difference of the color shades, which greatly increases the difficulty of intelligent identification, it is difficult to meet practical applications. In order to solve this problem, this article proposes a quadratic segmentation algorithm based on image enhancement. Specifically, we first enhance the color of the image based on gamma transformation, and then separate the machine-printing character from the blank invoice based on the color analysis of the machine-printing character. Then according to the open operation in the image processing field and the bounding rectangle algorithm, the pixel information of the machine-printing character is obtained, which is convenient for getting the character information. The algorithm can achieve effective extraction of machine-printing characters and also reduce the difficulty of invoice identification and improving the accuracy of invoice identification. Simulation results are given to confirm the proposed algorithm. After many experiments, the extraction accuracy of this algorithm is as high as 95%.

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Developing and Assessing MATLAB Exercises for Active Concept Learning

Cited by 31 publications

References 25 publications

The role of MOOCs in engineering education: An exploratory systematic review of peer‐reviewed literature

The role of MOOCs in engineering education: An exploratory systematic review of peer‐reviewed literature

Pedagogy in a Pandemic: Teaching without Exams

Secondary segmentation extracted algorithm based on image enhancement for intelligent identification systems

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