Teaching Techniques to Facilitate Time Management in Remote and Online Teaching

Heath, Sarah; Shine, Beau

doi:10.14434/jotlt.v10i1.31370

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…Faced with a number of complications caused by the confinement of teachers and students in school closures, hybrid online formats were developed to provide Hyflex experiences, that is, hybrid and flexible educational experiences that could adapt to different scenarios at different times of the class period to facilitate the management of the unique approach to non-face-to-face microlearning (Heath and Shine, 2021).…”

Section: Discussionmentioning

confidence: 99%

Microlearning as an Alternative Teaching Model: Influence of COVID-19 in Latin America and the Caribbean

Borrego Ramírez,

Ruiz Cansino

2023

JHETP

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The article focuses on the use of Microlearning as an educational response during the COVID-19 pandemic in Latin America and the Caribbean. It highlights how Microlearning, which consists of breaking down educational content into small, easy-to-understand units, has become an important trend. During the confinement, education systems adapted traditional methods to provide educational content in Microlearning format. Social networks played a crucial role in the delivery of microcontent and collaboration among students. Teachers’ roles varied, but their ability to manage technology was essential. Digital infrastructure also influenced the success of Microlearning. The most relevant keywords are Microlearning, COVID-19, Distance education and social networks.

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Section: Discussionmentioning

confidence: 99%

Microlearning as an Alternative Teaching Model: Influence of COVID-19 in Latin America and the Caribbean

Borrego Ramírez,

Ruiz Cansino

2023

JHETP

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“…Studies show that the average amount of information the short-term memory can retain and process when exposed to a new concept is 7 ± 2 [41,42]. The number approaches the minimum with an increased number of syllables in a word during processing of a sequence of words [43].…”

Section: Memory Limitation In the Natural Edpe Processmentioning

confidence: 99%

A Computational Approach to Identifying Engineering Design Problems

Obieke

Milisavljevic-Syed

Silva

et al. 2023

Journal of Mechanical Design

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Identifying new problems and providing solutions are necessary tasks at early-stage product design and development for design engineers. A new problem fosters innovative and inventive solutions. Hence, it is expected that engineering design pedagogy and practice should equally focus on Engineering Design Problem-Exploring (EDPE) – a process of identifying or coming up with a new problem or need at the early stage of design, and Engineering Design Problem-Solving (EDPS) – a process of developing engineering design solutions to a given problem. However, studies suggest that EDPE is scarcely practiced or given attention to in academia and industry, unlike EDPS. The aim of this paper is to investigate the EDPE process for any information relating to its scarce practice in academia and industry. This is to explore how emerging technologies could support the process. Natural models and phenomena that explain the EDPE process are investigated, including the “rational” and “garbage can” models, and associated challenges identified. A computational framework that mimics the natural EDPE process is presented. The framework is based on Markovian model and computational technologies including machine learning. A case study is conducted with a sample size of 43 participants drawn worldwide from the engineering design community in academia and industry. The case study result shows that the first-of-its-kind computational EDPE framework presented in this paper supports both novice and experienced design engineers in EDPE.

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“…Data fusion technology has affected all social strata from the side and can also provide financial and policy support for colleges [22,23].…”

Section: Related Concepts and Theoretical Basismentioning

confidence: 99%

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

Guo

2023

Wireless Communications and Mobile Computing

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Big data has become a new driving force for national innovation and entrepreneurship. Although colleges and universities, which are responsible for cultivating high-quality entrepreneurship and innovation talents, have achieved certain results, there are still many problems in practice, which need to be driven by big data. Big data and the practice of innovation and entrepreneurship education in colleges and universities have certain inherent commonality. The integration of big data into the practice of innovation and entrepreneurship education in colleges and universities needs to be improved and strengthened in terms of top-level design, data environment, and educational concepts. Educational big data has become a hot topic and trend in educational research. College students’ entrepreneurship is a kind of entrepreneurial process in which special groups of college students and graduate students are the main body of entrepreneurship. With the recent transformation process of our country and the increasing pressure of social employment, entrepreneurship has gradually become a career choice for college students and graduates. Through data mining, statistical analysis, model construction, and comprehensive reasoning of educational big data are realized, and positive suggestions and countermeasures are provided for education and teaching. On the basis of the pattern analysis of educational data mining process, the concrete application of educational data mining is analyzed, and the correlation and rules between educational phenomena are found, so as to provide educational prediction and educational decision support for further optimization of teaching.

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Teaching Techniques to Facilitate Time Management in Remote and Online Teaching

Cited by 8 publications

References 10 publications

Microlearning as an Alternative Teaching Model: Influence of COVID-19 in Latin America and the Caribbean

Microlearning as an Alternative Teaching Model: Influence of COVID-19 in Latin America and the Caribbean

A Computational Approach to Identifying Engineering Design Problems

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

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