The Robust Learning Model With A Spiral Curriculum: Implications For For TThe Educational EffectivenessOfOf Online Master Degree Programs

Neumann, Yoram; Neumann, Edith; Lewis, Shelia

doi:10.19030/cier.v10i2.9920

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…For the first specific hypothesis it was possible to demonstrate that the levels of writing in the experimental and control groups before the application of the proposal are similar, with the data presented in Table 3 and 4 indicating that the behavior of the groups before the application of the proposal are homogeneous, in that sense the data agree with those found by Arbizu Rodriguez (2019), his research where he aimed at the application of a proposal of methodological strategies such as spiral curriculum to improve students' writing skills in response to a generalized problem in students which showing levels in the writing of texts with percentages less than 50% for medium and low levels, Also in reading comprehension and in the skills of identifying words, these behaviors have been developed at the beginning of the research, therefore a proposal was developed, where it is indicated that a group was defined in which the study was developed, in initial conditions in which the students had many difficulties in writing, At the end of the study it was shown that the methodological proposal has a positive and significant effect on the abilities of students to achieve the writing of a text through the application of spiral curriculum method, also indicates that students by developing a greater speed of the written text, generate a better understanding of the texts and the generation of clear and orderly ideas at the time of developing writing, This behavior is similar to those presented by this research. These results are corroborated as stated by Neumann et al (2017), mentioning that the spiral curriculum is a methodology that has been proposed by Jerome Bruner, where learning is done with the repetition of the topics learned but with different approaches, in which students observe different strategies for the same topic, understanding that this methodology is used to develop skills in various school subjects such as science, mathematics, also for writing and language, for this the teacher must have adequate knowledge of this methodology, its concept, principles of application as well as the strategies that must be applied in the teaching process, students show with the application of this methodology, higher levels of understanding by generating a constant reminder of the topics discussed previously, by which not being applied does not ensure the complete generation of students' writing skills.…”

Section: Cajamarca-ortiz M F (2023) Writing Skills Applying the Spira...supporting

confidence: 91%

Writing skills applying the spiral curriculum method for high school students

Cajamarca-Ortiz

2023

ijssh

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Given the deficient levels of argumentative writing identified in the students, the research carried out aimed to determine the impact of the spiral curriculum methodology on the writing skills of high school students, working as an experimental study, quasi-experimental design. with a non-probabilistic sample, with two independent groups, made up of twenty-one students for the experimental and control groups, to whom a pretest and posttest in academic writing was applied, to measure the initial and post-experience level, in the students of the study groups; The collected data were processed with the use of descriptive and inferential statistics, where when having non-normal data, according to the Shapiro-Wilk normality test, the Mann Whitney U was used through the SPSS program, where a value was obtained as a result. p_<0.01 with significant differences between the pre and post-test, in favor of the latter, reaching the conclusion that the methodology of the in-spiral curriculum has a positive and significant impact on strengthening students' writing skills, validating the research hypothesis.

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Section: Cajamarca-ortiz M F (2023) Writing Skills Applying the Spira...supporting

confidence: 91%

Writing skills applying the spiral curriculum method for high school students

Cajamarca-Ortiz

2023

ijssh

View full text Add to dashboard Cite

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“…Doing so ensures that not only do participants reinforce fundamentals while picking up new details, but they also master important objectives at every stage. This approach has been shown to improve learning while meeting each individual's objectives (Neumann et al, 2017).…”

Section: Challenges and Opportunities Of Applied-mlmentioning

confidence: 99%

Widening Access to Applied Machine Learning with TinyML

Reddi

Plancher

Kennedy

et al. 2022

Harvard Data Science Review

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Broadening access to both computational and educational resources is critical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethical considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facilitate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project competition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies.

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Section: Student Background Diversitymentioning

confidence: 99%

Widening Access to Applied Machine Learning with TinyML

Reddi¹,

Plancher²,

Kennedy³

et al. 2021

Preprint

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Broadening access to both computational and educational resources is critical to diffusing machine-learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this paper, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML both leverages low-cost and globally accessible hardware, and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia (Harvard University) and industry (Google) produced a four-part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for learners from a global variety of backgrounds. It introduces pupils to real-world applications, ML algorithms, data-set engineering, and the ethical considerations of these technologies via hands-on programming and deployment of TinyML applications in both the cloud and their own microcontrollers. To facilitate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project competition. We also released the course materials publicly, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies.

show abstract

The Robust Learning Model With A Spiral Curriculum: Implications For For TThe Educational EffectivenessOfOf Online Master Degree Programs

Cited by 10 publications

References 9 publications

Writing skills applying the spiral curriculum method for high school students

Writing skills applying the spiral curriculum method for high school students

Widening Access to Applied Machine Learning with TinyML

Widening Access to Applied Machine Learning with TinyML

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