The Effectiveness of STEM Education Applied with a Distance Education Approach

Tezer, Murat; Orekhovskaya, Natalia A.; Shaleeva, Elena F.; Knyazeva, Svetlana A.; Krokhina, Julia A.

doi:10.3991/ijet.v16i19.26061

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…With the update of technologies like cloud computing and artificial intelligence and the vigorous development of online open courses, teaching cases have become the core of online learning resources, and with the continuous updating of new platform learning resource combinations and configuration models, the classification and sharing of online course teaching cases are also developing [1][2][3][4][5][6][7][8][9]. The digital network environment where online open courses are taught and the wide application of student portrait analysis systems in distance education [10][11][12][13][14] are the foundation and support for the breakthroughs and innovations in the classification and sharing of online course teaching cases for students' individual learning needs.…”

Section: Introductionmentioning

confidence: 99%

Classification of Online Course Teaching Cases Based on an Improved Clustering Method

Li¹

2022

Int. J. Emerg. Technol. Learn.

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The classification and sharing of online course teaching cases based on students’ individual learning needs can help teachers save time and cost in preparation of lessons and enrich their teaching content, and what is more, it is in line with the digitalization trend of the modern data-driven education. Currently, there has been few research on the combination of new information technology with teaching case classification, and the research is not adequate on the existing algorithms for classification of online course teaching cases. Therefore, this paper takes the teaching cases of online open courses of finance as the object, and studies the classification method for online course teaching cases based on an improved clustering method. First, the text clustering problem of finance teaching cases was described, and the conversion process of the abstracts of the case text and the evaluation method for the importance of words to teaching cases were given. Then, the key sentences were extracted from the text of the finance teaching cases, and the related algorithm was introduced. After that, the clustering flow chart for long texts of finance teaching cases was shown, and the principle of the combined clustering algorithm for finance teaching cases with uneven distribution of long texts and short texts was described in detail. The experimental results verified the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Classification of Online Course Teaching Cases Based on an Improved Clustering Method

Li¹

2022

Int. J. Emerg. Technol. Learn.

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Using Active Methodologies for Teaching and Learning of Exploratory Test Design and Execution

et al. 2023

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Background: Exploratory testing has been used in the industry mainly to meet the needs of agile testing processes. In an agile scenario, this testing approach is important to facilitate changes constantly, which helps agile projects successfully. One of the ways to achieve success more easily is if the test process follows guides that provide structured activities. Problem Analysis: In this context, some studies have identified that software engineering does not understand how to apply exploratory testing approaches in a systematic way, involving both design and execution activities. After a review of the literature, it has been noticed that professionals performing exploratory testing focus only on execution activities. In an academic scenario, the literature review has evidenced that content about exploratory testing is not usually taught, and it is important that the professional acquires enough basic skills to apply it through structured activities. Purpose: In this context, this article presents an analysis and discussion of the results obtained in an experiment that applied a syllabus proposed by the author, using active methodologies to teach the Exploratory Test Design and Execution being applied and testing the approach in a systematic way. The teaching plan elaborated upon and used as part of the syllabus is based on “learning by doing” in an interactive way, that is, providing student-centered teaching in order to make such an approach more beneficial to the student and, conditioning them to obtain the expected competences in the industry. Methods: The strategies to carry out the research were as follows: (i) a review of the literature to identify gaps in the knowledge about activities performed in the exploratory testing process; then, to elaborate upon the syllabus proposed, (ii) equivalence mapping was carried out on some guides and curricula related to the research theme; (iii) a survey was conducted to identify the tools, techniques, and work products usually used by professionals in the industry; (iv) a teaching plan, based on active methodologies, was produced using the proposed syllabus; (v) then, for the application of this teaching plan in an experiment, a statistical analysis was performed using the two-tailed Student-t approach for independent samples. Results: For this, both groups (experiment and control) were analyzed using the two-tailed Student-t technique, and we noticed that significant statistical gains were reached with the use of the proposed approach, compared to the control group. All participants reported that some basic test concepts, if adopted in their courses, could contribute positively. The participation made them (students) more active in the classes provided by active pedagogical practices, especially when remote teaching was applied; this broke down barriers to communication with their classmates. Conclusion: The results show that the use of active methodologies can provide benefits to the learning of Exploratory Test Design and Execution systems as they allow the application of tools in line with real scenarios observed in software development companies; these results also encourage new studies to explore these ideas further.

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The Effectiveness of STEM Education Applied with a Distance Education Approach

Cited by 2 publications

References 17 publications

Classification of Online Course Teaching Cases Based on an Improved Clustering Method

Classification of Online Course Teaching Cases Based on an Improved Clustering Method

Using Active Methodologies for Teaching and Learning of Exploratory Test Design and Execution

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