Constraints to the use of online platform for teaching and learning technical education in developing countries

Ohanu, Ifeanyi Benedict; Chukwuone, Chiamaka Adaobi

doi:10.1007/s10639-018-9757-8

Cited by 13 publications

(8 citation statements)

References 16 publications

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“…The system administrators are in charge of reviewing the courses that have been applied for and managing the user rights of teachers and students in video uploads and recommendations, homework submission, and leaving messages and comments, etc. [23,24]. Teachers have the rights of creating courses, uploading teaching materials, downloading homework in batches, com-menting, browsing comments, and recommending course videos, etc.…”

Section: An Overview Of Online Education Platformsmentioning

confidence: 99%

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Fan

Zhang

Zu³

et al. 2021

Int. J. Emerg. Technol. Learn.

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Online education platforms inject new vitality into the field of education, and greatly improves the accessibility to high-quality education resources. However, the current online education platforms do not support independent course selection based on personal preferences. To solve this problem, this paper designs an automatic recommendation method of optimal courses for online math education platforms based on Bayesian model. The results show that the Bayesian model can simulate the causal relationship between real-world affairs by building a graphic model based on the graph theory and the probability theory; the model can effectively merge priori and posteriori information, and encode the causality between knowledge points; the model clearly outshines user-based collaborative filtering model, term-based collaborative filtering model, and SlopeOne model, and achieves a stable accuracy rate in automatic recommendation of courses. The research provides an empirical evidence to the improvement and innovation of professional online math course platforms.

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Section: An Overview Of Online Education Platformsmentioning

confidence: 99%

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Fan

Zhang

Zu³

et al. 2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

“…They were relieved in the approach of content acquisition since in online learning, teachers just assist the learners in the LMS to explore and search topics through giving them useful sites (Badia, Garcia, & Meneses, 2019). However, in Nigeria, teachers who used the online platform were reluctant to use the online platform (Ifeanyi & Chukwuone, 2018). Others were frustrated with the essential elements of online learning: flexibility and balance, academic freedom and autonomy, professional relationships, and professional growth (Mansbach & Austin.…”

Section: Theme 4: Availability Of Technological Resourcesmentioning

confidence: 99%

“…They met different experiences and challenges. In Nigeria, the intimate, attitudinal, institutional, and societal challenges behind the unwillingness of Technical Education (TE) teachers to use the online platform were investigated and found out that they were reluctant to use the online platform (Ifeanyi, & Chukwuone, 2018). Instructors were frustrated on the -essential elements of online learning that include flexibility and balance, academic freedom and autonomy, professional relationships, and professional growth (Mansbach & Austin, 2018).…”

Section: Introduction *mentioning

confidence: 99%

Experiences of Instructors in Online Teaching: A Phenomenological Study

Baluyos

Clarin

2021

eduline j. educ. learn. innov.

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The abrupt shift to online distance education as a result of COVID-19 pademic resulted to the diversification of teaching modalities and pedagogies. This study explored the lived experiences of instructors in online teaching during the SY 2020-2021 using Van Manen's hermeneutic phenomenological design. Purposive sampling was used to select the twenty-five participants for the study. In-depth face-to-face interviews were conducted with all the participants to gather information from the teachers. Data analysis was employed using the six components of hermeneutic phenomenological design and with the aid of NVivo software. Results revealed that the instructors’ experiences in online teaching were identified in five themes: preparation of learning materials, realization of learning outcomes, stability of internet connection, availability of technological resources, and difficulty in the conduct of assessment activities. The instructors encountered positive and negative experiences in online teaching. Online teaching enhancement program is recommended in this study.

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“…The development of science and technology has caused great changes in the teaching of English subjects. Teachers can visualize some abstract concepts and laws of English subjects through multimedia presentations [4,5], teaching activities can be recorded, which greatly facilitates teachers. The research of self-teaching and the learning of students have enriched the ways for students to acquire knowledge [6], and effectively help students improve their learning effects.…”

Section: Introductionmentioning

confidence: 99%

Online Teaching in the Context of the Epidemic

2021

Application of Intelligent Systems in Multi-Modal Information Analytics

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The outbreak of the novel coronavirus epidemic has caused a largescale suspension of work and classes in my country. In order to ensure the normal learning of students, schools have carried out online teaching . This article mainly studies the effectiveness of online teaching in the context of the epidemic. It selects a college school for testing. The first is to get to know the basic information of the testers. The second is to understand the testers' awareness of the importance of online English teachers' teaching abilities. The third part is a detailed understanding of the testers' online English teaching ability. The content of the interview is involved with all aspects related to the current situation of online English teaching from the teacher's perspective, including the students' perception of online teaching, the teacher's teaching ability, and the problems faced by teachers in teaching. The data shows that the average values of the three dimensions of students' deep learning status are 3.419, 3.102, and 3.115. The results show that online teaching breaks the limitations of time and space, allowing abundant network resources to be effectively used.

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Constraints to the use of online platform for teaching and learning technical education in developing countries

Cited by 13 publications

References 16 publications

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Experiences of Instructors in Online Teaching: A Phenomenological Study

Online Teaching in the Context of the Epidemic

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