Using Feedback from Students to Remedy a Pedagogy of the Historically Disadvantaged: A Case Study of Law Teaching

Ndebele, Clever; Ndlovu, Lonias

doi:10.1080/09720073.2013.11891287

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…However, its disadvantage is that it ignores the relationship between department law and department law and the complexity of actual legal problems. Such a case instructional mode is not conducive to cultivating students' thinking of solving practical legal problems, and eventually, the case teaching will remain on paper (Ndebele & Ndlovu, 2013). Unlike the 'spoon-feeding' instructional mode of teachers' one-way knowledge transmission in the classical classroom knowledge instructional method, the case instructional method advocates finding the best solution from the opposite point of view and finding the most normative consensus or decision through explanation and demonstration in the procedure.…”

Section: Problems In the Traditional Law Case Teachingmentioning

confidence: 99%

Law Case Teaching Combining Big Data Environment With SPSS Statistics

Wang

2023

International Journal of Web-Based Learning and Teaching Technologies

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This paper proposes an online learning platform learner DM method based on the improved fuzzy C clustering (FCM) algorithm, constructs a learner feature database, and combines clustering analysis and SPSS statistical methods to statistically summarize the big data of law, thus improving the deficiencies of static and absolute classification of students in the student model. In the experiment paper, the improved algorithm is implemented and the experimental data is analyzed. The results show that the learner behavior feature extraction model in this paper has fewer errors and higher recall rate. Compared with the traditional CF algorithm, the error rate is reduced by 19.64% and the recall rate is increased by 22.85%. This study provides better targeted teaching programs and case resources for legal case teaching and promotes the innovation of legal case teaching mode.

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Section: Problems In the Traditional Law Case Teachingmentioning

confidence: 99%

Law Case Teaching Combining Big Data Environment With SPSS Statistics

Wang

2023

International Journal of Web-Based Learning and Teaching Technologies

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“…Teaching needs to be studentcentered, constantly exploring new modes of teaching intellectual property law courses and improving students' learning ability and learning efficiency in many ways in order to achieve the goal of comprehensive and applied legal talent training. Ndebele, C et al, based on questionnaires and indepth interviews, explored the students' views of teachers' law teaching and learned that law teachers forcibly reduce students' discussion and communication about legal knowledge for the sake of the syllabus and believe that the teachers' teaching mode needs to be optimized and progressed, while the syllabus needs to be streamlined and simplified to add more interactive sessions [16]. Binder, C. et al discussed the popularity of human rights law, which gradually appeared in the curriculum of the university, and at the same time, there existed a variety of sorts of books on human rights law on the market and said that human rights law textbooks help students to understand the structure of international human rights [17].…”

Section: Introductionmentioning

confidence: 99%

Informatization Teaching Mode of Intellectual Property Law Course Based on Clustering Algorithm

Cui,

Yuan

2024

Applied Mathematics and Nonlinear Sciences

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The traditional intellectual property law course cannot adapt to the needs of cultivating students’ active learning ability, practical ability and innovation ability in the digital era due to the teaching concept, teaching means, teaching method and assessment form. This study proposes an information-based teaching model, which builds a course knowledge organization model using a formal expression language, through atomized knowledge points and knowledge granularity. The k-means algorithm has been improved from the perspective of center selection and constraint rules to adapt to the characteristics of the intellectual property law course and complete the clustering and extraction of knowledge points. The frequent item-based method analyzes the students’ answers and generates the corresponding association rules to further develop the analysis of learning situations. For a college law school study, it was found that 925 simultaneous wrong answers and 8152 simultaneous correct answers were successfully mined using clustering. In applying this college students’ evaluation scores of this information technology teaching in terms of content design, presentation design, structural design and relationship design of knowledge clustering are 0.796, 0.818, 0.788, 0.794, and overall good results are achieved.

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Promoting Active Learning in Large Class University Teaching: Prospects and Challenges

Ndebele

Maphosa

2013

Journal of Social Sciences

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Using Feedback from Students to Remedy a Pedagogy of the Historically Disadvantaged: A Case Study of Law Teaching

Cited by 4 publications

References 6 publications

Law Case Teaching Combining Big Data Environment With SPSS Statistics

Law Case Teaching Combining Big Data Environment With SPSS Statistics

Informatization Teaching Mode of Intellectual Property Law Course Based on Clustering Algorithm

Promoting Active Learning in Large Class University Teaching: Prospects and Challenges

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