Application of machine learning approaches to analyse student success for contact learning and emergency remote teaching and learning during the COVID-19 era in speech-language pathology and audiology.

IF 1 Q3 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Milka C Madahana, Katijah Khoza-Shangase, Nomfundo Moroe, Otis Nyandoro, John Ekoru
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引用次数: 0

Abstract

Background:  The onset of the COVID-19 pandemic across the globe resulted in countries taking several measures to curb the spread of the disease. One of the measures taken was the locking down of countries, which entailed restriction of movement both locally and internationally. To ensure continuation of the academic year, emergency remote teaching and learning (ERTL) was launched by several institutions of higher learning in South Africa, where the norm was previously face-to-face or contact teaching and learning. The impact of this change is not known for the speech-language pathology and audiology (SLPA) students. This motivated this study.

Objectives:  This study aimed to evaluate the impact of the COVID-19 pandemic on SLPA undergraduate students during face-to-face teaching and learning, ERTL and transitioning towards hybrid teaching and learning.

Method:  Using course marks for SLPA undergraduate students, K means clustering and Random Forest classification were used to analyse students' performance and to detect patterns between students' performance and the attributes that impact student performance.

Results:  Analysis of the data set indicated that funding is one of the main attributes that contributed significantly to students' performance; thus, it became one of the priority features in 2020 and 2021 during COVID-19.

Conclusion:  The clusters of students obtained during the analysis and their attributes can be used in identification of students that are at risk of not completing their studies in the minimum required time and early interventions can be provided to the students.

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在 COVID-19 时代,在语言病理学和听力学中应用机器学习方法分析学生在接触式学习和紧急远程教学中的成功率。
背景: COVID-19 大流行病在全球爆发后,各国采取了多项措施来遏制疾病的传播。其中一项措施是封锁国家,限制本地和国际行动。为确保学年的继续,南非的几所高等院校启动了紧急远程教学(ERTL),而以前的常规做法是面对面或接触式教学。这一变化对语言病理学和听力学(SLPA)学生的影响尚不清楚。这也是本研究的动机所在: 本研究旨在评估 COVID-19 大流行对语言病理学和听力学本科生在面对面教学、ERTL 和向混合式教学过渡期间的影响: 方法:使用SLPA本科生的课程分数、K均值聚类和随机森林分类来分析学生的成绩,并检测学生成绩与影响学生成绩的属性之间的模式: 对数据集的分析表明,资金是对学生成绩有重大影响的主要属性之一;因此,在 COVID-19 期间,资金成为 2020 年和 2021 年的优先特征之一: 分析中获得的学生群组及其属性可用于识别有可能无法在最短时间内完成学业的学生,并为学生提供早期干预。
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来源期刊
SOUTH AFRICAN JOURNAL OF COMMUNICATION DISORDERS
SOUTH AFRICAN JOURNAL OF COMMUNICATION DISORDERS AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-
CiteScore
2.10
自引率
36.40%
发文量
37
审稿时长
30 weeks
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