Preliminary evidence of a relationship between the use of online learning and academic performance in a South African first-year university accounting course

Abstract

This article examines the relationship between the use of online learning resources and academic performance in an Accounting 1 course conducted at a South African Higher Education Institution. The study employed a quantitative analysis over three academic years comparing the collection of end of year marks and the time spent online. The results provide preliminary empirical evidence to show that students who spent more time online significantly improved their course mark. Although much accounting-based educational research exists on the use of computers, there is a dearth of research testing any relationship between the use of online learning material and performance, and particularly in accounting education. While the results are preliminary and have some limitations, they are useful to students, teaching instructors and administrators, and provide a platform for future research into the value of using online learning in accounting.     

The experience of introducing secure e-assessment in a South African university first-year foundational ICT networking course

This article illustrates the experience of introducing e-assessment to a foundational ICT networking course for a ‘large’ group of first-year students at a South African Higher Education Institution. The study employed a mix of participatory action research, systems design, and survey (quantitative and qualitative) analysis over an academic year across two semesters. Although much research has been conducted on teaching in ICT, the purposeful pedagogical use of electronic assessment is limited. The results provide insight into the need for ‘extending’ the scholarship of teaching and learning to the scholarship of teaching, learning and assessment. While the research has some limitations in longitudinal and comparison studies, it is useful to students, teaching instructors, lecturers and administrators as it provides key thoughts as guidelines for introducing and using e-assessments as platforms for active learning, and as a basis for future research into the use of e-assessment for high-stake summative assessment.     

大学生在线学习投入对学习绩效的影响研究——以西部某新建师范院校为例

以群体动力学理论为基础,以西部某新建师范院校在校本科生为研究对象,构建了在线学习投入对学习绩效的解释结构模型。研究表明:群体动力学理论的基本假设对开展在线学习行为研究具有一定的适用性和拓展性;大学生参加在线学习的内部动机越强,其情感投入、学习绩效越高;情感投入度越高,其行为投入、认知投入度越高;增强线上交互有助于强化情感投入;增强情感投入有助于强化内部动机对认知投入的影响和线上交互对行为投入的影响;增强认知投入和行为投入,有助于强化情感投入对学习绩效的影响。因此,高校应进一步规范课程引入、强化选课指导、优化学习空间,以增强大学生在线学习的内部动机,提升线上交互质量。     

University teacher roles and competencies in online learning environments: a theoretical analysis of teaching and learning practices

The aim of this article is to clarify the university teacher roles and competencies in online learning environments, with a view to assisting in the design of professional development activities. This referential framework results from an extensive review of the literature and from analysing professional development designed in different European universities. It is worth mentioning that the definitions that will be produced do not refer to standards of teacher performance; on the contrary, we would like to emphasise the notion of socially situated competencies which are derived from the roles and tasks attributed to university teachers in online learning environments, without losing track of the dialectics and integrity of their exercise.     

A correlational study on attachment dimensions,academic performance and self-regulated learning of university students in South Africa

ABSTRACT

An association between attachment and academic performance appears to be consistently found in children; however, reports on such an association in adolescents are contradictory. This study aimed to determine whether the attachment dimensions of anxiety or avoidance significantly correlate with a student’s academic performance at university. Moreover, since individual differences in attachment index distinct self-regulatory capacities, this study aimed to determine whether any correlation exists between a student’s attachment dimensions and measures of self-regulated learning. Attachment dimensions were determined by the Experiences in Close Relationships-Revised questionnaire, while self-regulated learning was determined by the Learning and Study Strategies Inventory, in a sample of university students (n = 185). Neither attachment dimensions correlated significantly with measures of academic performance. However, attachment dimensions did significantly correlate with measures of self-regulated learning in this study.     

The relationship between student engagement with online content and achievement in a blended learning anatomy course

Blended learning has become increasingly common in higher education. Recent findings suggest that blended learning achieves better student outcomes than traditional face‐to‐face teaching in gross anatomy courses. While face‐to‐face content is perceived as important to learning there is less evidence for the significance of online content in improving student outcomes. Students enrolled in a second‐year anatomy course from the physiotherapy (PT), exercise physiology (EP), and exercise science (ES) programs across two campuses were included (n = 500). A structural equation model was used to evaluate the relationship of prior student ability (represented by grade in prerequisite anatomy course) and final course grade and whether the relationship was mediated by program, campus or engagement with the online elements of the learning management system (LMS; proportion of documents and video segments viewed and number of interactions with discussion forums). PT students obtained higher grades and were more likely to engage with online course materials than EP and ES students. Prerequisite grade made a direct contribution to course final grade (P < 0.001) but was also mediated by engagement with LMS videos and discussion forums (P < 0.001). Student learning outcomes in a blended anatomy course can be predicted the by level of engagement with online content. Anat Sci Educ 11: 471–477. © 2017 American Association of Anatomists.     

网络环境下专业英语视听说教学模式探索

专业英语视听说课程以学习理论为基础,探索并实现了网络环境下视听说三位一体的立体化教学模式,在教学内容、教学手段、教学过程、教学管理和教学评估各方面都有所创新,课程优势与特色明显,有效促进了学生专业英语的综合应用能力的提高。     

Distance education: relationship between academic performance and technology-adept adult students

Advances in technology assisted education are revolutionizing the educational process as most know it today. What impact, if any, does technology-assisted education have on the future of higher education? In this study, we examine data from an ongoing evaluation of the distance education program for graduate level business students in a private university. The study addresses the impact of technology-assisted learning on academic performance among distance learners and their on-campus counterparts. The study further explores the relationship between academic performance and students' technological adeptability. The findings indicate, when adjusted for gender (females out-performed males), there were no significant differences in academic performance between distance learners and their on-campus counterparts. Analysis also shows no significant differences in overall academic performance between technology-adept students and those without technological skills. These findings may remove at least some perceived barriers in the decision to initiate distance education programs.     

Exploring the relationship among learning patterns,personality traits,and academic performance in freshmen

Providing information about how 1st-year students learn may help colleges plan actions aimed at increasing students' persistence in higher education programs. This research aims to assess 1st-year students' academic performance, using a path analysis to establish inter-correlations among students' personality traits, learning patterns, high school achievement, and objectively measured outcomes. Participants included 509 freshmen from different academic disciplines. Results show a causality relations model in which Conscientiousness positively influences Sequential and Precise learning patterns as well as academic performance. The path model also confirms Extraversion as a negative antecedent of the Technical learning pattern. It is argued that knowing students is a primary step to putting them in a position to become an active part of the learning process.     

The anatomy of agency: Improving academic performance in first-year university students

The transition from secondary to tertiary education can be challenging, as students must adapt to independent learning. For students in the allied health and nursing disciplines, this transition may coincide with compulsory first-year courses in anatomy, which are traditionally difficult to master. Students' agency—their capacity to make intentional choices to alter the path of their learning—may play a role in their successful completion of first-year anatomy courses. This study aimed to develop a measure for agency and to determine whether agency is associated with academic achievement. First-year students (n = 131) completed open-ended questions measuring each aspect of agency. Student responses were quantified using rubrics and then combined to create an overall agency score. Three factors of agency were determined: action, metacognition, and self-efficacy. Students with higher agency scores were significantly more likely to have higher academic achievement in anatomy compared to students with lower agency scores. The relationship between agency and academic achievement was strongest for action. These results suggest that encouraging students to be active participants in their learning may help them to achieve at university.     

Differences between high and low academic achieving university students in learning and study strategies: a further investigation

The outcome evaluation of Pare-Chocs, a school-based cognitive-behavioural (CB) prevention program for adolescent depression, was conducted with 53 adolescents at risk of school dropout and exhibiting high depressive symptoms using a theory-driven evaluation model. Our results show a significant relationship between the intervention and proximal variables: Experimental-group students presented less cognitive distortions and better problem-solving strategies at post-treatment and follow-up. Greater participation intensity predicts less cognitive distortions and better problem-solving strategies at follow-up. Moreover, less cognitive distortions at post-treatment and follow-up are linked to less depressive symptoms. These promising results encourage future evaluative research on school dropout prevention programs linked with at-risk students’ characteristics. For practitioners, they suggest that the implementation of a CB prevention program for depressive symptoms in school settings could lead to decrease depression risk factors and improve protective factors among youth at risk of school dropout.     

高中生英语学习适应性与人格、学业自我效能感、学业成绩的关系

对河南省四所高中782名学生英语学习适应性的问卷调查结果表明:高中生英语学习适应性在具体维度上有显著的性别效应;人格特征中的外向性、宜人性、开放性与英语学习适应性呈显著正相关,学业自我效能中的语言学业自我效能与学习适应性呈显著正相关,数学学业自我效能与英语学习适应性的相关性极低且不显著;人格特征、学业自我效能感对英语学习适应性有显著的预测作用;高中生的学业成绩和学业自我效能感在人格特征与英语学习适应性之间起着中介作用。     

Transfer of academic staff learning in a research-intensive university

In both Australia and abroad, there is an increasing pressure towards professionalisation of university teaching, with the expectation that academic development courses, such as the Graduate Certificate in Education Studies (higher education), lead to better teaching and learning practices. However, the knowledge, skills and/or attitudes that educators intend students to learn may not transfer successfully back to the workplace. This may occur for a variety of reasons, including individual characteristics of the learner (e.g. ability, motivation), and situational characteristics (e.g. the climate for transfer, including adequacy of resources and peer/manager support). The present study investigates the impact of these factors on teaching staff in a research-intensive university. Two in-depth case studies, followed by thematic analysis of 15 Graduate Certificate alumni interviews regarding post-course experiences, revealed that qualities of the work environment played significant roles in interviewees' post-course attitudes, intentions and activities related to the transfer of learning. Implications for encouraging transfer under similar circumstances are discussed.     

A large-scale test of the relationship between procrastination and performance using learning analytics

Abstract

Many studies have found a relationship between students’ self-reported procrastination and their grades. Few studies have used learning analytic data as a behavioural measure of procrastination in order to predict performance, and there is no systematic research on how this relationship may differ across assessments or disciplines. In this study we analyse nine years’ worth of institutional electronic submission records, a total of 73,608 assignment submissions, to examine the relationship between submission time and grades across assignments, students, courses, and disciplines in higher education. A significant negative relationship was found overall, with students who submitted closer to the deadline obtaining lower grades, however the size of the relationship was negligible, accounting for less than 1% of the variance in grades. The relationship varied significantly depending on student, assignment, course and discipline.     

Relations between student learning patterns and personal and contextual factors and academic performance

This study was aimed at clarifying relations between the way students learn and personal, contextual and performance variables. Students from seven different academic disciplines completed the Inventory of Learning Styles (ILS). Besides, data about their age, gender, academic discipline, prior education and exam performance were gathered. Regression and correlations analyses were used to analyse the data. The results showed that students learning patterns were indeed associated with personal and contextual factors such as academic discipline, prior education, age and gender, but that the different learning patterns had different sources. Second, students learning patterns proved to explain an important part of the variance in their academic performance. However, the results also revealed that exams as usually used in the first years of higher education hardly capitalise on students use of critical, analytical and concrete processing strategies.     

Relationships among individual task self-efficacy,self-regulated learning strategy use and academic performance in a computer-supported collaborative learning environment

This study investigates relationships between self-efficacy, self-regulated learning strategy use and academic performance. Participants were 96 undergraduate students working on projects with three subtasks (idea generation task, methodical task and data collection) in a blended learning environment. Task self-efficacy was measured with self-reports administered during each subtask. Learning strategies were assessed by counting each instance of strategy use as it occurred in peer-to-peer conversations typed into a computer software system. Results showed that for each subtask, learners with higher task self-efficacy had higher task performance. Those who used more learning strategies on each subtask also had higher performance. In turn, high performance was associated with high self-efficacy on subsequent subtasks. Surprisingly, results showed that task self-efficacy and learning strategy use were not significantly related during any subtask. Overall, results imply that task self-efficacy, learning strategy use and past performance are important predictors of task performance.     

Revisiting “power in the classroom”: exploring online learning and motivation to study course content

Online learning is growing in popularity among students (Allen &; Seaman, 2015 Allen, I. E., &; Seaman, J. (2015). Grade level: Tracking online education in the United States. Newburyport, MA: Sloan Consortium. [Google Scholar]. Grade level: Tracking online education in the United States. Newburyport, MA: Sloan Consortium), and online course opportunities seem to be increasing. Thus, it is important to examine classroom management behaviors such as power and its impact on motivation to study and student learning outcomes. The purpose of this study is to partially replicate Richmond’s (1990) work in the online learning context. Based on the findings, practical implications are presented for online instructors.     

Social identification and academic performance: integrating two existing models of tertiary student learning

Recent research has mapped the ways social identification and normative influence affect students’ self-reported learning approaches and course experience, and also, the ways in which social identification and learning approach impact directly on grades. However, there is no evidence for a model incorporating both of these processes. The current paper aims to address this in a dataset drawn from a range of courses and disciplines at a mid-size Australian university. The data capture student demographics, social identification with the field of study, perceived learning norms and learning approaches, and examine how these map onto end of semester academic outcomes. Findings indicate support for the Bliuc identification-to-grade, through learning approach model. Further, we find support for the Smyth identification-by-norm moderation model of predicting learning approaches. Added to which, we find support for a combined moderated mediation model, where the identification–norm interaction moderates the indirect effect of identification predicting grades through learning approach. Implications for course design are discussed.     

A blended model: simultaneously teaching a quantitative course traditionally,online, and remotely

As universities seek to bolster enrollment through distance education, faculty are tasked with maintaining comparable teaching/learning standards in traditional, blended, and online courses. Research has shown that there is an achievement gap between students taking courses exclusively offered online versus those enrolled in face-to-face classes. In an effort to mitigate these observed differences, the School of Business faculty at the research institution investigated various course models to meet the needs of a diverse, non-traditional, and multifaceted student population. Ultimately, a blended course model for statistics and quantitative method courses was developed that allowed students to choose between online, remote (via interactive television), and traditional course delivery modes each week. This model is more flexible and agile than existing blended courses that have more static components. Multiple regression analysis, χ², and t-tests are used to demonstrate the efficacy of our model in maintaining student performance standards.