scholarly journals Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review

2016 ◽  
Vol 20 (2) ◽  
Author(s):  
Sandra Nunn ◽  
John T. Avella ◽  
Therese Kanai ◽  
Mansureh Kebritchi
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Educational Data Mining ◽  
Student Learning Outcomes ◽  
Comprehensive Overview ◽  
Data Tracking ◽  
Privacy Issues ◽  
Analyze Data

Higher education for the 21st century continues to promote discoveries in the field through learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators’ attention from clearly identifying requirements and implications of using LA in higher education. LA is a promising emerging field, yet higher education stakeholders need to become further familiar with issues related to the use of LA in higher education. Few studies have synthesized previous studies to provide an overview of LA issues in higher education. To address the problem, a systemic literature review was conducted to provide an overview of methods, benefits, and challenges of using LA in higher education. The literature review revealed that LA uses various methods including visual data analysis techniques, social network analysis, semantic, and educational data mining including prediction, clustering, relationship mining, discovery with models, and separation of data for human judgment to analyze data. The benefits include targeted course offerings, curriculum development, student learning outcomes, behavior and process, personalized learning, improved instructor performance, post-educational employment opportunities, and enhanced research in the field of education. Challenges include issues related to data tracking, collection, evaluation, analysis; lack of connection to learning sciences; optimizing learning environments, and ethical and privacy issues. Such a comprehensive overview provides an integrative report for faculty, course developers, and administrators about methods, benefits, and challenges of LA so that they may apply LA more effectively to improve teaching and learning in higher education.

Traditional Versus Digital Assessment Methods

2020 ◽  
pp. 20-34
Author(s):  
Begüm Çubukçuoğlu Devran ◽  
Alev Elçi
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Digital Technologies ◽  
Assessment Methods ◽  
Advantages And Disadvantages ◽  
Digital Assessment ◽  
Technology Changes

Higher education has focused on adopting emerging digital technologies for teaching and learning in recent years. Regarding the technology changes in empowering skills of students, assessment in teaching and learning started to evolve from traditional to more alternative and finally to digital assessment. For example, augmented reality and learning analytics are becoming more popular in assessments. After a comprehensive literature review, this chapter explains the types of digital assessment methods, their advantages, and disadvantages for both faculty and learners. The role of faculty and needs for faculty development are put forward.

Exploring the benefits and challenges of learning analytics in higher education institutions: a systematic literature review

2019 ◽  
Vol 47 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Shahira El Alfy ◽  
Jorge Marx Gómez ◽  
Anita Dani
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Higher Education Institutions ◽  
Critical Role ◽  
Systematic Research ◽  
Content Type ◽  
Research Questions

Purpose The potential capabilities and benefits that learning analytics can provide are not fully utilized. A current stream of research suggests that learning analytics has more to offer for continuous improvement of higher education institutions. This study aims to explore the opportunities that data analytics stand to offer higher education and the challenges that plays down its role, adoption and usage in different areas of higher education institutions. Design/methodology/approach This study adopts a systematic literature review approach in answering the research questions. The critical role of learning analytics and the exploratory nature of research questions justify the use of systematic literature review. The current study used systematic research process adapted and presented by Hallinger (2013) to be used in social sciences in general and in educational leadership and management in particular. A standard process of finding relevant articles and examining reference lists is followed using articles from higher education which is the research context. Findings An examination of the literature showed that the majority of studies within the sample of articles are empirical representing 53 per cent, 32 per cent are conceptual, while only 15 per cent of the articles are a systematic literature review. Results also show that 58 per cent of the articles are teaching and learning related, 34 per cent are management related, while only 8 per cent are research related. Several challenges and opportunities of learning analytics in the three areas highlighted are presented and discussed. Originality/value The benefits and challenges of learning analytics are numerous and scattered in the literature. In this study, a typology related to different educational domains is developed to shed light on the benefits and challenges of learning analytics within particular higher education areas that are relevant to specific stakeholders. Benefits and challenges of learning analytics are classified into being management related, teaching and learning related and research related.

Applied Areas of Three Dimensional Virtual Worlds in Learning and Teaching

2019 ◽  
pp. 172-192
Author(s):  
Reza Ghanbarzadeh ◽  
Amir Hossein Ghapanchi
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Virtual Environments ◽  
Systematic Literature Review ◽  
Virtual Worlds ◽  
Second Life ◽  
Teaching And Learning ◽  
Three Dimensional ◽  
Educational Goals ◽  
Learning And Teaching

Three Dimensional Virtual Worlds (3DVW) have been substantially adopted in educational and pedagogical fields worldwide. The current study conducted a systematic literature review of the published research relevant to the application of 3DVWs in higher education. A literature search was performed in eight high-ranking databases, and following scrutiny according to inclusion criteria, 164 papers were selected for review. The systematic literature review process was summarized, reviews undertaken by the authors, and results about the applicability of 3DVWs in higher education were extracted. A wide variety of application areas for the 3DVWs in higher education were found, and were classified into five main categories. Various 3DVW platforms and virtual environments used for educational goals were also identified. The results revealed Second Life as the most popular 3DVW platform in higher education. This study also found that by using 3DVW technology a wide range of virtual environments and virtual tools have been designed and applied in teaching and learning for higher education.

Educational Data Mining Techniques and Applications

2021 ◽  
pp. 234-251
Author(s):  
M. Govindarajan
Keyword(s):  
Data Mining ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
At Risk Students ◽  
Educational Data Mining ◽  
Learning Needs ◽  
Institutional Performance ◽  
Clear Cut ◽  
Curriculum Renewal ◽  
Improving Teaching And Learning

Educational data mining (EDM) creates high impact in the field of academic domain. EDM is concerned with developing new methods to discover knowledge from educational and academic database and can be used for decision making in educational and academic systems. EDM is useful in many different areas including identifying at risk students, identifying priority learning needs for different groups of students, increasing graduation rates, effectively assessing institutional performance, maximizing campus resources, and optimizing subject curriculum renewal. This chapter discusses educational data mining, its applications, and techniques that have to be adopted in order to successfully employ educational data mining and learning analytics for improving teaching and learning. The techniques and applications discussed in this chapter will provide a clear-cut idea to the educational data mining researchers to carry out their work in this field.

Exploration of Employability Skills in Business Management Studies Within Higher Education Levels

2020 ◽  
Vol 9 (1) ◽  
pp. 52-69
Author(s):  
Husam Helmi Alharahsheh ◽  
Abraham Pius
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Teaching And Learning ◽  
Business Management ◽  
Collective Responsibility ◽  
Employability Skills ◽  
Knowledge Based ◽  
Education Levels ◽  
The Uk ◽  
The Way

Higher education in the United Kingdom is becoming more responsible to focus beyond teaching and learning process; this is evolving to further reflect the needs of the marketplace, engagement with firms within the industry, responsibility to enhance talent, and to close the skills gap to prepare students for employment opportunities during studies and after graduation. The purpose of this study is to provide the key employability skills in business management studies within higher education with further focus on the UK as one of the leading Western and knowledge-based economies through a systematic literature review process. The study also aims to highlight employability skills reported in the selected studies by categorising them into three main categories: very common employability skills required, common employability skills required, and uncommon employability skills required. However, throughout the studies included in the review, focus on specific skills varied due to the way researchers assessed as well as external factors taken into consideration such as cultural differences, external environment changes, the type of educational institutions, and the way curriculum was delivered, as well as the variations of specific interests of employers from a sector to another. The review is organised in six key sections: Introduction, Literature Review, Methodology, Results and Analysis, Discussion, and lastly, Conclusion and Implications. The reported employability skills resulted in the review can be taken into consideration to further enhance understanding of how employability skills can be embedded into curriculum within business management schools in the UK and other organisations that are responsible for articulation of employment related policies for students and recent graduates. The review can also establish that enhancement of employability skills should be a collective responsibility including universities, employers, policymakers, and students to ensure that educational outcomes are meeting the needs of the market. Higher education providers should aim to close the gap of employability by the point of graduation stage and to be ready to compete in the overcrowded labour market.

Integration of Web-Based Learning into Higher Education Institutions in Uganda

2018 ◽  
Vol 13 (3) ◽  
pp. 33-50
Author(s):  
Baguma Asuman ◽  
Md. Shahadat Hossain Khan ◽  
Che Kum Clement
Keyword(s):  
Social Sciences ◽  
Higher Education ◽  
Teaching And Learning ◽  
Educational Institutions ◽  
Web Based ◽  
Web Based Learning ◽  
Learning Contexts ◽  
New Knowledge ◽  
Quantitative And Qualitative Methods ◽  
Analyze Data

This article reports on the barriers encountered by teachers and the possible solutions to the integration of web-based learning (WBL) into higher educational institutions in Uganda. A total of 50 teachers in the departments of ICT, management, and social sciences from five different universities were purposively selected. A self-designed questionnaire was adapted to collect participants responses. Both quantitative and qualitative methods were used to analyze data. The findings indicate that teachers had a positive attitude to incorporate WBL into teaching and learning process, but they encountered some difficulties which were identified as slow internet speeds, insufficient web-based tools, lack of technical support, etc. It further identified possible enablers to overcome these difficulties and provides empirical evidence of incorporating new knowledge in the existing literature. It also provides recommendations in terms of overcoming difficulties to enhance and incorporate WBL in teaching and learning contexts of higher education in Uganda particularly and developing countries in general

scholarly journals Designing a learning analytics dashboard for Twitter-facilitated teaching

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Nadia Conroy
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Best Practices ◽  
Informal Learning ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Online Survey ◽  
Teaching Practice ◽  
Formal And Informal Learning ◽  
Course Material

Social media sites are increasingly being adopted to support teaching practice in higher education. Learning Analytics (LA) dashboards can be used to reveal how students engage with course material and others in the class. However, research on the best practices of designing, developing, and evaluating such dashboards to support teaching and learning with social media has been limited. Considering the increasing use of Twitter for both formal and informal learning processes, this paper presents our design process and a LA prototype dashboard developed based on a comprehensive literature review and an online survey among 54 higher education instructors who have used Twitter in their teaching. Keywords : Learning analytics, teaching, dashboards, survey

scholarly journals Teaching and learning research in higher education in Colombia: a literature review

2019 ◽  
Vol 3 (2) ◽  
pp. 10
Author(s):  
Alison Kay Reedy ◽  
María Lucía Guerrero Farías
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Teaching And Learning ◽  
The South ◽  
Learning And Teaching ◽  
Creative Commons ◽  
Teaching And Learning Research ◽  
Global North ◽  
Learning Research ◽  
Nature Of Teaching

This paper presents a systematic review of the extent and nature of teaching and learning research in higher education in Colombia over the past two decades and shines light on a body of literature from the South that has been relatively invisible on the global stage. The study found that the volume of SOTL taking place in higher education in Colombia is greater than indicated by previous research, but is taking place unevenly across the higher education landscape. This paper explores the challenges faced by Colombian scholars in engaging in and publishing teaching and learning research. The findings show that while teaching and learning research is happening in higher education in Colombia there are major issues in identifying and locating that research due to a lack of consistent terminology to describe SOTL. The findings also show that the nature of research emerging from Colombia is highly aligned with the global North in terms of methods, methodologies and themes. This paper concludes with recommendations on how to make Colombian learning and teaching research more visible and to reflect to a greater extent the diversity and richness in teaching and learning that takes places in Colombia.   How to cite this article:  REEDY, Alison Kay; GUERRERO FARÍAS; María Lucía. Teaching and learning research in higher education in Colombia: a literature review. Scholarship of Teaching and Learning in the South. v. 3, n. 2, p. 10-30, Sept. 2019. Available at: https://sotl-south-journal.net/?journal=sotls&page=article&op=view&path%5B%5D=113&path%5B%5D=44  This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

scholarly journals Privacy concerns in educational data mining and learning analytics

2020 ◽  
Vol 28 ◽  
Author(s):  
Isak Potgieter
Keyword(s):  
Data Mining ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Educational Data Mining ◽  
Analysis Data ◽  
Privacy Concerns ◽  
Ethical Implications ◽  
Individual Privacy ◽  
Future Of Education ◽  
The Impact

Education at all levels is increasingly augmented and enhanced by data mining and analytics, catalysed by the growing prevalence of automated distance learning. With an unprecedented capacity to scale both horizontally (individuals reached) and vertically (level of analysis), data mining and analytics are set to be a transformative part of the future of education. We reflect on the assumptions behind data mining and the potential consequences of learning analytics, with reference to an issue brief prepared for the U.S. Department of Education entitled Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics. We argue that the associated gains conceal subtle, but important risks. Data-ism, an underpinning paradigm, assigns unjustified veracity to data-driven science and the application of personalised analytics may compromise individual privacy, agency and inventiveness. This holds serious ethical implications, particularly when considering the impact on minors, rendering wholesale adoption premature.

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