scholarly journals Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Christothea Herodotou ◽  
Bart Rienties ◽  
Barry Verdin ◽  
Avinash Boroowa
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Learning Analytics ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Successful Implementation ◽  
Students At Risk ◽  
Educational Stakeholders ◽  
Predictive Learning

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLA. This paper presents an “at scale” implementation of PLA at a distance learning higher education institution and details, in particular, the perspectives of 20 educational managers involved in the implementation. It concludes with a set of recommendations about how best to adopt and apply large-scale PLA initiatives in higher education.

scholarly journals Higher Education Stakeholders’ Views on Learning Analytics Policy Recommendations for Supporting Study Success

2019 ◽  
Vol 1 (1) ◽  
pp. 28 ◽  
Author(s):  
Dirk Ifenthaler ◽  
Jane Yin-Kim Yau
Keyword(s):  
Higher Education ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Research Question ◽  
Successful Implementation ◽  
Policy Recommendations ◽  
Study Success ◽  
Main Research ◽  
Success In Higher Education ◽  
Education Stakeholders

<p class="0abstract"><span lang="EN-AU">Learning analytics show promise to support study success in higher education. Hence, they are increasingly adopted in higher education institutions. This study examines higher education experts’ views on learning analytics utilisation to support study success. Our main research question was to investigate how ready higher education institutions are to adopt learning analytics. We derived policy recommendations from an international systematic review of the last five years of learning analytics research. Due to the lack of rigorous learning analytics research and adoption in Germany, this study focusses on the German university context and examines how ready German university stakeholders are to adopt learning analytics. In order to validate the policy recommendations, we conducted an interview study from June to August 2018 with 37 German higher education stakeholders. The majority of participants stated that their institutions required further resources in order to adopt learning analytics but were able to identify what these resources were in order for successful implementation.</span></p>

scholarly journals Predictive learning analytics and the creation of emotionally adaptive learning environments in higher education institutions: a study of students' affect responses

2021 ◽  
Vol 38 (2) ◽  
pp. 243-257
Author(s):  
Paul Joseph-Richard ◽  
James Uhomoibhi ◽  
Andrew Jaffrey
Keyword(s):  
Higher Education ◽  
At Risk ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Well Being ◽  
Small Sample ◽  
Small Scale ◽  
Affective States ◽  
Content Type ◽  
Predictive Learning

PurposeThe aims of this study are to examine affective responses of university students when viewing their own predictive learning analytics (PLA) dashboards, and to analyse how those responses are perceived to affect their self-regulated learning behaviour.Design/methodology/approachA total of 42 Northern Irish students were shown their own predicted status of academic achievement on a dashboard. A list of emotions along with definitions was provided and the respondents were instructed to verbalise them during the experience. Post-hoc walk-through conversations with participants further clarified their responses. Content analysis methods were used to categorise response patterns.FindingsThere is a significant variation in ways students respond to the predictions: they were curious and motivated, comforted and sceptical, confused and fearful and not interested and doubting the accuracy of predictions. The authors show that not all PLA-triggered affective states motivate students to act in desirable and productive ways.Research limitations/implicationsThis small-scale exploratory study was conducted in one higher education institution with a relatively small sample of students in one discipline. In addition to the many different categories of students included in the study, specific efforts were made to include “at-risk” students. However, none responded. A larger sample from a multi-disciplinary background that includes those who are categorised as “at-risk” could further enhance the understanding.Practical implicationsThe authors provide mixed evidence for students' openness to learn from predictive learning analytics scores. The implications of our study are not straightforward, except to proceed with caution, valuing benefits while ensuring that students' emotional well-being is protected through a mindful implementation of PLA systems.Social implicationsUnderstanding students' affect responses contributes to the quality of student support in higher education institutions. In the current era on online learning and increasing adaptation to living and learning online, the findings allow for the development of appropriate strategies for implementing affect-aware predictive learning analytics (PLA) systems.Originality/valueThe current study is unique in its research context, and in its examination of immediate affective states experienced by students who viewed their predicted scores, based on their own dynamic learning data, in their home institution. It brings out the complexities involved in implementing student-facing PLA dashboards in higher education institutions.

scholarly journals COVID-19: ПРОБЛЕМИ ТА ПЕРСПЕКТИВИ ІНТЕРНАЦІОНАЛІЗАЦІЇ ЗВО

2020 ◽  
Vol 147 (3) ◽  
pp. 11-22
Author(s):  
Іван Михайлович Грищенко ◽  
Олена Павлівна Кизимчук ◽  
Олег Олександрович Шевченко
Keyword(s):  
Higher Education ◽  
Large Scale ◽  
Online Courses ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Critical Element ◽  
Academic Mobility ◽  
Depth Analysis ◽  
Virtual Mobility ◽  
Research Findings

The article seeks to discuss the issues of internationalization for higher education institutions that arose with the COVID-19 coronavirus pandemic, in particular, the suspension of both student and staff academic mobility. However, academic mobility is the fundamental premise for the internationalization of higher education where students who cross borders with the desire to change their lives and the strive for better prospects are the most critical element of this mobility. The mobility of all the education process participants has become an important driver in ensuring and promoting education transparency and the access to quality education for everyone. In fact, within the past six months, prospective students are increasingly changing their intentions to study abroad, or defer their enrolment plans for subsequent years. The aim of this paper is to explore possible solutions for further implementation of internationalization principles into all university's activities framework under the quarantine and post-quarantine period. The research findings from the in-depth analysis of a range of higher education institution performances have revealed that one of the most promising areas to enhance university internationalization is a shift from actual to virtual mobility which is based on communication within the information and educational environment. In particular, the design of new competitive online courses in English and their large-scale promotion on the international market is another priority objective for internationalization during the quarantine. Apparently, University positioning in a virtual environment is a crucial factor to build attractiveness and competitiveness of higher education institutions in the global settings.

scholarly journals A large-scale implementation of predictive learning analytics in higher education: the teachers’ role and perspective

2019 ◽  
Vol 67 (5) ◽  
pp. 1273-1306 ◽  
Author(s):  
Christothea Herodotou ◽  
Bart Rienties ◽  
Avinash Boroowa ◽  
Zdenek Zdrahal ◽  
Martin Hlosta
Keyword(s):  
Higher Education ◽  
Learning Analytics ◽  
Large Scale ◽  
Predictive Learning

scholarly journals РИЗИКИ СОЦІАЛЬНО-ЕКОНОМІЧНОЇ ВІДПОВІДАЛЬНОСТІ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ В УМОВАХ ГЛОБАЛЬНИХ СТРУКТУРНИХ ВИКЛИКІВ ПАНДЕМІЇ COVID-19

2021 ◽  
Vol 151 (5) ◽  
pp. 8-18
Author(s):  
Валентина В. Яценко
Keyword(s):  
Higher Education ◽  
Cluster Analysis ◽  
Distance Learning ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Academic Staff ◽  
Learning Performance ◽  
Risk Indicators ◽  
And Cluster Analysis ◽  
Economic Responsibility

The article seeks to explore the effects posed by the COVID-19 pandemic that triggered a global crisis in the area of education followed by drastic disruptions in the educational framework. However, a large-scale shift to distance learning via online platforms has mitigated the collapse risks in higher education and training. An emphasis is put that universities turned up almost ready for transition to remote learning in the COVID-19 settings. The research hypothesis is the statement that the implementation of monitoring of the actual level of e-learning performance and responsibility of higher education institutions enables timely response to the possible pandemic outbreaks and prompt actions to combat its severe consequences. The aim of the study is to identify risks of socio-economic responsibility for higher education institutions in the context of global structural challenges of the COVID-19 pandemic. To attain the research agenda, the following methods have been employed: factor and cluster analysis, taxonomy method, and the dendrogram technique. The factor analysis revealed the key risk indicators; the cluster analysis identified 4 clusters which group the HEIs by the degree of distance learning performance and their responsibility; the dendrogram and taxonomy approaches facilitated visualizing of the actual and acceptable low distance learning performance and the degree of responsibility in HEIs. The results of processing the online reporting of 50 higher education institutions from the "Top 200 Ukraine" ranking over 2015–2020 and the results of academic staff and student questionnaires on the Google forms platform revealed 2 groups of risk indicators for socio-economic responsibility and 4 risk clusters for higher education institutions. The highest number of the universities under study (54% (27 out of 50)) refer to Cluster 3 with low level of distance learning performance and low degree of university responsibility. The dendrogram-based visualization of the results obtained has allowed to assess the current and boundary levels of distance learning performance and responsibility in the settings of COVID-19 pandemic. In case of deterioration of epidemic situation, the monitoring of distance learning components at higher education institutions provides for making appropriate adjustments as well as contributes to developing and implementing a strategy to enhance the University economic performance and its social responsibility in the area of distance learning at under the COVID-19 pandemic.

scholarly journals Covid-19 as an Accelerator for Training and Technology Adoption by Academics in Large-Scale Open and Distance Learning Institutions in Africa

2021 ◽  
Author(s):  
Mphoentle Puleng Modise ◽  
Geesje Van den Berg
Keyword(s):  
Higher Education ◽  
Professional Development ◽  
Distance Learning ◽  
Technology Adoption ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Open And Distance Learning ◽  
Learning Institutions ◽  
And Training ◽  
The Way

The Covid-19 pandemic provoked a paradigm shift never imagined by higher education institutions in the world, but especially in developing countries. Drawing on findings from a PhD study, this article aims to highlight the way in which Covid-19 accelerated professional development and training and technology adoption by academics in higher education institutions and large-scale open and distance learning institutions in Africa. A total of 20 academics and relevant stakeholders from two of Africa’s largest open and distance learning institutions were interviewed, and their views are reported. The data were analysed using thematic analysis. The findings show an increase in training and professional development of academics during the pandemic. The study also reveals the way in which Covid-19 fostered the speed and ease with which technology was adopted and used by academics for teaching and learning. The results of this research study may contribute to research of various topics on technology adoption and academics’ professional development and training and future approaches post-Covid-19.

scholarly journals Specifics of Distance Learning in the Modern Ukrainian Educational Space: Practices of the Higher Education Institutions of Ukraine

2021 ◽  
Vol 7 (3) ◽  
pp. 29-38
Author(s):  
Iryna S. Sahaidak ◽  
Tetiana M. Chorna ◽  
Olena O. Balahura ◽  
Valentyna P. Bykhovchenko
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Technology Development ◽  
Higher Education Institutions ◽  
Optimal Solution ◽  
Education Institution ◽  
Practical Experience ◽  
Educational Process ◽  
Online Questionnaire ◽  
National University

Quarantine restrictions have increased the relevance of distance learning, and the level of information and communication technology development has made it possible for the Higher Education Institutions (HEIs) to switch to online mode, this being the optimal solution amid the pandemic. The object of this paper is to analyse the practical aspects of distance learning under quarantine and to identify the key factors affecting its efficiency. The assessment of the distant technologies use during the educational process and its efficiency was carried out by means of anonymous online questionnaire survey of the students from 4 higher education institutions: University of the State Fiscal Service of Ukraine, National Transport University, National University of Life and Environmental Sciences of Ukraine and Separated structural subdivision of the Kyiv College of Municipal Economy of The V.I. Vernadsky Taurida National University. The research has revealed the level of technical provision for distance learning; the level and practical experience of using distance technologies by the participants of the educational process was determined; the behavioural factors (students’ attendance and teachers’ adherence to the class schedule and thematic outlines) were examined; motivational factors of students’ learning online were analysed; the most significant benefits of distance learning were examined; the higher education students’ attitude to the blended and distance forms of learning was determined. It has been substantiated that distance learning organisation in the institution based on a single shared platform is a prerequisite for ensuring a highly effective online learning process. The practical value of the paper lies in the application of the survey results to enhance and increase the distance learning efficiency at the higher education institution level

Subsystems for functional support of organizational and economic mechanism of management of art higher education institutions

2021 ◽  
pp. 149-165
Author(s):  
Yaroslav Martynyshyn ◽  
Oksana Feicher
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Weak Links ◽  
Successful Implementation ◽  
Higher Education Institution ◽  
Financial Investment ◽  
Economic Mechanism ◽  
Business Entities ◽  
Functional Support

The purpose of the article is to identify and substantiate the priority subsystems of functional support of the organizational and economic mechanism of management of art higher education institutions in Ukraine with the further development of alternative management solutions for their successful implementation. The research methodology includes fundamental provisions of economic theory and management, basic laws of development of European educational systems, publications of domestic and foreign researchers on the construction of subsystems of functional support of organizational and economic mechanism of management of higher education institutions. The scientific novelty lies in the identification and substantiation of key subsystems for ensuring the functioning of the organizational and economic mechanism, taking into account foreign experience in building an appropriate mechanism for managing art institutions. Conclusions. According to the results of the study, it is concluded that the art higher education institution is a system of interconnected structural elements that respond differently to the transformation of the modern market environment. Among the key subsystems of functional support, there are singled out material-technical, personnel, financial-investment, normative-legal, information-digital and scientific-innovative ones. Their weak links in the context of ensuring the activities of the domestic university sector with the subsequent presentation of alternative algorithms for management decisions have been identified. The urgent need to deepen comprehensive cooperation with business entities and representatives of the international educational and scientific environment was emphasized. Keywords: subsystems for functional support; organizational and economic mechanism; higher education management; art higher education institution; educational services market; European integration; digitalization; globalization transformations.

scholarly journals Ways of model implementation of student youth healthy lifestyle formation by means of physical culture in higher education institutions

2019 ◽  
Vol 65 (2) ◽  
pp. 11-15
Author(s):  
Oksana Adamenko ◽  
Olga Lytvynenko ◽  
Natalia Boretska
Keyword(s):  
Higher Education ◽  
Physical Education ◽  
Large Scale ◽  
Healthy Lifestyle ◽  
Higher Education Institutions ◽  
Research Work ◽  
Education Institution ◽  
Physical Culture ◽  
Structural Components ◽  
National University

The formation of a healthy lifestyle through education, the creation of health saving educational environment is one of the priorities of the state policy in the field of education. Higher education institutions are the most effective institutions for the formation of a healthy lifestyle and health culture of student youth. As they are trying to use their opportunities in the direction of harmonious development of psychophysical abilities of young people. The directions concerning health saving and formation of student youth healthy lifestyle are described. These include conducting and publishing annual monitoring studies on the health status of student youth and the spread of negative phenomena in the youth environment; improvement of the regulatory framework; development of scientific and methodological activities; intensifying the participation of student youth, communities and volunteers in the formation of a healthy lifestyle; a large-scale information campaign on promoting healthy lifestyles. The structural components of the model of student youth healthy lifestyle formation are revealed, including the following ones content, motivational and activity. The structural components of the model of formation of a healthy lifestyle of student youth in the conditions of a higher education institution, namely: content, motivational and activity, are revealed. Implementation of structural components is carried out through research work, educational activities, orientation of student youth to lead a healthy lifestyle and prevent harmful habits. The article investigates the ways of model implementation of student youth healthy lifestyle formation by means of physical culture in higher education institutions on the example of the faculty of physical culture and sports of the Mykolaiv V.O. Sukhomlynskyi National University The analysis of scientific and pedagogical, psychological, medical literature and literature on the theory of physical education gives grounds to assert that a healthy lifestyle of student youth is not only a social problem, but is an indicator of the general culture of man. Implementation of healthcare-saving pedagogical technologies begins with students, especially in institutions of higher education in pedagogical direction. It is from educators that the conscious attitude of the younger generation towards their own health, the formation of a culture of health and healthcare preserves. The prospects for further research will be to determine the effectiveness of the proposed model for the formation of the values of a healthy lifestyle in the process of physical education of student youth.

scholarly journals Models for Administration to Ensure the Successful Transition to Distance Learning during the Pandemic

2021 ◽  
Vol 13 (9) ◽  
pp. 4751
Author(s):  
Vacius Jusas ◽  
Rita Butkiene ◽  
Algimantas Venčkauskas ◽  
Renata Burbaite ◽  
Daina Gudoniene ◽  
...  
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Virtual Learning Environment ◽  
Remote Work ◽  
Design Development ◽  
Higher Education Institution ◽  
Data Collection Instrument ◽  
Learning Competencies

Lack of guidelines for implementing distance learning, lack of infrastructure, lack of competencies, and security-related problems were the challenges met during the pandemic. These challenges firstly fall on the administration of a higher education institution. To assist in solving the challenges of the pandemic for the administration of a higher education institution, the paper presents several models for the organization of the processes of distance learning. These models are as follows: a conceptual model of distance learning, a model of strategic planning of distance learning, a model of the assessment before the start of distance learning, a model of the preparation for distance learning, and a model of the process of distance learning and remote work. Student profile, lecturer profile, organizational environment, assessment, and planning of the infrastructure of information and communication technology (ICT), assessment and planning of the virtual learning environment, and assessment of distance learning competencies of participants of the study process are also considered. The developed models are based on five main processes of instructional design, i.e., analysis, design, development, implementation, and evaluation. The models provide guidelines for the administration of higher education institutions on the preparation and delivery of distance learning during the pandemic. The models were validated by 10 experts from different higher education institutions. The feasibility of the data collection instrument was determined by Cronbach’s alpha coefficient that is above 0.9.

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