Digital education strategies around the world: practices and policies

Gabriel, Florence; Marrone, Rebecca; Sebille, Ysabella Z.A. Van; Kovanović, Vitomir; Laat, Maarten de

doi:10.1080/03323315.2021.2022513

Cited by 39 publications

(22 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent decades have seen increasing interest in modernising and digitalising education, not least due to the global Covid-19 pandemic, which has made traditional teaching methods impossible for lengthy periods of time in many parts of the world (Hesse et al, 2021;Gabriel et al, 2022). Stakeholders encourage the application of the latest technology to improving teaching and education.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring

Bai

Stede

2022

Int J Artif Intell Educ

View full text Add to dashboard Cite

Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students’ work on the one hand and to promote effective self-tutoring on the other hand. In this paper, we present a survey of the latest ML approaches to the automated evaluation of students’ natural language free-text, including both short answers to questions and full essays. Existing systematic literature reviews on the subject often emphasise an exhaustive and methodical study selection process and do not provide much detail on individual studies or a technical background to the task. In contrast, we present an accessible survey of the current state-of-the-art in student free-text evaluation and target a wider audience that is not necessarily familiar with the task or with ML-based text analysis in natural language processing (NLP). We motivate and contextualise the task from an application perspective, illustrate popular feature-based and neural model architectures and present a selection of the latest work in the area. We also remark on trends and challenges in the field.

show abstract

Section: Introductionmentioning

confidence: 99%

A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring

Bai

Stede

2022

Int J Artif Intell Educ

View full text Add to dashboard Cite

show abstract

“…Often issues regarding a lack of resources or poor infrastructure are challenging for education systems to overcome. Some wealthier countries have adopted an online and open sharing response to support other nations implementing AI practices into curriculums (see Estonia and Singapore, for example) (Gabriel et al , 2022). These countries have developed lesson plans to support AI integration into classrooms and have made them free to access for all teachers around the globe.…”

Section: Discussionmentioning

confidence: 99%

Statistical modelling of the impact of online courses in higher education on sustainable development

Arango-Uribe

Barrera-Causil

Pallares

et al. 2022

IJSHE

Self Cite

View full text Add to dashboard Cite

Purpose The concept of sustainable development (SD) is a popular response to society’s need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is “education quality” (Fourth Goal of Sustainable Development [SDG-4]). Education quality is an important goal because education is a powerful force that can influence social policies and social change. The SDG-4 must be measured in different contexts, and the tools to quantify its effects require exploration. So, this study aims to propose a statistical model to measure the impact of higher education online courses on SD and a structural equation model (SEM) to find constructs or factors that help us explain a sustainability benefits rate. These proposed models integrate the three areas of sustainability: social, economic and environmental. Design/methodology/approach A beta regression model suggests features that include the academic and economic opportunities offered by the institution, the involvement in research activities and the quality of the online courses. A structural equation modelling (SEM) analysis allowed selecting the key variables and constructs that are strongly linked to the SD. Findings One of the key findings showed that the benefit provided by online courses in terms of SD is 62.99% higher than that of offline courses in aspects such as transportation, photocopies, printouts, books, food, clothing, enrolment fees and connectivity. Research limitations/implications The SEM model needs large sample sizes to have consistent estimations. Thus, despite the obtained estimations in the proposed SEM model being reliable, the authors consider that a limitation of this study was the required time to collect data corresponding to the estimated sample size. Originality/value This study proposes two novel and different ways to estimate the sustainability benefits rate focused on SDG-4, and machine learning tools are implemented to validate and gain robustness in the estimations of the beta model. Additionally, the SEM model allows us to identify new constructs associated with SDG-4.

show abstract

“…The effectiveness of digital educational technologies is usually evaluated by the following indicators: "improved and enhanced teaching and learning; digital maturation, including tackling the first and second digital divide; data-driven decision making and evidence-based education; and AI in education" (Gabriel et al, 2022).…”

Section: The Innovative Potential Of Digital Educationmentioning

confidence: 99%

Pedagogical innovations in Ukrainian educational institutions: social challenges and realities of war

Panchenko

Shynkarova

Maistryk

et al. 2022

Rev. Bras. Educ. Camp.

View full text Add to dashboard Cite

The article presents the issue and features of the innovative approach to the organization of the educational process in Ukrainian educational institutions in martial law. The following research methods were used: the analytical method, surveys, and qualitative and quantitative analysis of empirical data. The author’s understanding of innovative approaches, technology tools of teaching, innovative pedagogical activity, innovative culture, and teachers’ competence is characterized. Considerable attention is paid to the technologies of personality-oriented training and pedagogy of partnership. The experience of organizing distance learning for Ukrainian students in wartime, including the creation of special educational projects: online lessons, video lessons on YouTube and national television; International Ukrainian School (for temporarily displaced persons), All-Ukrainian Online School with the support of the Ministry of Education and Science of Ukraine. Emphasis is placed on the innovative potential of digital education to improve teaching/learning methods in various types of educational institutions, as well teachers’ different skills and ability to respond to societal challenges of technology, socio-economic and military-political situation in the country. The results of an empirical study covering 146 teachers and lecturers of educational institutions in Ukraine are presented. The effectiveness of digital education has been proved, as well as the necessity to improve organizational and methodological tools, forms of work of teachers and students to develop critical thinking, skills of dialogic learning, project work in a team, inquiry-based learning, etc. The necessity to use the latest digital tools to realize the creative potential of teachers in their professional activities is emphasized.

show abstract

Digital education strategies around the world: practices and policies

Cited by 39 publications

References 27 publications

A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring

A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring

Statistical modelling of the impact of online courses in higher education on sustainable development

Pedagogical innovations in Ukrainian educational institutions: social challenges and realities of war

Contact Info

Product

Resources

About