Educational Technology’s Influence in Higher Education Teaching and Learning—Series 2

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 3899

Special Issue Editor


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Guest Editor
School of Psychology, University of Liverpool, Liverpool L69 3BX, UK
Interests: learning technology; technology-enhanced learning; blended learning; active learning; collaborative learning; hybrid learning; curriculum design; virtual learning environments; virtual simulations; online assessments; cyberpsychology
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Special Issue Information

Dear Colleagues,

New horizons are currently open on blended, hybrid, or distance learning due to the implications of the COVID-19 pandemic and the development of technology in Artificial Intelligence (AI) and Virtual Reality (VR) in Higher Education. For example, the COVID-19 pandemic has forced everyone to change or reconsider how technology could be used to overcome isolation restrictions, making blended learning a new norm for many universities. AI and VR technologies could also support new directions for student engagement, active learning, assessment, and feedback. Thus, COVID-19 teaching and learning disruptions and new technological developments have led university teachers to re-design, reshape, and explore new alternative and innovative teaching and pedagogical approaches, providing opportunities for knowledge construction and flexible learning.

This current Special Issue II in Technology-Enhanced Learning (TEL) aims to present practice examples implemented after the COVID-19 pandemic and introduce how digital education could be affected by AI and VR technologies in Higher Education, discussing the relevant opportunities and challenges. This Special Issue also includes examples of how new, updated, or revised curriculum and/or Technology-Enhanced Learning (TEL) frameworks can transform the "traditional" into digital Higher Education, thus enhancing student engagement, motivation, and/or assessment and feedback.

The previous Special Issue I in this area presented successful practice examples from before or during the COVID-19 pandemic and provided useful information to university teachers to assist them in further understanding the higher education context, demands, and challenges of digital education. 

The rapid teaching and learning change in Higher Education, the reshaping curriculum demands, the 21st-century digital competence challenges and learning technology developments are only some of the areas that may be influenced by the COVID-19 pandemic and the AI and VR technologies, and they will be bound to stay with us. All these areas make it crucial for Higher Education teachers, educational researchers, and learning technologists to consider teaching and learning from the perspectives of digital education and innovation providing equal learning opportunities to everyone.

Dr. Maria Limniou
Guest Editor

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Keywords

  • technology-enhanced learning
  • higher education
  • curriculum design
  • digital education
  • student engagement
  • digital assessment and feedback
  • artificial intelligence (AI)
  • virtual reality (VR)
  • blended learning
  • hybrid learning
  • distance learning
  • learning approaches

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Published Papers (2 papers)

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12 pages, 242 KiB  
Article
Knowledge, Attitude, and Practices toward Artificial Intelligence among University Students in Lebanon
by Samer A. Kharroubi, Iman Tannir, Rasha Abu El Hassan and Rouba Ballout
Educ. Sci. 2024, 14(8), 863; https://doi.org/10.3390/educsci14080863 - 9 Aug 2024
Viewed by 1862
Abstract
Background: The expansion of artificial intelligence (AI) across diverse sectors worldwide demands an understanding of its impact on future generations. The studies of its influence on university students’ behavior and application in Lebanon are still limited. The present study aimed to explore the [...] Read more.
Background: The expansion of artificial intelligence (AI) across diverse sectors worldwide demands an understanding of its impact on future generations. The studies of its influence on university students’ behavior and application in Lebanon are still limited. The present study aimed to explore the knowledge, attitudes, and practices (KAPs) of university students regarding AI and to identify factors affecting these dimensions. Methods: An online questionnaire (n = 457) was distributed to university students who were at least 18 years of age across Lebanon. Results: The results revealed that a significant majority (97.2%) of the participants were familiar with AI, from which 43% demonstrated a high level of knowledge. Furthermore, attitude toward AI role and integration in academic and professional paths was moderately satisfactory (43%), although it was reportedly used by 75% of students throughout their university years. There was a significant association between knowledge levels and sociodemographic factors such as age, sex, source of AI-related information, and knowledge rating (p < 0.05), whereas the academic major and knowledge rating affected attitudes toward AI (p < 0.05). Conclusion: These findings support the incorporation of AI education within the curriculum to increase acceptance of AI as a modern tool enhancing various sectors and serving as a facilitator for teaching and learning processes. Full article

Other

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14 pages, 1097 KiB  
Project Report
Using Technology-Supported Approaches for the Development of Technical Skills Outside of the Classroom
by Sarah L. McKernon, Elliot A. Adderton and Luke J. Dawson
Educ. Sci. 2024, 14(3), 329; https://doi.org/10.3390/educsci14030329 - 20 Mar 2024
Viewed by 1173
Abstract
The COVID-19 pandemic, and the subsequent lockdown, had a significant and disproportionate impact on subjects that required the development of clinical technical skills due to the lack of access to simulation classrooms and patients. To directly address this impact, we developed a conceptual [...] Read more.
The COVID-19 pandemic, and the subsequent lockdown, had a significant and disproportionate impact on subjects that required the development of clinical technical skills due to the lack of access to simulation classrooms and patients. To directly address this impact, we developed a conceptual framework for the design and implementation of a progressive simulation approach from the perspective of a teacher. This conceptual framework integrates and draws from key theories of simulation design, curriculum integration, learner motivation, and considerations of the facets of good assessment, including modern approach validity. We used the conceptual framework to inform and develop a progressive simulation design to support the development of essential intra-oral suturing skills outside of the classroom, at home, while still being able to provide external feedback as if learners were in the classroom or clinic. Moreover, the approach described significantly extended the available opportunities for deliberate practice, assisting with the automation of essential skills and aiming to better support learner development during face-to-face patient opportunities. Although further work is needed, we believe that our conceptual framework could be applied to any situation where progressive simulation is seen as beneficial, especially if there are elements of key skills that could initially be developed using a simple take-home simulator. Full article
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