Technology, Lifelong Learning, and Lessons Learned: The Aftermath of COVID-19 Pandemic

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 13970

Special Issue Editor


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Guest Editor
Department of Educational Specialties, Northern Arizona University, 1899 S San Francisco St, Flagstaff, AZ 86011, USA
Interests: collaborative learning; contexts and methods of technology in adult education; technology planning and professional development.

Special Issue Information

Dear Colleagues,

The recent COVID-19 pandemic forced schools to move to emergency remote teaching (ERT) and the reliance on online learning. However, ERT does not necessarily mean online learning. Online learning employs well-planned learning experiences that take time to design and develop. ERT, on the other hand, is a temporary move to a different mode of instruction due to a sudden crisis (Hodge et al., 2020). Nonetheless, teachers at all levels used (even unconsciously) important theories of learning during this emergency: andragogy, self-directed learning, transformational learning (Merriam, 2001), Social Learning Theory (Bandura, 1971), and Connectivism (Siemens, 2005), among others, that were mediated by the use of technology. While the 2020 and 2021 years may be considered a loss in terms of student learning (Chen et al., 2021), faculty at all levels engaged with technology in ways that many of them could not imagine before. The use of Learning Management Systems (LMS), Artificial Intelligence in the form of intelligent tutors, Connectivism in the form of using online conferencing tools, and Virtual Reality to train future professionals, among others, were an everyday occurance and many of those tools will continue to be employed as the use of technology is giving access to a diverse set of learners who have mobility issues or live in remote areas (Hansen, et al., 2019). Given that teaching is a dialogue, learning is engagement, growth is discovery, and knowledge is application (Bryson, 2013), what are the lessons learned in the aftermath of COVID-19? What changes are here to stay? What will it be discarded from the faculty’s teaching repertoire? What forms of learning did faculty use to succeed in ERT? How has the global pandemic impacted lifelong learning when most adults (73%) already consider themselves lifelong learners and define themselves as being “personal learners” or “professional learners”? (Pew Research Center, 2016).

We invite novel and origingal research, reflections, and essays to this special issue that aims to answer the following questions:

  1. What promises does Artificial Intelligence (AI) hold for lifelong learning?
  2. How does and will technology mediate schooling at all levels?
  3. What are some lessons learned in terms of technology and lifelong learning in the context of teaching and learning?
  4. What specific skills are and will be needed to be a successful teacher now and the rest of this twenty first century?

This issue attempts to define the place that technology-mediated teaching and learning in the context of lifelong learning have in the present and future of our society, and what changes we need to start implementing now to build a more equitable society.

Bandura, A. (1971). Social learning theory. General Learning Coorporation. Library of Congress Catalog Card Number 75-170398.

Bryson, J. D. (2013). Engaging adult learners: Philosophy, principles and practices. Barrie, ON CA: Author.

Chen, L., Dorn, E. Sarakatsannis, J., & Wiesinger, A. (2021, March 1). Teacher survey: Learning loss is global – and significant. McKinsey & Company. https://www.mckinsey.com/industries/public-and-social-sector/our-insights/teacher-survey-learning-loss-is-global-and-significant

Hansen, R. J., Talmage, C. A., Thaxton, S. P., & Knopf, R. C. (2019) Enhancing older adult access to lifelong learning institutes through technology-based instruction: A brief report. Gerontology & Geriatrics Education. DOI: 10.1080/02701960.2019.1618852

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020, March 27). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning

Merriam, S. B. (2001). Something old, something new: Adult learning theory for the twenty-first century. New Directions for Adult & Continuing Education, 2001(89), 93-96. https://www.onlinelibrary.wiley.com/doi/epdf/10.1002/ace.12

Pew Research Center. (March, 2016). Lifelong Learning and Technology. https://www.pewresearch.org/internet/2016/03/22/lifelong-learning-and-technology/

Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1). http://www.itdl.org/

Prof. Dr. Laura Sujo-Montes
Guest Editors

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Keywords

  • COVID-19 Lessons Learned

  • Technology-mediated Teaching and Learning

  • Lifelong Learning

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Published Papers (3 papers)

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Research

9 pages, 246 KiB  
Article
Effect of COVID-19 Closures and Distance-Learning on Biology Research Projects of High School Students in Israel
by Reuven Yosef, Sigal Talker and Irit Sadeh
Educ. Sci. 2021, 11(11), 716; https://doi.org/10.3390/educsci11110716 - 8 Nov 2021
Cited by 4 | Viewed by 2297
Abstract
The COVID-19 pandemic has created a situation, the “anthropopause”, of lockdowns and distancing among individuals to reduce the spread of the disease. One of the major problems to surface is the inequality of the educational process in schools. We present a study of [...] Read more.
The COVID-19 pandemic has created a situation, the “anthropopause”, of lockdowns and distancing among individuals to reduce the spread of the disease. One of the major problems to surface is the inequality of the educational process in schools. We present a study of high school students who conduct a year-long research project with an academic. We hypothesized that the projects would not be impacted because of the individual manner of study involved. We analyzed the number of research proposals submitted in the years 2015–2021. We compared the data of the pre-epidemic period with the two pandemic years, 2020 and 2021. Our data show that in the years of the pandemic, significantly less research proposals were submitted, and the number of research proposals rejected was lower, but the total number of research proposals approved, or the number of theses submitted, was not significantly different. The research areas in which Israeli high school students conducted research were mostly in the laboratory (63.2%) and agriculture (27.5%), while ecology was relatively insignificant—whether in captivity (3.1%) or the field (5.1%). A new field that is fast becoming of interest is bioinformatics. Research in agriculture was significantly lower during the pandemic period, while there were no differences in the other subjects between the two periods. We conclude that the fewer research proposals submitted suggest that those that did not take the subject seriously enough did not begin the process. This resulted in a lower number of rejections and is substantiated by the fact that an equal number of students that submitted their final theses did not differ from the years before the pandemic. We are optimistic that the truly motivated students will continue to make the effort to be involved in biology science projects over and above their regular school curriculum and in spite of the COVID-19 restrictions and limitations. Full article
15 pages, 424 KiB  
Article
Administrative Perceptions Regarding Supervision of Online Teaching and Learning
by Michael Schwanenberger, Mary Dereshiwsky and Laura Sujo-Montes
Educ. Sci. 2021, 11(11), 674; https://doi.org/10.3390/educsci11110674 - 22 Oct 2021
Cited by 2 | Viewed by 3146
Abstract
Deans, associate deans, and department chairs in higher education institutions manage not only their departments’ course offerings but also faculty and students who teach and learn both in person and online. Possessing a good understanding of how to plan, supervise, and evaluate online [...] Read more.
Deans, associate deans, and department chairs in higher education institutions manage not only their departments’ course offerings but also faculty and students who teach and learn both in person and online. Possessing a good understanding of how to plan, supervise, and evaluate online degree programs for maximum efficiency, optimum student learning, and optimum faculty support is imperative for these professionals. The purpose of this study was to investigate administrators’ perceptions, attitudes, and experiences managing various online learning environments. A basic qualitative research design was applied to this study. Current and former administrators were invited to participate in individual in-depth interviews that were transcribed and analyzed for emerging themes. Results indicated that administrators need multiple levels of support, including supervisor’s support as well as instructional and technology support, among others. It is concluded that administrators find themselves in “a continuum” in terms of the need for different types of support. Implications for further research are discussed. Full article
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21 pages, 551 KiB  
Article
Assessment and Learning in Knowledge Spaces (ALEKS) Adaptive System Impact on Students’ Perception and Self-Regulated Learning Skills
by Hoda Harati, Laura Sujo-Montes, Chih-Hsiung Tu, Shadow J. W. Armfield and Cherng-Jyh Yen
Educ. Sci. 2021, 11(10), 603; https://doi.org/10.3390/educsci11100603 - 1 Oct 2021
Cited by 14 | Viewed by 7164
Abstract
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user’s model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other [...] Read more.
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user’s model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones adaptive technology offers, including the application of AI, psychology, psychometrics, machine learning, and providing a personalized learning environment. However, there are not many studies on its practicality, usefulness, improving students’ learning skills, students’ perception, etc., due to the limited number of institutes investing in this new technology. This paper presents the results of administering the newly developed Adaptive Self-regulated Learning Questionnaire (ASRQ) in an adaptive learning course equipped with the ALEKS (Assessment and Learning in Knowledge Spaces) system to study the amount of Self-regulated Learning Skills (SRL) score change, if any, of the students. The ASRQ was administered at the beginning and end of the semester as a pretest and posttest. Then, the quantitative Sample Paired t Test was run to measure the students’ SRL score change between the beginning and end of the semester. The results showed a significant decline in students’ SRL skills score while working with ALEKS. This paper also discusses the reasons for the considerable drop in SRL skills based on students’ perception and feedback collected through administering an open-ended survey at the end of the semester. The survey’s qualitative analysis showed various possible factors contributing to the decline of the SRL skills score, including lack of motivation, system complexity, hard penalty, lack of social presence, and lack of system practicality. Full article
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