Information design and students’ assimilation after Covid-19

Authors

  • Andaleep Sadi Ades Umm Al-Qura University

Abstract

The learning strategies have changes after Covid-19. Online and self-learning method become the main axis of study. Information design is considered the important point in structuring studying materials. It illustrates data that has an objective and make it easier to understand. In addition, good information design help to capture the students’ attention which makes them spend longer time on studying without boredom. The aim of the study is to illustrating different tools and techniques that students can utilize within a classroom to promote successful assimilation of information design. The study examined 700 Saudi participants through Twitter and Facebook I 2021. The results reveal that the use of infographics to illustrate information on a graph, watching documentaries and videos promote better study results. Students intend to utilize Google to gather relevant data and information related to their field. The study contributes to educational experts to design affective, interactive and engagement methods in learning. The study provided large data to understand the approached that student prefer and intend to use during their study as well as the reasons behind that. Key words: Information design, students, assimilation, learning, education, Covid-19.

Author Biography

Andaleep Sadi Ades, Umm Al-Qura University

Department of media study, Faculty of Social Science, Umm Al-Qura University

References

Melo-Niño, L. V., & Mellado, V. (2017). Initial characterization of Colombian high school physics teachers' pedagogical content knowledge on electric fields. Research in Science Education, 47(1), 25-48.

Culp, R. (2020). Articulating citizenship: Civic education and student politics in Southeastern China, 1912–1940. Brill.

Brand, B. R. (2020). Integrating science and engineering practices: outcomes from a collaborative professional development. International Journal of STEM Education, 7(1), 1-13.

Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2020). The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Education, 15(2), 5.

Rao, A. R. (2020). Interventions for Promoting Student Engagement and Predicting Performance in an Introductory Engineering Class. Advances in Engineering Education, 8(2), n2.

Jabbarova, A. (2020). Psychological basis of teaching writing essay for the 1st year students at higher education.

Feurzeig, W. (2020). Apprentice tools: Students as practitioners. Technology in education: Looking toward, 97-120.

Vázquez, L. Q., & Romero, J. (2020). ESP within ESP: the design and implementation of a pronunciation module in a technical English course. Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, (6), 209-228.

Domínguez, D. G., Hernandez-Arriaga, B., & Paul, K. S. (2020). Cruzando Fronteras: Liberation psychology in a counseling psychology immersion course. Journal of Latinx Psychology.

Shin, M., & Bolkan, S. (2020). Intellectually stimulating students' intrinsic motivation: the mediating influence of student engagement, self-efficacy, and student academic support. Communication Education, 1-19.

Segura-Robles, A., Fuentes-Cabrera, A., Parra-González, M. E., & López-Belmonte, J. (2020). Effects on personal factors through flipped learning and gamification as combined methodologies in secondary education. Frontiers in Psychology, 11.

Koretsky, M., Kelly, C., & Gummer, E. (2011). Student perceptions of learning in the laboratory: Comparison of industrially situated virtual laboratories to capstone physical laboratories. Journal of Engineering Education, 100(3), 540-573.

Ertmer, P. A., & Newby, T. J. (2013). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance improvement quarterly, 26(2), 43-71.

Waitoller, F. R., & King Thorius, K. A. (2016). Cross-pollinating culturally sustaining pedagogy and universal design for learning: Toward an inclusive pedagogy that accounts for dis/ability. Harvard Educational Review, 86(3), 366-389.

Velarde O. (2020). What Is Information Design and Why Is It Important? retrieved from https://visme.co/blog/information-design/

Reyes, W. & Pech, S. (2020). Gamification in distance education: experiences in a university educational model. DO - 10.32870/Ap.v12n2.1849. https://www.researchgate.net/publication/344478384_Gamification_in_distance_education_experiences_in_a_university_educational_model

Martínez-Borreguero, G., Naranjo-Correa, F. L., Cañada Cañada, F., González Gómez, D., & Sánchez Martín, J. (2018). The influence of teaching methodologies in the assimilation of density concept in primary teacher trainees. Heliyon, 4(11), e00963. https://doi.org/10.1016/j.heliyon.2018.e00963

Birkett A. (2019). Survey Response Scales: How to Choose the Right One. Retrieved from https://cxl.com/blog/survey-response-scales/

DeCastellarnau, A. (2018). A classification of response scale characteristics that affect data quality: a literature review. Qual Quant 52, 1523–1559. https://doi.org/10.1007/s11135-017-0533-4

Buskirk, T.D., Saunders, T. (2015). Michaud, J.: Are sliders too slick for surveys? An experiment comparing slider and radio button scales for smartphone, tablet and computer based surveys. Methods Data Anal. 9, 229–260. doi:10.12758/mda.2015.013

De Leeuw, E.D., Hox, J.J., Boeve, A. (2016). Handling do-not-know answers: exploring new approaches in online and mixed-mode surveys. Soc. Sci. Comput. Rev. 34, 116–132. doi:10.1177/0894439315573744

Kunz, T. (2015). Rating scales in Web surveys. A test of new drag-and-drop rating procedures. Technische Universität, Darmstadt [Ph.D. Thesis].

Natalja M., Christof W. & Kathrin B. (2018). Design aspects of rating scales in questionnaires, Mathematical Population Studies, 25:2, 63-65, DOI: 10.1080/08898480.2018.1439240

Published

2022-09-07

Issue

Section

Themes and Debates