Changing the Face of Education: Computer-Assisted Instruction in the Secondary Education Classroom
DOI:
https://doi.org/10.47611/jsrhs.v10i3.1787Keywords:
computer-assisted instruction, secondary education, classroom settingAbstract
Researched since the early 1990s, computer-assisted instruction (CAI) continues to prove beneficial for learners across the curriculum. While research has been growing greatly with a focus on higher education, its K-12 education counterpart– specifically secondary education where the use of technology is prevalent– remains largely unexplored. Moreover, as technology advances, students are increasingly exposed to CAI. However, with the rapidly increasing speed of technological advancements, it has become difficult for educational research to progress at the same pace. In light of the COVID-19 pandemic advancing the utilization of instructional technology, it is imperative that all educational stakeholders are introduced to the benefits that CAI can provide: an education that caters to students’ learning preferences, equal educational opportunities for all students, and an enhancement of students’ motivation in the classroom. With educators more readily integrating technology to support traditional lesson plans, demonstrating its positive impacts on all educational stakeholders can help to alleviate reservations and foster more effective implementation of CAI.
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Birnie, B. F. (2015). Making the Case for Differentiation. Clearing House: A Journal of Educational Strategies, Issues and Ideas, 88(2), 62–65. https://doi.org/10.1080/00098655.2014.998601
Checho, C. (2007, December). The Effects of Podcasting on Learning and Motivation: A Mixed Method Study of At-Risk High School Students. https://search.proquest.com/openview/6fcb7cd47faadc0d64886b8c29159631/1?pq-origsite=gscholar&cbl=18750&diss=y
Courts, B., & Tucker, J. (2012). Using Technology To Create A Dynamic Classroom Experience. Journal of College Teaching & Learning (TLC), 9(2), 121–128. https://doi.org/10.19030/tlc.v9i2.6907
Digital Learning Collaborative. (2019). Snapshot 2019- A Review of K-12 Online, Blended, and Digital Learning (Keeping Pace With Digital Learning, pp. 29, 31, 35–37). https://static1.squarespace.com/static/59381b9a17bffc68bf625df4/t/5ce7e6a0eb393130e706bcdc/1558701730458/DLC-KP-Snapshot2019_052319-a.pdf
Estapa, A., & Nadolny, L. (2015). The Effect of an Augmented Reality Enhanced Mathematics Lesson on Student Achievement and Motivation. Journal of STEM Education, 16(3), 41–47. https://www.learntechlib.org/p/151963/
Khan, S. (2011, March). Let’s use video to reinvent education. https://www.ted.com/talks/salman_khan_let_s_use_video_to_reinvent_education
Kritsonis, W. A., & Lai, C.-C. (2006). The Advantages and Disadvantages of Computer Technology in Second Language Acquisition. National Journal for Publishing and Mentoring Doctoral Student Research, 3(1). https://files.eric.ed.gov/fulltext/ED492159.pdf
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2010). Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. U.S. Department of Education. https://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf
Mozer, M. C., Wiseheart, M., & Novikoff, T. P. (2019). Artificial intelligence to support human instruction. Proceedings of the National Academy of Sciences of the United States of America, 116(10), 3953–3955. https://doi.org/10.1073/pnas.1900370116
Newman, L., Wagner, M., Cameto, R., Knokey, A.-M., Buckley, J. A., & Malouf, D. (2009). The Post-High School Outcomes of Youth With Disabilities up to 4 Years After High School A Report From the National Longitudinal Transition Study-2 (NLTS2). National Center for Special Education Research Institute of Education Sciences. https://nlts2.sri.com/reports/2009_04/nlts2_report_2009_04_complete.pdf
Paiva, R. C., Ferreira, M. S., & Frade, M. M. (2017). Intelligent tutorial system based on personalized system of instruction to teach or remind mathematical concepts. Journal of Computer Assisted Learning, 33(4), 370–381. https://doi.org/10.1111/jcal.12186
Project Tomorrow. (2016). From print to pixel: The role of videos, games, animations, and simulations within K–12 education. Speak Up. https://tomorrow.org/speakup/pdfs/speakup-2015-from-print-to-pixel-may-2016.pdf
Project Tomorrow. (2019). Digital Learning: Peril or Promise for Our K-12 Students. Speak Up. https://tomorrow.org/Speakup/speakup2018-19-Digital-Learning-Peril-or-Promise-october2019.html
Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
Roshan, S. (2019, January 23). 3 unexpected ways tech can humanize learning | ISTE. International Society for Technology in Education. https://www.iste.org/explore/Personalized-learning/3-unexpected-ways-tech-can-humanize-learning
Salami, S. O. (2007). Effects of Personalised System of Instruction on Students’ Academic Achievement in Chemistry. MedWell Journals, 4(1), 132–136. http://docsdrive.com/pdfs/medwelljournals/pjssci/2007/132-136.pdf
Seifert, T. (2010). Understanding Student Motivation. Educational Research, 46(2), 137–149. https://doi.org/10.1080/0013188042000222421
Stanford, P., Crowe, M. W., & Flice, H. (2010). Differentiating with Technology. TEACHING Exceptional Children Plus, 6(4). https://eric.ed.gov/?id=EJ907030
Yudin, M. (2013, May 16). Technology Gives Students with Disabilities Access to College Courses. ED.Gov Blog. https://blog.ed.gov/2013/05/technology-gives-students-with-disabilities-access-to-college-courses/
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