Programmed learning in mathematics education before and after the pandemic: Academics Integrate technology

Authors

  • Rani Darmayanti Country of Rani Darmayanti Yayasan Assyfa Learning Center (YALC) Pasuruan, Indonesia
https://doi.org/10.61650/alj.v2i1.126

Keywords:

Academic integrated technology, Instruction, Mathematics education, Programmed learning, TERASI

Abstract

Mathematics for school and university students. In the past, the COVID-19 pandemic in Indonesia paralyzed learning in schools and colleges, forcing them to go online. This is the new normal after the pandemic, a shift from online, offline, and hybrid (online-offline) learning. Academics have tried to use educational technology to teach curriculum, motivate students with attractive learning designs, and use creative learning media. Only with proper training will this increase teaching and learning. While the pandemic and this new standard will bring many contemporary issues, it also allows academics to try evaluation methods they have considered but never applied in a low-risk environment. Programmed learning improves learning. Online class satisfaction depends on quality and timely student-teacher contact, technological help, targeted online class modules, and practical course adaption to online platforms. Additionally, educators must create digital platform material to distribute information and encourage innovative thinking and execution. Thus, this systematic literature review examines how scheduled teaching affects learning. The analysis used the TERASI review process. Crossref, Google Scholar, PubMed, OpenAlex, Simantic Scholar, WOS, and Scopus were searched for 37 articles on programmed mathematics teaching benefits from 1990 to 2024. Most studies (17) focused on undergraduate students; the others had 20 people (students, lecturers/teachers, mixed, and parents). Based on the literature's limitations, the systematic review focused on "programmed teaching," "mathematics education," "benefits of programmed teaching," and "learning media" with manuscripts in English and pdf format. Another unusual finding was how challenging it is for teachers to keep students engaged while limiting distractions and technological misuse through learning media. The article will explore other programmed learning benefits, including practical and engaging teaching methods, positive effects on changing behaviour, raising grades for college and high school students, and increasing student interest.

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References

Ahmed, M. A., & Kumalasari, N. (2023). ANDIN-MU: Development of Android-Based Descriptive Text Interactive Multimedia Materials in High School English Subjects. Assyfa Learning Journal, 1, 49–59.

Aji, F. B., Sugianto, R., & Usmiyatun, U. (2023). Analysis Think Mathematical comedian with Method Inductive, Deductive, and Analogy in Make Material Stand Up Comedy. Delta-Phi: Jurnal Pendidikan Matematika, 1(1).

Amany, D. A. L., Puteri, A. A. I., & Karim, S. (2023). Analysis of The Relationship Between Student Interest and Written Communication in Solving Realistic Mathematics Problems. Delta-Phi: Jurnal Pendidikan …. https://www.journal.assyfa.com/index.php/dpjpm/article/view/36

Arif, V. R., Afnan, M., Usmiyatun, U., & Lestari, C. Y. (2023). Development of Social Studies Animation Video (S2AV) Teaching Materials on the Material" Plurality of Indonesian Society" for Junior High School Students. Assyfa Learning Journal, 1(1), 1–11.

Bailey, R. (1965). Programmed learning: Why hold back? Education + Training, 7(7), 306–308. https://doi.org/10.1108/eb015596

Baskoro, E. T., Cholily, Y. M., & Miller, M. (2006). Structure of selfrepeat cycles in almost Moore digraphs with selfrepeats and diameter 3. Bulletin of the Institute of Combinatorics and Its Applications, 46, 99–109.

Beaumont, A. (1965). Programmed learning techniques: a survey. Education + Training, 7(7), 309–311. https://doi.org/10.1108/eb015597

Choirudin, C., Sugilar, H., & Uluçay, V. (2023). TTM Magic Card Media Development! Assyfa Learning Journal, 1(2).

Cholily, Y. M., Hasanah, S. N., Effendi, M., & Putri, O. R. U. (2021). Literasi Digital Siswa Dalam Pembelajaran Matematika Berbantuan Media Space Geometry Flipbook (Sgf). Jurnal AKSIOMA, 10(3), 1736–1744.

da Silva Santiago, P. V, & Baiduri, B. (2023). How can" gamification" help in the teaching of arithmetic operations as a didactic tool and digital technology? Delta-Phi: Jurnal Pendidikan Matematika, 1(1), 34–40.

Dingman, H. (1965). Comparison of empirical learning curves in programmed instruction at different ability levels. Psychological Reports, 17(1), 275–282. https://doi.org/10.2466/pr0.1965.17.1.275

Durán, I. (2022). Exploring the synergistic effects of cabozantinib and a programmed cell death protein 1 inhibitor in metastatic renal cell carcinoma with machine learning. Oncotarget, 13, 237–256. https://doi.org/10.18632/ONCOTARGET.28183

Eccher, A. (2021). Digital slides as an effective tool for programmed death ligand 1 combined positive score assessment and training: Lessons learned from the “Programmed death ligand 1 key learning program in Head-and-Neck squamous cell carcinoma.” Journal of Pathology Informatics, 12(1). https://doi.org/10.4103/jpi.jpi_63_20

Ellis, H. C. (1964). Effect of Repetition in Programmed Learning. IEEE Transactions on Education, 7(1), 1–5. https://doi.org/10.1109/TE.1964.4321831

EL-SALEH, M. S. (2020). The impact of programmed e-learning of the tactical aspects on the level of tactical thinking and decision-making for basketball course students. Journal of Human Sport and Exercise, 15. https://doi.org/10.14198/jhse.2020.15.Proc3.44

Fauza, M. R., Baiduri, B., Inganah, S., Sugianto, R., & Darmayanti, R. (2023). Urgensi Kebutuhan Komik: Desain Pengembangan Media Matematika Berwawasan Kearifan Lokal di Medan. Delta-Phi: Jurnal Pendidikan Matematika, 1(2), 130–146.

Foy, J. M. (1965). An experiment in programmed learning. Journal of Pharmacy and Pharmacology, 17(6), 385–386. https://doi.org/10.1111/j.2042-7158.1965.tb07689.x

Hang, Y. (2024). Exploration of programmed cell death-associated characteristics and immune infiltration in neonatal sepsis: new insights from bioinformatics analysis and machine learning. BMC Pediatrics, 24(1). https://doi.org/10.1186/s12887-024-04555-y

Hasanah, S. N., Cholily, Y. M., Effendi, M. M., & Putri, O. R. U. (2021). Literasi Digital Siswa DAlam Pembelajaran Matematika Berbantuan Media Space Geometry Flipbook (SGF). AKSIOMA, 10(3), 1736–1744.

HECTOR, W. (1963). PROGRAMMED LEARNING. Nursing Times, 59, 1146–1147.

Hondelink, L. M. (2022). Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer. Histopathology, 80(4), 635–647. https://doi.org/10.1111/his.14571

Inganah, S., Rizki, N., Choirudin, C., Farooq, S. M. Y., & Susanti, N. (2023). Integration of Islamic values, mathematics, and career readiness competencies of prospective teachers in Islamic universities. Delta-Phi: Jurnal Pendidikan Matematika, 1(1), 11–14.

Jayanti, E. F., Choirudin, C., & Anwar, M. S. (2023). Application of the Mind Mapping Learning Model to Improve Understanding of Mathematics Concepts in Building Space Materials. Delta-Phi: Jurnal Pendidikan Matematika, 1(1), 43–56.

Karim, S., & Zoker, E. M. (2023). Technology in Mathematics Teaching and Learning: An Impact Evaluation in Selected Senior Schools in Masingbi Town. Assyfa Learning Journal, 2, 60–72.

Keller, H. R. (1971). Children’s acquisition and reversal behavior in a probability learning situation as a function of programed instruction, internal-external control, and schedules of reinforcement. Journal of Experimental Child Psychology, 11(2), 281–295. https://doi.org/10.1016/0022-0965(71)90084-1

Laila, A. R. N., Cholily, Y. M., Syaifuddin, M., Darmayanti, R., Sugianto, R., & ... (2023). Desain Modul Matematika Bilingual: Urgensi Pengembangan Media Matematika Bilingual dengan konten Islami. Assyfa Journal of Islamic Studies, 1(2).

Laila, A. R. N., Cholily, Y. M., Syaifuddin, M., & Kurniawati, W. (2023). Functional Inverse Material Description Test: Development of Islamic Integrated Communication Ability Instruments. Delta-Phi: Jurnal Pendidikan Matematika, 1(2), 107–124.

Maehr, M. (1964). Programed learning and the role of the teacher. Journal of Educational Research, 57(10), 554–556. https://doi.org/10.1080/00220671.1964.10883149

Majhool, Z. (2018). The impact of programmed learning strategies and integrative information fragmenting in the development of psychological compatibility and capabilities and distinctive explosive speed and completion of the effectiveness of the long jump for students. Journal of Global Pharma Technology, 10(9), 258–266.

Maryanto, B. P. A., Muhammad, I., & Sugianto, R. (2023). Kajian Literatur: Problematika Pembelajaran Matematika Di Sekolah. Delta-Phi: Jurnal Pendidikan Matematika, 1(2), 93–106.

McAulay, J. D. (1962). The Place of Programmed Learning in Elementary School Geography. Journal of Geography, 61(5), 215–221. https://doi.org/10.1080/00221346208982147

Nasiha, W., Afifah, N., & Amir, A. N. (2023). Design of a Website-Based Arabic Typing Application for Students of Arabic Language Education Program at University. Assyfa Learning Journal, 1, 12–24.

Peel, E. A. (1964). The Principles of Learning Underlying Programmed Instruction. Educational Review, 16(4), 20–34. https://doi.org/10.1080/0013191640160403

Pradana, M. D., & Uthman, Y. O. O.-O. (2023). Development of Aqidah Akhlak Learning Media" Board Game Based on Education Fun on the Theme of Commendable Morals (E-Fun A2M)" for High School Students. Assyfa Learning Journal, 1, 25–36.

Rahman, M. A. (2023). Professional development in an institution through the GROW model. Assyfa Learning Journal, 2, 112–121.

Ridho’i, A. V, Darmayanti, R., Afifah, A., & Nurmaltasari, D. (2023). Pizzaluv-Math: Analysis of Learning Media Needs to Make It Easy for Students to Learn the Limits of Trigonometric Functions. Delta-Phi: Jurnal Pendidikan Matematika, 1(3).

Sandy, D. N., Cholily, Y. M., Zukhrufurrohmah, Z., & Ummah, S. K. (2022). Pengembangan Flipbook Bermuatan Literasi Numerasi untuk Meningkatkan Kemampuan Komunikasi Matematis. Jurnal Tadris Matematika, 5(2), 135–148.

Santiago, P., Alves, F. R. V, & Darmayanti, R. (2023). GeoGebra in the light of the Semiotic Representation Registers Theory: an international Olympic didactic sequence. Assyfa Learning Journal, 1(2), 73–90.

Schabas, A. (2023). Game-Based Science Learning: What are the Problems with Teachers Practicing It in Class? Assyfa Learning Journal, 2, 89–103.

Sha, L. (2019). Multi-field-of-view deep learning model predicts nonsmall cell lung cancer programmed death-ligand 1 status from whole-slide hematoxylin and eosin images. Journal of Pathology Informatics, 10(1). https://doi.org/10.4103/jpi.jpi_24_19

Syaifuddin, M., Darmayanti, R., & Rizki, N. (2022). Development of a two-tier multiple-choice (TTMC) diagnostic test for geometry materials to identify misconceptions of middle school students. Jurnal Silogisme: Kajian Ilmu Matematika Dan Pembelajarannya, 7(2).

Vedianty, A. S. A., Darmayanti, R., Lestari, A. S. B., Rayungsari, M., & ... (2023). What is the need for" UBUR-UBUR GABUT" media and its urgency in high school mathematics learning. Assyfa International Scientific Journal, 1(1).

Veselinovska, S. (2010). Interactive learning in programmed teaching of the subject “Based of nature science” at pedagogical faculties in the Republic of Macedonia (ICT tools in Biology education). Procedia - Social and Behavioral Sciences, 2(2), 2253–2259. https://doi.org/10.1016/j.sbspro.2010.03.318

Wang, X. (2021). Dual-scale categorization based deep learning to evaluate programmed cell death ligand 1 expression in non-small cell lung cancer. Medicine (United States), 100(20). https://doi.org/10.1097/MD.0000000000025994

Winson, V. R. V, Arunkumar, V., & Rao, D. P. (2023). Exploring the Landscape of Teaching and Learning English as a Second Language in India. Assyfa Learning Journal, 2, 104–111.

Woodworth, M. (1965). The application of programmed learning to medical technology education. The American Journal of Medical Technology, 31(5), 317–330.

Xie, W. (2023). Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study. Academic Radiology, 30(7), 1317–1328. https://doi.org/10.1016/j.acra.2022.10.012

programmer learning

Published

2024-01-30

How to Cite

Darmayanti, R. (2024). Programmed learning in mathematics education before and after the pandemic: Academics Integrate technology. Assyfa Learning Journal, 2(1). https://doi.org/10.61650/alj.v2i1.126