Research Article

Intervention Material Utilizing Kotobee Application as an Aid for Modular Distance Learning for Grade 10 Mathematics

953 reads
Psych Educ Multidisc J, 2022, 5 (3), 179-185, DOI: https://doi.org/10.5281/zenodo.7220339, ISSN 2822-4353
Verified on SciChain · token #688 of SciMatic Articles (ERC-1155, 1,000,000 tokens)
Contract 0x0E596B4b…F05eF8 · mint transaction · verify the record
Proof of record · recorded 2026-10-17 · anchored on SciChain · Verify (opens in a new tab) · record

Abstract

This study focused on development of intervention material utilizing Kotobee Application as an aid for Grade 10 students as they dealt with modular distance learning at Lagundi-CCL National High School. This study utilized descriptive-developmental, and experimental research design utilizing assessment test and adopted questionnaire-checklist. In addition, the study used two groups of respondents. The first group was composed of thirty (30) Grade 10 learners who were chosen purposively based on the results of Learning Outcome Assessment during the first quarter. The second group was comprised of five (5) Mathematics experts who had evaluated the developed intervention material. Based on the result, the student-participants performed Very Satisfactory in geometric sequence, factoring polynomials, polynomial equations, and problem solving involving polynomial equations after exposure to the intervention material using Kotobee application. Moreover, the teacher-respondents evaluated the developed learning material Very satisfactory with respect to its content quality, instructional quality, and technical quality, and other findings. The results of this research may serve as basis of Mathematics teachers in Lagundii-CCL NHS to continue the provision of intervention material to improve students’ performance. More so, other subject teachers can use the findings in developing their own material.

Keywords mathematics modular distance learning intervention material Grade 10 Kotobee Application
Author 1

The team behind this paper

1 author, 1 institution.

This paper CCL National High School CCL National High School 1 author Cristina Uncad — corresponding author CU Cristina Uncad ✉

Readership

481 reads over 34 months.

February 2024 November 2026

On SciChain

This article is token #688 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
SciMatic 0xc35709…277732 100,000 (10%)
Cristina Uncad 0x29079b…1BB76F 900,000 (90%)
Content hash 0xc8becc3df20cf80ec461edbcd0feb0a0fc506bb12fca7498f8e510739aa7d8ea

Bibliographic Information

Cristina Uncad (2022). Intervention Material Utilizing Kotobee Application as an Aid for Modular Distance Learning for Grade 10 Mathematics, Psychology and Education: A Multidisciplinary Journal, 5(3): 179-185
Bibtex Citation
@article{cristina_uncad2022pemj,
author = {Cristina Uncad},
title = {Intervention Material Utilizing Kotobee Application as an Aid for Modular Distance Learning for Grade 10 Mathematics},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2022},
volume = {5},
number = {3},
pages = {179-185},
doi = {10.5281/zenodo.7220339},
url = {https://scimatic.org/show_manuscript/688}
}
APA Citation
Uncad, C., (2022). Intervention Material Utilizing Kotobee Application as an Aid for Modular Distance Learning for Grade 10 Mathematics. Psychology and Education: A Multidisciplinary Journal, 5(3), 179-185. https://doi.org/10.5281/zenodo.7220339

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Any photo that shows your face will do: we crop it to your head and shoulders and give it a plain background automatically.
  • To sign in, go to Sign in and enter the e-mail address registered with the article: we e-mail you a one-time sign-in link (there is no password).
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org