Innovated iPlan in computer-aided design (cad) for engineering and technology at the state university

Paper Details

Research Paper 06/02/2025
Views (466)
current_issue_feature_image
publication_file

Innovated iPlan in computer-aided design (cad) for engineering and technology at the state university

Christian Jude Bolasco Calunsag
Int. J. Biosci. 26(2), 85-91, February 2025.
Copyright Statement: Copyright 2025; The Author(s).
License: CC BY-NC 4.0

Abstract

This iPlan evaluated the efficacy of the recently established plan for engineering drawing. The lesson plan for effective instruction that was discussed above was impacted by Merill’s four stages, which are activation, demonstration, application, and integration. The first quarter of the academic year 2018-2019 saw the participation of thirty college students from Jose Rizal Memorial State University in the survey. The purpose of the survey was to evaluate the efficiency of putting into practice the recently developed instructional plan (iPlan). The investigation of the aforementioned subject utilized the target data, a customized questionnaire that underwent both pilot testing and expert validation. Also, the dependability coefficient of 0.60 was calculated using 20 (KR20) on the previous equipment. We compared the experimental and controlled groups for both practical and theoretical performance, taking the mean of each version for each competency. We conducted this comparison with the experimental group. The data collection, analysis, and interpretation revealed that the innovated iPlan in Computer-Aided Design (CAD) significantly enhances student achievement. The completion of the aforementioned processes revealed this. Furthermore, it was evident that students were cooperative and involved throughout the entirety of the training stages, which demonstrated that they were having a positive time. We must recommend the cutting-edge iPlan to students at Jose Rizal Memorial State University because engineering drawing is suitable for each of Merill’s four phases of education.

Halim L, Yasin R, Ishar A. 2012. CAMED: An innovative communication tool in teaching engineering drawing. Retrieved from www.ukm.my/fpendidikan.

Harmon K. 2012. Planning for effective instruction: Best practices (Part 1). Retrieved from www.marzanocenter.com.

Merrill MD. 2009. First principles of instruction. In: Reigeluth CM, Carr-Chellman AA (Eds.), Instructional-Design Theories and Models: Building a Common Knowledge Base, Vol. III. Routledge, New York, 41–56.

Ponce MT. 2005. Computer-aided design (CAD) of Cebu State College of Science and Technology system: Instructional enhancement package.

Reigeluth CM. 2011. An instructional theory for the post-industrial age. Educ Technol 51(5), 25–29.

Reigeluth CM. 2012. Instructional theory and technology for a post-industrial world. In: Reiser RA, Dempsey JV (Eds.), Trends and Issues in Instructional Design and Technology, 3rd ed. Pearson Education, Boston, 75–83.

Romiszowski A. 2009. Fostering skill development outcomes. In: Reigeluth CM, Carr-Chellman AA (Eds.), Instructional-Design Theories and Models: Building a Common Knowledge Base, Vol. III. Routledge, New York, 199–224.

Wyte-Lake T, Tran K, Bowman C, Needleman J, Dobalian A. 2013. A systematic review of strategies to address the clinical nursing faculty shortage. J Nurs Educ 52(5). https://doi.org/10.3928/01484834-20130213-02.

Related Articles

Sensory acceptability of gnocchi pasta added with different levels of malunggay (Moringa oleifera) leaves and blue ternate (Clitoria ternatea) flowers

Ralph Justyne B. Bague, James Troyo, Proceso C. Valleser Jr.*, Int. J. Biosci. 28(1), 103-114, January 2026.

Spatio-temporal analysis of vegetation cover and socio-environmental implications in Korhogo (Northern Côte d’Ivoire) from 1990-2020

Adechina Olayossimi*, Konan Kouassi Urbain, Ouattara Amidou, Yao-Kouamé Albert, Int. J. Biosci. 28(1), 94-102, January 2026.

Predicting the habitat suitability of Vitellaria paradoxa under climate change scenarios

Franck Placide Junior Pagny*, Anthelme Gnagbo, Dofoungo Kone, Blaise Kabré, Marie-Solange Tiébré, Int. J. Biosci. 28(1), 73-83, January 2026.

Performance response dynamics of rabbits (Oryctolagus cuniculus) to locally sourced, on-farm feed ingredients during the growing phase: Implications for the institutional rabbit multiplier project

Roel T. Calagui*, Janelle G. Cadiguin, Maricel F. Campańano, Jhaysel G. Rumbaoa, Louis Voltaire A. Pagalilauan, Mary Ann M. Santos, Int. J. Biosci. 28(1), 65-72, January 2026.

Chronopharmacology: Integration of circadian biology in modern pharmacotherapy

Sangram D. Chikane*, Vishal S. Adak, Shrikant R. Borate, Rajkumar V. Shete, Deepak V. Fajage, Int. J. Biosci. 28(1), 56-64, January 2026.

Evaluation of the impact of floristic diversity on the productivity of cocoa-based agroforestry systems in the new cocoa production area: The case of the Biankouma department (Western Côte d’Ivoire)

N'gouran Kobenan Pierre, Zanh Golou Gizele*, Kouadio Kayeli Anaïs Laurence, Kouakou Akoua Tamia Madeleine, N'gou Kessi Abel, Barima Yao Sadaiou Sabas, Int. J. Biosci. 28(1), 44-55, January 2026.

Utilization of locally sourced feed ingredients and their influence on the growth performance of broiler chickens (Gallus gallus domesticus): A study in support of the school’s chicken multiplier project

Roel T. Calagui*, Maricel F. Campańano, Joe Hmer Kyle T. Acorda, Louis Voltaire A. Pagalilauan, Mary Ann M. Santos, Jojo D. Cauilan, John Michael U. Tabil, Int. J. Biosci. 28(1), 35-43, January 2026.