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Tracer Study of Architectural Drafting: An Inputs for the Integration of Enhanced Learning Competencies in Faculty Development Program Flores, Cariza; Daran, Danilo N.; Aquino, John Michael D.
International Journal of Multidisciplinary Sciences Vol. 2 No. 2 (2024)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/ijms.v2i2.3124

Abstract

This study aims to explore the profile of graduates in the field of architectural drafting, their learning capabilities, skills, and knowledge, and their readiness towards the workforce. The results will be the inputs to integrate the enhanced learning competencies to faculty development program. This study used a quantitative research design and random sampling technique to select the target graduates of the architectural drafting program from AY 2016-2020 which composed of 105 graduates based on the list given by the registrar’s office. The data for this study collected through a survey questionnaire which was modified based on the Graduate Tracer Research Questionnaire from CHED. The results revealed that most of the respondents are single, male and most of them work in contract and regular roles, and many of them feel their jobs are connected to their academic program. Competitive salary and benefits, chances to use specialized skills, and the possibility of professional growth are the main reasons why recent graduates decide to remain in their current job. Moreover, graduates show a good grasp of industry concepts that are pertinent to architectural drafting and strong analytical thinking, problem-solving, and communication skills. Proficiency in fundamental drafting skills, CAD software usage, technical drawing standards, and professional ethics are demonstrated by graduates. Furthermore, with the knowledge and skills needed to thrive in the field of architectural drafting, graduates are well-prepared for the workforce. They exhibit a readiness to work with professionals in the field.
Innovation of Teaching Strategies in Factors Associated with Flexible Learning of Drafting Students Flores, Cariza A.; Daran, Danilo N.; Aquino, John Michael D.; Aranilla, Kris Jon Jay F.
Journal Evaluation in Education (JEE) Vol 6 No 2 (2025): April
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v6i2.1451

Abstract

Purpose of the Study: This study examines the intersection of flexible learning strategies, psychological well-being, and academic success among drafting students, a group that has received limited attention in existing academic literature. The research aims to uncover how flexible learning techniques impact students’ mental health and academic performance, providing insights that inform innovative teacher training programs and instructional approaches tailored to this unique demographic. Methodology: A descriptive research design was employed, using purposive sampling to select participants. Data were collected through survey questionnaires, and statistical analysis was conducted using the Statistical Package for the Social Sciences (SPSS). The study focused on drafting students aged 18 to 23, many of whom come from financially struggling backgrounds. Participants primarily accessed learning materials through mobile devices and laptops using mobile data or Wi-Fi, engaging in both asynchronous and synchronous learning formats. Main Findings: The study found that students in flexible learning environments demonstrated high psychological well-being and strong academic performance. Interestingly, demographic factors, socio-economic status, and device type did not significantly impact academic success. Instead, age and internet connectivity quality played a critical role in student achievement. Novelty/Originality of the Study: This research provides a novel perspective on the relationship between flexible learning and student well-being in technical education, particularly among drafting students. The findings emphasize the need for equitable digital access and highlight the importance of personalized learning models. Future research should explore learning environments, teacher-student interactions, and digital resource accessibility to further enhance student outcomes.