This study is focus in determining the factors that influence the engineers to teach in state colleges and universities of Region I. The study is an exploratory analysis of the factors influencing engineers in Ilocos Region (Region I) to teach in state universities. The engineers were first described relating to their profile and work-related problems. After which, factor-analysis was performed to extract the underlying multiple and independent components out of eighteen (18) hypothesized influential variables to come up with a less explicit discussion in reduced dimension. A survey questionnaire developed by the researcher was used as the main data gathering instrument. Copies of the questionnaire were distributed to sixty-one (61) engineers teaching in the four major state universities in the provinces of Pangasinan, La Union, Ilocos Sur, and Ilocos Norte. They were selected using simple random sampling where results of descriptive statistical analysis revealed that they were of varying ages, mostly males, married and very few have earned a doctorate. Prior to teaching, most of the engineers have short industrial experience. A bulk of the faculty was new and old wherein the new faculty were occupying instructor positions on temporary or contractual status. The problems mostly encountered by them in their previous and present employment were moderately serious. The application of factor analysis resulted in the extraction of four components explaining 65% of the total variance. Such proportion explained the reasons why engineers opt to teach in a college where 35% of the total variance were shared by intrinsic factors.

Evaluating faculty members' performance is a very complex area to study. In addition, predicting the performance of these faculty members is a very difficult and challenging task. However, the core of education is teaching and learning, and teaching-learning works to its fullest when there are effective teachers. Measuring the effectiveness of faculty members is done based on the student evaluation of faculty. This research aims to develop a model to predict the performance of the faculty members using associative rule based on the existing evaluation form used by PSU to evaluate faculty members. The model is designed to utilize the knowledge of text analytics rule capabilities that will provide great support for the decision-making of Pangasinan State University in the Philippines. The result reveals that the term good is still the top one terms occurred for all campuses followed by teaching. The results indicated that teacher/faculty members on all campuses are good teachers. Associating words reveal that "teaching good subject/topic," "explains simply" and other meaningful associated words can be utilized to evaluate the performance of the teacher. The results exposed not only the quantitative values of faculty evaluation it also exposed the qualitative opinion of the students in the performance of their faculty members. This study reveals important aspects of the faculty member's teaching performance in terms of words/association of words that will describe their teaching performance. The results can be utilized in coaching and mentoring faculty members to cope with their weaknesses. The proposed model can be utilized by Pangasinan State University to evaluate the faculty members in terms of their teaching performance by utilizing the comments/opinions of the students.