In order to better prepare university students as proficient, versatile and productive information and industrial technologists in the 21st century, the need to implement instructional strategies and activities naturally align with their predispositions will make them better learners. This study examined the learning style preferences, study habits and level of academic achievement of students enrolled in applied science courses of Cagayan State University at Lasam, Philippines.  The study employed descriptive correlational research design to a total of seventy-five respondents who were purposively sampled. Two sets of standardized instruments were utilized by the researcher. Results of the study revealed that the students of applied sciences courses preferred visual, group and kinesthetic as major learning styles while they manifest a moderate level of study habits. They also have a good level of academic achievement. Test of difference revealed that academic performance, father's occupation and type of high school graduated from spelled significant differences in their perceptual learning styles. They also spelled differences in their study habits when grouped according to academic standing in high school, writing skills, mothers’ education, and test anxiety. Finally, there were significant relationships between learning styles, study habits and academic performance of students in applied science courses. The implications of the study can guide instructors plan and deliver suitable instructional interventions.

Literature is life. It is the gateway of looking the world outside. We can learn, understand and appreciate the world. Reading literature is the best way to know who we are, what we are, and what we used to be. Using descriptive correlational research design, the study ventured on assessing the literary appreciation skills and reading performance of university students in literature, which may provide input to propose innovative learning tasks in enhancing their literary competence. Ninety students enrolled in the literature subject of the three college departments of one campus of a public higher education institution in the Philippines, were the participants of the study. Findings revealed that the students have a moderate level of skill in literary appreciation areas but a relatively low skill level in recognizing author's point of view, ability to judge the text, recognizing personal philosophy based on literary text read, and relating the stories to their personal lives. Meanwhile, students showed fair performance in literature learning, while literary appreciation skills and reading performance differed when students are grouped according to their college affiliations. Furthermore, a positive relationship exits between literary appreciation skills and reading performance of the students. This study proposes the implementation of twenty-nine innovative learning tasks for literature classes. The different learning tasks were presented in this paper for classroom use.

Scientific publication is a pillar that gauges the human intellectual capital of countries in the global innovation index. This paper presents the effectiveness of using technology-based tools in ensuring the quality of articles for journal publication. It employed a pre-and post-test research design to determine the effectiveness of online technology-based tools before and after the intervention. It employed a descriptive presentation of the different online technology tools used in the 21 specimens of faculty research written in publishable article formats. It examined the quality of references, level of readability, writing quality, originality, and grammar of the papers before and after the review process and interventions. The study highlighted that using the online tools improved the quality of the documents on grammar and lexical rate, similarity index, readability index, number of references, number of correct bibliographic entries for submission in high impact journals. A higher level of a cleansing process using online technology tools ensures the quality of publishable articles. Implications of this study will facilitate the academic community's journal article writing skill to effectively disseminate research studies results with higher chances of being accepted in respected global databases to contribute to knowledge generation and development of the country.

With the continual development of artificial intelligence and smart computing in recent years, quantitative approaches have become increasingly popular as an efficient modeling tool as they do not necessitate complicated mathematical models. Many nations have taken steps, such as transitioning to online schooling, to decrease the harm caused by coronaviruses. Inspired by the demand for technology in early education, the present research uses a radial basis function (RBF) neural network (NN) modeling technique to predict preschool instructors’ technology usage in classes based on recognized determinant characteristics of technology acceptance. In this regard, this study utilized the RBFNN approach to predict preschool teachers’ technology acceptance behavior, based on the theory of planned behavior, which states that behavioral achievement, in our case the actual technology use in class, depends on motivation, intention and ability, and behavioral control. Thus, this research design is based on an adapted version of the technology acceptance model (TAM) with eight dimensions: D1. Perceived usefulness, D2. Perceived ease of use, D3. Perceived enjoyment, D4. Intention to use, D5. Actual use, D6. Compatibility, D7. Attitude, and D8. Self-efficacy. According to the TAM, actual usage is significantly predicted by the other seven dimensions used in this research. Instead of using the classical multiple linear regression statistical processing of data, we opted for a NN based on the RBF approach to predict the actual usage behavior. This study included 182 preschool teachers who were randomly chosen from a project-based national preschool teacher training program and who responded to our online questionnaire. After designing the RBF function with the actual usage as an output variable and the other seven dimensions as input variables, in the model summary, we obtained in the training sample a sum of squares error of 37.5 and a percent of incorrect predictions of 43.3%. In the testing sample, we obtained a sum of squares error of 14.88 and a percent of incorrect predictions of 37%. Thus, we can conclude that 63% of the classified data are correctly assigned to the models’ dependent variable, i.e., actual technology use, which is a significant rate of correct predictions in the testing sample. This high significant percentage of correct classification represents an important result, mainly because this is the first study to apply RBFNN’s prediction on psychological data, opening up a new interdisciplinary field of research.

This paper focuses on assessing the immediate program graduate attributes and learning outcomes for the teacher preparation towards global competence initiatives. It describes the students' retrospection, which will serve as a basis for the program's strategic enhancement. This study employed a descriptive survey of 75 teacher candidates in the Philippines. Findings revealed that the top five highest program graduate attributes are lifelong learner, responsive teacher, ethical educator, subject matter expert, and multi-literate educator. Simultaneously, the bottom five are effective communicator, value-laden educator, instructional material developer, classroom manager, assessor and evaluator, and curriculum planner and implementer. Grade in experiential learning courses spelled the difference in the acquisition of graduate attributes. Implying that students with high academic performance perceived themselves to have a high level of acquisition of the Immediate Graduate Attributes (IGA). Retrospection of the respondents showed excellent satisfaction with the research and extension services, educational counseling program, and the instructors and professors' qualities while family and relatives were influential in choosing teaching as career preparation. Finally, parents' satisfaction and geographic locations are important factors that affect the teacher education program enrollment. This study will serve as reference in designing teacher education initiatives towards internationalization.