Leovigildo Lito D. Mallillin, Johdel C. Cabaluna, Regilito D. Laurel, Pilipinas America C. Arroyo, Teodoro M. Señoron Jr, Jocelyn B. Mallillin


The study aims to describe the profile of the respondents in terms of age, gender, educational attainment, and number of years in teaching and to understand the structural domain of learning among the students in their academic performance in the area of cognitive domain of learning, affective domain of learning, and psychomotor domain of learning to include the approach on the teaching strategies of the students in their school achievement along the area of analysis and comprehension level, attitude towards the lesson, and academic performance. The quantitative research design is utilized in the study because it attempts to quantify and collect the statistical analysis on the various measures set in the research questions in the study. The purposive sampling technique is utilized in the study. This type of sampling is non-probability which is very effective in the domain of learning and expert knowledge on the needs of the study. The study comprised thirty (30) respondents only. Results show that structural cognitive domain of learning reveals the ability to construct meaning from their lesson as to function and activities in their module, structural affective domain of learning reveals that students have the active attention and proper motivation to learn, willingness to respond, and feeling of satisfaction, and students have the attitude of worth, beliefs, acceptance, preference, and commitment to values, and structural psychomotor domain of learning reveals that students can express their learning through gestures, posture, facial expression, and/or creative movement. On the other hand, approach to teaching strategies as to comprehension and analysis levels shows innovation, creativity, competition, and have the ability to present concepts in their outline lesson, approach to teaching strategies as to the attitude of students toward the lesson shows that students display strict compliance toward their lessons and activities, and approach to teaching strategies as to academic performance shows that students focus on their lessons and provides output in the learning process, and students pay close attention to the direction in their lesson set up by. Findings of the study show that there is no significant agreement between the structural domain of learning among the students in their academic performance and the approach on the teaching strategies of the students in their school achievement among the respondents.


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Aini, A. N., Mukhlis, M., Annizar, A. M., Jakaria, M. H. D., & Septiadi, D. D. (2020, February). Creative thinking level of visual-spatial students on geometry HOTS problems. In Journal of Physics: Conference Series (Vol. 1465, No. 1, p. 012054). IOP Publishing.

Akben, N. (2020). Effects of the problem-posing approach on students’ problem solving skills and metacognitive awareness in science education. Research in Science Education, 50(3), 1143-1165.

Ball, S. (2020). Initial encounters in the classroom and the process of establishment. In Life in School (pp. 108-120). Routledge.

Bauer, G. R., Churchill, S. M., Mahendran, M., Walwyn, C., Lizotte, D., & Villa-Rueda, A. A. (2021). Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods. SSM-population health, 100798.

Behera, A., Matthew, P., Keidel, A., Vangorp, P., Fang, H., & Canning, S. (2020). Associating facial expressions and upper-body gestures with learning tasks for enhancing intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 30(2), 236-270.

Cahapay, M. B. (2021). How to Plan Lessons in the New Normal Education: A Reintroduction to Selected Instructional Design Processes. Aquademia, 5(1), ep21006.

Delgado-Lobete, L., Pértega-Díaz, S., Santos-del-Riego, S., & Montes-Montes, R. (2020). Sensory processing patterns in developmental coordination disorder, attention deficit hyperactivity disorder and typical development. Research in developmental disabilities, 100, 103608.

Eriksson, E., Boistrup, L. B., & Thornberg, R. (2020). “You must learn something during a lesson”: how primary students construct meaning from teacher feedback. Educational Studies, 1-18.

Francisco, C. D. C., & Celon, L. C. (2020). Teachers' Instructional Practices and Its Effects on Students' Academic Performance. Online Submission, 6(7), 64-71.

Görner, K., & Reineke, A. (2020). The influence of endurance and strength training on body composition and physical fitness in female students. Journal of Physical Education and Sport, 20, 2013-2020.

Halawa, S., Hsu, Y. S., Zhang, W. X., Kuo, Y. R., & Wu, J. Y. (2020). Features and trends of teaching strategies for scientific practices from a review of 2008–2017 articles. International Journal of Science Education, 42(7), 1183-1206.

Hamroev, A. R. (2019). Modeling activities of teachers when designing creative activities of students. European Journal of Research and Reflection in Educational Sciences, 2019.

Hayat, A. A., Shateri, K., Amini, M., & Shokrpour, N. (2020). Relationships between academic self-efficacy, learning-related emotions, and metacognitive learning strategies with academic performance in medical students: a structural equation model. BMC medical education, 20(1), 1-11.

Hong, J. C., Chen, M. L., Wang, C. M., Ye, J. N., & Ye, J. H. (2020). Relationship among the urban and rural students’ cooperative attitude, creative task engagements and competition value in participating a steam co-creation contest. International Journal of Information and Education Technology, 10(12), 873-881.

Jonassen, D. H., & Carr, C. S. (2020). Mindtools: Affording multiple knowledge representations for learning. In Computers as cognitive tools, volume two: No more walls (pp. 165-196). Routledge.

Klar, S., & Leeper, T. J. (2019). Identities and intersectionality: a case for Purposive sampling in Survey‐Experimental research. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment, 419-433.

Mallillin, et al. (2021). Strategies, Trends, Methods and Techniques of Teaching in the New Normal Learning Perspective of Students. East African Scholars J Edu Humanit Lit; Vol-4: Iss-7 (July, 2021): 265-274

Mallillin, L. L. D. (2020). Different Domains in Learning and the Academic Performance of the Students. Journal of Educational System, 4(1), 1-11.

Mallillin, L. L. D., & Mallillin, J. B. (2019). Competency Skills and Performance Level of Faculties in the Higher Education Institutions (HEIs). European Journal of Education Studies.

Mallillin, L. L. D., Carag, E. A., Mallillin, J. B., & Laurel, R. D. (2020). Integration of knowledge through online classes in the learning enhancement of students. European Journal of Open Education and E-learning Studies, 5(1).

Mallillin, L. L. D., Mallillin, J. B., Carag, E. A., Collado, J. B., & Largo, M. G. D. (2020). A framework in online learning process: a guide to educational teaching during covid 19 pandemic. European Journal of Open Education and E-learning Studies, 5(2).

Mallillin, L. L. D. (2021). Competency Based-Learning and Quality Education in the New Normal Modality of Teaching.

Niu, S. J., & Niemi, H. (2020). Teachers support of students’ social-emotional and self-management skills using a solution-focused Skillful-Class method. The European Journal of Social & Behavioural Sciences.

Parada, S. E., Blasco-Blasco, O., & Liern, V. (2019). Adequacy indicators based on pre-established goals: an implementation in a Colombian University. Social Indicators Research, 143(1), 1-24.

Patikorn, T., & Heffernan, N. T. (2020, August). Effectiveness of crowdsourcing on-demand assistance from teachers in online learning platforms. In Proceedings of the Seventh ACM Conference on Learning@ Scale (pp. 115-124).

Perso, T., & Hayward, C. (2020). Teaching Indigenous students: Cultural awareness and classroom strategies for improving learning outcomes. Routledge.

Prinz, A., Golke, S., & Wittwer, J. (2020). How accurately can learners discriminate their comprehension of texts? A comprehensive meta-analysis on relative metacomprehension accuracy and influencing factors. Educational Research Review, 100358.

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.

Sanchez‐Sepulveda, M. V., Fonseca, D., García‐Holgado, A., García‐Peñalvo, F. J., Franquesa, J., Redondo, E., & Moreira, F. (2020). Evaluation of an interactive educational system in urban knowledge acquisition and representation based on students' profiles. Expert Systems, 37(5), e12570.

Simanullang, N. H. S., & Rajagukguk, J. (2020, February). Learning Management System (LMS) Based on Moodle to Improve Students Learning Activity. In Journal of Physics: Conference Series (Vol. 1462, No. 1, p. 012067). IOP Publishing.

Spillane, J. P., Seelig, J. L., Blaushild, N. L., Cohen, D. K., & Peurach, D. J. (2019). Educational system building in a changing educational sector: Environment, organization, and the technical core. Educational Policy, 33(6), 846-881.

Subaidi, S. (2020). Strengthening Character Education in Indonesia: Implementing Values from Moderate Islam and the Pancasila. Journal of Social Studies Education Research, 11(2), 120-132.

Troy Frensley, B., Stern, M. J., & Powell, R. B. (2020). Does student enthusiasm equal learning? The mismatch between observed and self-reported student engagement and environmental literacy outcomes in a residential setting. The Journal of Environmental Education, 51(6), 449-461.

Uzir, A., Gašević, D., Matcha, W., Jovanović, J., Pardo, A., Lim, L. A., & Gentili, S. (2019, September). Discovering time management strategies in learning processes using process mining techniques. In European Conference on Technology Enhanced Learning (pp. 555-569). Springer, Cham.

Verma, C., Illés, Z., Stoffová, V., & Bakonyi, V. (2020). Opinion prediction of Hungarian students for real-time e-learning systems: A futuristic sustainable technology-based solution. Sustainability, 12(16), 6321.



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