Techno Self Online Learning PEVAR: a New Learning Alternative (Paradigm and Construction)

Failasuf Fadli


This article aims to build paradigms, strategies, and stages of learning models that can reduce learning barriers so that the learning process can be beneficial for changes in cognitive, affective, and psychomotor aspects for the better. This research was conducted because it saw the reality of the problem of low learning achievement. The method used in this study is qualitative with an induction approach. The analysis used as theory development is the analysis of generic analytic style. The result of this research is an online independent learning model which consists of five stages namely Preparation, Exploration, Verification, Analysis, and Reflection called PEVAR. Techno Self Online Learning PEVAR offers a technology-based self-study alternative. Technological developments can make it easier for students to learn. Information contained in online media can be used as a learning resource. Techno Self Online Learning PEVAR is built based on the paradigm of behaviorism, constructivism, and cognitive. The purpose of this learning model is to increase learning achievement which is marked by increasing students' affective, cognitive and psychomotor abilities. The strategies used to achieve the goals are commitment, discipline, motivation, confidence, creativity, activity, effectiveness, and efficiency in learning.


Self Learning, Techno Self Learning, Online Technology, PEVAR Learning Model, Online Learning


S. Alshahrani, E. Ahmed, and R. Ward, “The influence of online resources on student–lecturer relationship in higher 8education: a comparison study,” J. Comput. Educ., vol. 4, no. 2, pp. 87–106, 2017, doi: 10.1007/s40692-017-0083-8.

R. Raja and P. C. Nagasubramani, “Impact of modern technology in education,” J. Appl. Adv. Res., vol. 3, no. S1, p. 33, 2018, doi: 10.21839/jaar.2018.v3is1.165.

J. Francis, “The Effects Of Technology On Student Motivation And Engagement In Classroom-Based Learning Preferred Citation,” University Of New England, 2017.

C. Vrasidas and M. S. Mcisaac, “Integrating Technology in Teaching and Teacher Education : Implications for Policy and Curriculum Reform Integrating Technology in Teaching and Teacher Education : Implications for Policy and,” in ICEM-CIME GENEVA CONFERENCE, 2000, vol. 3987, no. March, pp. 127–132, doi: 10.1080/0952398011004194.

G. . Wikramanayake, “Impact of Digital Technology on Education,” 2005, no. August 2005.

C. H. Wu, Y. S. Chen, and T. C. Chen, “An Adaptive e-learning system for enhancing learning performance: Based on dynamic scaffolding theory,” Eurasia J. Math. Sci. Technol. Educ., vol. 14, no. 3, pp. 903–913, 2018, doi: 10.12973/ejmste/81061.

R. G. Brockett and R. Hiemstra, Self-direction in adult learning: Perspectives on theory, research, and practice. New York: Routledge, 1991.

K. Izci, “Internal and External Factors Affecting Teachers’ Adoption of Formative Assessment to Support Learning,” Tojet - Turkish Online J. Educ. Technol., vol. 10, no. 8, pp. 2541–2548, 2016.

Lane, D., and Oswald, F. L. Revisiting a Central Conclusion of Academically Adrift. 35(3), 23–25, 2016.

Velayati, N., Muslem, A., Fitriani, S. S., & Samad, I. A. An Exploration of Students’ Difficulties in Using Critical Thinking Skills in Reading. Al-Ta Lim Journal, 24(3), 195–206, 2017,

Kupers, E., Lehmann-Wermser, A., McPherson, G., and van Geert, P. Children’s Creativity: A Theoretical Framework and Systematic Review. In Review of Educational Research (Vol. 89), 2019,

I. Branch, “Identifying Barriers of E-learning Implementation by M.Sc. Students in Agricultural Faculty of Islamic Azad University, Ilam Branch,” Int. J. Agric. Manag. Dev., vol. 6, no. 3, pp. 353–362, 2016.

N. Kohan, kamran S. Arabshani, R. Mojtahedzadeh, A. Abbaszadeh, T. Rahksani, and A. Emami, “Self-directed learning barriers in a virtual environment: a qualitative study,” J Adv Med Educ Prof, vol. 5, no. 3, pp. 116–123, 2017.

Trilling, B., and Fadel, C. 21st Century Skills_ Learning for Life in Our Times. In Jossey-Bass. San Francisco: Jossey-Bass A Wiley Imprint, 2009.

M. Yasmin, F. Naseem, and I. C. Masso, “Teacher-directed learning to self-directed learning transition barriers in Pakistan,” Stud. Educ. Eval., vol. 61, no. January, pp. 34–40, 2019, doi: 10.1016/j.stueduc.2019.02.003.

R. C. Plews, “Self-Direction in Online Learning: The Student Experience,” Int. J. Self-Directed Learn., vol. 14, no. 1, 2017.

P. Fidalgo, J. Thormann, O. Kulyk, and J. A. Lencastre, “Students’ perceptions on distance education: A multinational study,” Int. J. Educ. Technol. High. Educ., vol. 17, no. 1, 2020, doi: 10.1186/s41239-020-00194-2.

J. W. Creswell, Educational Research; Planning, Conducting and Evaluating Quantitative and Qualitative Research. Pearson, 2012.

V. G. Hardcastle, How to build a theory in cognitive science. New York: Uny Press, 1996.

B. Drowns, L. Robert, Hurley, M. Marlene, Wilkinson, and Barbara, “The Effects of School-Based Writing-to-Learn Interventions on Academic Achievement: A Meta-Analysis Review of Educational Research,” Educ. Res., vol. 74, pp. 29–58, 2004.

E. Thorndike, Educational Psychology: The Psychology of Learning. New York: Teachers College Press, 1913.

Gagne Robert M., The conditions Of Learning, 2nd ed. Holt, Rinehart and Winston Inc, 1970.

G. B. Gebremeskel, A. A. Kebede, and Y. Chai, “The Paradigm Role of ICT for Behavioral and Educational Psychology: The Case of Developing Countries,” Int. J. Inf. Educ. Technol., vol. 6, no. 4, pp. 301–307, 2016, doi: 10.7763/ijiet.2016.v6.704.

Vygotsky, Mind in Society: The Development of Higher Psychological Processes. Cambridge, Massachusett: Harvard University Press, 1978.

S. H. Mohammed and L. Kinyo, “The role of constructivism in the enhancement of social studies education,” J. Crit. Rev., vol. 7, no. 7, pp. 249–256, 2020, doi: 10.31838/jcr.07.07.41.

J. Piaget, The construction of reality in the child. New York: Basic Books, 1954.

M. H. Johnson, Developmental cognitive neuroscience, 2nd ed. Oxford: Blacwell publishing, 2005.

J. Piaget, Topics in Cognitive Development: Equilibration: Theory, Research, and Application. US: Springer, 1977.

E. B. Russell, “Cognitive Learning Theory and Cane Travel Instruction: A New Paradigm (Book Review),” J. Vis. Impair. Blind., vol. 30, no. 2, pp. 155–156, 1996, doi: 10.1034/j.1600-0560.2003.00021.x.

D. A. Vincenzi, B. Valimont, N. Macchiarella, C. Opalenik, S. N. Gangadharan, and A. E. Majoros, “The Effectiveness of Cognitive Elaboration Using Augmented Reality as a Training and Learning Paradigm,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2003, vol. 47, pp. 2054–2058, do: 10.1177/154193120304701909.

A. Bandura, Self-efficacy in changing societies. Cambridge University Press, 1999.

E. Alqurashi, “Self-Efficacy In Online Learning Environments: A Literature Review,” Contemp. Issues Educ. Res., vol. 9, no. 1, 2016.

M. Gibbons, “The Self-Directed Learning Handbook: Challenging Adolescent Students to Excel,” p. 208, 2003.

A. S. Asare, F. O. Mensah, L. Price, and A. Gyamera, “Managing Schools Discipline- The students and teachers perspectives,” Br. J. Psychol. Reseacrh, vol. 3, no. 2, pp. 1–111, 2015, doi: 10.1017/CBO9781107415324.004.

A. Marciniak, “Effective ways of dealing with discipline problems when teaching adolescent learners,” World Sci. News, vol. 7, pp. 53–72, 2015.

B. D. Griffith and A. Tyner, Discipline Reform through the Eyes of Teachers, no. July. America: Thomas B. Fordham Institute, 2019.

R. H. Rafiola, P. Setyosari, C. L. Radjah, and M. Ramli, “The effect of learning motivation, self-efficacy, and blended learning on students’ achievement in the industrial revolution 4.0,” Int. J. Emerg. Technol. Learn., vol. 15, no. 8, pp. 71–82, 2020, doi: 10.3991/ijet.v15i08.12525.

S. O. Ozen, “The effect of motivation on student achievement,” Factors Eff. Student Achiev. Meta-Analysis Empir. Stud., pp. 35–56, 2017, doi: 10.1007/978-3-319-56083-0_3.

D. Goleman, Emotional Intelligence: Why EQ Is More Important Than IQ. Jakarta: PT. Gramedia Pustaka Utama, 2000.

A. H. Maslow, “A theory of human motivation,” Psychol. Rev., vol. 50, no. 4, pp. 370–396, 1943.

A. Semenov, Information and Communication Technologies in Schools a Handbook for Teacher or How ICT can Create New, open Learning Environments. Paris farnce: UNESCO, 2005.

A. B. Tsaniyah and S. Poedjiastoeti, “Moge Learning Model To Improve Creative Thinking Skills,” Int. J. Educ. Res., vol. 5, no. 1, pp. 165–172, 2017.

Z. Vally et al., “Examining the effects of creativity training on creative production, creative self-efficacy, and neuro-executive functioning,” Think. Ski. Creat., vol. 31, no. September 2018, pp. 70–78, 2019, doi: 10.1016/j.tsc.2018.11.003.

B. S. Palupi, S. Subiyantoro, Triyanto, and Rukayah, “Creative-thinking skills in explanatory writing skills viewed from learning behaviour: A mixed method case study,” Int. J. Emerg. Technol. Learn., vol. 15, no. 1, pp. 200–212, 2020, doi: 10.3991/IJET.V15I01.11487.

I. F. Sulasiwi, S. K. Handayanto, and Wartono, “DEVELOPMENT OF SELF-RATING SCALE INSTRUMENT OF SELF-DIRECTED LEARNING SKILLS FOR HIGH SCHOOL STUDENTS,” J. Penelit. dan Eval. Pendidik., vol. 23, no. 1, pp. 1–11, 2019, doi: 10.1017/CBO9781107415324.004.

S. Hartikainen, H. Rintala, L. Pylväs, and P. Nokelainen, “The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education,” Educ. Sci., vol. 9, no. 4, pp. 9–12, 2019, doi: 10.3390/educsci9040276.

T. D. Baruah, “Effectiveness of Social Media as a tool of communication and its potential for technology enabled connections: A micro-level study,” Int. J. Sci. Res. Publ., vol. 2, no. 5, pp. 1–10, 2012, doi: ISSN 2250-3153.

J. Donnelly et al., “Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review,” Med. Sci. Sport. Exerc., vol. 48, no. 6, pp. 1223–1224, 2016.

V. Arkorful and N. Abaidoo, “The role of e-learning, advantages and disadvantages of its adoption in higher education,” Int. J. Instr. Technol. Distance Learn., vol. 12, no. 1, pp. 29–42, 2015.

S. Ghavifekr and W. A. Wan Rosdy, “Teaching and learning with technology: Effectiveness of ICT integration in schools,” Int. J. Res. Educ. Sci., vol. 1, no. 2, pp. 175–191, 2015, doi: 10.21890/ijres.23596.

G. O. Grow, “Teaching learners to be self-directed,” Adult Educ. Q., vol. 41, no. 3, pp. 125–149, 1991, doi: 10.1177/0001848191041003001.

M. Tennant, “The Staged Self-Directed Learning Model Mark Tennant,” vol. 42, no. 3, pp. 164–166, 1992.

I. Zogla, “Science of pedagogy: Theory of educational discipline and practice,” J. Teach. Educ. Sustain., vol. 20, no. 2, pp. 31–43, 2018, doi: 10.2478/jtes-2018-0013.

F. Fadli, S. I. D. Astuti, and R. Rukiyati, “Techno-resilience for teachers: Concepts and action,” TEM J., vol. 9, no. 2, pp. 820–825, 2020, doi: 10.18421/TEM92-53.

H. Navrátilová and B. P. Puhrová, “From the Theory of Play into the Practice in Kindergarten: Verification of the Original Didactic Toys for Preschool Children,” Acta Educ. Gen., vol. 7, no. 3, pp. 25–44, 2018, doi: 10.1515/atd-2017-0022.

R. H. Shroff, F. S. T. Ting, and W. H. Lam, “Development and validation of an instrument to measure students’ perceptions of technology-enabled active learning,” Australas. J. Educ. Technol., vol. 35, no. 4, pp. 109–127, 2019, doi: 10.14742/ajet.4472.

J. Capacho, “Validation of Learning Theories in Their Relationship With,” Turkish Online J. Distance Educ., vol. 19, no. 2, pp. 166–188, 2018.

N. Gunduz and C. Hursen, “Constructivism in Teaching and Learning; Content Analysis Evaluation,” Procedia - Soc. Behav. Sci., vol. 191, no. 392, pp. 526–533, 2015, doi: 10.1016/j.sbspro.2015.04.640.

C. C. Chinedu and Y. Kamin, “Strategies for improving higher order thinking skills in teaching and learning of design and technology education,” J. Tech. Educ. Train., vol. 7, no. 2, pp. 35–43, 2015.

F.-Z. El Arroum, M. Hanoune, and Y. Zidoun, “Serious Game Design: Presenting a New Generic Creative Reflection Framework,” Int. J. Emerg. Technol. Learn., vol. 15, no. 19, p. 247, 2020, doi: 10.3991/ijet.v15i19.15603.

M. J. Sethusha, “Challenges experienced by teaching practice supervisors in an open and distance learning environment,” Mediterr. J. Soc. Sci., vol. 5, no. 15, pp. 409–413, 2014, doi: 10.5901/mjss.2014.v5n15p409.

R. Helyer, “Learning through reflection: the critical role of reflection in work-based learning (WBL),” J. Work. Manag., vol. 7, no. 1, pp. 15–27, 2015, doi: 10.1108/jwam-10-2015-003.

B. Chang, “Reflection in learning,” Online Learn. J., vol. 23, no. 1, pp. 95–110, 2019, doi: 10.24059/olj.v23i1.1447.

B. S. Bloom, Taxonomy of educational objectives: The classification of educational goals. New York: Longman, 1956.

W. Anderson, L, D. . Krathwohl, P. . Airasian, K. . Cruickshank, R. . Mayer, and P. Pintrich, A Taxonomy for learning, teaching, and assing: A Revision of Bloom’s Taxonmy objective. New York: Longman, 2001.

M. O. Olatunji, “Teaching and Assessing of Affective Characteristics: a Critical Missing Link in Online Education.,” Int. J. New Trends Educ. their Implic., vol. 4, no. 1, pp. 96–107, 2013.

V. Sönmez, “Association of Cognitive, Affective, Psychomotor and Intuitive Domains in Education, Sönmez Model,” Univers. J. Educ. Res., vol. 5, no. 3, pp. 347–356, 2017, doi: 10.13189/ujer.2017.050307.

J. Cullum, M. O’Grady, and H. Tennen, “Affiliation Goals and Health Behaviors,” Soc. Pers. Psychol. Compass, vol. 5, no. 10, pp. 694–705, 2011.

I. D. P. Sari and T. H. Rahmah, “Virtual Discussion for EFL Students Establishing Three Domains: Cognitive, Affective, and Psychomotor,” Int. J. Educ. Vocat. Stud., vol. 1, no. 3, pp. 249–253, 2019, doi: 10.29103/ijevs.v1i3.1586.



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