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9 August 2023

14 Pages

Redesign and Implementation of the Electromagnetism Course for Engineering Students Using the Backward Design Methodology

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Faculty of Education Sciences, Universidad del Magdalena, Santa Marta 470004, Colombia
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Author to whom correspondence should be addressed.
This article belongs to the Special Issue Teaching Methods in Sustainable Education

Abstract

In this study, the redesign and implementation of an electromagnetism course for engineering students are presented using the methodology of backward design (BD), recognized for its attributes for the development of active learning and its possibility of specifying the fundamentals and principles of engineering education in the development of higher education syllabus. The purposes of this study were as follows: (1) to implement the backward design (BD) methodology to develop argumentative, purposeful, and interpretive skills in an electromagnetism course; (2) to design and apply rubrics to evaluate tests and laboratory reports and determine the level that best suits the knowledge, skills, and competencies of students; (3) to assess the perception of students regarding the use of the methodology and their contributions to the development and understanding of the concepts of the course. The results of this educational research experience showed that the BD teaching approach was pedagogical and significantly superior to conventional models for improving knowledge and skills of electromagnetism based on Hake’s statistic (h) of 0.73, which led us to conclude that there was a learning gain in the students. This paper focuses on Sustainable Development Goal 4 (SDG 4) of the United Nations Agenda, which is aimed at “Quality education”. The study’s results reveal that fully integrated and sustainable solutions can be envisioned for higher education entities via the implementation of BD methodology, which can support the educational transformation of the higher education sector based on SDG 4, which promotes inclusive and equitable quality education for all. This can mitigate the risk associated with university dropouts due to subjects that are highly complex for many students like electromagnetism.

1. Introduction

Some organizations like UNESCO and the Organization for Economic Co-operation and Development (OECD) have been responsible for the implementation of SDG 4. Both entities explored effective learning strategies and identified active learning as a key approach. In this sense, they have provided practical guidance for educators to integrate sustainable development principles into teaching practices and emphasize the importance of active learning methodologies, such as inquiry-based learning, active learning, and project-based learning, in addressing the SDGs [1,2].
In addition, in recent decades, technologies have evolved vertiginously to facilitate human life, including tools that facilitate the implementation of new pedagogical strategies for the improvement of educational systems [3,4,5]. Accessibility to the use of laptops and mobile devices from any place and time, including access to network computers, provides remote communication options that have promoted changes in the curriculum of the programs of the Faculty of Engineering of the Universidad del Magdalena, allowing leaps in learning and teaching models emphasizing the evolution of appropriate professional skills for students. In that direction, both this and many universities and educational organizations at the international level are choosing and promoting active learning strategies for their versatility to prepare students in competitive scenarios, where they manage to qualify in order to address the main problems of society once they enter the world of work or entrepreneurship [6,7,8,9,10].
A brief review of references allows the identification of different types of learning that enable students to connect with real-world problems [11]:
  • Cooperative learning is the instructional strategy of using small groups in which students collaborate to optimize both their own and each other′s learning, as described by the authors in [12]. These authors indicate that cooperative learning has a connection to collaborative learning, which highlights how the community has an impact on learning.
  • Collaborative learning allows students to negotiate the boundaries between the knowledge communities they belong to and the professors′ community via collaborative activities [13].
  • Problem-based learning (PBL) is a teaching strategy that allows students the freedom to conduct independent research, combine theory and practice, and apply their skills and knowledge to come up with a solution to a problem [14]. In fact, PBL is very commonly employed in higher education across a variety of subject areas, from those relating to the health sciences to those pertaining to engineering [15,16].
According to a study by [5], the main benefits of active learning are in agreement with the analytical and reflective understanding of concepts in all subject areas, leading students to higher levels of understanding [6,7] (see Table 1). But, there is also enthusiasm and deeper understanding of concepts by students and more time working with teachers [7,8,17]. Additionally, students discuss, listen, learn from their peers, and even contribute to interesting discussions [9], increasing their motivation and positive attitudes towards learning [10,11,12,18]. Active learning is highly recommended for the development of higher order thinking skills (HOTS) [4], which are essential for engineering projects and related disciplines in the field of engineering education [13,14].
Table 1. Benefits of active learning.
The motivation of this study was centered on the students who obtained low grades in electromagnetism in Electrical Engineering, but we know that this is a general behavior in all careers that involve physics subjects; therefore, we look forward to offering our colleagues a redesigned course of electromagnetism to help raise student grades and learning outcomes.
The present study’s novelty derives from the fact that this methodology has been used in prestigious universities worldwide, but it has not yet been implemented in physics subjects belonging to engineering careers. Therefore, this study examines the effect of redesigning the Electromagnetism Course on students’ understanding.
In the opinion of [20,21], the learning strategies developed in backward design include the principles of active learning, regular practice of skills in these activities with direct feedback from the teacher, and demonstration of knowledge and skills in real-world tasks, such as discussions, exhibitions, experiments, and performances [20,21,22,23,24]. Hence, the purpose of this research was to redesign and develop the electromagnetism course offered by the Faculty of Engineering of the University of Magdalena, using the backward design (BD) learning approach [20,21,25,26], towards the development of engineering competencies to foster the implementation of their knowledge and skills through the solution of real engineering problems using the concepts studied in the subject.

3. Theoretical Background

3.1. Backward Design Application in an Electromagnetism Course

The electromagnetism course is an undergraduate general physics course for students of the Faculty of Engineering. The original design of the course is planned for lectures and face-to-face laboratories; some virtual laboratories were developed by the authors of this article and some were taken from the web.
The results for each of the backward design stages are as follows:
Stage 1—Identify the desired results: To identify the desired learning results of the electromagnetism course, the following aspects were analyzed according to the suggestions of [42]:
  • Explain the causes that give rise to the laws that describe electrostatic and magnetostatic phenomena both in a vacuum and in matter;
  • Formulate hypotheses about the known effects of electric and magnetic fields on electric charges for the construction and elaboration of simple and complex electric circuits;
  • Apply the basic concepts of electromagnetism to propose alternative solutions to engineering problems;
  • Reflect on the results of laboratory practice, carrying out an analysis of the implicit physical phenomena and presenting them with the standard criteria followed by the IEEE (Institute of Electrical and Electronics Engineers).
Stage 2—Determine the acceptable evidence: To materialize this stage, the following learning evidence associated with the learning outcomes specified in the previous stage was defined:
  • The generation of laboratory reports that show skills in the interpretation of graphs, argues in response to questions about electromagnetic phenomena, and alternative solutions to problems;
  • The solution of tests and resolution of problems elaborated by competencies according to the guidelines of the MEN (Ministry of Education, Colombia);
  • The conceptualization of tests about the proposed problems at the end of the forums.
  • The elaboration of scientific reports using IEEE standards;
  • Competency-based exam founded on the socialization of the rubric;
  • Videos showing the development of homemade electromagnetic experiences.
To exemplify, some of the evidence provided by the students are presented as follows:
  • IEEE article-type laboratory reports;
  • Essays according to the topics addressed in the forums;
  • Short videos of homemade electromagnetic experiments;
  • Written exams on the thematic axis;
  • Conceptualization test results.
Stage 3—Design the learning experiences and the pedagogy to be used: In this stage, the methodologies and some of the most important contents required to achieve the learning results are described (see Table 2).
Table 2. Learning outcomes, methodology, content, and resources for the implementation of BWD.
Some samples of the learning experiences of the course students are presented below.

3.2. Most Outstanding Learning Experiences Developed in the Course

One of the main learning experiences in the electromagnetism course was the implementation of virtual laboratories (see Figure 3), along with deep learning and previous knowledge, which allowed us to examine factors that favor learning with the use of this tool, in addition to the cognitive demands, and levels required to achieve the proposed competencies and learning outcomes.
Figure 3. Implementation of virtual laboratories where the high degree of attention to the evolution of the virtual experiment added to the high number of concerns raised is highlighted.
These competencies were articulated with a series of terms or verbs that regulate cognitive demand such as “recognize”, “interpret”, “analyze”, etc. Likewise, these verbs did not indicate the degree of difficulty of the activities but rather served as an indicator of the students’ competence.
Subsequently, after the declaration of a health emergency unleashed by COVID-19 in the middle of our school semester, it was necessary to use totally remote virtual laboratories, without the presence of the teacher, as shown in Figure 3. This modified learning aspect was initially raised, mainly with the design and implementation of the own virtual laboratories and those available on the web for the development of skills in engineering students. Figure 4 shows some of the virtual laboratories used, including the virtual laboratories developed at our university and the University of Colorado, United States of America (https://phet.colorado.edu/ (accessed on 15 February 2020)).
Figure 4. Own virtual laboratories and those available on the web developed for the subject of electromagnetism.
The research showed that the implementation of virtual simulations for teaching physics developed scientific skills, such as interpretive, argumentative, and purposeful skills, which improved the learning of physics; thus, this became a great motivation for understanding natural phenomena related to electricity and magnetism. We highlight the hard work behind the structure of the virtual laboratory guides that accompanied the pedagogical intervention conceived with the following structure: name of the laboratory, standard, competencies to develop, problem question, curricular area, achievement to develop, performance indicators, foundation, simulation, observation of the phenomenon, calculations, results, and analysis.
Another relevant learning experience during the development of the course was the home experiments called short experiments by our group (Figure 5), which influenced their mental processes by activating their commitment to this activity, aided by metacognitive strategies that enable them to adequately develop the problem-solving, interpretative and argumentative competence.
Figure 5. Short experiments introduced by the professor: the students had to make the balloon stick to the ceiling and explain the phenomenon from an electrostatic point of view.
It is necessary to highlight that for the preparation of each learning evidence, the guidelines for the test of the Program for International Student Assessment (PISA) were taken into account; that is, the contexts for the preparation of the questions, the competencies that needed to develop in the students, the learning transfers that they had to develop, the levels of the questions, and the work guides with animations and simulations, especially with their pedagogical structure, were taken into consideration. The reasons for which this was necessary were to adapt the questions of the tests to be applied, to adapt questions where the student could carry out the transfer of their learning in class, the elaboration of rubrics that were known by the students (quizzes and exams always emphasized the development of skills (see Figure 6)), and the preparation of guides adapted to own virtual laboratories and those available on the web.
Figure 6. The images show the written test evaluated with a rubric based on the book by the authors Villa and Poblete [43]. This exam design breaks the paradigm of traditional exams.
Additionally, three types of questions were used as follows: those that developed argumentative competence, i.e., the questions of an interpretive nature; and those of a propositional nature. The questionnaire was of the know-pro type, i.e., multiple choice with a single answer, which is characteristic of the test applied by the MEN. For the tests at the end of the period, a structure designed for problem-solving competence was used, and at the end of the tests, a series of questions to develop competency in each unit for the qualification of the tests was devised based on the text by [43] using a rubric.

4. Results

In this article, we present the results of implementing the backward design method and its pedagogical potential in teaching the subject of electricity and magnetism offered by the Faculty of Engineering to its students. Figure 7 shows the first phase of the use of the methodology, applying an entrance test to 94 students, in which levels of learning and development of argumentative, interpretive, and propositional skills were evaluated. The analysis and tabulation of the results obtained were framed according to the evaluation criteria stipulated by the Ministry of National Education, Colombia. According to the results obtained in the tests applied, at the beginning and the end of the course, an improvement in the performance of the students was observed with respect to each of the evaluated competencies, where a low level of competence was observed at the beginning of the course (See Figure 7a), while the final test reflects a significant increase in the development of skills with more than 78% of correct answers (See Figure 7b).
Figure 7. Results of the statistics that compare the scores of the engineering students before and after the test, with questions that contained the style of the Colombian State tests (Saber-Pro).
Our parameter to observe is the Hake factor [44], whose formula is a statistical indicator of how much the Physics class students have learned within the context of a particular didactic methodology. The formula to evaluate this is based on the following mathematical expression:
h = % p o s t e s t − % p r e t e s t 100 − % p r e t e s t
The population to which the test was applied were engineering students, the test consisted of 15 questions endorsed by the MEN, which are used in the state test at the national level. This provided more reliability for the application of the test. The results obtained from the pre-test are organized in Table 3, whereas the post-test data are included in Table 4. The entire group was analyzed, taking into account the percentage of correct answers at the beginning and the end of the course. The Hake factor can be easily calculated from the obtained data.
Table 3. Tabulation of pre-test results.
Table 4. Tabulation of post-test results.
The following general criterion was used to appreciate these quantitative results. The criterion that can be considered is the following:
A low Hake gain is considered to be ≤ 0.3 , a medium Hake gain is 0.3 < h < 0.7 , and a high learning gain is h > 0.7 . By performing our calculations, we obtained:
h = % p o s t t e s t − % p r e t e s t 100 − % p r e t e s t = 79 % − 21 % 100 − 21 % = 58 % 79 % = 0.73
As we can see from the applied methodology, the learning gain indicated by the Hake factor for learning electromagnetic physics in higher education was medium, and in the Faculty of Engineering of the University of Magdalena, it took one year to develop the investigation.
The results showed that the level of learning achieved by students via the implementation of virtual laboratories developed on the Unity platform at our Universidad del Magdalena (Colombia), as well as the virtual experiences of the University of Colorado (United States of America), have contributed to their academic growth towards the resolution of analytical problems (purposive), understanding the graphs of the results obtained in each virtual laboratory (interpretative), and active participation in discussion forums on electromagnetic phenomena (argumentative). We believe that the students managed to synthesize their analytical and computational skills, becoming better prepared to solve real problems in their training as engineers (see Figure 8).
Figure 8. Normal distribution graph of the grades (0–100) obtained by engineering students after solving the traditional electromagnetism exam and the exam designed by our work group using the backward design methodology.
Our course is based on an explicit need to achieve a deep knowledge of electromagnetism that promotes the scope of general and specific skills directed using the backward design method, rubrics, and virtual laboratories. This methodology additionally allows instructors to more clearly identify the difficulties of each student, considering the backward design, but also reveals potentialities in a particular way, given that the evaluation of the course is based on exams and laboratory reports designed in accordance with carefully designed rubrics and discussion forums on real problems where electromagnetism is applied. In addition, creating a set of survey-like micro-tests on specific details prior to each class is useful to obtain an idea of the academic profile of the students and develop motivation before the course begins.

5. Conclusions

The redesign and implementation of the Electromagnetism Course by using BD and the results obtained in this research are directly related to the United Nations Sustainable Development Goal “Quality Education”, which promotes inclusive and equitable education. Considering quality in education, the electromagnetic course was redesigned using BD as a response to the low scores of the students of the electromagnetism course carried out in a traditional way and whose foundation was based only on the contents, without delving into the development of skills or the determination of learning outcomes previously established for the subject. Backward design is a methodology with a pedagogical basis in constructivism, and it is an indisputable pillar of engineering careers because it generates tools that allow one to build their own procedures to solve real problems as well as a complementary strategy of the CDIO Initiative (conceive, design, implement, and operate real-world systems and products) whose curricular planning and assessment is results-based. The CDIO approach uses active learning tools, such as group projects and problem-based learning, to better equip engineering students with technical knowledge, as well as communication and professional skills. In addition, the CDIO Initiative provides resources for instructors at member universities to improve their teaching skills [45].
The contributions made by the virtual laboratories, short experiments, discussion forums, experimental videos, and the new competency-based exam proposal allowed the class to become more pleasant, and more students noticed that their learning and understanding of electromagnetic phenomena in the activities carried out in the written tests improved significantly. The results obtained indicate a high favorability, both in the opinion of the students about their learning experience of electromagnetic phenomena, showing a positive attitude and an improvement in the development of skills evidenced in the final assessments. It is necessary to highlight the significant progress in the apprehension about the actions and conceptualizations of the subject being studied. It was also evident that the students presented difficulties in developing and working on each of the competencies via the virtual tool with the pedagogical didactic guides due to the demands of a greater critical and creative value when approaching the problems. It is important to keep in mind that this way of working motivated the students to be more committed when it came to contributing positively to their classes. Finally, it was verified that the virtual simulations mediated with the didactic-pedagogical guides make a perfect combination because they facilitate the teaching and development of cognitive abilities, also favoring other types of competencies.

Author Contributions

Conceptualization, J.G. and L.M.; methodology, R.A.; software, J.G.; validation, J.D.L.H., H.S. and L.M; formal analysis, R.A.; investigation, J.G.; resources, H.S.; data curation, J.D.L.H.; writing—original draft preparation, H.S.; writing—review and editing J.G.; project administration, J.G.; funding acquisition, H.S. All authors have read and agreed to the published version of the manuscript.

Funding

The research is funded by Universidad del Magdalena, Colombia.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CDIOConceive, Design, Implement, and Operate real-world systems and products
BDBackward Design
MENMinistry of Education, Colombia
PISAProgram for International Student Assessment
IEEEInstitute of Electrical and Electronics Engineers
HOTSHigher Order Thinking Skills

References

  1. OECD. The Nature of Learning: Using Research to Inspire Practice; Educational Research and Innovation; Dumont, H., Istance, D., Benavides, F., Eds.; OECD: Paris, France, 2010; ISBN 978-92-64-08647-0. [Google Scholar]
  2. UNESCO. Education for Sustainable Development Toolkit; UNESCO: Paris, France, 2006. [Google Scholar]
  3. Kamruzzaman, M.M.; Alanazi, S.; Alruwaili, M.; Alshammari, N.; Elaiwat, S.; Abu-Zanona, M.; Innab, N.; Mohammad Elzaghmouri, B.; Ahmed Alanazi, B. AI- and IoT-Assisted Sustainable Education Systems during Pandemics, Such as COVID-19, for Smart Cities. Sustainability 2023, 15, 8354. [Google Scholar] [CrossRef] [Scilit]
  4. Kanetaki, Z.; Stergiou, C.; Troussas, C.; Sgouropoulou, C. Development of an Innovative Learning Methodology Aiming to Optimise Learners’ Spatial Conception in an Online Mechanical CAD Module During COVID-19 Pandemic. Front. Artif. Intell. Appl. 2021, 338, 31–39. [Google Scholar] [CrossRef] [Scilit]
  5. Kanetaki, Z.; Stergiou, C.; Bekas, G.; Troussas, C.; Sgouropoulou, C. Data Mining for Improving Online Higher Education Amidst COVID-19 Pandemic: A Case Study in the Assessment of Engineering Students. Front. Artif. Intell. Appl. 2021, 338, 157–165. [Google Scholar] [CrossRef] [Scilit]
  6. Hernández-de-Menéndez, M.; Guevara, A.V.; Martínez, J.C.T.; Alcántara, D.H.; Morales-Menendez, R. Active Learning in Engineering Education. A Review of Fundamentals, Best Practices and Experiences. Int. J. Interact. Des. Manuf. 2019, 13, 909–922. [Google Scholar] [CrossRef] [Scilit]
  7. Ford, N. Recent Approaches to the Study and Teaching of ‘Effective Learning’ in Higher Education. Rev. Educ. Res. 1981, 51, 345–377. [Google Scholar] [CrossRef]
  8. Freeman, S.; Eddy, S.L.; McDonough, M.; Smith, M.K.; Okoroafor, N.; Jordt, H.; Wenderoth, M.P. Active Learning Increases Student Performance in Science, Engineering, and Mathematics. Proc. Natl. Acad. Sci. USA 2014, 111, 8410–8415. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  9. Asok, D.; Abirami, A.M.; Angeline, N.; Lavanya, R. Active Learning Environment for Achieving Higher-Order Thinking Skills in Engineering Education. In Proceedings of the 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), Madurai, India, 9–10 December 2016; pp. 47–53. [Google Scholar]
  10. Chen, M.; Lv, C.; Wang, X.; Li, L.; Yang, P. A Critical Review of Studies on Coopetition in Educational Settings. Sustainability 2023, 15, 8370. [Google Scholar] [CrossRef] [Scilit]
  11. Prince, M. Does Active Learning Work? A Review of the Research. J. Eng. Educ. 2004, 93, 223–231. [Google Scholar] [CrossRef] [Scilit]
  12. Johnson, D.W.; Johnson, R.T. Cooperative Learning: The Foundation for Active Learning. Act. Learn. Future 2019, 5, 59–71. [Google Scholar] [CrossRef] [Scilit]
  13. Bruffee, K.A. Sharing Our Toys:Cooperative Learning Versus Collaborative Learning. Change Mag. High. Learn. 1995, 27, 12–18. [Google Scholar] [CrossRef] [Scilit]
  14. Savery, J.R. Overview of Problem-Based Learning: Definitions and Distinctions. Interdiscip. J. Probl. Based Learn. 2006, 1, 1002. [Google Scholar] [CrossRef] [Scilit]
  15. Ricaurte, M.; Viloria, A. Project-Based Learning as a Strategy for Multi-Level Training Applied to Undergraduate Engineering Students. Educ. Chem. Eng. 2020, 33, 102–111. [Google Scholar] [CrossRef] [Scilit]
  16. Ricaurte, M.; Ordóñez, P.E.; Navas-Cárdenas, C.; Meneses, M.A.; Tafur, J.P.; Viloria, A. Industrial Processes Online Teaching: A Good Practice for Undergraduate Engineering Students in Times of COVID-19. Sustainability 2022, 14, 4776. [Google Scholar] [CrossRef] [Scilit]
  17. Cuadrado-Gallego, J.J.; Gómez, J.; Tayebi, A.; Usero, L.; Hellín, C.J.; Valledor, A. LearningRlab: Educational R Package for Statistics in Computer Science Engineering. Sustainability 2023, 15, 8246. [Google Scholar] [CrossRef] [Scilit]
  18. Versteijlen, M.; Wals, A.E.J. Developing Design Principles for Sustainability-Oriented Blended Learning in Higher Education. Sustainability 2023, 15, 8150. [Google Scholar] [CrossRef] [Scilit]
  19. Aguas-Núñez, R.; Vergara-Vásquez, E.L.; Barraza-Heras, C.; Mercado-Garcia, A. Aplicación de la metodología backward design para el diseño curricular de la especialización en gestión y legislación ambiental. In Proceedings of the Encuentro Internacional de Educación en Ingenier, Cartagena, Colombia, 21–24 September 2021. [Google Scholar]
  20. Wiggins, G.; McTighe, J. Undertanding by Design (Curriculum Development); Vanderbilt Center for Teaching: Nashville, TN, USA, 2005; ISBN 978-64686-0-0. [Google Scholar]
  21. Wiggings, G.; McTighe, J. What Is Backward Design? In Understanding by Design; Merrill Prentice Hall: Hoboken, NJ, USA, 2001; pp. 7–19. [Google Scholar]
  22. Dolan, E.; Collins, J. We Must Teach More Effectively: Here Are Four Ways to Get Started. Mol. Biol. Cell 2015, 26, 2151–2155. [Google Scholar] [CrossRef] [Scilit]
  23. Fink, L. Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses; Wiley: Hoboken, NJ, USA, 2005. [Google Scholar]
  24. Adams, T.; Jameel, S.M.; Goggins, J. Education for Sustainable Development: Mapping the SDGs to University Curricula. Sustainability 2023, 15, 8340. [Google Scholar] [CrossRef] [Scilit]
  25. Handelsman, J.; Ebert-May, D.; Beichner, R.; Bruns, P.; Chang, A.; DeHaan, R.; Gentile, J.; Lauffer, S.; Stewart, J.; Tilghman, S.M.; et al. Scientific Teaching. Science 2004, 304, 521–522. [Google Scholar] [CrossRef] [Scilit]
  26. Sharkey, S.; Weimer, M. Learner-Centered Teaching: Five Key Changes to Practice. Teach. Sociol. 2003, 31, 251. [Google Scholar] [CrossRef] [Scilit]
  27. Yin, R. Case Study Research: Design and Methods; Sage: Los Angeles, CA, USA, 2014. [Google Scholar]
  28. Merriam, S. Qualitative Research: A Guide to Design and Implementation; Jossey-Bass: San Francisco, CA, USA, 2009. [Google Scholar]
  29. Stake, R. Multiple Case Study Analysis; Guilford: New York, NY, USA, 2006. [Google Scholar]
  30. Hosseini, H.; Chalak, A.; Biria, R. Impact of Backward Design on Improving Iranian Advanced Learners’ Writing Ability: Teachers’ Practices and Beliefs. Int. J. Instr. 2019, 12, 33–50. [Google Scholar] [CrossRef] [Scilit]
  31. Wiese, J.; Buehler, R.; Griffin, D. Backward Planning: Effects of Planning Direction on Predictions of Task Completion Time. Judgm. Decis. Mak. 2016, 11, 147–167. [Google Scholar] [CrossRef] [Scilit]
  32. Michael, N.A.; Libarkin, J.C. Understanding by Design: Mentored Implementation of Backward Design Methodology at the University Level. Bioscene J. Coll. Biol. Teach. 2016, 42, 44–52. [Google Scholar]
  33. Richards, J. Curriculum Approaches in Language Teaching: Forward, Central, and Backward Design. RELC J. 2013, 44, 5–33. [Google Scholar] [CrossRef] [Scilit]
  34. Kantorski, B.; Sanford-Dolly, C.; Commisso, D.; Pollock, J. Backward Design as a Mobile Application Development Strategy. Educ. Technol. Res. Dev. 2019, 67, 711–731. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  35. Paesani, K. Redesigning an Introductory Language Curriculum: A Backward Design Approach. L2 J. 2017, 9. [Google Scholar] [CrossRef] [Scilit]
  36. OCDE. Marco de Evaluación y de Análisis de PISA Para El Desarrollo-Lectura, Matemáticas Y Ciencias; Organización para la Cooperación y el Desarrollo Económicos: Paris, France, 2017. [Google Scholar]
  37. González, J.D.; Escobar, J.H.; Sánchez, H.; De la Hoz, J.; Beltrán, J.R.; Arciniegas, S.M.; Martínez, L.S. Implementation and Evaluation of an Effective Computational Method That Promotes the Conceptualization of Newton’s Laws of Motion. J. Phys. Conf. Ser. 2019, 1247, 12042. [Google Scholar] [CrossRef] [Scilit]
  38. González, J.D.; Escobar, J.H.; Sánchez, H.; De la Hoz, J.; Beltrán, J.R.; Arciniegas, S.M.; Martínez, L.S. Impact of the Use of Virtual Laboratories of Electromagnetism in the Development of Competences in Engineering Students. J. Phys. Conf. Ser. 2019, 1247, 012018. [Google Scholar] [CrossRef] [Scilit]
  39. González, J.D.; Escobar, J.H.; Beltrán, J.R.; García-Gómez, L.; La Hoz, J.D. Virtual Laboratories of Electromagnetism for Education in Engineering: A Perception. J. Phys. Conf. Ser. 2019, 1391, 012157. [Google Scholar] [CrossRef] [Scilit]
  40. Berland, L.K.; Schwarz, C.V.; Krist, C.; Kenyon, L.; Lo, A.S.; Reiser, B.J. Epistemologies in Practice: Making Scientific Practices Meaningful for Students. J. Res. Sci. Teach. 2015, 53, 1082–1112. [Google Scholar] [CrossRef] [Scilit]
  41. Hofer, B.; Pintrich, P. The Development of Epistemological Theories: Beliefs About Knowledge and Knowing and Their Relation to Learning. Rev. Educ. Res. 1997, 67, 1088. [Google Scholar] [CrossRef]
  42. Kennedy, D.; Hyland, Á.; Ryan, N. Writing and Using Learning Outcomes: A Practical Guide; University College Cork: Cork, Ireland, 2007. [Google Scholar]
  43. Villa, A.; Poblete, M. Aprendizaje Basado En Competencias. Una Propuesta Para La Evaluación de Las Competencias Genéricas. Estud. Sobre Educ. 1970, 197, 3342. [Google Scholar] [CrossRef] [Scilit]
  44. Hake, R.R. Interactive-Engagement versus Traditional Methods: A Six-Thousand-Student Survey of Mechanics Test Data for Introductory Physics Courses. Am. J. Phys. 1998, 66, 64–74. [Google Scholar] [CrossRef] [Scilit]
  45. Sun, Y.; Fu, R. IKP-CDIO: Exploration and practice on teaching framework of embedding ideological education into engineering curriculum. In Proceedings of the ICEEL 21: 2021 5th International Conference on Education and E-Learning, Virtual, 5–7 November 2021; Association for Computing Machinery: New York, NY, USA, 2022; pp. 185–190. [Google Scholar] [CrossRef] [Scilit]
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