Scientific Method’s Application Contexts for the Development and Evaluation of Research Skills in Higher-Education Learners
Abstract
:1. Introduction
2. Methodology
2.1. Search on Databases
2.2. Inclusion/Exclusion Criteria
2.3. Review Process
2.4. Data Extraction and Analysis
2.5. Risk of Bias
3. Findings
3.1. Country, Source, Content Area, and Educational Context
3.2. Methodology and Assessment Tools
3.3. Research Skills and Students Impacted
3.4. What Is the Association between the Scientific Method and the Development of Research Skills by Higher Education Learners?
3.4.1. Critical Thinking and Problem Solving
- Montgomery et al. [39] developed a teaching–learning process using the segmented scientific method so that students could master each step separately. Students developed critical thinking by providing precise and complete answers to research questions. This protocol has been used for 18 consecutive years.
- Jeffrey et al. [51] surveyed the attitudes of first-year biology students toward components of the nature of science. It was found that elements such as the scientific method improved the attitude toward science and, even more, towards an expert knowledge of science. In addition, the study mentions that it is through scientific research that skills such as critical thinking and problem-solving are obtained, which are required to interpret the results of an experiment.
- Baker and DeDonno [41] mentioned that critical thinking skills may be associated with the knowledge and understanding of the scientific method. Self-efficacy in STEM students compared to non-STEM students was caused by the obligated teaching of the scientific method.
- In their work, Felix-Herran et al. [22] also used the scientific method for students to innovate solutions to solve challenges. The students had to understand the steps of the scientific method to solve problems in programming crewless aerial vehicles from a practical approach. The students perceived that the scientific method guided immersive activities to solve a challenge.
3.4.2. Other Skills
- Prevatt [47] found that teaching research, including the scientific method steps, can lead students to develop critical thinking, oral and written communication, statistical analysis, and other research skills.
- Knowing the scientific method influenced the increment in employability skills of teacher candidates, according to Hadromi et al. [55], since it helped candidates associate the learning material with real contexts. Creativity, but mainly workplace and relationship skills, were also increased.
- Bayram [12] wrote that, in social sciences curricula, the approach is to equip students with observation, communication, cooperation, problem-solving, and research skills while teaching the concept of scientific research, which is carried out through the scientific research method.
- Villanueva et al. [49] showed that in cross-disciplinary skills, such as bioengineering, students can develop engineering problem-solving, critical thinking, and collaboration) as well as scientific skills (e.g., creating and carryout out a scientific investigation) by encouraging the use and knowledge of the scientific method,.
- Quiroga and Choate [52] suggested that more realistic experiences of the scientific method occur when using online virtual experiments in which the student takes their own pace. In addition to developing research skills (experimental design, data analysis, statistics, and report writing), exposing students to experimental techniques and methodologies and facilitating the development of employability skills, such as communication, quantitative reasoning, problem-solving, and teamwork, can help to reduce the noise of the laboratory environment.
3.5. Under What Context (Theoretical or Laboratory Courses) Is Applying the Scientific Method Helpful in Developing Research Skills?
4. Discussion
- Instructors providing field notes when students solve challenges in fieldwork;
- The publication of scientific articles by students;
- Rubrics provided for the design of experiments;
- Written reports and exams;
- Self-perception or self-assessment surveys;
- Reported standardized instruments;
- Surveys before and after a course;
- The use of interviews or focus groups.
- Self-efficacy;
- Critical thinking;
- Intellectual curiosity;
- Scientific communication;
- Data processing;
- Problem resolution;
- Use of information technologies.
- Fieldwork (FW);
- Virtual experiments;
- Inquiry-based learning (IBL);
- Problem-based learning (PBL);
- Challenge-based learning (CBL).
Limitations and Future Studies
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Institution/Organization | Research Skills/Competences |
---|---|
United Nations Educational, Scientific and Cultural Organization (UNESCO) https://unesdoc.unesco.org (accessed on 28 May 2022) | Cognitive Information processing (data interpretation and analysis) Problem-solving Engineering thinking Scientific investigation Computational thinking Design thinking, creativity, and innovation |
Organization for Economic Co-operation and Development (OECD) https://www.oecd.org/education/2030-project/ (accessed on 28 May 2022) | Critical thinking Problem-solving Learning to learn Co-cooperative skills |
National Research Council Framework (USA) https://www.cgcs.org/domain/125 (accessed on 28 May 2022) | Asking questions and defining problems Developing and using models Planning and carrying out investigations Analyzing and interpreting data Using mathematics Computational thinking Constructing explanations Designing solutions Engaging in arguments from evidence Obtaining, evaluating, and communicating information |
The National Science Foundation (USA) https://www.nsf.gov/ (accessed on 29 May 2022) | Problem-solving Creativity Thinking analysis Teamwork Independent thinking Initiative Digital literacy |
Global STEM alliances (USA) https://www.nyas.org/ (accessed on 29 May 2022) | |
Next generation Science Standards (USA) https://www.nextgenscience.org/framework-k-12-science-education (accessed on 29 May 2022) | Asking questions and defining problems Developing and using models Planning and carrying out investigations Analyzing and interpreting data using mathematical and computational thinking Constructing explanations and designing solutions Engaging in arguments using evidence Obtaining, evaluating, and communicating information |
Biological and Biotechnological Science Research Council (UK) https://www.ukri.org/councils/bbsrc (accessed on 29 May 2022) | Innovation Technology development integrated information and resources Data integration and modeling Research translation and application |
Inclusion Criteria | Exclusion Criteria |
---|---|
1. The article must contain information about the scientific method and its relation to developed research skills. | 1. The study does not mention the scientific method elements. |
2. The study was conducted in an educational learning environment (higher education). | 2. The study only includes opinions about scientific method practice. |
3. The study is related to any content area (chemistry, physics, biology, health education, natural sciences). | 3. The study is not accessible or only published as an abstract. |
4. The article is a peer-reviewed or conference paper. | 4. The study is not written in the English language. |
5. The article was published from 2000 to 2022. | 5. The study is not empirical. |
ID | Country | Journal or Conference | Discipline or Content Area | Educational Context | Ref. |
---|---|---|---|---|---|
M1 | USA | Journal of Chemical Education | Physical and Environmental Sciences Chemistry, Physics, and Engineering Natural Science, Chemistry Educational Studies | The regional summer research program of roughly 35 students per year | [39] |
M2 | Mexico | Electronics | Engineering and Sciences Chemical Sciences Robotics and Advanced Manufacturing Industrial Engineering | Innovation week for bachelor’s students in mechatronics engineering (6–9th semester) and bachelor’s students in digital systems and robotics (7th semester) | [22] |
M3 | Indonesia | Journal of Physics: Conference Series | Geoscience, Physics Earth Science Studies Mathematics and Natural Sciences | Fieldwork relevant to geoscience themes | [40] |
M4 | USA | The International Journal of Learning in Higher Education | STEM vs. non-STEM Gender studies | STEM vs. non-STEM | [41] |
M5 | The Netherlands | Teaching Sociology | Sociology | Replication course: social science research, with its hands-on application of quantitative skills to substantive questions | [42] |
M6 | Russia | Education Research International | Information Systems Mathematics and Legal Informatics | Online course in the basic scientific research | [43] |
M7 | South Africa | South African Journal of Education | Education | Faculty education programs | [44] |
M8 | South Africa | African Journal of Research in Mathematics, Science and Technology Education | Teacher Education Education | Six lecturers of biology, chemistry, and physics subjects | [45] |
M9 | USA | IEEE Frontiers in Education Conference | Engineering and Sciences STEM | Saturday, one-credit hour, research preparatory seminar course | [46] |
M10 | USA | Journal of performance of constructed facilities | Civil and Coastal Engineering | Forensic engineering course for civil engineers | [47] |
M11 | Australia | Higher Education Research & Development | Learning Development Human Biology, Educational studies | Lectures on human biology for undergraduate students | [48] |
M12 | USA | American Society for Engineering Education | Bioengineering, Bioprocess Scale-Up Engineering | An undergraduate introductory-level bioengineering course | [49] |
M13 | USA | CBE-Life Sciences Education | Biology, Science Education Life Science | Undergraduate biology majors | [50] |
M14 | Canada | CBE-Life Sciences Education | Biology, Science Education | Students enrolled in first-year biology classes | [51] |
M15 | Australia | Advances in Physiology Education | Physiology, Computer Based-Simulation Biomedicine, Science Teaching | Students in the second year of their three-year degree program | [52] |
M16 | Australia | Studies in Higher Education | Gender Studies, Empowerment Educational Studies | Interviews one year after degree completion | [53] |
M17 | USA | CBE—Life Sciences Education | Bioscience, Graduate Education Cell Biology, STEM | First-year doctoral students enrolled in the principles of molecular biology | [54] |
M18 | Turkey | Participatory Educational Research | Social Studies, Educational Research Science Education | Social studies faculty | [12] |
M19 | Indonesia | International Journal of Instruction | Automotive Engineering Vocational Studies Science Teaching, Technology | Students of the automotive engineering education program | [55] |
ID | Method (Qualitative, Quantitative, o Mixed) | Data Collection Instrument |
---|---|---|
M1 | Mixed method | Student Assessment of Learning Gains toolset with Likert survey; questions derived from the Undergraduate Research Student Self-Assessment questionnaire. |
M2 | Mixed method | Field notes (individual and group) during the execution of the experiment and an anonymous, individual, 13-item survey. |
M3 | Quantitative-descriptive | All the data were assessed using individual rubrics distributed over and filled by the students. |
M4 | Quantitative | Research Self-Efficacy Scale; Academic Self-Concept. |
M5 | Qualitative | Weekly progress reports and written (anonymous) evaluations. |
M6 | Mixed method | A survey, internal testing of the system and tasks (exercises), peer review when publishing scientific papers, participating in research contests, winning scholarships according to scientific work, taking part in grant competitions at various levels, and test questions for lectures. |
M7 | Mixed method | Questionnaire (14 items). |
M8 | Mixed method | Questionnaire and individual interviews. |
M9 | Qualitative | A focus group. |
M10 | Mixed method | Graded assignments and mid-term and final examinations. |
M11 | Qualitative | A research-skill development framework. |
M12 | Qualitative | Rubrics, knowledge pre- and post-survey, team-based progress reports, quizzes, and oral presentations. |
M13 | Qualitative | A rubric for experimental design. |
M14 | Qualitative | A survey (14 items). |
M15 | Qualitative | A survey (4 items) and usage analytics. |
M16 | Qualitative | Interviews. |
M17 | Qualitative | Pre- and post-course surveys (14 items). |
M18 | Qualitative | Interviews. |
M19 | Quantitative | Scientific approaching learning instruments (employability skills reinforcement). |
ID | Skills | Students |
---|---|---|
M1 | Scientific communication. | 560 |
M2 | Problem-solving, intellectual curiosity (creativity, innovation, and motivation). | 16 |
M3 | Research (scientific problem solving) skills: explaining knowledge required; providing good information; assessing critical information; synthesizing-analyzing and applying new knowledge; and communicating good knowledge. | 32 |
M4 | Research (critical thinking, problem-solving). | 191 |
M5 | Quantitative research skills (statistical and critical thinking). | 20 |
M6 | Choosing a topic of scientific research, scientific search, analysis, data processing, and finding effective solutions using information technology. | 242 |
M7 | Science process skills. | 75 |
M8 | Interpreting data, questioning, observing, the ability to construct an argument, measuring, the ability to design an experiment, problem-solving and critical thinking, recording and communicating information. | 6 |
M9 | Research skills. | 5 |
M10 | Research skills and applying scientific method (first principles skills, technical writing, critical reading, and a knowledge of the civil engineering business). | 16 |
M11 | Knowledge production is based on a framework for research skill development. | 120 |
M12 | Problem-solving, critical thinking, technology literacy, creativity, independent learning, excellent communication, and collaboration skills. | 72 |
M13 | Design of experiments. | 300 |
M14 | Critical-thinking ability and conceptual understanding. | 420 |
M15 | Experimental design, data analysis, and understanding of the core physiological concepts associated with the practical class. | 421 |
M16 | Embark and clarify, find and generate, evaluate and reflect, organize and manage, analyze and synthesize, and communicate and apply. | 130 |
M17 | Self-efficacy and research skills. | 103 |
M18 | Observation, communication, cooperation, and problem-solving. | 391 |
M19 | Effective relationship skills (leadership and flexibility), workplace skills (time management and the use of technologies), and applied knowledge skills (critical thinking and problem-solving). | 450 |
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Vázquez-Villegas, P.; Mejía-Manzano, L.A.; Sánchez-Rangel, J.C.; Membrillo-Hernández, J. Scientific Method’s Application Contexts for the Development and Evaluation of Research Skills in Higher-Education Learners. Educ. Sci. 2023, 13, 62. https://doi.org/10.3390/educsci13010062
Vázquez-Villegas P, Mejía-Manzano LA, Sánchez-Rangel JC, Membrillo-Hernández J. Scientific Method’s Application Contexts for the Development and Evaluation of Research Skills in Higher-Education Learners. Education Sciences. 2023; 13(1):62. https://doi.org/10.3390/educsci13010062
Chicago/Turabian StyleVázquez-Villegas, Patricia, Luis Alberto Mejía-Manzano, Juan Carlos Sánchez-Rangel, and Jorge Membrillo-Hernández. 2023. "Scientific Method’s Application Contexts for the Development and Evaluation of Research Skills in Higher-Education Learners" Education Sciences 13, no. 1: 62. https://doi.org/10.3390/educsci13010062
APA StyleVázquez-Villegas, P., Mejía-Manzano, L. A., Sánchez-Rangel, J. C., & Membrillo-Hernández, J. (2023). Scientific Method’s Application Contexts for the Development and Evaluation of Research Skills in Higher-Education Learners. Education Sciences, 13(1), 62. https://doi.org/10.3390/educsci13010062