Improving student expectations of learning in a problem-based environment

Concept maps as a novel assessment tool in medical education

Background: Concept Maps (CMs) have been used in a Problem-Based Learning (PBL) setting as  complementary tools to current educational techniques for enhancing medical student knowledge and critical thinking. We conducted a pilot study that used CMs in a PBL-setting to introduce a measure from the field of graph theory and investigate its usefulness as a means of CM quantitative quality assessment. Methods: Participants were first-year medical students with no or minor prior CM experience. All participants completed questionnaires (demographic information and assessment of learning style) to establish a baseline measure against which the change in clinical and critical thinking was assessed. They were asked to prepare CMs for three PBL cases, and following the submission of the CMs they completed semi-structured critical and clinical thinking questionnaires. A clinical expert also created corresponding “benchmark” CMs for comparison. Qualitative (Wordclouds) and quantitative (graph theory) analysis provided a summary of the key concepts and quantified the CM quality respectively, compared to the “benchmark” CMs. Results: It was  found that graph-theoretical measures (graph density, modularity) were suitable for distinguishing between CMs that captured more in-depth knowledge, compared to CMs that contained simpler associations. Questionnaires also revealed that CMs helped students recall information, organize material in a concise manner, prepare better for their PBL session and provided a good revision tool. Conclusions: We have shown that a graph-theoretical approach to quantitative CM assessment is feasible using measures such as graph density and modularity.

Concept maps as a novel assessment tool in medical education

Background: We conducted a pilot study to investigate the use of Concept Maps (CMs) in a Problem-Based Learning (PBL) setting as a complementary tool to current educational techniques for enhancing medical student knowledge and critical thinking. The main focus of the pilot was to introduce a measure from the field of graph theory and investigate its usefulness as a means of CM quantitative quality assessment. Methods: Participants were first-year medical students with no or minor prior CM experience. All participants completed questionnaires (demographic information and assessment of learning style) to establish a baseline measure against which the change in clinical and critical thinking was assessed. They were asked to prepare CMs for three PBL cases, and following the submission of the CMs they completed semi-structured critical and clinical thinking questionnaires. A clinical expert also created corresponding “benchmark” CMs for comparison. Qualitative (Wordclouds) and quantitative (graph theory) analysis provided a summary of the key concepts and quantified the CM quality respectively, compared to the “benchmark” CMs. Results: Questionnaires revealed that CMs helped students recall information, organize material in a concise manner, prepare better for their PBL session and provided a good revision tool. It was also found that graph-theoretical measures (graph density, modularity) were suitable for distinguishing between CMs that captured more in-depth knowledge, compared to CMs that contained simpler associations. Conclusions: We have shown that it is possible to quantify CM quality using graph-theoretical measures, such as graph density and modularity.

Concept maps as a novel assessment tool in medical education

Background: We conducted a pilot study to investigate the use of Concept Maps (CMs) in a Problem-Based Learning (PBL) setting as a complementary tool to current educational techniques for enhancing medical student knowledge and critical thinking. We also introduced a measure from the field of graph theory as an objective means of CM quality assessment. Methods: Participants were first-year medical students with no or minor prior CM experience. All participants completed questionnaires (demographic information and assessment of learning style) to establish a baseline measure against which the change in clinical and critical thinking was assessed. They were asked to prepare CMs for three PBL cases, and following the submission of the CMs they completed semi-structured critical and clinical thinking questionnaires. A clinical expert also created corresponding “benchmark” CMs for comparison. Qualitative (Wordclouds) and quantitative (graph theory) analysis provided a summary of the key concepts and quantified the CM quality respectively, compared to the “benchmark” CMs. Results: Questionnaires revealed that CMs helped students recall information, organize material in a concise manner, prepare better for their PBL session and provided a good revision tool. It was also found that graph-theoretical measures (graph density, modularity) were suitable for objectively distinguishing between CMs that captured more in-depth knowledge, compared to CMs that contained simpler associations. Conclusions: We have shown that it is possible to quantify CM quality using graph-theoretical measures, such as graph density and modularity.

Discovering Entrepreneurship Competencies through Problem-Based Learning in Higher Education Students

The increase in student engagement in the learning process has driven educators to use more dynamic pedagogical methodologies. Several studies have shown evidence of increased interest in learning when real-world problems are integrated into the learning environment. This paper presents the competencies developed by higher education students through application of the problem-based learning (PBL) methodology in higher education courses. The research begins with the identification of a set of competencies developed by higher education students in other studies developed and reported in the last five years and includes them in a survey to analyze the level of development of those competencies when problem-based learning is applied in university courses. To identify the competencies developed by applying the problem-based learning methodology, the research employed a document analysis and a survey of the students that participated in the experimental application. The research questions “What are the competencies developed by students in problem-based learning?” and “Are the competencies identified by the students sufficiently learned in universities?” guided the study. The competencies found by the students were identified through a questionnaire given as an online survey to 76 students. The key outcome of the research is the identification in the bachelor courses of the competencies perceived as essential by students participating in the application of PBL in terms of their advancement.

Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review

This paper seeks to identify the characteristics of studies of self-regulated learning that consider the use of technology-enriched environments in higher education. To this end, a review was conducted of the scientific literature during the period 2015–2021 in various scientific databases. The analysis identified 42 research papers that met the inclusion and exclusion criteria. The results show that this topic has been gaining interest among researchers and the main strategies developed to self-regulate students in academic virtual environments. On the other hand, classical self-regulated learning models underpin most of the studies reviewed; Zimmermann’s approaches, or those derived from his work, are the most frequent. As regards the methodology adopted, the preferred focus is quantitative; the questionnaire is the most used for data collection. Most of the research was carried out with students studying for different university degrees; the most-analysed technology tools were LMS platforms.