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The role of social network analysis as a learning analytics tool in online problem based learning
Background
Social network analysis (SNA) might have an unexplored value in the study of interactions in technology-enhanced learning at large and in online (Problem Based Learning) PBL in particular. Using SNA to study students’ positions in information exchange networks, communicational activities, and interactions, we can broaden our understanding of the process of PBL, evaluate the significance of each participant role and learn how interactions can affect academic performance.
The aim of this study was to study how SNA visual and mathematical analysis can be sued to investigate online PBL, furthermore, to see if students’ position and interaction parameters are associated with better performance.
Methods
This study involved 135 students and 15 teachers in 15 PBL groups in the course of “growth and development” at Qassim University. The course uses blended PBL as the teaching method. All interaction data were extracted from the learning management system, analyzed with SNA visual and mathematical techniques on the individual student and group level, centrality measures were calculated, and participants’ roles were mapped. Correlation among variables was performed using the non-parametric Spearman rank correlation test.
Results
The course had 2620 online interactions, mostly from students to students (89%), students to teacher interactions were 4.9%, and teacher to student interactions were 6.15%. Results have shown that SNA visual analysis can precisely map each PBL group and the level of activity within the group as well as outline the interactions among group participants, identify the isolated and the active students (leaders and facilitators) and evaluate the role of the tutor. Statistical analysis has shown that students’ level of activity (outdegree r
s
(133) = 0.27,
p
= 0.01), interaction with tutors (r
s
(133) = 0.22,
p
= 0.02) are positively correlated with academic performance.
Conclusions
Social network analysis is a practical method that can reliably monitor the interactions in an online PBL environment. Using SNA could reveal important information about the course, the group, and individual students. The insights generated by SNA may be useful in the context of learning analytics to help monitor students’ activity.
Journal Article
The Effects of Problem-Based, Project-Based, and Case-Based Learning on Students’ Motivation: a Meta-Analysis
In this meta-analysis, we examined the effects on students’ motivation of student-centered, problem-driven learning methods compared to teacher-centered/lecture-based learning. Specifically, we considered problem-based (PBL), project-based (PjBL), and case-based learning (CBL). We viewed motivation as a multifaceted construct consisting of students’ beliefs (competence and control beliefs), perceptions of task value (interest and importance), and reasons for engaging in tasks (intrinsic or extrinsic). In addition, we included students’ attitudes toward school subjects (e.g., science). We included 139 subsamples from the 132 included reports (83 PBL, 37 PjBL, and 19 CBL subsamples). Overall, PBL, PjBL, and CBL had a small to moderate, heterogeneous positive effect (d = 0.498) on motivation. Moderator analyses revealed that larger effect sizes were found for students’ beliefs, values, and attitudes compared to students’ reasons for studying. No differences were found between the three instructional methods on motivation. However, effect sizes were larger when problem-driven learning was applied in a single course (when compared to a curriculum-level approach). Larger effects were also found in some academic domains (i.e., healthcare and STEM) than in others. While the impact of problem-driven learning on motivation is generally positive, the intricate interplay of factors such as academic domain and implementation level underscores the need for a nuanced approach to leveraging these instructional methods effectively with regard to increasing student motivation.
Journal Article
Pharmacology education in the medical curriculum: Challenges and opportunities for improvement
The knowledge and application of pharmacology is essential for safe prescribing and administration of drugs. In this narrative review, the challenges to pharmacology education in the medical curricula were broadly identified to include issues around content and pedagogies. The increasing number of approved drugs and drug targets, expanding field of pharmacology and the often‐changing treatment guidelines and board‐defined competencies can make pharmacology education in the medical curriculum daunting. There has been a consensus around the deployment of innovative medical curricula with emphasis on vertical and horizontal integration. This strategy, effective as it has been, presents new challenges to pharmacology education. As a discipline often perceived by students to be hard‐to‐learn, the future of pharmacology education must include heavy reliance on active learning strategies. The continuing utilization of problem‐based, team‐based and case‐based learning can be complemented with personalized learning which aims to identify the learning gaps in individual students. Technology‐inspired student engagement can foster pharmacology learning and retention. Early exposure to pharmacology from premedical preparation through an enduring across‐the‐level integration can be an effective way to enhance pharmacology learning in the medical curricula.
Journal Article
The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning
The prevalence of project-based learning (PBL) has increased significantly, contributing to serious discussions about its advent. PBL’s critics doubt whether accentuating the practice supports teachers in using a technocratic method in education, instead of promoting instruction that is responsive to students’ ideas. Thus, this study aims to develop on using the effectiveness of the PBL approach, as a way to engage students in learning as well as to incorporate literature on the PBL method for educational purposes. The research hypotheses therefore measure the influence of the PBL method on collaborative learning, disciplinary subject learning, iterative learning, and authentic learning, which, in turn, engage students in learning. To achieve the research purpose, a questionnaire was employed as the main method of collecting data and dispensed to 124 teachers who were using the PBL approach. Structural equation modeling (SEM), a quantitative research method, was employed to obtain the findings. A significant relation was found between the PBL method and collaborative learning, disciplinary subject learning, iterative learning, and authentic learning, which, in turn, produced student engagement. The results show that the PBL technique improves student engagement by enabling knowledge and information sharing and discussion. Thus, the PBL approach is highly recommended for educational use by students and should be encouraged in universities.
Journal Article
Scaffolding medical student knowledge and skills: team-based learning (TBL) and case-based learning (CBL)
Background
Two established small-group learning paradigms in medical education include Case-based learning (CBL) and Team-based learning (TBL). Characteristics common to both pedagogies include the use of an authentic clinical case, active small-group learning, activation of existing knowledge and application of newly acquired knowledge. However, there are also variances between the two teaching methods, and a paucity of studies that consider how these approaches fit with curriculum design principles. In this paper we explore student and facilitator perceptions of the two teaching methods within a medical curriculum, using Experience based learning (ExBL) as a conceptual lens.
Methods
A total of 34/255 (13%) Year 2 medical students completed four CBLs during the 2019 Renal and Urology teaching block, concurrent to their usual curriculum activities, which included weekly TBLs. Questionnaires were distributed to all students (
n
= 34) and CBL facilitators (
n
= 13). In addition, all students were invited to attend focus groups. Data were analysed using descriptive statistics and thematic analysis.
Results
In total, 23/34 (71%) of students and 11/13 (85%) of facilitators completed the questionnaires. Twelve students (35%) participated in focus groups. Findings indicate their experience in CBL to be positive, with many favourable aspects that built on and complemented their TBL experience that provided an emphasis on the basic sciences. The learning environment was enriched by the CBL framework that allowed application of knowledge to solve clinical problems within the small groups with consistent facilitator guidance and feedback, their capacity to focus discussion, and associated efficiencies in learning.
Conclusion
While the TBL model was integral in developing students’ knowledge and understanding of basic science concepts, the CBL model was integral in developing students’ clinical reasoning skills. The strengths of CBL relative to TBL included the development of authentic clinical reasoning skills and guided facilitation of small group discussion. Our findings suggest that delivery of a medical curriculum may be enhanced through increased vertical integration, applying TBL in earlier phases of the medical program where the focus is on basic science principles, with CBL becoming more relevant as students move towards clinical immersion.
Journal Article