The effectiveness of interactive online tutorials in first-year large biology course
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Notice bibliographique
Résumé
Purpose Online resources can be helpful for students and can augment the content presented in learning environments. A team consisting of four biologists, a graduate student, instructional designer and media developers collaborated on the design, development and evaluation of first-year biology online tutorials in a Canadian University. The tutorials were designed to address knowledge gaps resulting in low success rates and attrition of first-year students in biology. The decrease in the number of students in STEM has alarmed educators, prompting a call for efforts to increase STEM majors in universities. Large class sizes, such as first year biology with ∼900 registrants annually, with detail-oriented, content-heavy loads, can result in low success rates and attrition. Design/methodology/approach Active learning methods, including online formative assessments, which encourage student engagement in course material, can be effective in large introductory science classes, and thus, the authors provided engagement with tutorial online resources. The authors identified the tutorial topics by analyzing previous years' tests, student feedback and pedagogical research in undergraduate biology. The top five topics identified as common misconceptions or troublesome concepts within the course were selected. Standard instructional design processes were used to produce high-quality online tutorials. Tutorials included learning materials, videos, animations, self-assessments, reflective questions and badges to facilitate deep learning of the topics. Effectiveness of the tutorials was evaluated using quantitative methods and quasi-experimental design to compare the student learning results between the control year (without tutorials) and the year when tutorials were offered. Pre- and posttests measuring conceptual understanding were administered to assess gains in student learning. Additionally, student engagement was measured using the Classroom Survey of Student Engagement (CLASSE), and data from learning management system was collected. Findings Results of the study show that the tutorials were an effective means of providing supplementary assistance to students as well as fostering a gain in students' levels of engagement with the course. Data analysis indicates that there was a significant increased gain in learning of core concepts in biology. Specifically, using formative online assessments resulted in measurable learning gains in students who participated voluntarily, in comparison to students who chose not to engage in self-paced quiz testing. Originality/value As seen from the description earlier, the tutorials, and this project, provide suitable university-level complexity to address specific learning gaps in the first year course. They provide a valuable service to students in terms of representing content in an alternate format and motivating students as they engaged with videos and self-assessment most frequently. The project adds to the teaching and learning environment with respect to program design, mode of delivery and scheduling by providing self-paced tutorials that focus on specific concepts in biology. Students may review these resources whenever and as often as they feel necessary to better master the concepts. This makes the content applicable for the various preferences for approaches to learning and accommodation requirements found in students. Importantly, using formative online assessments resulted in measurable learning gains in students who participated voluntarily, in comparison to students who chose not to engage in self-paced quiz testing.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,035 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle