Promoting active learning in introductory financial accounting through the flipped classroom design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to describe a classroom design for introductory financial accounting that promotes active learning through a flipped classroom approach. A course learning management system, white-board voice-over video applications, an online homework manager and online tutorials pre-packaged with the course textbook were all adopted to facilitate the flipped classroom. The in-class sessions were refocussed around active learning strategies, including case analysis, concept mapping, solving comprehensive problems, mini lectures with bookends, and small group discussions. Design/methodology/approach – A quasi-experimental design, combined with student surveys, are utilized. A Wilcoxon rank-sum test is used to assess the significance of any difference in student performance between a lecture-based course (control group, n =92) and the flipped classroom course (experimental group, n =97). Student performance is measured based on final exams and overall course grades. Findings – The results suggest that the flipped classroom improved student grade point averages, final exam performance, and pass rates. Both the stronger and weaker students benefited from the technologies and active learning strategies adopted in the flipped classroom. Originality/value – This is the first known study to investigate the efficacy of promoting active learning in introductory financial accounting through a flipped classroom design. This study is valuable for accounting educators, and educators in other similarly technical disciplines, who seek to combat the high failure rates that typically plague complex, technical introductory courses.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it