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Record W599060947

PROBLEM-BASED LEARNING IN A LARGE CLASSROOM SETTING: METHODOLOGY, STUDENT PERCEPTION AND PROBLEM-SOLVING SKILLS

2011· article· en· W599060947 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEDULEARN proceedings · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProblem-based learningFacilitatorLifelong learningMathematics educationCurriculumActive learning (machine learning)Experiential learningProcess (computing)Small group learningPerceptionPsychologyComputer sciencePedagogyMedical educationMedicineArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Problem-based learning (PBL) can be described as a learning environment where the problem drives the learning. Students are given a problem that is posed such that they realize the need to gain up to date, evidence-based knowledge before they can solve the problem. This drives the students to investigate and discuss identified learning issues in groups with the instructor as facilitator and coach. The following immediate benefits to students have been identified: increased retention of information; an integrated (rather than discipline-bound) knowledge base; development of lifelong learning skills; exposure to real-life experience at an earlier stage in the curriculum; increased student-faculty liaison; and an increase in overall motivation (Greening, 1998). These advantages of PBL could stem from the fact that this process is based on several modern insights on learning, including constructive, selfdirected, collaborative and contextual learning. It will be demonstrated how a PBL approach has been used in the University of British Columbia Okanagan 3rd and 4th year undergraduate biology and biochemistry classes of 50 85 students, although this instructional methodology is not limited to life sciences and can be used in other disciplines. Problems are presented and solved through group discussion and independent study without the need for additional tutors. This technique was introduced to enhance the learning experience and effectiveness by supplementing standard lecture material with a novel, interactive course delivery technique. It is becoming evident that PBL in a small group setting has a robust positive effect on student learning and skills. PBL studies develop student research and independent problem-solving skills. They also challenge students, show them the relevance of the material they are studying, and emphasize the benefits and importance of teamwork and effective communication. However, very little research has been done on the educational benefits of PBL in a large classroom setting. Furthermore, several studies have suggested that PBL may not be superior to conventional educational approaches in all aspects of learning. Therefore, it cannot be assumed that introducing the PBL technique to a large undergraduate class setting will lead to enhanced student learning as well as satisfaction. The superiority, or at least the non-inferiority, of PBL over the standard course delivery techniques must be proven for each individual PBL delivery method. We are therefore exploring various approaches that could be used to compare student learning during PBL exercises and standard didactic lectures, and to assess student perception of this process. We have performed a study that shows that student problem-solving skills are improved after they are exposed to PBL exercises in a large classroom setting. By using student surveys and other techniques, we have also identified a number of parameters that show increased student engagement and satisfaction during the PBL exercises compared to standard didactic lectures. Future studies aimed at assessing student learning during the large class PBL exercises will also be discussed. This research is needed to justify further implementation of PBL techniques in courses that are delivered to large undergraduate classes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.329
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it