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Record W91999059

Measuring the Effect of Problem-Based Learning Instructional Program on Reflective Thinking Development

2012· article· en· W91999059 on OpenAlexaboutno aff
Hani A. Weshah

Bibliographic record

VenueJournal of instructional psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationHigher-order thinkingReflective thinkingTest (biology)CognitionConstruct (python library)Critical thinkingProblem-based learningPedagogyTeaching methodCognitively Guided InstructionComputer science
DOInot available

Abstract

fetched live from OpenAlex

This study aimed at measuring effect of using problem-based learning (PBL) on reflective thinking development for tenth grade students in Jordan schools. The study sample consisted of 70 students divided randomly into two groups; experimental (36) and control (34) students. To collect study data, a reflective thinking test (RTT) was used to measure effect of instructional program on experimental group. The means, standard deviations and One-Way-ANCOVA analysis were calculated to verify significance of differences between means in both groups. The results showed a positive effect of PBL as significantly helpful strategy in promoting students' reflective thinking. While there is more research to be conducted, finding of this study concludes by outlining suggestions for creating an environment that encourages problem-based learning at Jordanian schools. Keywords: Problem-based learning; reflective thinking; solving; learning processes; educational programs; secondary school students. ********** Our schools need to implement learning strategies of modern education to be transformed from its traditional to non-traditional (progressive) role. One of progressive school goals is to develop higher-order thinking and inquiry skills among students to construct effective mental maps or models and paradigms to help them acquire a system of knowledge, skills, values, and applying and developing it to be positive change agents in their communities (Marzano, 1988; Resnick & Hall, 1998; Costa & Kallick, 2000; Duffy, 2009). Problem-based learning (PBL) is considered one of effective strategies that this study tackles and which contribute to development of students cognitive and meta- cognitive thinking skills. The roots of PBL can be traced to progressive movement and cognitive school of psychology, which holds a vision that education is a process that aims at developing strategic learner and teacher. Thus, content and required strategies should be meaningful, integrated, transferable, and developable (Delisle, 1997). Historically, Howard B arrows, a pioneer in development of PBL, first developed strategy in McMaster University in Canada. This strategy was used for enhancing students' abilities in Medicine College to think and deal with health problems in different situations and circumstances. After proving its success in medical field, Barrows's strategy caused a revolution in education (Albanese & Mitchell, 1993). Currently, it is used at nearly most medical colleges worldwide, at schools from K-12, and for training teachers to implement it to help students develop their thinking skills and solve their problems through learning content of school curricula (Delisle, 1997). Barrows and Tamblyn (1980) defined PBL, as the learning that results from process of working toward understanding or solving a problem ( p. 18). That is principle behind PBL. It is a methodology that situates learning in complex and meaningful problems that are framed in authentic contexts (Hmelo, 1994). Students work in small groups to acquire conceptual knowledge and procedural skills needed to develop one or more plausible solutions to each of problems creatively and cooperatively presented to them (Savery & Duffy, 1995; Barrows, 1996; Wee; Kek & Sim, 2001; Cotic & Zuljan, 2009). According to Delisle (1997), using PBL releases a teacher from limitations of school curricula. For a teacher who uses PBL, any incident, whether inside or outside school can formulate an effective PBL problem. There is no limit to variety of purposes behind PBL problems. Teachers can develop problems to address students' interest or lives, curriculum, school and community improvement or to solve interpersonal problems in classroom. Problems can be designed for a particular content area or interdisciplinary curriculum; they can be designed by individual teacher or collaboratively for team teaching. …

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.049
GPT teacher head0.398
Teacher spread0.349 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2012
Admission routes1
Has abstractyes

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