Results 21 to 30 of about 2,484,675 (313)

Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by using Graph Neural
Maximilian Hoffmann, Ralph Bergmann
doaj   +1 more source

Training community engaged climate adaptation leaders using multiple case study analysis: insights from cognitive learning sciences

open access: yesFrontiers in Climate, 2023
Training community engaged climate adaptation leaders requires developing learners' thinking skills so they can flexibly approach adaptation planning and problem solving in novel socio-ecological contexts.
Sara Abercrombie   +4 more
doaj   +1 more source

Customizing Case-Based Learning (CBL) Sessions with Limited Resources and Analysis of their Perceived Effectiveness by the Conducting Facilitators

open access: yesJournal of Rawalpindi Medical College, 2020
Introduction: Intense resource involvement invites educationists to think of innovative methods for the continuation of CBL sessions while remaining within the restricted budget.
Sadia Ahsin   +2 more
doaj   +1 more source

Get SMART: Teaching Pediatric Residents the 2020 Focused Asthma Updates' Recommendations for Symptom-Based Medication Increases

open access: yesMedEdPORTAL, 2023
Introduction The 2020 Focused Asthma Updates introduced a paradigm shift in the treatment of asthma that includes symptom-based adjustments to outpatient asthma treatment that vary by age and severity.
Karen L. Warman, Ellen Johnson Silver
doaj   +1 more source

Measuring Learning Complexity with Criteria Epitomizers [PDF]

open access: yes, 2011
In prior papers, beginning with the seminal work by Freivalds et al. 1995, the notion of intrinsic complexity is used to analyze the learning complexity of sets of functions in a Gold-style learning setting. Herein are pointed out some weaknesses of this
Case, John   +3 more
core   +1 more source

Learning in case-based classification algorithms [PDF]

open access: yes, 1995
While symbolic learning approaches encode the knowledge provided by the presentation of the cases explicitly into a symbolic representation of the concept, e.g. formulas, rules, or decision trees, case-based approaches describe learned concepts implicitly by a pair (CB, d), i.e. by a set CB of cases and a distance measure d. Given the same information,
Globig, Christoph, Wess, Stefan
openaire   +2 more sources

Student engagement with a content-based learning design [PDF]

open access: yes, 2013
While learning is commonly conceptualised as a social, collaborative process in organisations, online courses often provide limited opportunities for communication between people. How do students engage with content-based courses?
Armellini, Alejandro   +4 more
core   +1 more source

Case-based Instruction for Leadership Learning in the Norwegian National School Leadership Program

open access: yes, 2021
This article focuses on the use of case-based instruction in the National School Leadership Program offered by universities in Norway. The research addresses the following research question: How can case-based instruction promote leadership learning when
Aas, Marit, Vennebo, Kirsten Foshaug
core   +1 more source

Developing Mathematics Written Communication through Case-Based Learning

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Mathematical education, as it is now practiced, has many problems. Students that were taught using traditional instruction were only taught to listen. Without the input and feedback of the pupils, the teacher controls the learning process.
Joko Suratno   +2 more
doaj   +1 more source

The Case for Case‐Based Transfer Learning

open access: yesAI Magazine, 2011
Case‐based reasoning (CBR) is a problem‐solving process in which a new problem is solved by retrieving a similar situation and reusing its solution. Transfer learning occurs when, after gaining experience from learning how to solve source problems, the same learner exploits this experience to improve performance and learning on target problems.
Matthew Klenk 0001   +2 more
openaire   +3 more sources

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