Evaluation of a Scenario-Based Socratic Style of Teaching and Learning Practice

2022 ◽  
pp. 121-144
Author(s):  
Kamalendu Pal
Keyword(s):  
Teaching And Learning ◽  
Evaluation Method ◽  
Intelligent Tutoring System ◽  
Multiple Criteria Decision Making ◽  
Law School ◽  
System Evaluation ◽  
Case Based Reasoning ◽  
Knowledge Based ◽  
Suitability Assessment ◽  
Actual Use

This chapter presents the central features of a knowledge-based system, evaluation method, which is deeply rooted to the principle of the Socratic style learning in law school. Software system evaluation is placed in the context of a hybrid legal intelligent tutoring system, Guidance for Business Merger and Acquisition (GBMA) process. The legal knowledge for GBMA is presented in two forms, as rules and previously decided cases. Besides distinguishing the two different forms of knowledge representation, the chapter outlines the actual use of these forms in a computational framework designed to generate a plausible solution for a given case by using rule-based reasoning (RBR) and case-based reasoning (CBR) in an integrated environment. The nature of the suitability assessment of a solution has been considered as a multiple-criteria decision-making process in GBMA evaluation. The evaluation was performed by a combination of discussions and questionnaires with different user groups in a scenario-based teaching and learning practice.

Learning the lessons from patient safety incidents

2021 ◽  
Vol 30 (4) ◽  
pp. 254-255
Author(s):  
John Tingle
Keyword(s):  
Patient Safety ◽  
Teaching And Learning ◽  
Law School ◽  
Sources Of Information ◽  
Patient Safety Incidents

John Tingle, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some key reports and sources of information that can help inform patient safety teaching and learning

Towards a knowledge-based probabilistic and context-aware social recommender system

2017 ◽  
Vol 44 (4) ◽  
pp. 464-490 ◽  
Author(s):  
Luis Omar Colombo-Mendoza ◽  
Rafael Valencia-García ◽  
Alejandro Rodríguez-González ◽  
Ricardo Colomo-Palacios ◽  
Giner Alor-Hernández
Keyword(s):  
Latent Dirichlet Allocation ◽  
Evaluation Method ◽  
Context Aware ◽  
Average Precision ◽  
Case Scenario ◽  
Similarity Metric ◽  
Knowledge Based ◽  
Context Modelling ◽  
Evaluation Metric ◽  
Partial Implementation

In this article, we propose (1) a knowledge-based probabilistic collaborative filtering (CF) recommendation approach using both an ontology-based semantic similarity metric and a latent Dirichlet allocation (LDA) model-based recommendation technique and (2) a context-aware software architecture and system with the objective of validating the recommendation approach in the eating domain (foodservice places). The ontology on which the similarity metric is based is additionally leveraged to model and reason about users’ contexts; the proposed LDA model also guides the users’ context modelling to some extent. An evaluation method in the form of a comparative analysis based on traditional information retrieval (IR) metrics and a reference ranking-based evaluation metric (correctly ranked places) is presented towards the end of this article to reliably assess the efficacy and effectiveness of our recommendation approach, along with its utility from the user’s perspective. Our recommendation approach achieves higher average precision and recall values (8% and 7.40%, respectively) in the best-case scenario when compared with a CF approach that employs a baseline similarity metric. In addition, when compared with a partial implementation that does not consider users’ preferences for topics, the comprehensive implementation of our recommendation approach achieves higher average values of correctly ranked places (2.5 of 5 versus 1.5 of 5).

scholarly journals Prediction of Confusion Attempting Algebra Homework in an Intelligent Tutoring System through Machine Learning Techniques for Educational Sustainable Development

2018 ◽  
Vol 11 (1) ◽  
pp. 105 ◽  
Author(s):  
Syed Abidi ◽  
Mushtaq Hussain ◽  
Yonglin Xu ◽  
Wu Zhang
Keyword(s):  
Machine Learning ◽  
Sustainable Development ◽  
Teaching And Learning ◽  
Performance Metrics ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Vital Role ◽  
Machine Learning Techniques ◽  
Tutoring System ◽  
Learning Techniques

Incorporating substantial, sustainable development issues into teaching and learning is the ultimate task of Education for Sustainable Development (ESD). The purpose of our study was to identify the confused students who had failed to master the skill(s) given by the tutors as homework using the Intelligent Tutoring System (ITS). We have focused ASSISTments, an ITS in this study, and scrutinized the skill-builder data using machine learning techniques and methods. We used seven candidate models including: Naïve Bayes (NB), Generalized Linear Model (GLM), Logistic Regression (LR), Deep Learning (DL), Decision Tree (DT), Random Forest (RF), and Gradient Boosted Trees (XGBoost). We trained, validated, and tested learning algorithms, performed stratified cross-validation, and measured the performance of the models through various performance metrics, i.e., ROC (Receiver Operating Characteristic), Accuracy, Precision, Recall, F-Measure, Sensitivity, and Specificity. We found RF, GLM, XGBoost, and DL were high accuracy-achieving classifiers. However, other perceptions such as detecting unexplored features that might be related to the forecasting of outputs can also boost the accuracy of the prediction model. Through machine learning methods, we identified the group of students that were confused when attempting the homework exercise, to help foster their knowledge and talent to play a vital role in environmental development.

scholarly journals Development of Indonesian language book using glasser model

2017 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Syamsuyurnita Syamsuyurnita ◽  
Dewi Kesuma Nasution
Keyword(s):  
Teaching And Learning ◽  
Descriptive Analysis ◽  
Learning Objectives ◽  
Learning Activities ◽  
Learning Material ◽  
Teaching Materials ◽  
Study Program ◽  
Descriptive Research ◽  
Knowledge Based ◽  
Learning Tasks

This study aims to describe the process of developing teaching materials by using Glasser model in the Indonesian language course in FKIP UMSU. The sample of the research is 34-second semester A morning students in the Study Program of Language and Literature of Indonesia, Faculty of Teacher Training and Education, University of Muhammadiyah, Sumatera Utara. The questionnaire instrument was used to determine the student's response and activeness to the developed teaching material, the observation sheet used to know the condition of the students in the learning process, and the validation sheet instrument used for the development of teaching materials based on SAP using Glasser model. The result of descriptive research on student's response shows that 100% of students were happy about the teaching materials of Bahasa Indonesia (Teaching Materials, Guided Exercises and Lecture Strategies) and 91.66% of students think that the teaching materials are new to them. After using the teaching materials developed by the researcher and following the teaching and learning activities, students (100%) are interested in following the next lesson, the readability of the language of the learning material is easy to understand (91.66%) and the guidance given by the lecturer is clear (100%). While the self-employed activity is fun for students (91.66%). Students activity in learning activities was shown by their involvement in problem solving, his involvement in carrying out learning tasks, assessing his ability, digging and developing his own knowledge. Based on the validation sheet on the test of learning result 1 obtained information that from the 3 learning objectives formulated in SAP I and SAP II there is 1 learning objectives that have not yet completed. Based on the results of descriptive analysis of the test results of learning 2 it was obtained that the 3 learning objectives formulated in SAP III and SAP IV was finished learning objective.

scholarly journals Pengembangan dan analisis kualitas sistem monitoring kegiatan belajar mengajar siswa tingkat sekolah menengah atas negeri di Indonesia

Teknologi ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Fajar Indra Kurniawan ◽  
Ronny Makhfuddin Akbar
Keyword(s):  
Information System ◽  
Learning Process ◽  
Teaching And Learning ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
System Development ◽  
Information System Development ◽  
Supervision Process ◽  
Basic Competencies ◽  
Web Quality

Monitoring siswa merupakan bentuk proses pengawasan sekolah terhadap kegiatan belajar mengajar siswa, salah satunya di tingkat Sekolah Menengah Atas Negeri atau SMAN Mojoagung, Jombang, Jawa Timur, Indonesia. Monitoring siswa tersebut meliputi jurnal kelas, presensi siswa dan capaian kompetensi dasar siswa. Proses pengolahan monitoring yang berjalan selama ini memiliki beberapa kendala, diantaranya 1) Belum tersedianya rekapitulasi absensi per mata pelajaran, sehingga guru mata pelajaran kesulitan memonitor kehadiran siswa ketika mata pelajaran sedang berlangsung; dan 2) Tidak terdokumentasi dengan baik capaian kompetensi dasar yang telah diajarkan pada tiap mata pelajaran, yang akhirnya mempengaruhi kualitas proses belajar mengajar. Berdasarkan kendala yang dialami, perlu dibangun sebuah sistem informasi yang mampu mengakomodasi pengelolaan proses aktivitas belajar mengajar meliputi pelaporan jurnal kelas, rekapitulasi absesi kehadiran siswa per mata pelajaran, dan laporan capaian kompetensi dasar. Pengembangan sistem informasi pada penelitian ini menggunakan Waterfall. Sistem monitoring ini menggunakan tiga aspek pengujian, diantaranya efficiency, reliability, dan usability berdasarkan Web Quality Evaluation Method (WebQEM). Hasilnya menunjukkan rata-rata loadtime 2,78 detik dan rata-rata pagesize 190,52 KB pada kecepatan internet 20,98 Mbps, serta persentase session, pages dan hits dengan nilai 99% dengan 25 data pada pengujian efficiency. Pengujian reliability menunjukkan performa yang baik karena mampu mengakomodasi 600 user yang menangani 1.085 request dan throughput 227,098/menit dengan 0% error dari total 5.322 data yang tersimpan. Sedangkan pengujian usability yang melibatkan 322 responden memiliki persentase 76,72% yang masuk kategori baik. Dari hasil pengujian tersebut aplikasi mampu menangani permintaan data dalam jumlah besar dan memastikan kehandalan server mengakomodasi akses seluruh siswa SMAN Mojoagung. Student monitoring is the form of school's supervision process on the teaching and learning activities at SMAN Mojoagung, Jombang, East Java, Indonesia, which  includes the class journals, student's attendance, and students' achievement of basic competencies. However, the recent monitoring process has had some obstacles, including 1) The absence of recapitulation of students' attendance in each lesson which makes it difficult for the teacher to monitor the students' attendance in the teaching and learning process; and 2) poor documentation of the students' achievements of basic competencies in each lesson, which ultimately affects the quality of the teaching and learning process. Based on the obstacles, it is crucial to build a web-based information system which is capable to accommodate the supervision process of the teaching and learning activity involving class journal report, recapitulation of the students' attendance in each lesson and the report of basic-competence achievement. The approach of this current research in this information system development used Waterfall method. The approach of this current research in this information system development used Waterfall method. The developed monitoring system used three aspects of testing, including efficiency, reliability, and usability based on the Web Quality Evaluation Method (WebQEM). The results showed an average loadtime of 2.78 seconds and an average pagesize of 190.52 KB at 20.98 Mbps internet speed as well as a percentage of sessions, pages, and hits of 99% in the efficiency testing on 25 data. The reliability testing showed proper performance since it could accommodate 600 users which handle 1,085 Request and 227.098/minute Throughput with 0% Error from the total of 5,322 saved data. Meanwhile, the usability testing involving 322 respondents showed a percentage of 76.72% and were categorized as good. Based the test results, the application was able to handle a large amount of data demand and ensured the reliability of the server in accommodating the access to all students of SMAN Mojoagung.

scholarly journals Design of Link Evaluation Method to Improve Reliability based on Linked Open Big Data and Natural Language Processing

2018 ◽  
Vol 7 (3.33) ◽  
pp. 168
Author(s):  
Yonglak SHON ◽  
Jaeyoung PARK ◽  
Jangmook KANG ◽  
Sangwon LEE
Keyword(s):  
Big Data ◽  
Natural Language Processing ◽  
Language Processing ◽  
Confidence Level ◽  
Linked Data ◽  
Evaluation Method ◽  
Data Sets ◽  
Knowledge Based ◽  
Global Data ◽  
Improve Reliability

The LOD data sets consist of RDF Triples based on the Ontology, a specification of existing facts, and by linking them to previously disclosed knowledge based on linked data principles. These structured LOD clouds form a large global data network, which provides a more accurate foundation for users to deliver the desired information. However, it is difficult to identify that, if the presence of the same object is identified differently across several LOD data sets, they are inherently identical. This is because objects with different URIs in the LOD datasets must be different and they must be closely examined for similarities in order to judge them as identical. The aim of this study is that the prosed model, RILE, evaluates similarity by comparing object values of existing specified predicates. After performing experiments with our model, we could check the improvement of the confidence level of the connection by extracting the link value.  

scholarly journals Mekanisme Transmisi Pengetahuan dengan Modus Imperatif Kesiapan dan Kemampuan Penerapan Pembelajaran dalam Perspektif Pendidikan Islam

2019 ◽  
Vol 3 (1) ◽  
pp. 113-122
Author(s):  
Sudar Kajin
Keyword(s):  
Teaching And Learning ◽  
Intellectual Development ◽  
Human Life ◽  
Lessons Learned ◽  
Islamic Education ◽  
Human Beings ◽  
Religious Knowledge ◽  
Transmission Of Knowledge ◽  
Knowledge Based ◽  
Readiness To Learn

Grounding the transmission of knowledge by simplifying the learning process on real-world problems helps students maintain what is taught and remembers lessons learned when and when needed will have benefits and can be achieved using a variety of student-friendly teaching and learning methods that take into account interests, needs, and levels students. This article was written with the aim of studying the mechanism of knowledge transmission with the Readiness and Ability to Apply Learning Mode in the Islamic Education Perspective. The results of the discussion conclude that: 1) The concept of learning from teacher to student is popularly referred to as the 'Transmission' paradigm in learning and the process as a 'Transmission mechanism' with a different hierarchical Imperative mode; 2. In Islam, education is based on what Islamic ideals once held about educating all human beings rather than the narrow transmission of discursive knowledge. Islamic knowledge is the knowledge contained in the human body and the ways in which Muslims use it to archive, transmit, decode, and actualize religious knowledge based on a combination of imperative modes; 3) Islamic education aims to develop humans holistically, contrary to western education which focuses primarily on intellectual development. The main purpose of Islamic education is to reform and build human life and develop balanced relationships between individuals, communities and the world based on ethical concepts; 4) regardless of the frame of 'readiness to learn' or 'readiness for school', there is far more preparedness than this and far more that we can do to help everyone become more prepared to learn and overcome life.

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