Question Generators – Meta-Guide.com

Notes:

A question generator is a type of natural language processing (NLP) system that is designed to automatically generate questions from a given input of text. This can be accomplished using a variety of different techniques, such as natural language generation, text summarization, and information extraction. Question generators are used in a number of different applications, including in education, language learning, and research. In education, question generators can be used to create quizzes or test questions automatically, based on a given body of text. In language learning, they can be used to generate questions for students to practice their reading comprehension skills. In research, question generators can be used to identify gaps in knowledge or areas that require further investigation.

A question generating system is a more general term that refers to any system or process that is designed to generate questions. Question generators and question generating systems can be used in a variety of contexts, including education, research, and testing. For example, a question generator might be used to create practice questions for a test or exam, or to generate questions for a survey or research study. In education, question generators and question generating systems can be used to create custom quizzes or learning materials, or to help students practice critical thinking and problem-solving skills.

Question generators and question generating systems can be based on a variety of technologies, including natural language processing (NLP), machine learning, and rule-based systems. The specific algorithms and techniques used will depend on the specific needs and goals of the application.

Resources:

References:

COMBOS: communicating behavior of systems (2015)

Question Generator System of Sentence Completion in TOEFL Using NLP and K-Nearest Neighbor
LS Riza, AD Pertiwi, EF Rahman, M Munir… – Indonesian Journal of …, 2019 – ejournal.upi.edu
Test of English as a Foreign Language (TOEFL) is one of learning evaluation forms that requires excellent quality of questions. Preparing TOEFL questions using a conventional way certainly spends a lot of time. Computer technology can be used to solve the problem …

Revisiting Paraphrase Question Generator using Pairwise Discriminator
BN Patro, D Chauhan, VK Kurmi… – arXiv preprint arXiv …, 2019 – arxiv.org
In this paper, we propose a method for obtaining sentence-level embeddings. While the problem of securing word-level embeddings is very well studied, we propose a novel method for obtaining sentence-level embeddings. This is obtained by a simple method in the …

ASGen: Answer-containing Sentence Generation to Pre-Train Question Generator for Scale-up Data in Question Answering
A Kedia, SC Chinthakindi, S Back, H Lee, J Choo – 2019 – openreview.net
Numerous machine reading comprehension (MRC) datasets often involve manual annotation, requiring enormous human effort, and hence the size of the dataset remains significantly smaller than the size of the data available for unsupervised learning. Recently …

Automated Question Generator
M Akash, R Hosen, M Palash, R Hossain – 2019 – dspace.daffodilvarsity.edu.bd
Automated Question Generator is designed to create a Question Bank and generate descriptive as well as MCQ at any time while required. We can store descriptive and MCQ with name of the subjects, term and marks. So that we can generate questions randomly …

Automated Exam Question Generator Using Genetic Algorithm
BSA Shanthi, LJR Harshitha, K Manasa – 2019 – academia.edu
Manual preparation of exam questions require a lot of work to be done to make sure that all the guidelines given by educational institutions are followed by educators during preparation of exam questions. It requires lots of educator’s efforts and time since it is …

Moodle XML Question Generator for Python (Study of Mathematical Software and Its Effective Use for Mathematics Education)
RIMS Kokyuroku, 2019 – repository.kulib.kyoto-u.ac.jp

Automated Essay Scoring using Ontology Generator and Natural Language Processing with Question Generator based on Blooms Taxonomy’s Cognitive Level
JO Contreras, SMS Hilles, ZB Abubaker – researchgate.net
Essay writing examination is commonly used learning activity in all levels of education and disciplines. It is advantageous in evaluating the student’s learning outcomes because it gives them the chance to exhibit their knowledge and skills freely. For these reasons, a lot of …

Critical thinking for achievement CPD
G Mawdsley – Teaching Geography, 2019 – search.proquest.com
… Case Study 2 David Bill from Hillside High School, Bootle, used question generators to develop critical thinking skills in an international context … Figure 5 : A completed question generator using the regeneration of Liverpool’s Albert Dock as a stimulus. Page 4 …

A comparative study on question-worthy sentence selection strategies for educational question generation
G Chen, J Yang, D Gasevic – International Conference on Artificial …, 2019 – Springer
… Question Generator. There have been several studies working on constructing effective question generators [10, 11, 33, 35], most of which assume that the answer to a question (usually a span of text in the input sentence) is determined prior to the generation of the question …

Learning goal-oriented visual dialog agents: Imitating and surpassing analytic experts
YW Chang, WH Peng – 2019 IEEE International Conference on …, 2019 – ieeexplore.ieee.org
… We start by viewing the questioner as a two- part task comprising (1) a question generator, which is to ask a question qt in the t-th QA round based on the previous dia- log history h1:t?1 = {qj,aj}t?1 j=1 and the given image I, and (2) a guesser, which makes a guess of the target …

Question Generation using NLP
K Mhatre, A Thube, H Mahadeshwar… – International Journal of …, 2019 – ijsret.com
… A question generator for a QA system will determine the highly probable questions that a given document can answer … After this, a question generator module is used so that each independent clause passes through it and outputs one of more questions from that clause …

Jointly learning to see, ask, and guess
R Bernardi – wollic2019.sites.uu.nl
… guesses the object/image. I will show how training the NN agent’s modules (Question generator and Guesser) jointly and cooperatively help the model performance and increase the quality of the dialogues. In particular, I will …

Sliqa-i: Towards cold-start development of end-to-end spoken language interface for question answering
Y Shen, Y Wang, A Patel, H Jin – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… SliQA-I incorporates a novel iterative human-in-the-loop question generator and an enhanced deep coupled QA engine, thereby requiring light human workload … Question generator: Olney et al. [5] and Duma et al. [12] predefined set of relationship specific question templates …

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
WS Cho, Y Zhang, S Rao, C Brockett, S Lee – arXiv preprint arXiv …, 2019 – arxiv.org
… At test time, given multiple (N) input documents, we use our model, called the Multi-Source Question Generator (MSQG), to al- low document-specific decoders to collaboratively generate a common question … 3 Method 3.1 Multi-Source Question Generator …

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
A Ray, K Sikka, A Divakaran, S Lee… – arXiv preprint arXiv …, 2019 – arxiv.org
… Page 3. Figure 4: Block diagram of the proposed CTM including a Question Generator that synthesizes questions with similar intent and a Consistency Checker that classifies QA pairs as consistent, unrelated, or contradictory … Entailed Question Generator …

Mvgen: Multi Version Question Generation for Math Courses
I Brito, JJ Almeida, GJ Machado – Open Education Studies, 2019 – degruyter.com
… Abstract: A question generating system developed in Perl that uses LaTeX as typographical language is presented, which, besides random generation of different question types, allows a random creation of a large number of different test versions …

From two graphs to n questions: A vqa dataset for compositional reasoning on vision and commonsense
D Gao, R Wang, S Shan, X Chen – arXiv preprint arXiv:1908.02962, 2019 – arxiv.org
… The CRIC is constructed by a powerful question generator that can automatically gen- erate a more general form of questions that require com- positional reasoning on vision and commonsense from the scene graphs (from Visual Genome [24] in this paper) and the knowledge …

Learning to caption images through a lifetime by asking questions
T Shen, A Kar, S Fidler – Proceedings of the IEEE …, 2019 – openaccess.thecvf.com
… teacher. We first train the question generator and pretrain the captioner on the warmup chunk … information. In the (caption) collection phase, the agent interacts with the teacher using two modules: a decision maker, and a question generator …

Answer-based adversarial training for generating clarification questions
S Rao, H Daumé III – arXiv preprint arXiv:1904.02281, 2019 – arxiv.org
… We then show that this utility calculator can be gen- eralized using ideas for generative adversarial net- works (Goodfellow et al., 2014) for text (Yu et al., 2017), wherein the utility calculator plays the role of the “discriminator” and the question generator is the “generator” (§2.2 …

Influence of Interactive Questions on the Sense of Presence and Anxiety in a Virtual-reality Job-interview Simulation
S Shimizu, N Jincho, H Kikuchi – Proceedings of the 2019 3rd …, 2019 – dl.acm.org
… This research aims to assist people in overcoming their anxiety concerning job interviews by using a virtual-reality job-interview simulation system that includes an interactive question generator. This paper reports on the implementation …

Reinforced dynamic reasoning for conversational question generation
B Pan, H Li, Z Yao, D Cai, H Sun – arXiv preprint arXiv:1907.12667, 2019 – arxiv.org
… sage. To encourage producing meaningful questions, we leverage a popular question an- swering (QA) model to provide feedback and fine-tune the question generator using a rein- forcement learning mechanism. Empirical …

Development of. Net Based Application
M Miah, MR Hossain, G Shahriar – 2019 – dspace.daffodilvarsity.edu.bd
Page 1. Development of .Net Based Application: Automatic Question Generator BY Md. Shamrat Miah ID: 162-15-7969 … v LIST OF FIGURES FIGURES Figure 3.1 Business Process Modeling of Automatic Question Generator PAGE NO 7 Figure 3.2 Question Generation process …

Question Generation by Transformers
K Kriangchaivech, A Wangperawong – arXiv preprint arXiv:1909.05017, 2019 – arxiv.org
… Introduction Existing question generating systems reported in the liter- ature involve human-generated templates, including cloze type (Hermann et al … Other automatic question generators require human-made rules for the model to follow (Mitkov and Ha 2003; Rus et al …

A location-based question-generating platform as a means of promoting 21st-century skills
S Asakle, M Barak – … Thinking: Research-based Strategies for the …, 2019 – books.google.com
… which is collected from multiple participants, can be downloaded to an electronic sheet, analyzed by the inquiry question generator, and presented … Overall, AugmentedWorld serves as an interactive learning platform for both question generators and question solvers (Figure 8.4 …

An Automatic System for Learning and Dialogue Based on Assertions
U Maniscalco, A Messina, P Storniolo – Biologically Inspired Cognitive …, 2019 – Springer
… These statements are automatically acquired and the audio transformed into text using a “speech to text” service (ie Google Cloud Speech-to-Text) 4 . Then, these statements are processed to get a set of questions compatible with them using an automatic question generator …

Every University Should Have a Computer-Based Testing Facility.
CB Zilles, M West, GL Herman, T Bretl – CSEDU (1), 2019 – lagrange.mechse.illinois.edu
… Second, rather than write in- dividual questions, we endeavor to write question generators—small pieces of code that use random- Page 2 … Right: CBTF exams require more up-front effort to create pools of question generators, but are much less effort to repeat in the future …

Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension
T Wu, M Wang, H Gao, G Qi, W Li – Pacific Rim International Conference …, 2019 – Springer
… Moreover, since the gradients cannot be passed in natural language, the question generator and the reading comprehension extractor have to be trained individually. Such a pipeline framework combined by a question generator …

Dysgu: A Tool to Keep Students Engaged Outside the Classroom
M Fuad – 2019 IEEE International Conference on Engineering …, 2019 – ieeexplore.ieee.org
… difficulty. To formulate a module, the faculty first need to create the questions by utilizing the corresponding question generator. Fig. 8 shows a sample question generator for a specific type of problem-solving activity. Dysgu …

Q-Genesis: Question Generation System Based on Semantic Relationships
PS Bala, G Aghila – Advances in Big Data and Cloud Computing, 2019 – Springer
… [15] introduced content question generator using logical form which can be used to identify the semantic relationships among various segments of a given sentence … [18] developed Situation Awareness Question Generator (SAQG) for generating questions from ontology …

RSQLG: The Reverse SQL Question Generation Algorithm
T Julavanich, S Nalintippayawong… – 2019 IEEE 6th …, 2019 – ieeexplore.ieee.org
… Keywords-SQL; automated question generator; e-learning; database learning; reverse question generation … The SQL question generator (E) takes the same constructed query metadata and question template to generate a query explanation (the question) in the same time …

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
WS Cho, Y Zhang, S Rao, A Celikyilmaz… – arXiv preprint arXiv …, 2019 – arxiv.org
… i) we develop a novel Multi-Source Co- ordinated Question Generator (MSCQG) model that is trained using reinforcement learning … on the more recent GPT-2 (Radford et al., 2019) generation model, and this forms the underlying component of our question generating system …

NVR Guess: Automated Question Generation for Honing NonVerbal Reasoning Skills
HM Surana, G Bhatnagar, A Srivastava… – 2019 IEEE Tenth …, 2019 – ieeexplore.ieee.org
… Page 2. Generator and a Distractor Generator module to generate a question and distractors respectively, a Polygon class that is used to generate primitive shapes for each question category, the Question Generator and Distractor Generator modules that apply a series of …

ParaQG: A System for Generating Questions and Answers from Paragraphs
V Kumar, S Muneeswaran, G Ramakrishnan… – arXiv preprint arXiv …, 2019 – arxiv.org
… 5 Implementation Details ParaQG1 comprises the frontend user interface, the backend question generator and a BERT-based question filtering module. The question generator model is implemented using the PyTorch2 frame- work …

Model-based interactive semantic parsing: A unified framework and a text-to-SQL case study
Z Yao, Y Su, H Sun, W Yih – arXiv preprint arXiv:1910.05389, 2019 – arxiv.org
… where human intervention is needed (the action). This action is performed by a question generator (the actuator), which generates and presents to the user a human- understandable question. A core component of the agent …

A multi-agent communication framework for question-worthy phrase extraction and question generation
S Wang, Z Wei, Z Fan, Y Liu, X Huang – … of the AAAI Conference on Artificial …, 2019 – aaai.org
… The MP phrase ex- tractor is an upgrade version of local phrase extractor by taking information from question generator … We add a Match-LSTM module to help Pointer Net- work (Wang and Jiang 2015; 2017) to incorporate the infor- mation passed by question generator …

All It Takes is 20 Questions!: A Knowledge Graph Based Approach
A Dey, HK Jain, VK Pandey, T Chakraborty – arXiv preprint arXiv …, 2019 – arxiv.org
… The question generator poses questions based on three components: (1) Probability from past experience … Our model is divided into five components: 1. Question Generator: The generator is a template-based hierarchically structured model. It traverses the knowledge graph …

Adversarial domain adaptation for machine reading comprehension
H Wang, Z Gan, X Liu, J Liu, J Gao, H Wang – arXiv preprint arXiv …, 2019 – arxiv.org
… Document & Answer Lexicon & Contextual Encoding Attention-based Decoding Question Generator Encoder Source Domain Target Domain Pseudo Question … 4 AdaMRC As illustrated in Figure 2, AdaMRC consists of three main components: (i) Question Generator (Sec …

Towards an Automatic Q&A Generation for Online Courses-A Pipeline Based Approach
S Rüdian, N Pinkwart – International Conference on Artificial Intelligence in …, 2019 – Springer
… Le et al. [5, 6] created an educational question generator which is dependent on existing templates and databases that contain structured knowledge. These approaches require human cognitive skills to create templates. Zhao et al …

Online Examination System with Cheating Prevention Using Question Bank Randomization and Tab Locking
SS Chua, JB Bondad, ZR Lumapas… – 2019 4th International …, 2019 – ieeexplore.ieee.org
… The research looked into interviewing through a focus group the proctors of online exams to identify root causes of academic malpractice at the same time interview exam content creators on possible approaches on exam questions generators that allow a validity of measure of …

What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
P Shukla, C Elmadjian, R Sharan, V Kulkarni… – arXiv preprint arXiv …, 2019 – arxiv.org
… (Lipton et al., 2017), who used informa- tion gain and Q-learning to generate goal-oriented questions for movie recommendations. However, they generated questions using a template-based question generator. 3 The GuessWhat?! framework …

Automatic generation of fill?in?the?blank question with corpus?based distractors for e?assessment to enhance learning
B Das, M Majumder, S Phadikar… – Computer Applications …, 2019 – Wiley Online Library
… Finally, they proposed an innovative way to select distractors those were semantically related to the gap?phrase and had contextually fit in the gap?filling question. Kumar et al 19 also proposed a fill?the?blank question generator for self?assessment of students …

Stochastic tree-based generation of program-tracing practice questions
A Thomas, T Stopera, P Frank-Bolton… – Proceedings of the 50th …, 2019 – dl.acm.org
… [8] found improved learning when studying the coupling of a question generator and a feedback system. In the work of Kumar at al … In addition, the authors found improved learning when studying the coupling of a question generator and a feedback system …

The devil is in the details: A magnifying glass for the guesswhich visual dialogue game
A Testoni, R Shekhar, R Fernández… – Proceedings of the 23rd …, 2019 – semdial.org
… Most importantly, by scrutinizing the model, we show that the SoA result obtained hi- des important weaknesses of the model and of the dataset: • The question generator plays a rather minor role on task-success performance …

Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level
A Anikin, O Sychev – Biologically Inspired Cognitive Architectures Meeting, 2019 – Springer
… One of the most relevant model for this is ontology [4]. If the comprehension will be captured in an ontology, a question generator to assess learner’s comprehension can be created on the base of it. 3 Ontology-Based Questions Generators …

ROBOT BASED INTERACTIVE GAME FOR TEACHING ARABIC SPELLING
G Alsebayel, J Berri – researchgate.net
… Additionally, and most importantly, the persistence layer is introduced showing how each of the subcomponents, namely; question generator, spelling corrector and deficiency detector are implemented and integrated … 27 5.3. Persistence Layer 5.3.1. Questions generator …

Lifelong learning for image captioning by asking natural language questions
K Shen, A Kar, S Fidler – ICCV, 2019 – pdfs.semanticscholar.org
… The question generator produces natural language questions given an image and informa- tion provided by the captioner … We first train the question generator and pretrain the captioner on the warmup chunk. After pretraining, the agent learns in two phases …

Information maximizing visual question generation
R Krishna, M Bernstein… – Proceedings of the IEEE …, 2019 – openaccess.thecvf.com
… 3. Information Maximizing Visual Question Generator … In this section, we detail how we design an Information Maxi- mizing Visual Question Generator. Recall that the goal of our model is to generate questions given an image and an answer category …

Ontology-based generation of medical, multi-term MCQs
J Leo, G Kurdi, N Matentzoglu, B Parsia… – International Journal of …, 2019 – Springer
… We introduce a modular system called the EMMeT Multiple Choice Question Generator (Em CQG), for automatic generation of multi-term MCQs, specifically targetting the medical domain by making use of a medical ontology …

Multi-purposed Question Answer Generator with Natural Language Processing
H Desai, MFA Sheikh, SK Sharma – Emerging Trends in Expert …, 2019 – Springer
… to that question automatically. An Automatic Question Generator in which machine automatically generates the question from contests so, it is useful for teachers to prepare a assignment or exercise for students. But in this approach …

Ontology Specifications to Generate Questions
S Wang – projects.cs.uct.ac.za
… 4 QUESTION GENERATOR The question generator was created using Java with Netbeans IDE. It makes use of the two major dependencies, the OWL api and the Hermit reasoner. Figure 10 shows the graphical user interface (GUI) of the question generator …

CLOSURE: Assessing Systematic Generalization of CLEVR Models
D Bahdanau, H de Vries, TJ O’Donnell, S Murty… – arXiv preprint arXiv …, 2019 – arxiv.org
… CLOSURE templates and programs To construct CLO- SURE questions and to compute the ground-truth answers we used the template-based question generator that comes with CLEVR. The question generator randomly fills …

Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat.
R Shekhar, A Testoni, R Fernández, R Bernardi – CLiC-it, 2019 – ceur-ws.org
… game consist of two disconnected modules, a Question Generator and a Guesser, which are trained independently with Supervised … game as two dis- joint models a Question Generator (QGen) and a Guesser trained independently …

Clover Quiz: a trivia game powered by DBpedia
G Vega-Gorgojo – Semantic Web, 2019 – content.iospress.com
… With respect to the generation of distractors in multiple choice questions, DBpedia-based question generators typically use random distractors, eg [5,7,14 … Beyond Clover Quiz and DBpedia, the proposed data extraction pipeline and question generator can be used with any other …

Unsupervised question answering by cloze translation
P Lewis, L Denoyer, S Riedel – arXiv preprint arXiv:1906.04980, 2019 – arxiv.org
… We use the popular statement-to-question generator from Heilman and Smith (2010) which uses a set of rules to generate many candidate … Wh* heuristic In order to provide an appropri- ate wh* word for our “identity” and “noisy cloze” baseline question generators, we introduce …

Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
J Kang, HPS Roman, SH Myaeng – arXiv preprint arXiv:1910.13794, 2019 – arxiv.org
… As far as we know, we are the first one to propose an explicit interrogative- word classifier that provides the interrogative word to the question generator. 3 Interrogative-Word-Aware Question Generation 3.1 Problem Statement … 3.3 Question Generator …

Analyzing How a Talk Show Host Performs Follow-Up Questions for Developing an Interview Agent
H Narimatsu, R Higashinaka, H Sugiyama, M Mizukami… – workshop.colips.org
… In order to gain insights for realizing a follow-up question generator, we analyzed the follow-up questions in more detail … In future work, we will analyze the specific content and utterances in detail and consider how to develop a follow-up question generator …

Low-Resource Response Generation with Template Prior
Z Yang, W Wu, J Yang, C Xu, Z Li – arXiv preprint arXiv:1909.11968, 2019 – arxiv.org
… that question asking in conversation can enhance user engagement, we find that in a public dataset1 with 5 million conversation sessions crawled from Weibo, only 7.3% sessions have a question re- sponse and thus can be used to learn a question generator for responding2 …

TUA1 at ImageCLEF 2019 VQA-Med: a Classification and Generation Model based on Transfer Learning.
Y Zhou, X Kang, F Ren – CLEF (Working Notes), 2019 – dei.unipd.it
… As is shown in Fig.2, simple classifier is used to classify questions, additional classifiers are Page 4. used for modality, plane and organ system questions, generator correspond to abnormality problems. 3.1 Preprocessing For …

Video Question Generation via Cross-Modal Self-Attention Networks Learning
YS Wang, HT Su, CH Chang, W Hsu – arXiv preprint arXiv:1907.03049, 2019 – arxiv.org
… It’s Rachel Greene from upstairs. Rachel : Yes, somebody broke our knob on the radiator. Video Frames : Subtitle : Video Question Generator What does Rachel do after she picks up the phone ? Question: Figure 1. Video Question Generation (Video QG) …

Um sistema gerador de respostas enganadoras para questões de exame
JRM Fontes – 2019 – recipp.ipp.pt
… When asked directly if he perceived a misleading question generator to Multiple Answer Questions to be an interesting and useful functionality the response was positive. This lead to the focus of misleading question generator as the main goal of this thesis …

based Question Generation with Adaptive Instance Transfer and Augmentation
Q Yu, L Bing, Q Zhang, W Lam, L Si – arXiv preprint arXiv:1911.01556, 2019 – arxiv.org
… Firstly, a pre-trained gener- ation model based on user-posed answer-question pairs is utilized as an initial question generator. To … L(qa, r) = Lg(qa, r) ? ?L?(qa, r) (11) where ? is a hyper-parameter. 4.2 Question Generator in Transfer Learning …

A Personalised Approach to Adaptive Tutoring using Machine Learning and Natural Language Processing
S Bhat, SS Nair, S Kadur… – 2019 IEEE Bombay …, 2019 – ieeexplore.ieee.org
… VII. THE TESTING MODULE The Testing Module consists of the Question Generator, the Test Generator, and the Evaluator. A. Question Generator This module generates objective questions (fill-in- the-blanks)[7] from the textbook during the pre-processing stage …

Watch and Ask: Video Question Generation
S Huang, S Hu, B Yan – International Conference on Neural Information …, 2019 – Springer
… For example, in Fig. 1, a video question generator asks questions about a specific moving action. To make use of the sequential information in the video, we adopt an encoder-decoder based framework with Recurrent Neural Network as the encoder …

Large-Scale Answerer in Questioner’s Mind for Visual Dialog Question Generation
SW Lee, T Gao, S Yang, J Yoo, JW Ha – arXiv preprint arXiv:1902.08355, 2019 – arxiv.org
… RNN modules. One is “Qgen”, a question generator finding the solution that maximizes its distribution p†; ie q? t = argmax p†(qt|ht?1). The other is a “Qscore”, a class guesser using score function for each class f‡(c|ht). Two …

SELF-IMPROVING CHAPTER 13–COMPONENTS IN CONVERSATIONAL INTELLIGENT TUTORING SYSTEMS
Z Cai, AC Graesser, X Hu… – … for Intelligent Tutoring …, 2019 – books.google.com
… a main question. To support such conversations, AutoTutor uses four major components, including question generator (QG), speech act classifier (SAC), answer classifier (AC) and question answerer (QA). In each conversation …

Proposed Model of Multiplayer Matching Game Plugins Using Websocket in Moodle
IND Kotama, KO Saputra… – International …, 2019 – … journals.publicknowledgeproject.org
… games. 3 The Proposed Plugins 3.1 System architecture To implement this concept we need to modify and add two plugins into Moodle backend, which are matching quiz question generator and multiplayer quiz view. Fig. 2 …

A Generator and Corrector of Parametric Questions in Hard Copy
F de Assis Zampirolli, F Teubl, VR Batista – 16th International Conference …, 2019 – Springer
… This is a typical requirement that risks turning inviable the popularisation of parametric question generators. Regarding (d), on the one hand it is simple for tests carried out electronically. On the other hand, for handwritten tests it turns out to be a laborious step …

–SELF-IMPROVING COMPONENTS IN CONVERSATIONAL INTELLIGENT TUTORING SYSTEMS
Z Cai, AC Graesser, X Hu, JL Cockroft – … for Intelligent Tutoring … – tradem.gifttutoring.org
… a main question. To support such conversations, AutoTutor uses four major components, including question generator (QG), speech act classifier (SAC), answer classifier (AC) and question answerer (QA). In each conversation …

Detection of Similar Answers to Avoid Duplicate Question in Retrieval-based Automatic Question Generation
YS Choi, KJ Lee – KIPS Transactions on Software and Data …, 2019 – koreascience.or.kr
… JF Aquino, DD Chua, RK Kabiling, JN Pingco and R. Sagum, “Text2Test: Question Generator Utilizing Information Abstraction Techniques and Question Generation Methods for Narrative and Declarative Text,” In Proceedings of the 8th National Natural Language Processing …

Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
W Wang, S Feng, D Wang, Y Zhang – Proceedings of the 2019 …, 2019 – aclweb.org
… We jointly train a question generator and a discriminator (ie GRU- MatchPyramid model) that measures the semantic coherence between generated questions (as well as ground-truth questions) and answers. Only a well- trained generator is needed in inference …

Development of an Online Patient Service
R Islam – 2019 – dspace.daffodilvarsity.edu.bd
… 4.1 Overview of Design and Development We develop Automated Question Generator using Microsoft Platform. We use Microsoft .Net … 5.1 Implementation of Database We develop Automated Question Generator using Microsoft Platform. We use Microsoft .Net …

D2L Files and Question Import Tool for Introduction to Psychology (PSYC 1101)
JS Callahan, K Bridges – 2019 – oer.galileo.usg.edu
… The deliverables associated with this project include Multiple Choice Questions Generator (MCQG) instruction guide for faculty that outlines purpose and potential of the components, an instructional video for students that provides “how-to” and “tips” for creating effective, high …

BERT+ Verify
K Marshland – pdfs.semanticscholar.org
… Generative pre-trained transformer Image credit: Hu et. al. Architecturally, the verifier is added as an additional layer to the BIDAF question generator. If a question was classified as answerable, it returned the answer directly; if not, it returned vectors 2 Page 3 …

Key Phrase Extraction for Generating Educational Question-Answer Pairs
A Willis, G Davis, S Ruan, L Manoharan… – Proceedings of the …, 2019 – dl.acm.org
… Wang et al. [18] used SQuAD to build a recurrent neural network-based automatic question generator, QG-Net. They used the answers from the human-generated questions in SQuAD to build new questions with the same answers …

Multiliteracies pedagogy promoting young children’s ecological literacy on climate change
CC Wong, K Kumpulainen – Multiliteracies and Early Years …, 2019 – helda.helsinki.fi
… In workstation 2, ‘Think’, the aim of the activity What If was to inspire the children’s thinking and creativity by generating open-ended questions using a tool, the question generator, developed for the project … is …?’ Figure 6. The ‘what if’ question generator Page 13. 13 …

A nobel report on remote examination system
M Amir – Global Sci-Tech, 2019 – indianjournals.com
… This online examination system includes the architectural components as Browser-Server architecture, Client-Server Architecture, Auto Question Generator System, Security, Randomization. The Random Number Generator Algorithm is used for this system …

What’s to know? Uncertainty as a Guide to Asking Goal-oriented Questions
E Abbasnejad, Q Wu, Q Shi… – Proceedings of the IEEE …, 2019 – openaccess.thecvf.com
Page 1. What’s to know? Uncertainty as a Guide to Asking Goal-oriented Questions Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel {ehsan.abbasnejad, qi.wu01,javen.shi,anton.vandenhengel}@adelaide.edu.au …

Automatic Question Generation based on MOOC Video Subtitles and Knowledge Graph
L Ma, Y Ma – Proceedings of the 2019 7th International Conference …, 2019 – dl.acm.org
… When input is texts, network uses a context reader to encode the text and answer into a context vector, and then uses a question generator to generate questions from context vector in an end-to-end fashion, such as [1] [6] [7] [10] …

Reverse SQL Question Generation Algorithm in the DBLearn Adaptive E-Learning System
K Atchariyachanvanich, S Nalintippayawong… – IEEE …, 2019 – ieeexplore.ieee.org
… 25,000; FIGURE 8. Example of output from query extraction and translation. 4) SQL QUESTION GENERATOR The SQL question generator augments the query metadata output from the generator with a text explanation. This …

Student Testing and Monitoring System (Stms) Using Nlp.
M Saad, S Aslam, W Yousaf, M Sehnan… – … Journal of Modern …, 2019 – j.mecs-press.net
… The subsystem of Knowledge Descriptor allows the teacher to explain the learning contents. The subsystem of Questions Generator would receive the learning materials and produce required questions in multiple choice questions …

Distant Supervised Why-Question Generation with Passage Self-Matching Attention
J Hu, Z Li, R Wu, H Wang, A Liu, J Xu… – … Joint Conference on …, 2019 – ieeexplore.ieee.org
… Besides, a basic classifier is used to judge the quality of these generated questions. Mazidi and Nielsen [4] introduce an automatic question generator using semantic pattern recognition to create questions of varying depth and type for self-study or tutoring …

Neural conversational qa: Learning to reason vs exploiting patterns
A Sharma, D Contractor, H Kumar, S Joshi – arXiv preprint arXiv …, 2019 – arxiv.org
… Page 4. Figure 2: The UrcaNet Model – using the example in Table 1 as input. 4. Follow-up question Generator: A sequence to sequence model with copy mechanism (Gu et al., 2016) to generate the follow-up ques- tion. 3.1 Input Embeddings and BERT …

Generating question-answer hierarchies
K Krishna, M Iyyer – arXiv preprint arXiv:1906.02622, 2019 – arxiv.org
… pipeline for question generation, answering, and filtering. Data preprocessing: At training time, we use the ground-truth answer spans from these datasets as input to the question generator. To improve the quality of SPECIFIC …

Online examination framework for computer unit, Faculty of Arts and Culture
FS Abdul Wahid, CMM Mansoor, F Akeema Baanu… – 2019 – ir.lib.seu.ac.lk
Page 1. SEUIARS 2019 613 December 1, 2019 Proceedings, South Eastern University International Arts Research Symposium -2019, 18th December 2019 ONLINE EXAMINATION FRAMEWORK FOR COMPUTER UNIT FACULTY OF ARTS AND CULTURE …

Learning to generate questions by learningwhat not to generate
B Liu, M Zhao, D Niu, K Lai, Y He, H Wei… – The World Wide Web …, 2019 – dl.acm.org
… 3 MODEL DESCRIPTION In this section, we introduce our proposed framework in de- tail. Similar to [8, 30, 42], our question generator is based on an encoder-decoder framework, with attention and copying mechanisms incorporated. Fig …

Joint learning of question answering and question generation
Y Sun, D Tang, N Duan, T Qin, S Liu… – … on Knowledge and …, 2019 – ieeexplore.ieee.org
Page 1. Joint Learning of Question Answering and Question Generation Yibo Sun , Duyu Tang, Nan Duan, Tao Qin, Member, IEEE, Shujie Liu, Zhao Yan , Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, and Ting Liu …

Learning with limited data for multilingual reading comprehension
K Lee, S Park, H Han, J Yeo, S Hwang… – Proceedings of the 2019 …, 2019 – aclweb.org
… Automatic labeler can complement by collecting unlabeled text on the domains not covered, and generating synthetic labels. For generating synthetic training data, we lever- age Question Generator (QG) and Answer Extrac- tor (AE) as labeler, following (Du and Cardie, 2018) …

The difference a method makes: methods as epistemic objects in computational science
M Spencer – Distinktion: Journal of Social Theory, 2019 – Taylor & Francis
… Merz noted that software components, in some contexts relatively unproblematic instruments, become in other contexts the ‘question generators’ in their own right (Merz 1999 Merz, M. 1999. Multiplex and unfolding: Computer simulation in particle physics …

Exploiting the Web of Data to bridge formal and informal learning experiences
A Ruiz-Calleja, ML Bote-Lorenzo… – Proceedings of the …, 2019 – dl.acm.org
… contains profiles of the students to make the resource recommendations. The question generator feeds with data to both the context and the learning resource datasets. Regarding the student profiles, they are built out of information …

An approach to answering natural language questions in Portuguese from ontologies and knowledge bases
SDJ Barbosa – 2019 – maxwell.vrac.puc-rio.br
… 44 5.1 Question Interpreter 44 5.2 Related Questions Generator 46 …

Trust trigger and knowledge elicitor: The role of epistemic objects in coordinating the fragmentation and heterogeneity of knowledge in digital innovation networks
J Liu – Knowledge and Process Management, 2019 – Wiley Online Library
… By provoking knowledge puzzles, objects of investigation serve as elicitors of knowledge and question?generators; in this way, they serve to invite interested actors acting via the mechanism of interpellation so as to direct the process of collaborative innovation (Law, 2000) …

Standing Watch: American Submarine Veterans Remember the Cold War Era
JLC Leung – 2019 – books.google.com
… of my ambition. Corey also proved his worth as a marvelous question- generator during our pre-interview planning sessions, and his sage advice throughout the next ten years was critical in shaping this book. Another child- hood …

Learning to merge-language and vision: A deep evaluation of the encoder, the role of the two modalities, the role of the training task.
R Shekhar – 2019 – eprints-phd.biblio.unitn.it
… 1.1 Contributions of this study Joint Model for Visual Dialogue We introduce a single visually grounded dia- logue state encoder to jointly train the guesser and question generator modules to address a foundational issue on how to integrate visual grounding with di …

Logic, Language, Information, and Computation
R Iemhoff, M Moortgat, R de Queiroz – 2019 – Springer
… guesses the object/image. I will show how training the NN agent’s modules (Question generator and Guesser) jointly and coop- eratively help the model performance and increase the quality of the dialogues. In particular, I will …

Comparative Study of Different Approaches for Measuring Difficulty Level of Question
A Pathan, P Futane – 2019 – academia.edu
… and Twittie Senivongse \Measuring Difficulty Levels of JavaScript Questions in Question-Answer Community Based on Concept Hierarchy”978-1-5090-4834-2/17/ 31.00 c 2017 IEEE [3] Itziar Aldabe Edurne Martinez \ArikIturri: an Automatic Question Generator Based on …

Question generation for language café interaction between robot and human: NLP applied in a robot
E Jin, E Johnston – 2019 – diva-portal.org
… If a question generator only takes sentence fragments without analyzing pronoun relations one would get vague sentences, such as “When did she move to Vimmerby?”. Here there is no way of knowing who “she” is, leading us to pronoun analysis …

APPLICATION OF ONTOLOGIES IN e-LEARNING
A Stoyanova-Doycheva, T Glushkova, V Ivanova – dlcc.us.edu.pl
… The QO effectors are responsible to present the generated test questions and other information to the user. The most important behaviour of this agent is Question Generator. It is specific algorithm for Page 7. APPLICATION OF ONTOLOGIES IN e-LEARNING …

Summarizing News Articles Using Question-and-Answer Pairs via Learning
X Wang, C Yu – International Semantic Web Conference, 2019 – Springer
… in the data. 4.2 Natural Question Generator. Given an answer position learned from the attention map model and the context surrounding it, we further train a sequence-to-sequence model to generate natural questions. As an …

VQAG: Automatic Generation of Question-Answer Pairs from Images
Z Wang – 2019 – cs.anu.edu.au
Page 1. VQAG: Automatic Generation of Question-Answer Pairs from Images Zihao Wang A report submitted for the course COMP8755 Individual Computing Project Supervised by: Dr Lizhen Qu The Australian National University May 2019 c Zihao Wang 2019 Page 2 …

TONE: A Method for Terminological Ontology Evaluation
MN Demaidi, MM Gaber – Proceedings of the ArabWIC 6th Annual …, 2019 – dl.acm.org
… Semantic Richness No No Yes No No Table 2: Question generated using Cubric and Tosic question generator Multiple Choice Question Stem Read the paragraph and decide which one of the following concepts it defines? A _____ splits a stream of data into datagrams …

PolyPy: A Web-Platform for Generating Quasi-Random Python Code and Gaining Insights on Student Learning
A Hajja, AJ Hunt, R McCauley – 2019 IEEE Frontiers in …, 2019 – ieeexplore.ieee.org
… A template-based question-generator for a tutoring tool [7] was designed as a component of an online tutoring system called Adaptive tutor for online Learning (AtoL) [8]. Reports from a small study of AtoL showed promise; in a controlled experiment involving 5 closed labs …

Automatic Generation of Leveled Visual Assessments for Young Learners
A Singh, RS Mittal, S Atreja, M Sharma, S Nagar… – Proceedings of the AAAI …, 2019 – aaai.org
… tutes a word/phrase representing either an object or an at- tribute, an edge represents a relationship between the two nodes it is connecting, and the edge label represents the type of relationship, eg, isA, capableOf, atLocation, etc.; 2) Tex- tual Question Generator – The textual …

Development of a web-based question bank for automated question paper generation
M Ahamed – 2019 – lib.buet.ac.bd
… role of operating the system. They are listed below in (Figure 2.1)- Figure 2.1: Actor hierarchy of question bank (a) Administrator • User(ie, Question Generator, Composer and Moderator) Management o Add user o Edit user o Update user o Delete user Page 16. 5 …

4 StoryCorps
K Auberry, A Neely-Sardon – … to Teaching the Works of Edwidge …, 2019 – books.google.com
… Create a list of interview questions. If you will be the interviewer, come prepared with a list of interview questions. Question generator by StoryCorps: https://storycorps. me/question-generator/? view= best-questions A good starting place What is your name? How old are you …

SEO Content Optimization: A Beginner’s Guide to Crafting SEO Content [2020]
WDP SEO – 2019 – webdesignplusseo.com
… Try to put yourself in your readers’ situation. For example, if they are searching data about SEO, what would their questions be like? On the other hand, if you want an immediate and accurate results, you can try question generator apps like Answer the Republic. Here’s how …

An Intelligent Tutoring System with Adaptive Exercises Based on a Student’s Knowledge and Misconception
R Taufik, D Nurjanah – 2019 IEEE International Conference on …, 2019 – ieeexplore.ieee.org
… 3. Develop a set of Buggy rules that represents knowledge procedural networks, and then confirm the results to experts. 4. Input Buggy rules into the system as a part of the domain model. 5. Develop a multiple-choice question generator based on ontology and Buggy rules …

Policy proposal for stationary electric engine compressors in Lebanon.
LA Damrell – 2019 – scholarworks.aub.edu.lb
… Based on my personal experience within state and industry, I followed a certain method that included field observations, noting processes, conditions, and potential constraints. To first begin answering the question, generators and their owners had to be located …

COMUNICARTE: A VIRTUAL REALITY GAME TO IMPROVE PUBLIC SPEAKING SKILLS
M El-Yamri, A Romero-Hernandez, M Gonzalez-Riojo… – nil.fdi.ucm.es
… Also, another one of the improvements being considered is the use of automatic question generators so that the audience can ask the speaker question based on the speech in an automatic manner. ACKNOWLEDGEMENTS …

Towards a tool for assessing uas compliance with the jarus sora guidelines
KH Terkildsen, K Jensen – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
… A question generator script displays questions, and the OSOs and their elaborated questions are retrieved from a database in which they are stored. Upon Fig. 1: On the welcome page, the user is asked to fill out name, e-mail, UAS and the desired SAIL to reach. Fig …

The 100-most Cited Articles About Craniectomy and Hemicraniectomy: A Bibliometric Analysis
E Whitney, D Mahato, T Odell, YR Khan, J Siddiqi – Cureus, 2019 – ncbi.nlm.nih.gov
… Appendices. These articles (Table ?(Table2)2) represent turning points and question generators that have helped shape the direction and discussion of the intervention. Table 2. Top 20 most-cited articles. Article Title, Cited by …

Automatic Question Generation: A Systematic Review
S Soni, P Kumar, A Saha – International Conference on Advances …, 2019 – papers.ssrn.com
… 12. Automatic Generation of Questions using Predefined Templates [19] The algorithm works on Knowledge Descriptor, Questions Generator and E – learning Executer. MCQ with only One Solution, two Solutions, all Of The Above, and none Of The Above 13 …

My Buddy App: Communications between Smart Devices through Voice Assist
MG Patel, MK Patil – 2019 – academia.edu
… [5] In Ariklturri, it is a question generator which helps teacher to conduct test not manually but by using these software to generate questions by putting storing the text into corpus. Using Ariklturri, it will reduce the time of generating questions papers …

A Generative Dialogue System for Reminiscence Therapy
M Carós Roca – 2019 – upcommons.upc.edu
… Figure 3.1: Scheme of the algorithm behavior 3.2 Characteristics of datasets In order to achieve a good question generator, we looked for a dataset with natural questions that could engage someone to start a conversation. Computer …

Multiple Domain Question-Answer Generation
K Lu – 2019 – digitalassets.lib.berkeley.edu
… dis- tribution of words generated in the question. This allows the question generator to identify the domain of the input dur- ing inference and use that information to adjust the output accordingly. The domain token at the start of …

ICT-SUPPORTED EFL INSTRUCTION IN ACADEMIC WRITING FOR RESEARCH IN EDUCATION
R Castillo – lib.uib.kz
… 29, pp. 621–632. 2007. doi:https://doi.org/10.1016/j.langsci.2007.01.005 [2] J. Jenstad. At work and play. (2016). Retrieved from: https://janellejenstad.com/research- question-generator/ [3] SC Marshall. Engagement Theory, WebCT, and Academic Writing in Australia …

An Attempt to Detect Fake Messages Circulated on WhatsApp
G Nath, M Manikandan, G Adhi, PK Thandul – academia.edu
… Model Precision Recall F1 Score Model 1 0.72 0.74 0.729 Model 2 0.79 0.72 0.753 Model 3 0.81 0.89 0.848 Model 4 0.734 0.76 0.746 Page 6. If the claim is short ie lesser than ten words, we use a question generator algorithm that can generate multiple question answer pairs …

Deep Exemplar Networks for VQA and VQG
BN Patro, VP Namboodiri – arXiv preprint arXiv:1912.09551, 2019 – arxiv.org
Page 1. 1 Deep Exemplar Networks for VQA and VQG Badri N. Patro, and Vinay P. Namboodiri, Member,IEEE Abstract—In this paper we consider the problem of solving semantic tasks such as ‘Visual Question Answering’ (VQA …

Visual Dialog: Towards Communicative Visual Agents
S Kottur – 2019 – kilthub.cmu.edu
… QA pairs. Finally, the focus of Geman, Geman, Hallonquist, and Younes [36] is a statistical templated-question generator and not an actual visual dialog agent. We propose several deep models for Visual Dialog and an evaluation protocol for this task …

Hybrid Human Machine workflows for mobility management
E Maddalena, LD Ibáñez, E Simperl, R Gomer… – … Proceedings of The …, 2019 – dl.acm.org
… 4.3). Human side I-Log (data collection) I-Log (trip validation) Raw data Continuous data recording Classified trips Uncertain trips Machine side Question generator Trip identification and classification Citizen answer Request for trip validation Updated training set Validated trips …

The Generator project as a paradigm for systemic design
B Sweeting – Relating Systems Thinking and Design 8: Systems …, 2019 – researchgate.net
… beyond agreement. By continually putting its current use in question, Generator requires any consensus to be continually reaffirmed if it is to continue. Generator’s strategy may inform systemic design in other contexts. Sustaining …

Bob-A General Culture Game with Voice Interaction
M Filimon, A Iftene, D Trandab?? – Procedia Computer Science, 2019 – Elsevier
… In Journal of Software Engineering and Applications, 07(04): 233-255. DOI: 10.4236/jsea. 2014.74025. [2] Aldabe, I., Lopez, d. LM, Maritxalar, M., Martinez, E., and Uria, L. (2006) “ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques” …

Text mining in education
R Ferreira?Mello, M André, A Pinheiro… – … : Data Mining and …, 2019 – Wiley Online Library
Abstract The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among other…

Weak supervision enhanced generative network for question generation
Y Wang, J Zheng, Q Liu, Z Zhao, J Xiao… – arXiv preprint arXiv …, 2019 – arxiv.org
… Self Attention Gated CNN Add & L inear Answer-Related Scoring Function Original Interaction Unit Linea r&Activa te Linea r&Activa te G Question Generator Add & L inear Self Attention Gated CNN Add & L inear Repeat M steps for Attention N steps for Convs Relation Guider …

Acoustic correlates of female confidence: A production and comprehension study
JM Roche, SD Morgan, S Fissel Brannick… – The Journal of the …, 2019 – asa.scitation.org
In the current study, an interactive approach is used to explore possible contributors to the misattributions listeners make about female talker expression of confidence. To do this, the expression…

All Azimuth
IE Sula – allazimuth.com
Page 1. All Azimuth An Eclectic Methodological Approach in Analyzing Foreign Policy: Turkey’s Foreign Policy Roles and Events Dataset (TFPRED) Ismail Erkam Sula To cite this article: Ismail Erkam Sula, “An Eclectic Methodological …

The use of paradigms in information research
PK Kankam – Library & Information Science Research, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Using Games and Smart Devices to Enhance Learning Geography and Music History
M Filimon, A Iftene, DM Trandab?? – 2019 – aisel.aisnet.org
… In Journal of Software Engineering and Applications, 07(04), pp. 233-255 (2014) 2. Aldabe, I., Lopez, d. LM, Maritxalar, M., Martinez, E., Uria, L.: ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques …

E-Totem, Digital Locative Media to Support E-Participation in Cities
V Furtado, L Lima, DA Chagas, V Pinheiro… – International Journal of …, 2019 – igi-global.com
… images. Finally,awebsystemwasdevelopedusingjavawebversion8.0andframeworks likeVRaptor, Hibernateversion5.2andApacheTomcatversion7.0,inthefrontend HTML5,CSS3andJavaScript. Question Generator During …

A Study of Progression in Science Process Skills during a Midwestern Public Research University’s STEM Summer Camps
AF Gill – 2019 – search.proquest.com
Page 1. ABSTRACT A STUDY OF PROGRESSION IN SCIENCE PROCESS SKILLS DURING A MIDWESTERN PUBLIC RESEARCH UNIVERSITY’S STEM SUMMER CAMPS Anila Fiaz Gill, Ph.D. Department of Educational …

A ‘study and research path’enriching the learning of mechanical engineering
E Bartolomé, I Florensa, M Bosch… – European Journal of …, 2019 – Taylor & Francis
… Although, technically speaking, they were not the most competent, their presence in the different groups was crucial for the progress of the project, within the framework of the present SRP inquiry-based methodology, as they played the role of ‘question generators’ …

A case for domain-specific curiosity in mathematics
EG Peterson, J Cohen – Educational Psychology Review, 2019 – Springer
Page 1. REVIEW ARTICLE A Case for Domain-Specific Curiosity in Mathematics Emily Grossnickle Peterson1 & Jana Cohen1 © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Epistemic curiosity …

Leading and Managing Strategic Suppliers
R Moxham – 2019 – books.google.com
Page 1. º ?º SUPPLY AND OPERATIONS – – MANAGEMENT COLLECTION Joy M. Field, Editor Leading and Managing Strategic Suppliers Richard Moxham BUSINESS EXPERT PRESS Page 2. Leading and Managing Strategic Suppliers Page 3 …

A hybrid approach for automatic generation of named entity distractors for multiple choice questions
R Patra, SK Saha – Education and Information Technologies, 2019 – Springer
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment….

Effectiveness of Metcaognitive Learning’s Model in Engineering
S Riadi, S Triono, S Syahril… – International Journal of …, 2019 – repository.unp.ac.id
Page 1. Page 2. Page 3. Page 4. Page 5. Authors: Hemlata Pal, Abhay Kumar Paper Title: MSBE Analysis with Power Metric for Automated Identification of Epileptic Seizure Authors: Elmer B. Dollera, Mark Chester F. Rey, Anjo R. De Jesus, Jiah M. Piloton, Rico R. Salem, Jr …

Kun koen kokeilen–kokeilen kun koen. Kokemus ja kokeellisuus taiteellisessa työskentelyssä ja tutkimuksessa
D Ziegler – 2019 – helda.helsinki.fi
Page 1. Kun koen kokeilen – kokeilen kun koen. Kokemus ja kokeellisuus taiteellisessa työskentelyssä ja tutkimuksessa I Experience as I Experiment – I Experiment as I Experience. Experience and experimentality in artistic work and research Toim. / Ed. Denise Ziegler Page …