Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 7 |
| Since 2007 (last 20 years) | 15 |
Descriptor
| Accuracy | 15 |
| Classification | 15 |
| Questionnaires | 15 |
| Foreign Countries | 10 |
| College Students | 6 |
| Statistical Analysis | 5 |
| Identification | 3 |
| Models | 3 |
| Prediction | 3 |
| Artificial Intelligence | 2 |
| Autism | 2 |
| More ▼ | |
Source
Author
| Bahreini, Kiavash | 1 |
| Ballera, Melvin A. | 1 |
| Burke, Mack D. | 1 |
| Cangin, Causenge | 1 |
| Cascallar, Eduardo C. | 1 |
| Chen, Jiangping | 1 |
| Cheng, Gary | 1 |
| Clemens, Nathan H. | 1 |
| Crane, Laura | 1 |
| Dixon, Michael | 1 |
| Dochy, Filip | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 12 |
| Reports - Research | 12 |
| Dissertations/Theses -… | 2 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 4 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| United Kingdom (England) | 2 |
| Argentina | 1 |
| Australia | 1 |
| Hong Kong | 1 |
| Japan | 1 |
| Netherlands | 1 |
| Philippines | 1 |
| Spain (Andalusia) | 1 |
| Texas | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Autism Diagnostic Observation… | 1 |
| Preschool and Kindergarten… | 1 |
| Program for International… | 1 |
| Strengths and Difficulties… | 1 |
| Wechsler Intelligence Scales… | 1 |
What Works Clearinghouse Rating
Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
Chen, Jiangping; Zhang, Yang; Wei, Yueer; Hu, Jie – Research in Science Education, 2021
Science excellence is associated not only with a student's inherent aptitude but also a range of contextual factors. The objective of this paper was to identify the most important contextual characteristics of top performers in scientific literacy, by simultaneously considering factors at the PISA questionnaire-based student, family, and school…
Descriptors: Scientific Literacy, Science Achievement, High Achievement, Foreign Countries
Fuentes-Luque, Adrián – Journal of Multilingual and Multicultural Development, 2017
Cuisine and restaurants are powerful tools for cultural, social and tourist image-building, and projection for tourist promotion, particularly in the case of major tourist places and destinations which boast a well-deserved, long-standing history and reputation for gastronomical beacons. When menus are not properly translated (or transcreated)…
Descriptors: Foreign Countries, Dining Facilities, Translation, Tourism
Ward, Samantha L.; Sullivan, Karen A.; Gilmore, Linda – Journal of Intellectual & Developmental Disability, 2017
Background: Both parent-report and clinician-administered autism spectrum disorder (ASD) screening instruments are important to accurately inform ASD risk ascertainment. The aim of this study was to adapt a clinician-administered ASD screening instrument, the Autistic Behavioural Indicators Instrument (ABII), as a parent questionnaire equivalent…
Descriptors: Foreign Countries, Autism, Diagnostic Tests, Observation
Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Henry, Lucy A.; Crane, Laura; Nash, Gilly; Hobson, Zoe; Kirke-Smith, Mimi; Wilcock, Rachel – Journal of Autism and Developmental Disorders, 2017
Three promising investigative interview interventions were assessed in 270 children (age 6-11 years): 71 with autism spectrum disorder (ASD) and 199 who were typically developing (TD). Children received "Verbal Labels," "Sketch Reinstatement of Context" or "Registered Intermediary" interviews designed to improve…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Interviews
Osman, Abdulaziz – ProQuest LLC, 2016
The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old…
Descriptors: Information Technology, Middle Management, Questionnaires, Statistical Analysis
Sanagi, Tomomi – Contemporary Issues in Education Research, 2016
Teachers' misunderstanding the concept of inclusive education will not lead to good practices, rather make an exclusive environment for pupils with special educational needs in mainstream schools. This study clarified teachers' attitudes towards the image of inclusive education with conjoint analysis and cluster analysis. The participants for this…
Descriptors: Teacher Attitudes, Attitudes toward Disabilities, Inclusion, Misconceptions
Walker, Peter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Lexical sound symbolism in language appears to exploit the feature associations embedded in cross-sensory correspondences. For example, words incorporating relatively high acoustic frequencies (i.e., front/close rather than back/open vowels) are deemed more appropriate as names for concepts associated with brightness, lightness in weight,…
Descriptors: Sensory Integration, Intonation, Suprasegmentals, Phonology
Burke, Mack D.; Rispoli, Mandy; Clemens, Nathan H.; Lee, Yuan-Hsuan; Sanchez, Lisa; Hatton, Heather – Journal of Positive Behavior Interventions, 2016
Universal behavioral screening is a major part of positive behavioral support and response to intervention systems. Program-wide positive behavioral interventions and supports (PBIS) focuses on establishing social, emotional, and behavioral competence through promotion of a small set of behavioral expectations that are agreed upon, taught, and…
Descriptors: Positive Behavior Supports, Screening Tests, Intervention, Validity
Cheng, Gary – Australasian Journal of Educational Technology, 2017
This study aimed to develop an automatic classification system, namely ACTIVE, for generating immediate and individualised feedback on students' reflective entries about their second language (L2) learning experiences. It also aimed to explore students' attitudes towards using the system to support the development of their reflective skills in L2…
Descriptors: Classification, Second Language Learning, Feedback (Response), Learning Experience
Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip – Frontline Learning Research, 2013
Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…
Descriptors: Prediction, Academic Achievement, Networks, Learning Processes
Dixon, Michael – ProQuest LLC, 2012
This study compares second-year Japanese university students' strategies to write kanji by hand with their strategies to produce the kanji characters on a computer, taking into account factors such as accuracy in writing, the amount of kanji used, the complexity of the kanji used, as well as how the characters used compare with the sequence…
Descriptors: Japanese, Second Language Learning, Second Language Instruction, Comparative Analysis

Peer reviewed
Direct link
