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Courtney, Elya; Morris, Collin; Courtney, Michael – Physics Teacher, 2018
Undergraduate lab design balances several factors: 1) simple experiments connected with learning objectives, 2) experiments sufficiently accurate for comparisons between theory and measurements without gaps when students ascribe discrepancies to confounding factors (imperfect simplifying assumptions, measurement uncertainties, and "human…
Descriptors: Electronic Equipment, Measurement, Accuracy, Physics
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Bosch, Nigel; Paquette, Luc – Journal of Learning Analytics, 2018
Metrics including Cohen's kappa, precision, recall, and F[subscript 1] are common measures of performance for models of discrete student states, such as a student's affect or behaviour. This study examined discrete model metrics for previously published student model examples to identify situations where metrics provided differing perspectives on…
Descriptors: Models, Comparative Analysis, Prediction, Probability
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Fazeli, Soude; Drachsler, Hendrik; Bitter-Rijpkema, Marlies; Brouns, Francis; Brouns, Wim van der Vegt; Sloep, Peter B. – IEEE Transactions on Learning Technologies, 2018
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction. Therefore, evaluations that measure user satisfaction should also be performed before…
Descriptors: Evaluation, Socialization, Accuracy, Prediction
Pei-Hsuan Chiu – ProQuest LLC, 2018
Evidence of student growth is a primary outcome of interest for educational accountability systems. When three or more years of student test data are available, questions around how students grow and what their predicted growth is can be answered. Given that test scores contain measurement error, this error should be considered in growth and…
Descriptors: Bayesian Statistics, Scores, Error of Measurement, Growth Models
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Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
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Chao Zhou; Anabela Rato – Second Language Research, 2024
This study reports syllable position effects on second language (L2) Portuguese speech perception, revealing that L2 segmental learning may be prone to an influence from the suprasegmental level. The results show that first language (L1) Mandarin learners had diminished performance on the discrimination between the target Portuguese liquids (/l/…
Descriptors: Syllables, Second Language Learning, Native Language, Mandarin Chinese
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Jessica B. Koslouski; Sandra M. Chafouleas; Amy Briesch; Jacqueline M. Caemmerer; Brittany Melo – Grantee Submission, 2024
We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a…
Descriptors: Screening Tests, Usability, Decision Making, Validity
Hitoshi Nishizawa – ProQuest LLC, 2024
Many studies evidence the flexibility of speech perception in the first language (L1), which allows rapid adaptation to unfamiliar foreign accents. Two influential studies by Bradlow and Bent (2008) and a follow-up study by Baese-Berk et al. (2013) found that increased variability as a function of the number of talkers and accents facilitated the…
Descriptors: Second Language Learning, Second Language Instruction, Auditory Perception, Pronunciation
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Muna Abd El-Raziq; Natalia Meir; Elinor Saiegh-Haddad – Language Acquisition: A Journal of Developmental Linguistics, 2024
Arabic is characterized by diglossia, which involves the use of two language varieties within a single speech community: Spoken Arabic (SpA) for everyday speech and Modern Standard Arabic (MSA) for formal speech and reading/writing. Earlier research suggests that some Arabic-speaking children with Autism spectrum disorder (ASD) might favor MSA…
Descriptors: Autism Spectrum Disorders, Dialects, Language Variation, Arabic
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Tangtorrith, Nipaporn; Pongpairoj, Nattama – LEARN Journal: Language Education and Acquisition Research Network, 2022
This study aimed to investigate the production of stress in English compound nouns and phrasal verbs by L1 Thai learners. Based on the Interlanguage Hypothesis (Corder, 1982; Selinker, 1972), it was hypothesized that (1) there is a positive relationship between English proficiency levels and accuracy in stress assignment in compound nouns and…
Descriptors: Phonology, Interlanguage, Correlation, English (Second Language)
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Ho, Pok Jing – Language Testing in Asia, 2022
This study examines the range of cognitive processes assessed in the English language reading literacy test as part of the Hong Kong Diploma of Secondary Education Examination (HKDSE), the secondary school exit test in Hong Kong. Prior studies have suggested that higher order cognitive processes are often undermined in high-stakes tests and…
Descriptors: Foreign Countries, Secondary School Students, Test Items, Cognitive Processes
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Dutta, Rubina; Mantri, Archana; Singh, Gurjinder – Smart Learning Environments, 2022
The education system evolves and transforms towards interactive and immersive learning tools in this digital age. Augmented reality has also evolved as a ubiquitous, robust, and effective technology for providing innovative educational tools. In engineering education, many abstract concepts require technological intervention for conceptual…
Descriptors: Usability, Computer Simulation, Engineering Education, Intervention
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Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
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Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
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Jevtovic, Mina; Stoehr, Antje; Klimovich-Gray, Anastasia; Antzaka, Alexia; Martin, Clara D. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Effects related to literacy acquisition have been observed at different levels of speech processing. This study investigated the link between orthographic knowledge and children's perception and production of specific speech sounds. Method: Sixty Spanish-speaking second graders, differing in their phonological decoding skills, completed a…
Descriptors: Phoneme Grapheme Correspondence, Emergent Literacy, Task Analysis, Decoding (Reading)
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