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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Jenny Yun-Chen Chan; Erin R. Ottmar; Ji-Eun Lee – Grantee Submission, 2022
We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…
Descriptors: Problem Solving, Algebra, Self Efficacy, Mathematics Anxiety
Castroviejo, Elena; Hernández-Conde, José V.; Lazaridou-Chatzigoga, Dimitra; Ponciano, Marta; Vicente, Agustín – Language Learning and Development, 2023
This paper reports an experiment that investigates interpretive distinctions between two different expressions of generalization in Spanish. In particular, our aim was to find out when the distinction between generic statements (GS) such as "Tigers have stripes" and universally quantified statements (UQS) such as "All tigers have…
Descriptors: Spanish Speaking, Age Groups, Accuracy, Semantics
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Altinbas, Mehmet Emre – Language Teaching Research Quarterly, 2023
Following Richards's (2015) ideas of using movie clips, videos, and games as valuable technological tools for language learning, the present study was conducted to investigate the effectiveness of using novel extracts and computer game cutscenes based on the same story to develop the vocabulary knowledge of English as a foreign language (EFL)…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Comparative Analysis
Woodham, Omar P. – Marketing Education Review, 2018
This article introduces a simulation, Marketplace Live, and compares students' simulation performance with their course performance. The sample is drawn from 13 sections of the author's Marketing Concepts (Principles of Marketing) course. The results support the idea that marketing simulations do contribute to learning marketing concepts. Evidence…
Descriptors: Marketing, Teaching Methods, Instructional Effectiveness, Tests
Dredge, Rebecca; Chen, Shuang – Psychology in the Schools, 2020
Little is known about the social media use of online gamers compared with nongamers and whether the two forms of technology use manifest as the cumulative risk for relational and well-being outcomes in adolescents. Self-report data from 320 Chinese secondary school students (12-17 years) was collected for online gaming and social media use…
Descriptors: Computer Games, Computer Mediated Communication, Well Being, Social Media
Lambert, Richard – Center for Educational Measurement and Evaluation, 2022
Each game within the Ignite by Hatch™ gaming environment belongs to an overall developmental domain and skills-based subdomain and is intended to meet the developmental needs of children at specific skill levels. These skill levels (Beginning, Emerging, Intermediate, Accomplishing, and Proficient+) form an intended developmental pathway. Children…
Descriptors: Formative Evaluation, Child Development, Developmental Stages, Computer Games
Rasti-Behbahani, Amin; Shahbazi, Maryam – Computer Assisted Language Learning, 2022
This study investigates the probable effect of a digital game-based vocabulary learning (DGBVL) task on the acquisition of some components of a word knowledge framework. In so doing, 124 Persian speakers (56 males and 68 females) were randomly assigned to either a control or an experimental group. The experimental group participants completed a…
Descriptors: Computer Games, Game Based Learning, Comparative Analysis, Task Analysis
Linantud, John; Kaftan, Joanna – Journal of Political Science Education, 2019
This article uses a multimethod research design to compare Statecraft to non-Statecraft assignments and courses along three dimensions: student engagement, political attitudes, and academic honesty. The results indicate that Statecraft increased student engagement and academic honesty. In terms of political attitudes, students generally remained…
Descriptors: Political Science, Teaching Methods, Comparative Analysis, International Relations
Chen, Yuchun; Lin, Wen-Jing – Child Language Teaching and Therapy, 2022
Background: Children with developmental language disorder (DLD) demonstrate deficits in vocabulary development and novel word learning processes, which have been proposed to stem from their speech perception deficits. Aims: This study had two aims. The first was to evaluate the efficacy of an intervention incorporating a computer-based phonetic…
Descriptors: Intervention, Phonetics, Vocabulary Development, Language Impairments
Sundqvist, Pia – Language Learning & Technology, 2019
The purposes of this study are to examine the relation between playing commercial-off-the-shelf (COTS) games in the wild and L2 English vocabulary and to offer comparisons with non-gamers' vocabulary. Data were collected from two samples of teenage L2 English learners in Sweden, Sample A (N = 1,069) and Sample B (N = 16). Questionnaires and…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Werneck, André O.; Silva, Danilo R.; Agostinete, Ricardo R.; Fernandes, Rômulo A.; Ronque, Enio R. V.; Oyeyemi, Adewale L.; Cyrino, Edilson S. – Health Education & Behavior, 2018
Aim: To investigate the association of parental and adolescents' screen time with self-rated health and to examine the mediating effects of psychosocial factors (social relationships and distress) on this association. Method: A cross-sectional study was conducted among 984 Brazilian adolescents (10- to 17-year-olds). Self-rated health, screen time…
Descriptors: Foreign Countries, Correlation, Parents, Adolescents
Designing Effective Pedagogical Approaches with Next-Generation LMS for Students in Higher Education
Laohajaratsang, Thanomporn – THAITESOL Journal, 2018
This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…
Descriptors: Management Systems, Artificial Intelligence, Social Media, Computer Mediated Communication
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