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Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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
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
Uluyol, Çelebi; Orak, Esma; Gökçearslan, Sahin; Ramazanoglu, Mehmet – Participatory Educational Research, 2023
This study is designed to reveal the research trends of graduate theses published in the field of computer programming in K-12 between 2018 and 2022. Document analysis was used for data collection in this study. The data was divided into 9 categories, and the results demonstrated that the scholars in the Departments of Computer Educational and…
Descriptors: Computer Science Education, Programming, Kindergarten, Elementary Secondary Education
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
Ostrow, Korinn S.; Wang, Yan; Heffernan, Neil T. – Journal of Learning Analytics, 2017
Data is flexible in that it is molded by not only the features and variables available to a researcher for analysis and interpretation, but also by how those features and variables are recorded and processed prior to evaluation. "Big Data" from online learning platforms and intelligent tutoring systems is no different. The work presented…
Descriptors: Data, Comparative Analysis, Scoring, Mathematics Skills
Ostrow, Korinn S.; Wang, Yan; Heffernan, Neil T. – Grantee Submission, 2017
Data is flexible in that it is molded by not only the features and variables available to a researcher for analysis and interpretation, but also by how those features and variables are recorded and processed prior to evaluation. "Big Data" from online learning platforms and intelligent tutoring systems is no different. The work presented…
Descriptors: Data, Comparative Analysis, Scoring, Mathematics Skills
Nwosu, Jonathan Chinaka; John, Henry Chukwudi; Akorede, O. J. – Educational Research and Reviews, 2018
This study assessed the availability and use of ICT-based Instructional tools in selected medical colleges in Ogun State, Nigeria. This study adopted a descriptive survey research design. The population to be studied is medical lecturers (328), clinical instructors (42) and laboratory technologist (92) from Ben Carson Snr. Medical School, Babcock…
Descriptors: Information Technology, Medical Education, Medical Students, Sampling
Saeed, Farah Jamal Abed Alrazeq; Al-Zayed, Norma Nawaf – International Journal of Education and Literacy Studies, 2018
The study aimed at investigating the attitudes of Jordanian undergraduate students towards using computer assisted-language learning (CALL) and its effectiveness in the process of learning the English language. In order to fulfill the study's objective, the researchers used a questionnaire to collect data, followed-up with semi-structured…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Instruction, Teaching Methods
Pfannkuch, Maxine; Forbes, Sharleen; Harraway, John; Budgett, Stephanie; Wild, Chris – Teaching and Learning Research Initiative, 2013
This report summarizes the research activities and findings from the Teaching and Learning Research Initiative (TLRI)-funded project conducted in Year 13, introductory university and workplace classes, entitled "'Bootstrapping' Statistical Inferential Reasoning". The project was a 2-year collaboration among three statisticians, two…
Descriptors: Sampling, Statistical Inference, Higher Education, Workplace Learning
Tipton, Elizabeth – Society for Research on Educational Effectiveness, 2013
Recent research on the design of social experiments has highlighted the effects of different design choices on research findings. Since experiments rarely collect their samples using random selection, in order to address these external validity problems and design choices, recent research has focused on two areas. The first area is on methods for…
Descriptors: Experiments, Research Methodology, Middle Schools, Secondary School Mathematics
Yeh, Hui-Chin – Computer Assisted Language Learning, 2015
Few studies have investigated how metacognitive processes foster the application of genre knowledge to students' academic writing. This is largely due to its internal and unobservable characteristics. To bridge this gap, an online writing system based on metacognition, involving the stages of planning, monitoring, evaluating, and revising, was…
Descriptors: Metacognition, Statistical Analysis, Academic Discourse, Sampling
Jairam, Dharmananda; Kiewra, Kenneth A.; Kauffman, Douglas F.; Zhao, Ruomeng – Contemporary Educational Psychology, 2012
This study investigated how best to study a matrix. Fifty-three participants studied a matrix topically (1 column at a time), categorically (1 row at a time), or in a unified way (all at once). Results revealed that categorical and unified study produced higher: (a) performance on relationship and fact tests, (b) study material satisfaction, and…
Descriptors: Computer Assisted Instruction, Investigations, Item Sampling, Learning
Buteau, Chantal; Jarvis, Daniel H.; Lavicza, Zsolt – Canadian Journal of Science, Mathematics and Technology Education, 2014
In this article, we outline the findings of a Canadian survey study (N = 302) that focused on the extent of computer algebra systems (CAS)-based technology use in postsecondary mathematics instruction. Results suggest that a considerable number of Canadian mathematicians use CAS in research and teaching. CAS use in research was found to be the…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, National Surveys, Foreign Countries
Annamalai, Nagaletchimee; Tan, Kok Eng – The EUROCALL Review, 2015
Little research in the ESL context has examined the online teaching and learning activities in high schools. One main reason is the lack of appropriate theoretical framework rather than the learners or the environment. Using data from twelve high school students and two teachers from two Malaysian schools, the current study adapted Borup et al.'s…
Descriptors: English (Second Language), Second Language Learning, Check Lists, Writing Instruction
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