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Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Kohnke, Lucas; Foung, Dennis; Chen, Julia – Educational Technology & Society, 2023
This study investigated how English learners complete multimodal formative quizzes. Participants included 17,950 students enrolled in a mandatory English for Academic Purposes course at a university in Hong Kong. We retrieved data from Blackboard, a learning management system, and conducted a two-step cluster analysis to examine student…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Foreign Countries
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Sahin Kizil, Aysel – Journal of Computer Assisted Learning, 2023
Background: Data-driven learning (DDL) has been regarded as one of the promising approaches that could effectively enhance writing performance of English as a foreign language (EFL) learners. Although extensive research has been conducted on the use of DDL in developing various aspects of writing skill, there exist only few studies to date that…
Descriptors: Learning Analytics, English (Second Language), Second Language Learning, Second Language Instruction
Michaels, J.; Nadasen, D.; Thornton, G.; Rush-Marlowe, R.; Frederick, A.; Freelove-Kirk, T.; Chadwick, J. – Association of Public and Land-grant Universities, 2023
The Powered by Publics (PxP) initiative has been an ambitious undertaking from the beginning, aiming to produce hundreds of thousands more undergraduate degrees and halving equity gaps for low-income, minoritized, and first-generation students by 2025. APLU has collected student performance data from the 127 participating institutions over the…
Descriptors: Land Grant Universities, Undergraduate Students, Academic Achievement, Low Income Students
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Yuyus Saputra; Fuad Abdullah – MEXTESOL Journal, 2023
Language learning engagement has awakened interest in recent decades. This has taken place because engagement enables students to perform physical and mental, goal-directed, and purpose-driven activities. Unfortunately, keeping students emotionally engaged during Emergency Remote Teaching (ERT) remains under-researched. Therefore, this study…
Descriptors: Distance Education, Emotional Response, English (Second Language), Second Language Instruction
Foung, Dennis; Chen, Julia; Lin, Linda – CALICO Journal, 2022
With the outbreak of COVID-19 in 2020, many universities shifted to online teaching. However, some online instruction had already been implemented well before the pandemic. This study investigates (1) how engagement in blended CALL activities differed during the pandemic, and (2) in what ways the assessment outcomes were associated with student…
Descriptors: Blended Learning, Universities, Educational Change, COVID-19
Amanova, Chynar – Quarterly Review of Distance Education, 2022
Current technologies for qualitative data analysis treat all types of data analysis as a homogeneous category, and for this reason, the value of other technologies for a discourse analysis of transcripts is not well examined. Therefore, the current study addresses how qualitative data can be analyzed by a learning analytic tool, such as Knowledge…
Descriptors: Student Attitudes, Foreign Students, Discourse Analysis, Computer Software
Máverick André; Anderson Pinheiro; Vitor Rolim; Rafael Dueire Lins; Taciana Pontual Falcão; Rafael Ferreira Mello – Computer-Based Learning in Context, 2022
Learning Management Systems (LSM) have been adopted to provide interaction between instructors and students in online learning courses. In these environments, large volumes of messages are exchanged, making it difficult for the participants to follow all the discussions. When messages are ignored, students' opportunities to effectively construct…
Descriptors: Learning Analytics, Computer Mediated Communication, Discussion Groups, Portuguese
Cloude, Elizabeth B.; Carpenter, Dan; Dever, Daryn A.; Azevedo, Roger; Lester, James – Journal of Learning Analytics, 2021
Reflection is critical for adolescents' problem solving and learning in game-based learning environments (GBLEs). Yet challenges exist in the literature because most studies lack a theoretical perspective and clear operational definition to inform how and when reflection should be scaffolded during game-based learning. In this paper, we address…
Descriptors: Game Based Learning, Video Games, Learning Analytics, Microbiology
Israel-Fishelson, Rotem; Hershkovitz, Arnon; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Journal of Educational Computing Research, 2021
Creativity and Computational Thinking (CT) have been both extensively researched in recent years. However, the associations between them are still not fully understood despite their recognition as essential competencies for the digital age. This study looks to bridge this gap by examining the association between CT and two types of creativity,…
Descriptors: Learning Analytics, Correlation, Creativity, Creative Thinking
Crosslin, Matt; Breuer, Kimberly; Milikic, Nikola; Dellinger, Justin T. – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: This study explores ongoing research into self-mapped learning pathways that students utilize to move through a course when given two modalities to choose from: one that is instructor-led and one that is student-directed. Design/methodology/approach: Process mining analysis was utilized to examine and cluster clickstream data from an…
Descriptors: Online Courses, History Instruction, Learning Processes, Student Centered Learning
Xu, Cuiqin; Xia, Jun – Computer Assisted Language Learning, 2021
The last two decades have witnessed a quick shift from pen-and-paper writing to computer keyboard writing. Corresponding to this shift in the writing medium are vigorous research efforts to understand new features of writing in computer keyboard settings. Using Inputlog7.0, this study investigated the writing process of 60 Chinese English as a…
Descriptors: Scaffolding (Teaching Technique), Writing Processes, Writing Skills, English (Second Language)
Pennacchia, Jodie; Bathmaker, Ann-Marie – British Educational Research Journal, 2021
The English further education (FE) sector caters for young learners who are regularly defined as at risk due to a range of economic and social challenges, as transitions from youth to adulthood become more protracted, and inequalities amongst young people and between generations persist and deepen. At a time when policy places increasing…
Descriptors: Governing Boards, Social Justice, Cost Effectiveness, Foreign Countries