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Archer, Elizabeth; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…
Descriptors: Learning Analytics, Student Evaluation, Educational Objectives, Student Behavior
Hasnine, Mohammad Nehal; Ogata, Hiroaki; Akçapinar, Gökhan; Mouri, Kousuke; Kaneko, Keiichi – International Journal of Distance Education Technologies, 2020
In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This article presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to…
Descriptors: Experiential Learning, Learning Analytics, Vocabulary Development, Authentic Learning
Sharma, Bibhya; Nand, Ravneil; Naseem, Mohammed; Reddy, Emmenual V. – Studies in Higher Education, 2020
The widespread use of technology has facilitated many changes in the education sector including higher education. Academic institutes are concentrating their efforts on measuring the level of student engagement and participation in online learning environments for student success. This paper analyses student log data to quantify the effectiveness…
Descriptors: Blended Learning, Learning Analytics, Electronic Learning, Grades (Scholastic)
Moro, Sérgio; Martins, António; Ramos, Pedro; Esmerado, Joaquim; Costa, Joana Martinho; Almeida, Daniela – Computers in the Schools, 2020
Many university programs include Microsoft Excel courses given their value as a scientific and technical tool. However, evaluating what is effectively learned by students is a challenging task. Considering multiple-choice written exams are a standard evaluation format, this study aimed to uncover the features influencing students' success in…
Descriptors: Multiple Choice Tests, Test Items, Spreadsheets, Computer Software
Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
Gordon, Jerry; Hayden, Trey; Johnson, Andy; Smith, Brent – Advanced Distributed Learning Initiative, 2020
The DoD's [Department of Defense's] Advanced Distributed Learning (ADL) Initiative is designing a framework of commercial standards, technical specifications, and business rules to enable plug and play interoperability of learning technologies. The Total Learning Architecture (TLA) framework will allow education and training products to…
Descriptors: Armed Forces, Military Training, Educational Technology, Delivery Systems
Murray-Boehler, Logan – ProQuest LLC, 2018
Learning analytics has emerged from a confluence of factors including expanding volumes of student data generated from learning management systems and student information systems, advanced technologies for retrieving and analyzing that data, and a desire of higher education institutions to understand more about student behavior, teaching and…
Descriptors: Learning Analytics, Program Implementation, Community Colleges, Privacy
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