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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
Mutimukwe, Chantal; Viberg, Olga; Oberg, Lena-Maria; Cerratto-Pargman, Teresa – British Journal of Educational Technology, 2022
Understanding students' privacy concerns is an essential first step toward effective privacy-enhancing practices in learning analytics (LA). In this study, we develop and validate a model to explore the students' privacy concerns (SPICE) regarding LA practice in higher education. The SPICE model considers "privacy concerns" as a central…
Descriptors: Privacy, Learning Analytics, Student Attitudes, College Students
Brown, Alice; Lawrence, Jill; Basson, Marita; Redmond, Petrea – Higher Education Research and Development, 2022
Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…
Descriptors: Electronic Learning, Learner Engagement, Instructional Improvement, College Instruction
Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
Dommett, Eleanor J.; Dinu, Larisa M.; Van Tilburg, Wijnand; Keightley, Samuel; Gardner, Benjamin – International Journal of Educational Technology in Higher Education, 2022
Lecture capture is popular within Higher Education, but previous research suggests that students do not always optimally select content to review, nor do they make the most of specific functions. In the current study conducted in the 2019/20 academic year, we used a repeated-measures crossover design to establish the effects of transcripts with…
Descriptors: Visual Aids, Transcripts (Written Records), Prompting, Lecture Method
Besbes, Seifeddine; Twala, Bhekisipho; Besbes, Riadh – Journal of Educational Technology Systems, 2022
In this paper, an empirical comparison of three state-of-the-art classifier methods (artificial immune recognition systems, Lazy-K Star, and random tree) to predict teachers' ability to adapt in a classroom environment is carried out. Two educational databases are used for this task. First, measures collected in an academic context, especially…
Descriptors: Instructional Effectiveness, Learning Analytics, Adjustment (to Environment), Classroom Environment
Siew, Cynthia S. Q. – Journal of Learning Analytics, 2022
This commentary discusses how research approaches from Cognitive Network Science can be of relevance to research in the field of Learning Analytics, with a focus on modelling the knowledge representations of learners and students as a network of interrelated concepts. After providing a brief overview of research in Cognitive Network Science, I…
Descriptors: Network Analysis, Learning Analytics, Cognitive Processes, Knowledge Level
Luis, Ricardo M. Meira Ferrão; Llamas-Nistal, Martin; Iglesias, Manuel J. Fernández – Smart Learning Environments, 2022
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners' involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a…
Descriptors: Artificial Intelligence, Identification, Electronic Learning, Dropout Characteristics
Schmitz, Marcel; Scheffel, Maren; Bemelmans, Roger; Drachsler, Hendrik – Journal of Learning Analytics, 2022
Learning activities are at the core of every educational design effort. Designing learning activities is a process that benefits from reflecting on previous runs of those activities. One way to measure the behaviour and effects of design choices is to use learning analytics (LA). The challenge, however, lies in the unavailability of an…
Descriptors: Learning Analytics, Instructional Design, Learning Activities, Decision Making
Martinez-Maldonado, Roberto; Elliott, Doug; Axisa, Carmen; Power, Tamara; Echeverria, Vanessa; Buckingham Shum, Simon – Interactive Learning Environments, 2022
Learning Analytics (LA) systems can offer new insights into learners' behaviours through analysis of multiple data streams. There remains however a dearth of research about how LA interfaces can enable effective communication of educationally meaningful insights to teachers and learners. This highlights the need for a participatory, horizontal…
Descriptors: Learning Analytics, Design, Teamwork, Clinical Experience
Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
Christhilf, Katerina; Newton, Natalie; Butterfuss, Reese; McCarthy, Kathryn S.; Allen, Laura K.; Magliano, Joseph P.; McNamara, Danielle S. – International Educational Data Mining Society, 2022
Prompting students to generate constructed responses as they read provides a window into the processes and strategies that they use to make sense of complex text. In this study, Markov models examined the extent to which: (1) patterns of strategies; and (2) strategy combinations could be used to inform computational models of students' text…
Descriptors: Markov Processes, Reading Strategies, Reading Comprehension, Models
Tong Li; Sarah D. Creer; Tracy Arner; Rod D. Roscoe; Laura K. Allen; Danielle S. McNamara – Grantee Submission, 2022
Automated writing evaluation (AWE) tools can facilitate teachers' analysis of and feedback on students' writing. However, increasing evidence indicates that writing instructors experience challenges in implementing AWE tools successfully. For this reason, our development of the Writing Analytics Tool (WAT) has employed a participatory approach…
Descriptors: Automation, Writing Evaluation, Learning Analytics, Participatory Research
Kristopher Kyle – Vocabulary Learning and Instruction, 2022
This paper represents a summary and discussion of the three studies presented at the morning session of the Fall 2022 JALT Vocabulary SIG. The papers, which were written by Ali Al-Hoorie, Masaki Eguchi, Derek Canning, Stuart McLean, Christopher Nicklin, and Joseph Vitta, represent a range of topics and study designs that are common in recent…
Descriptors: Language Research, Educational Trends, Vocabulary Development, Language Tests
Eva Expósito-Casas; Ana González-Benito; Esther López-Martín – International Journal for Educational and Vocational Guidance, 2024
The purpose of this work is to identify contextual variables that help to explain the occupational aspirations of Spanish 15-year-old students. This is done by performing a secondary analysis of the PISA2018 test. Data have been analysed using decision trees introducing the students' expected occupational status as a dependent variable (DV), and…
Descriptors: Occupational Aspiration, Secondary School Students, Foreign Countries, Self Concept